Browse Topic: Transmission gears

Items (543)
Solar greenhouses in winter or mountainous areas can be at risk of roof snow accumulation, leading to collapse, poor lighting, and sudden drops in temperature. The snow removal technologies presently employed on these greenhouses have the disadvantages of being cumbersome to adjust, being intricately structured, having a high cost, having high energy consumption, and being poorly adaptable to the curvature of the plastic. An intelligent snow removal device for removing snow on a northern solar greenhouse roof, and an automatic alarm safety system were designed to solve the problems. The device consists of a snow-clearing mechanism, a traversing mechanism, and detection-alarm modules. The mechanism for snow removal consists of a crank-slider with a curved guide rail. The snow removal rod is driven by the gear motor, which goes back and forth on the arched top. A bevel gear transmission system drives the gear motor mechanism. Due to this, the transverse mechanism moves with an interrupting jump-action on transverse rails around many different zones. The system for monitoring snow pressure has a distributed sensor that is programmed as a shield using an Arduino software system. The sensors detect the pressure of the snow in real-time. When the snow pressure hits the threshold, it activates the mechanism for coordinated functioning. This mechanism triggers snow clearing when the pressure threshold is achieved to avoid energy consumed through “premature clearing”. It also fits well on the curved surfaces of the greenhouse without any jamming. The snow removal machine’s various components and operations would accomplish full span snow removal and make it possible to overcome high labour intensity, slow manual response, energy waste, and others. The technology can enhance the safety of winter production of northern greenhouse crops and improve the disaster-resistant capacity of modern agriculture facilities. This technology has been granted a patent for invention.
Fu, ChengguoWei, ShanxiangZhang, RongxianDing, XuefengGao, Yulan
The dynamic characteristics of the electric drive axle of the new energy commercial vehicle is an important performance to evaluate its quality, and the dynamic performance of the two-stage helical gear transmission system in the electric drive axle reducer directly reflects the dynamic performance of the electric drive axle. This study focuses on the secondary gear transmission system of the electric drive axle reducer of the new energy commercial vehicle, and mainly studies the influence of the tooth surface contact stiffness with the change of meshing on the vibration performance of the transmission system. Through establishing the coupled nonlinear dynamic model of torque-begear shaft of high-speed helical gear, the dynamic equations of the system under the influence of time-variable contact mesh stiffness are derived. Taking gear error excitation and support stiffness into consideration, a 3D model software is used to build the simulation virtual model of bevel gear of electric drive axle reducer, and the dynamic simulation analysis of its transmission system is carried out. By setting different tooth contact stiffness coefficients, the variation rules of translational vibration acceleration, angular acceleration and spectrum response of transmission gears are studied systematically. Simulation results indicate that selecting the contact stiffness coefficient within 80% to 90% of the average mesh stiffness value leads to improved meshing performance in the gear transmission system of an electric drive axle reducer. This configuration results in reduced vibration amplitude, narrower sidebands, and decreased dynamic transmission error, thereby effectively enhancing the NVH performance of the transmission system. The findings also provide an important reference for optimizing the meshing behavior of electric drive axle reducers.
Pan, YunpingSong, JunchenDu, ShuaiWu, ChangquanLiao, Lieping
Considering the spatial harmonic and time harmonic excitation of the permanent magnet synchronous motor, and the dynamic meshing excitation of gear pairs, this paper constructs one electromechanical coupling torsional vibration model. The torsional vibration characteristics of the electric drive transmission system in pure electric vehicles are investigated. Key electromechanical parameters are obtained by numerical calculations, and the electromechanical coupling system model is solved using the Runge-Kutta method. Finally, the system dynamic response characteristics at rated speed of 3000 r/min are analyzed. The results indicate that the significant bidirectional coupling exists between the electromagnetic excitation of the motor and the mechanical excitation of the gear transmission system. The current spectrum contains fundamental and harmonic components, along with components of gear meshing frequencies and their modulated sideband characteristics relative to the electrical frequency. The electromagnetic torque spectrum exhibits components of gear meshing frequencies, and gear angular velocity fluctuations are influenced by motor harmonic excitation. Under multi-source excitation, this study reveals the frequency modulation mechanism of torsional vibrations in electromechanical coupling drive systems, providing a theoretical basis for vibration and noise suppression.
Luo, YaouZhao, KaihuaFu, Shengping
High-precision five-axis machining puts forward strict requirements for the stiffness and position stability of the AC double-angle milling head, especially when the gear transmission system is used under heavy cutting load and complex force coupling conditions. In the actual processing environment, the non-uniform deformation caused by structural coupling and load changes will directly affect the machining accuracy and stability. In order to solve these problems, this paper designs and analyzes a gear-type AC double-angle milling head with a pendulum structure and a layered modular structure. A parametric finite element model was established, and ABAQUS software was used to conduct a static analysis of two typical A-axis directions (0° and 90°), taking into account the internal prestressing force generated by gravity, cutting force, and gear meshing to reflect the typical working conditions. Under the same boundary conditions and load conditions, the influence of different structural materials on the overall stiffness was further studied through comparative analysis. The results show that under the conditions of five-axis linkage machining and positioning machining, the overall deformation of the milling head is maintained within the micron range, which meets the requirements of high-precision machining. The deformation behavior shows obvious dependence on the A-axis direction, reflecting the inherent anisotropic stiffness characteristics of the structure. Compared with the traditional structure, the proposed design has better rigidity performance under combined load conditions and provides practical reference values for the subsequent structural optimization, material selection, and precision control of high-performance five-axis CNC milling heads.
Xie, XinguiYuan, YongchaoQi, QuanLi, Xiangshuai
This study investigates the knocking noise phenomenon in a marine dual-power dual-branch transmission gear system. Vibration mechanisms are analyzed, and potential failure modes are assessed. System vibration data were evaluated using time-domain and frequency-domain methods. Results show that overall vibration levels remained within acceptable limits, with no indication of imminent failure. Physical inspection confirmed that the shaft, gears, bearings, housing, and installation met specifications, with no observed performance degradation or structural damage. By correlating noise occurrence with vessel loading conditions, a strong relationship was identified among gear transmission torque, the power distribution ratio between high-and low-pressure turbines, and the onset of knocking. Specifically, under low-load conditions, uneven power and torque distribution among the four gear branches led to insufficient loading on the low-pressure side. This light-load state induced instability in the low-pressure gears, resulting in periodic tooth disengagement or back-side tooth contact, which is established as the root cause of the knocking noise.
Gu, ChengzhongXu, HanweiLuo, RirongRen, Fushan
In response to the problem of manual transmission rattle noise in the acceleration process of a truck, the mechanism of the problem is analysed, and the scheme is developed and verified from two aspects: reducing the torsional vibration of the system and reducing the response of the transmission gear. The results show that, on the one hand, reducing the clutch stiffness and optimizing the torsional vibration of the system can reduce the rattle noise of the transmission; On the other hand, it can also reduce the rattle noise of transmission gears by improving the engagement precision of transmission gears and reducing the gear clearance. Considering the improvement effect, cost, and influence on other performance of the two schemes, the appropriate engineering scheme is selected to effectively solve the problem and improve the riding comfort of the product.
Yang, ZhijieXu, Binghua
Many high-end electric vehicles use an automatic two-speed transmission. The ability of the drivetrain to switch between two gear ratios improves vehicle performance and increases driving range. The aim of the presented research work is to transfer these advantages to small and lightweight battery-electric vehicles, which face significant cost and weight constraints and therefore cannot rely on highly sophisticated electric motors. Direct-drive systems are widely used in this vehicle class due to their simplicity and high baseline efficiency. However, they offer limited flexibility in adapting the operating point of the electric motor under varying load conditions. A two-speed transmission can overcome this limitation by enabling load point shifting, allowing the motor to operate closer to its optimal efficiency region during both urban and extra-urban driving. This results in improved energy consumption without adding substantial system complexity. Currently, only actuated transmissions are offered on the market, with automation adding a high degree of complexity and representing a major cost driver. Therefore, the focus during the concept development phase was on designing a fully mechanical, self-shifting system to meet the cost pressures of the targeted vehicle classes. Hence, the team at ITnA developed and patented a solution that enables automatic gear changes solely based on output torque, which reflects the motor load and the current driving situation. In the present work, both the operating principle of the technology and the advantages regarding the performance and efficiency of electric vehicles are described. Owing to its simple architecture and the absence of electronics, the transmission is inherently robust and durable, making it a significant contribution to the development of sustainable and affordable e-mobility for the mass market.
Napetschnig, ChristofTromayer, JuergenStückler, David
The Army requires rotorcraft drive systems to operate for 30 minutes following a loss of lubrication event to make an emergency landing. Coatings research has shown great promise for loss of lubrication, but coating repeatability and quality control is a primary hurdle. The Army partnered with Acree Technologies via a Small Business Innovation Research (SBIR) effort to develop an optimized gear coating for loss of lubrication. The research culminated in a system level transmission experiment that maintained flight relevant torque and speed through a helicopter gearbox without oil for three hours. The authors decided to shutdown the experiment for inspection after three hours of operation without oil because the temperature and vibration signals maintained steady state conditions without signs of failure. Teardown analysis showed the transmission gear surfaces did not scuff, scanning electron microscope analysis showed coating remained on the gear teeth, and cross-sectional SEM analysis showed a measurable coating thickness remaining on the gear teeth after three-hours of operation without oil.
Riggs, MarkPomplon, WilliamFetty, JasonMilligan, RyanWoods, RonWong, KelvinMatzke, CalebJacques, KellyHood, Adrian
With the development in motor technology and battery technologies, the scope for a low-cost EV has been increasing in India. There remains an after-mark potential for conversion of an ICE powered two-wheeler to an EV power train. Such a move reduces the carbon footprint from the vehicle drastically and is still being explored. This study investigates the effect of replacing the ICE with an electric motor in a 125cc motorcycle, with a particular focus on vehicle handling performance using Slalom test. The two wheelers were modelled using calculated mass properties and estimated / calculated moments of inertia using CAD for both ICE and electric powertrains. The electric propulsion system took into consideration the role of a battery pack in the mass and MI calculation. The framework with degrees of freedom is well established in BIKESIMTM simulation environment. A slalom test with automatic gear shift and throttle to maintain speed of the vehicle was set-up to estimate the handling performance. The speeds of the vehicle were computed for 60kmph condition. The output parameters of interest were the steering angle, steering torque, yaw rate, lateral acceleration and lean angle. Within the assumptions of this work, the results from the simulations indicated that handling performance of the retrofitted EV power train was comparable to that of an ICE vehicle and rider may not feel it to be drastically different.
Sankarasubramanian, HariharanM, ShaghasraV, Ramprathap
This study develops a one-dimensional (1D) model to enhance transmission efficiency by evaluating power losses within a transmission system. The model simulates power flow and identifies losses at various stages such as gear mesh, bearing, churning, and windage losses. Using ISO/TR 14179, which provides a method for calculating the thermal transmittable power of gear drives with an analytical heat balance model, the 1D model ensures accurate thermal capacity evaluation under standard conditions. A key advantage of this 1D model is its efficiency in saving time compared to more complex 3D modelling, making it particularly useful during the conceptual stage of transmission system development. This allows engineers to quickly assess and optimize transmission efficiency before committing to more detailed and time-consuming 3D simulations. To validate the model, experimental tests were conducted at various motor speeds (RPM) and torque values, using high-precision sensors and dynamometers to measure input and output power. The data obtained from experiments aligned well with the outcomes predicted by the model, showing average relative deviations of 2.63% for efficiency. This methodology offers critical insights for improving design and performance of transmission systems in automotive applications. The validated 1D model serves as a reliable tool for optimizing transmission efficiency, this contributes to the advancement of more efficient and environmentally sustainable vehicles. Recent research, including the 2023 U.S. Electric Vehicle Consideration (EVC) Study by J.D. Power, supports this trend, highlight the growing consumer interest in electric vehicles and the importance of addressing transmission efficiency to meet market demands. Additionally, the development of new transmission systems for hybrid vehicles emphasizes the need for innovative solutions to enhance system efficiency and performance.
Bandi, Nagendra ReddyKolla, KalyanP, SelvandranPulugundla, Krishna ChaitanyaM A, Naveen Kumar
Electric vehicle (EV) transmissions play a vital role in powering EVs by channeling energy from the electric motor to the wheels. Recently, the focus has shifted to multi-speed transmissions in the EV sector due to their potential to improve efficiency and performance. By utilizing various gear ratios, these transmissions enable the motor to function within its most efficient range across different speeds. Most of these transmissions need electric control unit (ECU) with software for optimal functionality and smoother gear shifting. These controllers incorporate controller area network (CAN) communication protocol to operate along with other ECUs. Thus validation of these transmissions is a challenge as they are clutch less, motor has to be controlled for speed matching and have electro mechanical systems replacing conventional systems for operation. This paper proposes a methodology to validate multispeed EV transmissions on a test bench. The validation setup consists of electric motor at the input of a two speed EV transmission and inertia at the output of the transmission to simulate vehicle along with control unit flashed with vehicle level software. Scripts based on C-language and panels are developed which use CAN database (dbc) file of the vehicle to communicate between electric motor, transmission and vehicle control unit. Using the panels the user either controls the gear shift actuation manually or automate the gear shifting process as per vehicle operating conditions for evaluating the gear shift process. Using the mentioned methodology various vehicle scenarios can be simulated and validated on test bench at early stages, thus providing important feedback in development stage for software refinement for optimal operation of the motor and transmission actuator during gear shift process. The developed scripts can be modified to match for other vehicle configurations.
Thambala, PrashanthPatel, HiralSoor, Debasis
Identifying the type of drive cycle is crucial for analyzing customer usage, optimizing vehicle performance and emission control. Methods that rely on geographical location for drive cycle identification are limited by varying driving conditions at the same location (e.g. heavy traffic during peak hours vs. free-flowing traffic at night). This paper proposes a methodology to identify the type of drive cycle (city, interurban, highway or hybrid) using drive characteristics derived from vehicle data rather than geographical location. Real-world vehicle data from testing trucks is taken, whose drive profiles are already known. Initially, multiple characteristic features of the drive cycle are identified from literature surveys and domain experience. These features, which can be extracted from basic signal data, include gear shifts, time spent in different driving modes (acceleration, cruise, standstill), velocity distributions, and an 'aggressiveness factor' representing overall driving style. Using ML based feature selection techniques, the most important features are selected for this cause. With these finalized parameters, a data-driven classification model is developed. This model is trained, validated, and tested using the identified real-world vehicle data. It classifies drive cycles into four major types: city, interurban, highway, and hybrid with a high degree of accuracy. This classification enables accurate identification of drive cycles, addressing the limitations of location-based methods. The developed model is employed to determine the type of drive cycle driven by customers, thereby aiding in the analysis of the influence of drive cycles on vehicle performance and emissions.
Reddy, Mallangi PrashanthGorain, RajuGanguly, Gourav
More efficient drivetrain technologies are in greater demand in the two-wheeler market as a result of the introduction of BS6.2 emission standards. In order to satisfy these performance and regulatory requirements, Continuously Variable Transmission (CVT) systems, which are renowned for their stepless gear shifting and increased fuel efficiency, are being given more and more consideration. However, because CVT is nonlinear and multibody dynamic, accurately predicting its behavior is still a difficult task. With an emphasis on variables like belt slip, pulley misalignment, and transmission efficiency, this study provides a thorough multibody dynamic analysis of a belt-type CVT system used in two-wheelers. High-fidelity analysis of the belt-pulley interaction under various load and speed conditions is now possible thanks to the development of a novel modeling methodology The method makes early design validation easier, minimizes iterations of physical prototyping and helps to maximize system performance. This study supports the automotive industry's drive for affordable and emission-compliant vehicle development by offering a strong framework for virtual validation of CVT systems under actual operating conditions.
Shah, SwapnilMane, PrashantVoncken, AntoniusEmran, Ashraf
Driver-in-the-Loop (DIL) simulators have become crucial tools across automotive, aerospace, and maritime industries in enabling the evaluation of design concepts, testing of critical scenarios and provision of effective training in virtual environments. With the diverse applications of DIL simulators highlighting their significance in vehicle dynamics assessment, Advanced Driver Assistance Systems (ADAS) and autonomous vehicle development, testing of complex control systems is crucial for vehicle safety. By examining the current landscape of DIL simulator use cases, this paper critically focuses on Virtual Validation of ADAS algorithms by testing of repeatable scenarios and effect on driver response time through virtual stimuli of acoustic and optical warnings generated during simulation. To receive appropriate feedback from the driver, industrial grade actuators were integrated with a real-time controller, a high-performance workstation and simulation software called Virtual Test Drive (VTD). By developing an integrated solution for acquiring driver response, creation of scenarios and evaluation of control systems, this paper focuses on virtual validation of systems in a time saving and cost-effective manner.
Sharma, ChinmayaBhagat, AjinkyaKale, Jyoti GaneshKarle, Ujjwala
Model Based Design (MBD) uses mathematical modelling to create, test and refine systems in simulated environment, primarily applied in control system development. This paper discusses an approach to control gear shifting using shift logic on vehicle level for twin clutch transmission using prototype controller. Twin clutch transmission is a concept with two clutches, one at input end of the transmission called primary clutch and the other at output end of the transmission called secondary clutch. This concept is proposed to counter the challenges with conventional transmission which include increased gear shift time and effort in lower gears, potential rollback of vehicle in uphill condition and chance of missed shifts. The advantages of this concept include reduced gear shift effort and improved synchronizer life with potential for reducing the size of the synchro pack. This paper proposes a methodology to develop shift logic, integrate hardware with software, flashing and calibration on vehicle using prototype controller. The shift logic is implemented using state machines in ASCET. The state machine uses vehicle speed, accelerator pedal position, gear shifter input, shift maps and current gear to determine most optimal gear shift in real-time. This control logic is then converted into c-code and integrated with hardware using INTECRIO, which is a build environment where inputs and outputs are mapped accordingly for shift actuation. In the next step, .a2l and .cod files are generated, which are flashed onto rapid prototyping hardware from ETAS using INCA. The same is used to actuate shift solenoids of transmission to change the gear. Use of rapid prototyping hardware has significantly reduced the number of iterations required for integrating software with ECU from specific supplier, thus reducing overall development time. Final vehicle level calibration is done using INCA, followed by validation process to ensure optimal performance.
Patel, HiralThambala, PrashanthTongaonkar, YogeshMosthaf, JoergMalpure, Khushal
The clutch is a mechanical device that connects and disconnects engine power to the drivetrain through the clutch disc and cover assemblies. The disc, with friction material linings is mounted on the transmission shaft, transmits power when clamped between the flywheel and cover assembly. During operation, wear occurs due to speed differences and slippage between the engine and transmission. Clutch performance is evaluated under repeat restart conditions on steep gradients to assess thermal durability and reliability in commercial vehicles. The repeat restart test on a 12% gradient replicates truck launches under full load, where excessive slippage generates heat that may lead to friction material wear or failure if critical temperature limits are exceeded. To address the high cost and time of physical testing, a 1D thermal simulation was developed using GT Suite. The model replicates 90 repeat vehicle launches on a 12% gradient in first gear, integrating driver inputs and drive cycles to predict clutch housing air temperatures. The simulation shows a 95% correlation with test data, validating its accuracy and reliability. This virtual approach enables early-stage design validation and optimization of parameters influencing heat generation and thermal degradation, minimizing dependence on physical trials and reducing development time. Applied to heavy commercial vehicles, this methodology supports design of experiments for drivetrain parameter analysis, guiding optimal configurations that minimize thermal stress. The adoption of GT Suite as a digital validation tool improves product development efficiency, lowers warranty costs, and enhances product quality. It provides a strategic advantage in competitive markets through faster, data-driven decision-making and enables more reliable and robust clutch design in early development stages.
Munisamy, SathishkumarChollangi, DamodarMane, Sudhir
Engine braking is a deceleration technique that leverages the internal friction and pumping losses within the engine. By closing the throttle and potentially selecting a lower gear, the engine creates a retarding force that slows the vehicle. This practice contributes to better fuel economy, decreased brake system load, and improved vehicle handling in specific driving scenarios, such as steep declines or slippery road surfaces. To alleviate stress on their primary braking systems and prevent overheating, heavy vehicles frequently incorporate engine-based braking. While older trucks relied on simple exhaust brakes with a butterfly valve to restrict exhaust flow, these had limited impact. Hence contemporary heavy vehicles almost exclusively use more advanced engine braking technologies. Traditionally, our heavy-duty vehicles use Exhaust brake system to elevate the braking performance on hilly terrains. Hence an improved sample of Engine brake was developed for enhanced braking performance. A study to map the performance of Engine braking at different field conditions was conducted at Chassis Dynamometer Lab on M&HCV Tipper Vehicle model. Conditions are: a) Different speeds/gears. b) Different gradients. Vehicle fitted with improved sample of Exhaust brake is tested on Chassis dyno for its performance. Braking power derived & plotted at various Engine speeds and compared with the performance results of existing Engine brake sample. Iterations carried out using various gears at different levels of gradient to simulate real world performance of Engine braking and tested the capabilities of the brake sample to the extreme levels of over speeding engine revolutions. The results obtained from this exercise fortified in evaluating and optimizing the improved sample of exhaust brake and it in turn aided in better performance of the vehicle on road.
M, Vipin PrakashRajappan, Dinesh KumarR, SureshN, Gopi Kannan
During vehicle launches in 1st gear, a lateral shake (undulation) and a pronounced metallic hitting noise were observed in the underbody. The noise was identified as the propeller shaft's second universal joint (UJ) yoke striking the fuel tank mounting bracket. Sensitivity to these issues varied with acceleration inputs: light pedal input during a normal 1st gear launch on a flat road resulted in minimal undulation, whereas wide open throttle (WOT) conditions in 1st gear produced significant lateral shake and intensified hitting noise. Further investigation revealed that the problem persists across all gears and occurs consistently during normal driving conditions, with continuous impact between the propeller shaft yoke and the fuel tank mounting bracket. Extensive experimental measurements at the vehicle level indicated that these issues were primarily caused by the center-mounted propeller shaft joint deviating from its central position and rotating eccentrically under torque. This eccentric movement was linked to the improper propeller shaft split ratio and shorter fitting length. A detailed design study combined with vehicle-level experiments (Design of Experiments, DOE) confirmed that these factors significantly contribute to the positional shift of the second UJ connection and its resulting eccentric behavior. This study provides a comprehensive approach to addressing the issue, focusing on reducing vibrations transmitted to the floor and seats and give NVH refinement through the propeller design optimization. By doing so, it ensures improved vehicle performance without compromising other critical parameters.
Sanjay, LS, ManickarajaKumar, SarveshKanagaraj, PothirajSenthil Raja, TB, Prem PrabhakarM, Kiran
Gear noise is a common challenge that all gear manufacturers must contend with. In tractors, while it is often sufficiently low in intensity to not pose a significant issue, there are instances where gear whine may occur which is noticeable. In such cases, identifying the source and effectively addressing the problem can prove to be particularly difficult. This paper addresses the root cause analysis carried out for the evaluation of factors influencing whine noise behavior of Spiral bevel gear pair (SO2) in a tractor transmission system. Numerous publications have been published on gear noise of spiral bevel gear pair, too many to list here. However, once the gearbox assembled into the transmission, such models are of limited practical value. The work explained in this paper is a typical example offers avenues in correcting the issue using more limited means.
P, BharathP, PriyadarshanJanarthanan, Devakumara RajaChavan, Amit
A fatigue failure in the transmission input shaft was identified during a bench-level endurance test under 2nd gear loading conditions. The test transmission’s input shaft comprises fixed 1st, reverse, and 2nd gears, with the remaining gears mounted as floating. The shaft was subjected to cyclic torsional loads, and failure occurred after a defined number of cycles. Metallurgical analysis revealed a brittle fracture surface with crack initiation at the outer surface, propagating to core in a helical pattern, ultimately resulting in complete shaft fracture. To monitor and replicate the failure, the test setup was instrumented with a Reilhofer Delta Analyzer for early fault detection. TTL signals from accelerometers mounted on the transmission and a bench speed sensor were fed into the system, which generates FFT spectra and trend indices. A warning alarm triggered upon deviation in the trend index, indicating premature damage initiation. The test was subsequently halted for component inspection, revealing tool serration marks and initial hairline cracks near the 2nd gear location. Order analysis confirmed the dominance of the 2nd gear order and its harmonics. Additionally, the trend index energy was six times higher than baseline levels, indicating abnormal mechanical behavior. Finite element simulations were conducted on models with and without tool serration marks on the input shaft. The results showed significantly elevated stress concentration and shear stress in the failure zone for shafts with tool marks, whereas smooth shafts exhibited no severe stress concentrations. The input shaft was re-machined to eliminate tooling marks, and subsequent testing showed no abnormal trend index variation, confirming alignment with simulation predictions. This paper outlines the root cause analysis, simulation correlation, and mitigation strategy to prevent fatigue failure in rotating transmission components under cyclic loads. The methodology is scalable to similar components operating under dynamic loading environments.
Kushwaha, RakeshPatel, HiralNavale, Pradeep
Bogie frame is a main skeleton and structural member in railway system which is carrying all the loads such as Suspensions, Axles, wheels, car body, Motor, Gear box etc. The frame is subjected an exceptional and service stresses in Vertical, Longitudinal, Lateral and twist directions throughout the service life which should be withstand for a life span of 30 years without failure. The purpose of this project is to determine the Structural integrity of the Metro rail bogie frame in consideration with EN13749 standard. This paper is the outcome of bench testing of metro rail bogie frame with the application of multiaxial loading in static and dynamic campaign through which stress data is collected with strain gauge sensors and correlated with the FEA results at initial design phase. This helps to verify and evaluate the design and validate the quality of metro rail frame as per the requirement specified in EN13749:2021 European standard in early design stages.
Tormal, Uday BapuraoSinnarkar, NitinShinde, Vikram
The advancement of electric vehicle (EV) transmission systems is currently a prominent trend aimed at decreasing carbon emissions and providing eco-friendly transportation alternatives. Most of the EV transmissions are single speed, but research conducted on multi speed EV transmissions show higher efficiency, good performance, high speed and torque demand when compared with single speed counterparts. Most of the multi speed EV transmissions that are developed are of non-synchromesh type, which have direct effect on NVH, driving dynamics and durability of drivetrain components. Due to aforementioned factors, gearshift analysis becomes critical for development. Simulation model is developed at early development phase for initial feedback. Using the feedback, drivetrain can be optimized furthermore and test on physical parts can be conducted for final verification. This paper provides a simulation based approach for modelling non-synchromesh two speed EV transmission using Simulation X. The model consists complete vehicle from prime mover, gear box to wheels. Non-synchromesh gearboxes lack synchronizers, which are essential for matching the speeds of the input and output shafts during a gear change, the model is capable of 3D visualization of gear synchro ring and shifter sleeve teeth during gear shift event, which is vital to observe any gear crashing phenomenon during gear shift event and will compute parameters such as forces acting on synchro pack, synchronization time and jerk on vehicle during engagement. Additionally, this paper gives details of bench test setup for gearshift quality tuning and system level validation with vehicle controller. Simulation results show good correlation with bench level data and serve as vital feedback for initial gearshift quality assessment. Multiple iterations can be carried out on simulation model by changing design parameters of synchro pack and speed difference between input and output shafts to observe the effect on gear shift quality and validated on final prototypes.
Kansagara, SmitThambala, PrashanthSutar, SureshTodtermuschke, KarstenPatel, Hiral
In heavy-duty tippers, where challenging conditions demand high torque, planet carriers play a crucial role by enabling efficient load distribution and torque transmission while supporting gear ratio and speed variation in space-constrained systems such as automatic transmissions, hybrid drivetrains, and electric vehicles. This paper focuses on the comprehensive durability performance assessment of planet carrier housing (PCH) using duty cycles derived from road load data acquisition (RLDA) measurements for a heavy-duty tipper gearbox development program. The existing Design Validation Plan (DVP) for the planet carrier considers first gear utilization of 10-15% at 40% vehicle overload, in line with historical data. However, recent trends in mining applications revealed vehicle overloads of 55-65%, leading to an increase in first gear utilization (25-35%). This shift presents challenges for original equipment manufacturer (OEM) to enhance design durability while incorporating additional safety margins to meet the demands of a competitive, cost-driven market. To address this discrepancy, road load data was collected on a heavy-duty tipper with 65% abusive overloads. Torque telemetry on the propeller shaft captured RLDA data, which was processed to generate a torque profile for the planet carrier. This profile was then used to define the duty cycle via torque rainflow matrices across various gear conditions. The data revealed a 35% first gear utilization, prompting a revision of the existing DVP using this field-reflective data. Using revised DVP, a comprehensive durability assessment of the planet carrier was conducted, considering the torque rainflow matrices for all gear operating conditions. The fatigue assessment included the effect of induction hardening using a boundary layer approach in the commercial fatigue solver FEMFAT. Critical locations in the planet carrier were identified and addressed through suitable design modifications to meet the fatigue damage targets of the revised DVP. The final prototype design was validated through physical testing, showing no failures and aligning well with simulation predictions.
Bagane, ShivrajPendse, Ameya
As the electric mobility landscape evolves, there is a growing emphasis on addressing the Noise, Vibration, and Harshness (NVH) challenges associated with electric drivetrains. The absence of an IC engine in EVs shifts the focus to other noise contributors such as gear meshing, electric machine operation, and structural vibrations. Despite the known influence of micro-geometry on gear dynamics, current optimization practices often rely on empirical adjustments or standard guidelines without fully utilizing advanced computational methods to predict and optimize NVH performance. There exists a pressing need for a systematic approach to analyze and optimize gear micro-geometry to reduce noise and vibration in high-speed e-axle applications. This research aims to bridge that gap by investigating the relationship between micro-geometry optimization and NVH characteristics of an e-axle. Through detailed modelling and optimization techniques, this research aims to identify optimal gear micro-geometry parameters that minimize transmission error and reduces noise from an e-axle. In this paper, transmission error (TE) is calculated for four different load cases based on motor’s torque-characteristic curve. Then, equivalent radiated power (ERP) is calculated at these load cases to determine major source of excitation and then acoustic analysis is done without micro-geometry optimization (MGO) to record the sound pressure level. After this, gears micro geometries are optimized and same process is repeated to measure the optimized sound pressure level. It is seen that after micro-geometry optimization, sound pressure level corresponding to first harmonic of 1st gear pair decreased by approximately 30%, 20%, 23% and 21% for load cases 1, 2, 3 and 4 respectively and the sound pressure level for same loads corresponding to first harmonic of second gear pair has decreased approximately by 58%, 36%, 23% and 20% respectively. It is also observed that sound pressure level of electric motor remains unaffected by gear micro-geometry optimization. Thus the research shows that noise and vibrations can be reduced by optimizing the micro-geometry parameters using computational tools and by optimizing the noise levels at the initial design stages we can avoid design changes and project delays at the later stages of project.
Ankit, PriyadarshiKulkarni, KrishnaMomin, Vaseem
In response to the significant environmental challenges posed by climate change driven by global warming, the automotive industry is accelerating the transition toward electrification. While electric vehicles offer considerable potential for mitigating CO₂ emissions, their elevated upfront costs pose a notable challenge to large-scale market penetration. Energy efficiency improvement of electric vehicles is emerging field of research to reduce total cost of ownership. Electric vehicle powertrain component selection in small commercial vehicles including three and four wheelers is a complex process which has to fulfil multiple requirements which includes range, performance, drivability, packaging, total cost of ownership of vehicle and comfort. In addition, powertrain configuration including battery, motor and transmission ratio selection plays a fundamental role in cost of electric vehicle. Hence, The task of selecting the right powertrain configuration, encompassing architecture, motor selection, and gear ratio, is a critical challenge in optimizing overall vehicle performance while addressing the constraints and objectives of conventional vehicles. This study focuses on benefits of two speed transmission ratio for small commercial electric vehicle segment. The automotive market in India is analysed and the small commercial vehicle segment selected to define powertrain configuration. "The principle is grounded in the requirements for vehicle performance, design, cost, and efficiency, each of which must be carefully balanced to achieve optimal outcomes. The simulation are done to estimate motor torque/power requirements & overall gear ratios meeting the vehicle target and constraints. Based on the analysis, a comparative matrix consisting of various parameters for small commercial vehicle (SCV) application is established. The analysed results and established comparative matrix conclude that: 1 Small commercial vehicles necessitate an E-Drive system with high torque capability at low speeds, requiring deeper gear ratios, a lower maximum system speed, and overall reduced costs. For equivalent power ratings, motors with higher peak torque tend to be more expensive than those used in passenger vehicles, which typically employ motors with lower peak torque. 2 Two speed transmission, first gear increases gradeability performance by more than 40% with same motor and second gear allows motor to work in higher efficiency zone results up to 5% EV Range improvement 3 This approach allows to reduce the peak motor power/torque by 20-30% due to 2 speed gearbox, this is huge cost reduction solution with modularity. 4 The two-speed gearbox helps the motor operate more efficiently, which slightly reduces the electrical power needed from the battery. This leads to lower average battery current and less heating, which can improve battery life and reliability. As a result, it may reduce the need for extra warranty coverage on the battery, which is one of the most expensive parts of an electric vehicle. Considering the significant volume of the electric three-wheeler (e3W) market, it would be prudent for OEMs to explore the adoption of a two-speed automatic gearbox as a standard offering for light commercial vehicles (LCVs), especially if they have previously overlooked this rapidly growing sector.
Wani, KalpeshJadhav, VaibhavShendge, RamanWarule, Prasad
Vehicles powered by internal combustion engines play a crucial role in urban mobility and still represent the vast majority of vehicles produced. However, these vehicles significantly contribute to pollutant emissions and fossil fuel consumption. In response to this challenge, various technologies and strategies have been developed to reduce emissions and enhance vehicle efficiency. This paper presents the development of a solution based on optimized gear-shifting strategies aimed at minimizing fuel consumption and emissions in vehicles powered exclusively by internal combustion engines. To achieve this, a longitudinal vehicle dynamics model was developed using the MATLAB/Simulink platform. This model incorporates an engine combustion simulation based on the Advisor (Advanced Vehicle Simulator) tool, which estimates fuel consumption and emissions while considering catalyst efficiency under transient engine conditions. Based on these models, an optimization method was employed to determine the optimal gear-shifting strategy, enabling the analysis of vehicle performance, fuel consumption, and emissions over a driving cycle under different gear-shifting configurations.
Da Silva, Vitor Henrique GomesCarvalho, Áquila ChagasLopez, Gustavo Adolfo GonzalesCasarin, Felipe Eduardo MayerDedini, Franco GiuseppeEckert, Jony Javorski
Transmission systems play a crucial role in vehicle performance, efficiency, and adaptability. Conventional transmissions, such as Continuously Variable Transmissions (CVTs) and Manual Transmissions (MTs), each offer distinct advantages—CVTs provide smooth gear transitions and optimized fuel efficiency, whereas MTs deliver superior driver control, mechanical simplicity, durability, and high torque efficiency. This study explores the feasibility of integrating a dual-mode CVT-MT transmission into passenger vehicles to enhance driving dynamics and fuel efficiency. The proposed system uses the first gear to improve initial acceleration, a critical factor in urban driving, stop-and-go traffic, and high-load scenarios where CVTs struggle with torque delivery. After launch, the drivetrain transitions into CVT mode, leveraging its continuously adjustable gear ratios for efficiency and smooth power delivery. A simulation model based on MATLAB / Simulink will analyze the performance of the hybrid system against a conventional CVT, evaluating power efficiency, fuel consumption, mechanical reliability and driving experience. To ensure accuracy, data validation will compare simulation results with real vehicle data, refining parameters and improving analysis fidelity. By addressing the limitations of traditional transmissions, this research evaluates whether a CVT-MT hybrid can enhance acceleration, fuel economy, and the longevity of the drivetrain. If effective, this concept could influence future transmission designs, balancing performance and efficiency for everyday driving.
Baldi, EduardoLopes, Matheus Carlos Sinobio Elias DRodrigues, Gustavo Simão
(TC)The paper presents a designed and evaluated optimal traction control (TC) strategy for unmanned agriculture vehicle, where onboard sensors acquire various real-time information about wheel speed, load sharing, and terrain characteristics to achieve the precise control of the powertrain by establishing an optimal control command; moreover, the developed AMT-adaptive SMC combines the AMT adaptive control algorithm and the SMC to implement the dynamic gear shifting, torque output, and driving mode switching to obtain an optimal power distribution according to different speed demand and harvest load. Based on the establishment of models of the autonomous agriculture vehicle and corresponding tire model, a MATLAB/Simulink method based on dynamic simulation is adopted to simulate the unmanned agricultural vehicle traversing different terrains conditions. The results from comparison show that the energy saving reaches 19.0%, rising from 2. 1 kWh/km to 1. 7 kWh/km, an increase in gradeability from 22°to 30°and improvement of soil navigation tracking accuracy about 66. 7%, that is, from ±15 cm to ±5 cm.
Feng, ZhenghaoLu, YunfanGao, DuanAn, YiZhou, Chuanbo
Puddling is a crucial process in rice cultivation, involving the preparation of the soil in a flooded field to create a soft, muddy seedbed. There are two classifications for puddling: full cage and half cage. Full cage puddling involves replacing the rear wheels of the tractor with steel paddle wheels, which are used to till the rice paddies directly without any additional implement. In the half cage puddling, the rear wheels remain on the tractor, and a smaller cage or paddle wheel is attached to the outside. Considering the field size, the operator often releases the clutch very quickly after a speed or direction change. This generates torque spikes, which are harmful to Transmission Gears and Clutches. This can lead to gear teeth bending fatigue failure due to repeated higher bending stresses. In this paper, a study related to how to reduce overall product development time by simulating bending fatigue failure of gear in lab environment is presented. A systematic approach is used to understand the field application, data acquisition, Data analysis, new test stand development and replication of failure mode in lab environment. This approach resulted in significant time savings. Multiple design iterations with minimal variation can be executed. This eliminates dependency on field, environmental conditions, and different variabilities. Finally, it supports timely decision-making based on the outcomes.
Pathan, Irfan HamidullaBardia, Prashant
Automotive manufacturers are constantly striving to enhance the performance and comfort of vehicles, particularly in terms of acceleration and driving experience which is a perceived behavior. The gear shift procedure plays a significant role in this aspect. Frequent actuation of clutch and throttle for gear shift in a manual gear shift transmission is one of the causes for human fatigue while driving, especially in 2-wheelers. The speed reduction during gear shift also leads to lower acceleration timing. With advancements in technology and a growing emphasis on comfortable driving experiences, clutch-less gear shift in a geared vehicle is one of the most sought-after features. Automatic transmissions are often expensive and increases system complexity, making them less accessible in particular for 2-wheeler market. Therefore, there is a need for developing a cost-effective and affordable solution to address this problem statement. The current work presents a simplified software-based solution that allows riders to shift gears effortlessly, without the need of clutch or throttle modulations. This not only reduces the amount of effort and fatigue experienced by the rider, but also improves acceleration timings. The difference in vehicle’s drivability as compared to system with dedicated shift assist sensor is not perceived by a general rider. The system utilizes existing sensors such as engine speed, vehicle speed, throttle or accelerator pedal, gear position, and clutch position sensors. Based on the signals received from these sensors, the engine management system detects the rider’s intent to shift gears without throttle or clutch actuation, modifies the engine torque, and allows for smooth gear shift when the gear lever is pressed. The torque change is realized through a change in ignition, air, fuel, or any combination of them. Since no additional hardware is required, this cost-effective feature can be implemented in a wide range of two-wheelers from cost sensitive commuter vehicles to high-performance applications.
Jois, Dinkar
In heavy-duty Battery Electric Commercial Vehicles, developing multi-speed transmissions with smaller traction motors is crucial for achieving necessary gradeability and improving operational efficiency. However, understanding the shifting process in electric vehicles, which lack physical clutches to disengage the transmission from the traction motor during gear shifts, presents a unique challenge. Traditional methods for estimating shift forces are not applicable, creating a new challenge for the industry. The rise of electric vehicles offers opportunities to optimize various aspects of mechanical powertrains, particularly through designing compact shift systems with smaller actuators for automated gear shifting. During gear shifts, the goal is to optimize the required shift force to match the load capacity of a smaller actuator, as failure to do so may result in unsuccessful shifts. This paper evaluates and proposes a methodology for estimating the required shift force in an automated multi-speed transmission for an electric vehicle. By formulating a mathematical transfer function, the worst-case scenario resulting in the highest resistance from the base box is analyzed. The validity of this methodology is confirmed through quantitative vehicle-level testing on existing transmissions, showing an estimated shift force of 685.37 N with an error of 1.452%. The variables with the highest sensitivity are investigated. Latin Hypercube sampling is used to optimize these sensitive variables. The study aims to enhance shift quality, which depends on both the shift force and the time taken to complete a shift, ultimately leading to increased efficiency and driver comfort.
Sharma, Saurabh
Designing the gear shift control for an automotive transmission is a complex task because it involves handling nonlinear behaviors like changes in friction between clutch plates and fluctuations in oil temperature. While deep reinforcement learning (DRL) has recently been used to reduce shift shock, most existing methods don’t account for real-world changes such as transmission aging. One major issue that becomes worse with aging is clutch judder—a type of vibration caused by wear. Traditional reinforcement learning assumes that the environment stays the same, which can lead to unstable learning when conditions change, making it hard to consistently reduce shift shock. To address this, we propose a new algorithm that adapts to aging transmissions by adjusting the discount factor—a key parameter in reinforcement learning that balances short-term and long-term rewards. Instead of keeping this factor fixed, our method starts with a lower value to ensure stable learning and gradually increases it to improve long-term performance. We use the loss function, which reflects how well the model is learning, as a signal to control the discount factor using a PID controller. To make tuning easier, we apply a model matching approach to set the PID parameters. Simulation results show that this method not only reduces shift shock more effectively but also keeps the learning process more stable compared to traditional fixed-discount approaches.
Ogawa, KazukiAihara, TatsuhitoGoto, TakeruMinorikawa, Gaku
The performance of electric machines for automotive applications is characterised by a high transient torque capability for low speed tractability and a large speed range of high energy conversion efficiency to achieve a desirable vehicle range. Inevitably, these conflicting requirements will introduce a compromise in the design process of electric machines and drives, generally resulting in heavier machines and overrated drive specifications. This paper discusses the principles of reconfigurable windings, explaining how altering winding connections directly influences key machine parameters like flux linkage, inductance, and resistance. It details the necessary switchgear for series-parallel winding reconfiguration, highlighting potential advantages such as enhanced fault tolerance and emergency braking capabilities. A prototype in-wheel motor with series-parallel reconfigurable windings, developed as part of the EM-TECH Horizon Europe project, is presented. Simulation results using the Artemis MW130 driving cycle demonstrate that an efficiency-optimized gear shifting strategy can achieve a 1.57% reduction in energy consumption and a speed range extension greater than 50% compared to a fixed winding configuration. This highlights the potential of reconfigurable windings to improve the range of Battery Electric and Hybrid Electric Vehicles (BEVs/HEVs) by reducing drive cycle losses across various speed regions.
Best, JoshuaNoori Asiabar, AriaWang, BoHerzog, MaticTrinchuk, DanyloRomih, JakaVagg, Christopher
Gears are essential components in industrial machinery, and their design needs to be optimized to ensure the proper functioning of mechanical systems across various industrial applications. In this study, an optimization approach is proposed to determine the optimal design of a spur gear. This approach is based on an improved Jaya algorithm, which features a straightforward formulation without any algorithm-specific control parameters. Utilizing a simple and parameter-free updating mechanism, the strength of this algorithm lies in its iterative ability to enhance candidate solutions by moving them toward the best solution while avoiding the worst one, providing a flexible framework for optimization. However, since the original Jaya algorithm was primarily designed for continuous optimization problems, this research incorporates adjustments to adapt it effectively for mixed-variable optimization problems and to manage multi-objective functions. The effectiveness of the proposed algorithm is evaluated through examples of constrained problems taken from previous research and case studies on spur gear design, which were refined in this study. The optimum solutions obtained using the improved Jaya are compared with other metaheuristic optimization algorithms. Results exhibit promising results regarding objective function value, solution robustness, and statistical results.
Rezki, InesFerhat, DjeddouHamouda, AbdelatifAbderazek, Hammoudi
The acoustic performance of seven vehicles was evaluated according to Canadian Motor Vehicle Safety Standard 141 (CMVSS 141), which governs minimum required sound levels for hybrid and electric vehicles with a gross vehicle weight rating (GVWR) of 4536 kg (10,000 lb) or less. To better understand the sound profiles of medium-duty electric vehicles (MDEVs) and heavy-duty electric vehicles (HDEVs), the sound emissions of two light-duty electric vehicles (LDEVs), one MDEV, three HDEVs, including an electric transit bus, and one heavy-duty internal combustion engine (HD ICE) vehicle were compared. The sound emissions of the MDEV and HDEVs were quieter than the HD ICE vehicle and comparable to that of the LDEVs equipped with auxiliary speakers. The MDEV with its auxiliary speaker turned off and all three HDEVs without auxiliary speakers met CMVSS 141 requirements in reverse gear and at speeds of 20 km/h and 30 km/h. The MDEV, though not subject to CMVSS 141, failed to meet the minimum sound requirement at stationary when its auxiliary speaker was deactivated. Similarly, the electric transit bus did not meet sound requirements at stationary and 10 km/h, highlighting the potential of acoustic vehicle alert systems (AVAS) in enhancing the detectability of quiet vehicles.
Sharma, VinayLarocque-Legros, Marc-AndréWeston, ColeSchulte, AndrewChristenson, MarthaRooney, Anne
Grade climbing capacity establishes a vehicle's distinguishing attribute of handling uneven roads and terrains thereby enhancing its overall performance capability. Vehicle availability and the testing procedure to determine gradeability requires a lot of time and effort. Aiming for the prediction of maximum start-stop gradeability of a vehicle and reducing the testing time and resources, a methodology is established representing the test procedure. A vehicle model is developed in GT Suite having dedicated modules of engine, clutch, transmission, vehicle and a driver. The vehicle is having weight of 2999 kg and a 1499 cc of engine with 80 hp power and 210 Nm torque. In simulation, the driver targeted the engine's launching speed profile, which progressively engaged the clutch to prevent engine stalling. The target is to ascend a specified distance in a predetermined amount of time without stalling the engine. Upon reaching the maximum grade the vehicle can climb, the engine will not be able to provide enough torque to maintain required acceleration, resulting in the engine stalling. This process is repeated with different vehicle parameters for validation. The simulated results indicated the gradeability of 15.1° as compared to the measured gradeability of 15.0° on the same vehicle and intended loading configuration. This strong co-relation with delta < 1% established the confidence to explore gradeability potential with further combinations of engine torque, gear ratio, clutch and transmission. This paper explains in detail how clutch modulation time plays an important role to explore the gradeability potential further.
Ramadandi, PadmavathiBose, AnshumanSirangu, SatishYeldo, JabinEdgar, ShawnSalve, SiddheshKaushik, Prince
This paper, explores the design and sizing of a planetary gear-based electronic continuously variable transmission (ECVT) for implementation of a parallel gas-electric hybrid helicopter propulsion system. The ECVT consists of a differential planetary gear transmission (PGT) and an electric motor/generator (MG) unit. The ECVT enables power-flow between engine, motor and helicopter main rotor. The parallel arrangement enables the main rotor speed to varied continuously based on the MG speed while the engine speed can remain constant. The performance benefits enabled by the main rotor speed variation capability are offset by the added weight penalties introduced by the ECVT system. By considering factors such a as gear tooth bending and contact stress, bearing loads, required motor torque, planetary gear kinematics and pitch-line velocity constraints, this paper conducts a minimum mass design study for several PGT / ECVT arrangements. Here, three different single stage PGT/ECVT arrangements are compared along with an improved two stage ECVT. The three single stage ECVT configurations can be summarized as; I) Sun-Engine / Carrier-Motor / Ring-Out, II) Sun-Engine / Ring-Motor / Carrier-Out, and III) Carrier-Engine / Sun-Motor / Ring-Out. Of these three types, it was found that type III was significantly lighter in weight compared with types I and II since type III would have the highest relative motor speed. When sized for a 3000 Hp engine-side power input at 6000 rpm, the minimum mass design for type III was on the order of 100 lbs compared to 400 lbs and 700 lbs respectively for types I and II. Despite the seemingly obvious advantage of design type III, it's drawback is that it is effectively a speed increasing stage with respect to the engine. To address this, a two-stage ECVT with compound planetary arrangement of Type III and II was designed which achieved an overall minimum weight of 219 lbs at the 3000 Hp level while providing 1:0.351 gear reduction form engine to output. The analysis tools developed and sizing results flowing from this study will provide a baseline for evaluating performance benefits and weight penalties introduced by parallel hybrid drive-systems for rotorcraft applications.
DeSmidt, HansAi, Zhisheng
Gear whine has emerged as a significant challenge for electric vehicles (EVs) in the absence of engine masking noise. The demand from customers for premium EVs with high speed and high torque density introduces additional NVH risks. Conventional gear design strategies to reduce the pitch-line velocity and increase contact ratio may impact EV torque capacitor or its efficiency. Furthermore, microgeometry optimization has limited design space to reduce gear noise over a wide range of torque loads. This paper presents a comprehensive investigation into the optimization of transfer gear blanks in a single-speed two-stage FDW electric drive unit (EDU) with the objective of reducing both mass and noise. A detailed multi-body dynamics (MBD) model is constructed for the entire EDU system using a finite-element-based time-domain solver. This investigation focuses on the analysis and optimization of asymmetric gear blank design features with three-slot patterns. A design-of-experiment (DOE) methodology is employed to identify pivotal gear blank design parameters, including the blank thickness and slot angle. The radiated sound power and mount vibration responses from the EDU are predicted and correlated with test data. The time-varying stiffness at the meshing point gives rise to sidebands around the transfer gear orders, which are accurately captured using the MBD time-domain solver. The asymmetric gear blank stiffness changes the torsional vibration transfer path, necessitating microgeometry re-optimization to fully capture the NVH benefits. A case study is conducted based on the Ultium EDU, focusing on transfer gear blank design. It is demonstrated that a selected three-slotted gear blank design, in conjunction with optimized microgeometry, results in reduced mass and up to 10 dB lower gear noise for the electric drive unit system.
He, SongBahk, CheonjaeLi, BoDu, IsaacPatruni, Pavan KumarBaladhandapani, Dhanasekar
In addition to providing safety advantages, sound and vibration are being utilized to enhance the driver experience in Battery Electric Vehicles (BEVs). There's growing interest and investment in using both interior and exterior sounds for pedestrian safety, driver awareness, and unique brand recognition. Several automakers are also using audio to simulate virtual gear shifting of automatic and manual transmissions in BEVs. According to several automotive industry articles and market research, the audio enhancements alone, without the vibration that drivers are accustomed to when operating combustion engine vehicles, are not sufficient to meet the engagement, excitement, and emotion that driving enthusiasts expect. In this paper, we introduce the use of new automotive, high-force, compact, light-weight circular force generators for providing the vibration element that is lacking in BEVs. The technology was developed originally for vibration reduction/control in aerospace applications, has been recently tested in various vehicles, and demonstrates the effectiveness for providing a real haptic feel across the entire vehicle. Shaking the vehicle globally provides a unique capability for BEVs, including Hybrid Electric Vehicles and for helping to create a smooth transition between Gas and Electric power, for example. The technology can be used to generate and emulate high-performance, high power, combustion engine feel, including idle, engine run-up/acceleration, simulated gear shifts, and Advanced Driving Assistance and Systems (ADAS) haptic indicators. The optional and customizable vibration can also mask road vibration which becomes very noticeable in otherwise smooth BEVs and can provide the perfect supplement to existing audio enhancements and gear shifting features. Additionally, the paper describes how the force generating device can be packaged in a light weight, compact, low-power manner. The technology will be compared to other force generating methods, and discuss its pros and cons.
Norris, Mark A.Orzechowski, JeffreySanderson, BradSwanson, DouglasVantimmeren, Andrew
The active sound synthesis system of electric vehicles plays an important role in improving the sound perception and transmission of working condition information inside the vehicle. Nowadays, the active sound synthesis system inside the vehicle has become standard equipment in electric vehicles of major electric vehicle manufacturers to meet the user groups' demand for driving and riding experience. In order to enrich the driving experience of electric vehicles and automatic transmission vehicles, the sound performance should be close to the immersiveness and dynamic feedback brought by traditional manual transmission fuel vehicles. Based on the active sound synthesis algorithm in the car, this paper proposes an adaptive shift sound quality control strategy suitable for complex and changeable working conditions, with the aim of simulating the real shift sound of the engine. First, the motor speed offset is accurately calculated based on the transmission ratio of each gear of the gearbox, and then fitted with the real-time motor speed to generate a highly simulated virtual speed for the sound synthesis algorithm. Secondly, linear interpolation is used to optimize the speed connection between complex and variable working conditions to ensure smooth transition of sound waves between multiple working conditions; Then, in order to improve the accuracy of system response, a constant compensation factor is introduced so that the virtual speed can sensitively follow the fluctuation of the actual motor speed, thereby achieving constant consistency of the gear shifting sound effect; Finally, the CAN signal of the actual vehicle driving condition is used as input to synthesize the shifting sound based on simulation. The conclusion shows that the shifting sound quality control strategy is suitable for multiple working conditions of electric vehicles, and can accurately and effectively simulate the acceleration sound of fuel vehicles with shifting, thus improving user experience and comfort.
Zhou, XilongLiu, ZhienXie, LipingYu, ShangboLu, ChihuaGao, XiangYongsheng, Wang
The two-wheeler industry features a diverse range of transmission systems catering to varied riding preferences and market demands. Manual transmissions offer direct gear control, favored by enthusiasts for its precision and customizable performance. Automatic transmissions simplify riding, especially in urban settings, eliminating manual gear shifts and reducing rider fatigue. Understanding the dynamics of transmission systems in the two-wheeler space is crucial for manufacturers, engineers, policymakers, and riders alike. It informs product development, regulatory compliance efforts, and market positioning initiatives in an increasingly competitive and innovation-driven industry landscape. DCT (Dual Clutch Transmission) and manual transmissions represent extremes in rider engagement, automation, and cost. While DCT offers seamless gear changes and convenience at a higher price point, manual transmissions provide direct control and a tactile experience with lower initial costs. Riders weigh these factors when choosing between technological innovation and traditional engagement. Between these two extremes, certain transmissions systems provide manual gear selection with automatic clutch operation, appealing to riders seeking control without the complexities of manual clutch manipulation like the E-Clutch. Continuously Variable Transmission (CVT) systems represent a notable innovation, offering seamless gear ratio adjustments and optimized engine output across riding conditions, enhancing ride quality and rider comfort, particularly in urban environments and have gained a lot of traction in the past decade. Each transmission system presents distinct advantages and challenges, influencing rider preferences and manufacturer strategies. Understanding the dynamics of transmission systems in the two-wheeler space is crucial for manufacturers, engineers, policymakers, and riders alike. It informs product development, regulatory compliance efforts, and market positioning initiatives in an increasingly competitive and innovation-driven industry landscape. The introduction of Semi-Automated Manual Transmission (SMT) stands as a bridge, blending the precision of automated gear shifts with the visceral engagement of manual control. SMT enables clutch less gear shifts, providing riders with a unique synthesis of technological innovation and the hands-on experience enthusiasts cherish. Beyond preserving the art of manual transmission, SMT addresses challenges associated with manual gear changes, mitigating issues like gear grinding and missed shifts. Positioned at the intersection of automated efficiency and the enduring appeal of manual engagement, SMT represents a blend of conventional mechanics and modern-day power electronics.
Kundu, Prantik
Electric trucks, due to their weight and payload, need a different layout than passenger electric vehicles (EVs). They require multiple motors or multi-speed transmissions, unlike passenger EVs that often use one motor or a single-speed transmission. This involves determining motor size, number of motors, gears, and gear ratios, complicated by the powertrain system’s nonlinearity. The paper proposes using a stochastic active learning approach (Bayesian optimization) to configure the motors and transmissions for optimal efficiency and performance. Backwards simulation is applied to determine the energy consumption and performance of the vehicle for a rapid simulation of different powertrain configurations. Bayesian optimization, was used to select the electric drive unit (EDU) design candidates for two driving scenarios, combined with a local optimization (dynamic programming) for torque split. By optimizing the electric motor and transmission gears, it is possible to reduce energy consumption while also improving vehicle performance. Considering the cost implications, it is shown that a two-speed transmission would be sufficient for a 7.5 t medium-duty electric truck.
Chen, BichengWellmann, ChristophXia, FeihongSavelsberg, ReneAndert, JakobPischinger, Stefan
A new hybrid power system was investigated by installing a motor on the axle of a conventional semi-trailer. The purpose is to reduce the fluctuation of longitudinal acceleration and improve driving comfort by filling the transmission output torque hole through the motor during the gear shift process. Models for the longitudinal motion of a commercial vehicle, the permanent magnet synchronous motor, and the motor power distribution method are established, and the system model is built using MATLAB/Simulink. The model-in-the-loop simulation control interface is created in ModelBase, and model-in-the-loop simulation under the full-throttle (WOT) and braking operating conditions is performed based on ModelBase. Due to the high-frequency jitter problem in the actual control of the motor, the torque output obtained from different control algorithms is investigated. Finally, the sliding mode control algorithm with perturbation observation is used to ensure the fast response and smoothness of the motor torque output. The power is distributed based on the vehicle speed, longitudinal acceleration, and vehicle pedal information to determine the motor's operating mode. The dynamic performance of the two systems is compared under the given operating conditions. The results show that the longitudinal acceleration fluctuation is reduced by 30-40% under full throttle conditions, and the electric motor can improve the vehicle's dynamic performance and driving comfort. In the braking condition, the electric motor acts as a retarder to enhance the braking performance.
Zhang, HongyuWei, ZhengjunZhen, RanShangguan, Wen-Bin
As one of the most important design choices in the powertrain design cycle, motor selection is conventionally performed according to given automotive requirements. Motor-related powertrain design parameters like gear ratio, power output ratio between different axles, are excluded from the motor design process. In this paper, three comparative studies are performed to investigate the impact of these motor-related powertrain design parameters on the motor performance and the weight/cost/efficiency of the entire EV powertrain. In the first study, three PM motor designs—characterized by high, medium, and low rated speeds—will be assessed for a two-axle EV using various gear ratio configurations. The same motor design will be used for both axles. In the second study, five motor designs with varying power and ratings (PM, non-PM) but identical rated speeds will be evaluated for a two-axle EV, permitting different power ratings for the front and rear axles. The design trade-offs between motor speed and type combination, as well as the distribution ratio of motor power output across the two axles, will be analyzed by examining the cost, and range of the electric vehicle. The final study will be an optimization for a more comprehensive design exploration with maximum variation on the powertrain components.
Movahed, EhsanGodbehere, JonathanJia, Yijiang
This paper describes an optimal control method utilizing a Linear Quadratic Regulator (LQR) to control the torque during the gear shift on a multispeed electrified transmission to optimize for clutch actuator durability and shift performance. The dynamic state-space model of the system has been obtained using System-Identification. An LQR controller is formulated to minimize driveline oscillations and transmission-input-torque using the model by manipulating the electrical torque applied by the traction motor at the transmission input. The LQR controller is implemented in a simulation framework wherein the impact of vehicle parameters on the shift quality metrics is also assessed. Subjective and objective requirements are considered in the tuning process for the LQR controller. The LQR controller is utilized to generate profiled torque table calibrations. These calibrations are then deployed onto a production ready Transmission Control Unit and experimentally validated on a Class-8 Heavy Duty vehicle retrofitted with an electrified multispeed transmission. Experimental validation is performed at multiple Gross-Combination-Vehicle Weight (GCVW) configurations. Significant reduction of clutch actuation effort, shift time while maintaining adherence to subjective and objective shift quality metrics has been demonstrated compared to traditional S-Shaped torque profiling.
Koli, RohitSmith, Nathan
A heavy-duty commercial electric truck is equipped with dual axles, with the middle axle driven by an electric motor and a three-speed transmission and the rear axle driven by an electric motor and a two-speed transmission. To consider the dynamic and economy performance of the whole vehicle, as well as the gear distribution characteristics in the vehicle operation, a comprehensive shifting schedule based on the cross-particle swarm algorithm is proposed. By establishing the longitudinal dynamics model of the truck, the optimal power shift schedule and the optimal economics shift schedule of each of the two transmissions are studied. Under the standard test conditions, an optimal gear control strategy based on the dynamic programming algorithm considering the shift interval is proposed, and the shift schedule for the standard conditions is derived through the hierarchical clustering method. Furthermore, with 0-100 km/h acceleration capability and specific energy consumption as the objectives, a comprehensive shift schedule optimization model is established, and the comprehensive shift schedule curve is obtained by solving the cross-particle swarm algorithm. MATLAB\Simulink is used for vehicle modeling and simulation test condition design to compare and analyze the dynamic performance and economy performance of the four types of gear shift schedules. The results show that the comprehensive shift schedule can be close to the optimal dynamics shift schedule in terms of dynamic performance while exhibiting good economy performance simultaneously, which can also run in real-time without relying on the overall operating conditions.
Guo, JunZhang, YunqingWu, Jinglai
In hybrid vehicle systems, the addition of a clutch at the engine end can significantly enhance the overall energy efficiency of the vehicle. In this paper, a novel multi-mode series-parallel configuration is proposed based on the Honda IMMD system and a comprehensive comparison is made with series and series-parallel configurations. Firstly, this paper analyses the various operational modes induced by the inclusion of a clutch at the engine end based on the IMMD system. Subsequently, the fuel consumption of the novel optimized series-parallel configuration is assessed using a rapid dynamic programming method aimed at minimizing fuel consumption during the powertrain operation; additionally, its dynamic performance is analyzed through dynamic programming algorithms. Finally, the performance of different configurations is quantitatively evaluated in terms of acceleration and fuel consumption. The findings reveal that the IMMD + Clutch configuration significantly enhances dynamic performance compared to the series configuration, with an overall improvement of 20.18%. In urban cycle, the IMMD + Clutch (Ice) configuration achieves a 4.6% increase in fuel efficiency. On the highway, both IMMD and IMMD + clutch configurations show notable improvements in fuel consumption, at 11.41% and 11.43% respectively.
Zhang, YuxinZou, YungeYang, Yalian
The efficient operation of electric vehicles (EVs) heavily relies on the proper lubrication of the E-drive unit components, particularly the transmission gears and bearings. Improper oil supply can lead to mechanical failures, while excessive oil can increase power loss due to churning. This study focuses on utilizing Computational Fluid Dynamics (CFD) simulations to analyze the impact of drive speed, oil level, and temperature on gear churning loss in E-drive units. The research also investigates the influence of a baffle plate on power loss and oil splash characteristics. The simulations, conducted using the volume of fluid (VOF) method in Simerics-MP+, consistently illustrate a reduction in power loss with rising oil temperature and reveal decreased gear churning loss with a baffle plate, especially under high-speed conditions, highlighting its potential for enhancing energy efficiency in EVs. Additionally, post-processing analysis of oil splash patterns sheds light on the lubrication process of the gears, offering valuable insight into optimizing E-drive unit design for enhanced energy efficiency and performance.
Kumar, P. MadhanMotin, AbdulPandey, AshutoshGanamet, AlainMaiti, DipakGao, HaiyangRanganathan, Raj
In the Agricultural tractor- transmission system plays major role to transfer power from Engine to final drive through gear box enabling Forward/Reverse (F/R) movements during field operations and transportation conditions. The F/R retainer plate with idler gear, shaft is located between clutch housing and transmission gear box housing. If the retainer housing plate gets failure, then power will not be able to transfer from engine to transmission gear box main drive. In one of the tractor model retainer plate failures was observed during field testing. To simulate the failure mode from field to lab condition, the resultant forces and angle were calculated based on the drive line assembly. Resultant loads were applied on Idle gear shaft assembly through servo actuator in cyclic mode at lab. The failure was observed in the retainer plate and the location of failure was matching with field failure. CAE virtual simulation was carried out for measured load as per the laboratory boundary conditions and failure was captured. To quickly resolve the concern, design iterations were performed in virtual simulation and recommends the design improvements. Improved retainer plate was then offered to laboratory testing for re-validation. The test result was found to be satisfactory which was then implemented for further field testing. Further failure was not reported from field testing which ensured the robustness of the test methodology and accelerated physical testing.
V, SaravananMani, SureshKumar, SasiMore, AmitDumpa, Mahendra Reddy
Parallel hybrid commercial vehicles equipped with automated manual transmissions are extensively utilized in the commercial vehicle sector due to their minimal configuration changes, high energy efficiency, and multi-mode driving capabilities. The key to enhancing the fuel economy of these vehicles lies in the mode switching and gear shift control strategy. To meet the driving requirements of these vehicles and optimize their fuel efficiency, this study introduces a mode switching and gear shift control strategy based on dynamic programming for a parallel hybrid commercial vehicle. First, dynamic programming is applied to the energy management strategy of the hybrid electric vehicle to determine the optimal fuel-efficient power output. Subsequently, the results from dynamic programming simulations are utilized to establish the mode switching boundaries and gear shift patterns. An improved mode switching and gear shift control strategy is then proposed and compared with the control strategy based on optimal efficiency. The findings indicate that the fuel consumption per 100 km with the dynamic programming improvement strategy was 5.64% lower than that of the control strategy based on optimal efficiency, under the conditions of the Chinese heavy-duty commercial vehicle test cycle for heavy trucks. This underscores the superior fuel efficiency of the improved control strategy compared with the control strategy based on optimal efficiency.
Zhai, XumaoLi, YujuanJiang, GuangzongYan, ZhengfengYao, MingyaoSun, Yansen
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