Browse Topic: Transmission gears

Items (512)
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
Sankarasubramanian, HariharanM, ShaghasraV, Ramprathap
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
Kansagara, SmitThambala, PrashanthSutar, SureshTodtermuschke, KarstenPatel, Hiral
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
Shah, SwapnilMane, PrashantVoncken, AntoniusEmran, Ashraf
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
Thambala, PrashanthPatel, HiralSoor, Debasis
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
Munisamy, SathishkumarChollangi, DamodarMane, Sudhir
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
Bagane, ShivrajPendse, Ameya
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
M, Vipin PrakashRajappan, Dinesh KumarR, SureshN, Gopi Kannan
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
Reddy, Mallangi PrashanthGorain, RajuGanguly, Gourav
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
Ankit, PriyadarshiKulkarni, KrishnaMomin, Vaseem
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
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
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
Kushwaha, RakeshPatel, HiralNavale, Pradeep
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
Bandi, Nagendra ReddyKolla, KalyanP, SelvandranPulugundla, Krishna ChaitanyaM A, Naveen Kumar
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
Sharma, ChinmayaBhagat, AjinkyaKale, Jyoti GaneshKarle, Ujjwala
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
Sanjay, LS, ManickarajaKumar, SarveshKanagaraj, PothirajSenthil Raja, TB, Prem PrabhakarM, Kiran
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
Wani, KalpeshJadhav, VaibhavShendge, RamanWarule, Prasad
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
Patel, HiralThambala, PrashanthTongaonkar, YogeshMosthaf, JoergMalpure, Khushal
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
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
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
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
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
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
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
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
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
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
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
Ramadandi, PadmavathiBose, AnshumanSirangu, SatishYeldo, JabinEdgar, ShawnSalve, SiddheshKaushik, Prince
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
He, SongBahk, CheonjaeLi, BoDu, IsaacPatruni, Pavan KumarBaladhandapani, Dhanasekar
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
Zhou, XilongLiu, ZhienXie, LipingYu, ShangboLu, ChihuaGao, XiangYongsheng, Wang
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
Norris, Mark A.Orzechowski, JeffreySanderson, BradSwanson, DouglasVantimmeren, Andrew
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
Kundu, Prantik
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
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
Koli, RohitSmith, Nathan
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
Zhang, HongyuWei, ZhengjunZhen, RanShangguan, Wen-Bin
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
Guo, JunZhang, YunqingWu, Jinglai
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
Chen, BichengWellmann, ChristophXia, FeihongSavelsberg, ReneAndert, JakobPischinger, Stefan
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
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
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
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
Zhai, XumaoLi, YujuanJiang, GuangzongYan, ZhengfengYao, MingyaoSun, Yansen
The impact and vibration problem during gear shifting and mode switching of the P2 hybrid 8AT system of new energy vehicles seriously affects driving comfort. This paper proposed a collaborative clutch slip and friction control strategy for a P2 hybrid power system with power downshifting and engine starting to reduce transient shock vibration during the power system operation. A dynamic model of the P2 hybrid system was established, including a physical model of the engine, motor, clutch, 8AT transmission mechanism, and driving resistance. The transient dynamic behavior of the P2 hybrid system with power downshifting and engine starting was systematically studied. On this basis, with the goal of consistent power response and smooth gear shifting, a multi-stage collaborative control strategy including the motor, engine, and clutch under the power downshifting condition was formulated. Model-in-loop simulation verification was carried out based on MATLAB/Simulink platform. The
Song, TingbinWang, ShuhanXu, XiangyangQiu, Longhui
This paper focuses on the weak fault diagnosis of a dual - axes precision gear transmission system. Firstly, it elaborates on the structure and working principle of the system. Comprising components like azimuth and pitch channels, motors, and control units, the pitch channel's gear transmission chain is a key research area. Subsequently, fault modes and their harmfulness are analyzed. Different faults such as tooth surface wear and pitting are considered. These faults can lead to serious consequences like system failure and mission deviation. Based on this, a test system is constructed. It includes sensors and a data acquisition system to simulate faults and collect vibration signals. The signals are then analyzed to understand the system's behavior. Finally, a weak fault feature index based on time - domain entropy is developed. A threshold setting method based on severity index is also proposed. These methods together enable the accurate diagnosis of weak faults in the system, which
Han, WeiChang, Yingjie
To enhance energy efficiency of series-parallel hybrid system, this paper investigates and compares the effects of adding the gear ratio at different power source position on the performance of the vehicle. Firstly, the effect of adding gears at various positions is analyzed on the basis of intelligent multi-mode drive (IMMD) configuration, and the potential working modes resulting from the added gear ratios at different power source positions are examined. Secondly, multi-objective particle swarm optimization (MOPSO) algorithm is used to optimize the transmission ratio of new gears, laying the groundwork for comparing different configurations. Moreover, the fuel economy performance of the optimized series-parallel configuration was evaluated using a rapid dynamic programming approach with the objective function of minimizing fuel consumption during power transfer. Finally, in accordance with the aforementioned research, the acceleration performance and economic performance of
Zhang, YuxinZou, YungeYang, Yalian
The optimization of gear shifting is a critical process in heavy-duty trucks for adjusting engine operating points, enabling a multi-objective balance between power, fuel efficiency, and comfort. However, this process is challenged by the nonlinear characteristics of engine fuel consumption, power interruptions during AMT (Automated Manual Transmission) shifts, and uncertainties in driving conditions. This study proposes a rolling optimization shift strategy for heavy trucks equipped with AMT, based on a multi-scale prediction of internal combustion engine fuel consumption on the road. Firstly, a predictive model for the energy efficiency and dynamics of heavy-duty trucks with AMT was developed, accounting for the engine’s engine’s operating condition points and power interruptions during shifting. Secondly, a future power demand, vehicle speed, and fuel consumption prediction algorithm was designed, iterating based on accelerator pedal position forecasts and dynamic modeling. Finally
Liu, XingyiZhou, QuanyuZhang, LeiboLv, DongxuanSun, XiaopengGao, JinhaoSong, KangXie, Hui
Gear shift system in a gearbox is used to shift the power flow from one gear set to another gear set which enables manual transmission to maintain different torque and speed combination. Shift quality is determined by the response of the gear shift lever while changing the gears. Shift force over the entire travel event of engagement and disengagement for multiple gear sets is the key factor influencing gear shift quality. If the shift forces are higher, the effort required for shifting will also increase resulting in uncomfortable shifting. On the other hand, with lower shifting force, sudden jerk, vibration or change in vehicle condition may also cause shifting which is undesirable and may lead to safety issue. One of the important features of shift system is auto pull behavior observed while shifting. While shifting, driver starts displacing the shift lever and after threshold point the transmission itself pulls the shift lever to the end point, reducing driver effort. In the
Sabri, Salah AhmadBhimrao, Sachin AhirraoPinto, João PauloMussulini, Bruno CDias, Sebastião Joel
Gear shifting performance in vehicles is critical for smooth operation, especially under cold environment conditions or sub-zero conditions. In this comprehensive study, we delve into the multifaceted aspects that influence gear shifting behaviour during cold conditions especially after overnight vehicle soaking at low temperature below -8°C to simulate real world scenarios. Notably, our efforts on these bench trials focuses on isolating the synchronization load from the maximum block release force, a phenomenon arising from the interaction between synchronizer rings and gear cones in case of high drag of input and counter shafts. Our experimental trials involved multiple bench level testing for lower gear shifting case especially 2nd to 1st gear and 1st to 2nd gear shifting. Factors under study are focusing on changing the Oil (viscosity and quantity), different combination of synchronizer ring material, change of inertia etc. Shifting load in cold condition mainly includes two loads
Mishra, SubodhSiddharth, KumarSingh, Manoj
Gear shifting effort or force especially in manual transmission has been one of the key factors for subjective assessment in passenger vehicle segment. An optimum effort to shift into the gears creates a big difference in overall assessment of the vehicle. The gear shifting effort travels through the transmission shifting system that helps driver to shift between the different available gears as per the torque and speed demand. The shifting system is further divided into two sub-systems. 1. Peripheral system [Gear Shift Lever with knob and shift Cable Assembly] and Shift system inside the transmission [Shift Tower Assembly, Shift Forks, Hub and sleeve Assembly with keys, Gear Cones and Synchronizer Rings etc.] [1]. Both the systems have their own role in overall gear shifting effort. There has been work already done on evaluation of the transmission shifting system as whole for gear shifting effort with typical test bench layouts. Also, work has been on assessment of life of the
Singh, ParamjeetYadav, Sanjay Kumar
Integrated electric drive systems are characterized by high power density, reliability, and controllability, making them increasingly prevalent in the realm of electric commercial vehicles. However, the direct coupling between the motor shaft and the transmission system has introduced a series of undesirable torsional vibration phenomena. To investigate the dynamic characteristics of electric drive systems in operation for electric commercial vehicles, a comprehensive modeling approach is employed. This modeling framework takes into account key factors such as gear backlash, structural flexibility, and electromagnetic spatiotemporal excitations. Based on this model, the influence of the electrical system on time-varying gear mesh stiffness, gear transmission error, bearing forces, and other factors is investigated. Building upon this foundation, the article proposes an approach for active harmonic voltage injection. This method effectively reduces torque fluctuations, decreases the
Xi, XinChen, XiaoliZhao, HongyangZhao, XuanWei, JingLiu, Yonggang
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