Browse Topic: Axles

Items (1,217)
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
This work aims to investigate how disturbance-aware, robustness-embedding reference trajectories translate into actual driving performance when executed by professional drivers in a dynamic driving simulator. The study compares three planned reference trajectories against a free-driving baseline (NO-REF) to assess the trade-offs between lap time (LT) performance and steering effort: NOM, the nominal time-optimal trajectory; TLC, a track-limit-robust, time-optimal trajectory obtained by tightening margins to the track edges; and FLC, a friction-limit-robust, time-optimal trajectory obtained by tightening against axle/tire saturation. All reference trajectories share the same minimum LT objective with a small steering-smoothness regularizer, and are evaluated with two professional drivers driving a high-performance car on a virtual track. The reference trajectories stem from a disturbance-aware minimum-LT framework recently proposed by some of the authors, where worst-case disturbance growth is propagated over a finite horizon and used to tighten tire-friction and track-limit constraints, preserving performance while delivering probabilistic safety margins. LT and steering energy (SE) are evaluated as indicators of driving performance and steering effort, respectively, while RMS values of lateral deviation, speed error, and drift angle are used to characterize driving style. The results reveal a Pareto-like trade-off between LT and SE: NOM achieves the shortest LT, but with the highest SE, TLC minimizes SE at the expense of longer LT, while FLC lies near the efficient frontier, markedly reducing SE relative to NOM with only a minor LT increase. Removing reference trajectories (NO-REF) leads to both higher SE and longer LT, confirming that trajectory guidance improves pace and control efficiency. Overall, the findings highlight reference-based and disturbance-aware planning, particularly the FLC variant, as effective tools for training and for achieving fast yet stable trajectories.
Masoni, MatteoPalermo, VincenzoGabiccini, MarcoGulisano, MartinoPreviati, GiorgioGobbi, MassimilianoComolli, FrancescoMastinu, GianpieroGuiggiani, Massimo
Volvo Trucks' revised VNR brings updated safety tech, improved fuel economy and driver comfort features to the regional haul segment. Volvo Trucks has continued its rollout of new models for every sector of the commercial truck market. The redesigned VNR is the latest model to see the spotlight. The new VNR naturally carries all of Volvo's latest safety tech, but also prioritizes maneuverability, fuel efficiency and configurability for a wide variety of fleet uses. “The VNR is an incredibly versatile truck,” said Maddie Sullivan, product marketing manager. “There are so many different configurations to meet our customer's needs. We offer four different cab sizes, three different axle configurations and two different chassis configurations.”
Wolfe, Matt
High-temperature hydraulic control in a Formula 1 drivetrain requires dimensional stability, controlled sealing force, and resistance to wear under sustained pressure cycling. Inside the limited-slip differential, the sealing architecture plays a defined mechanical role in maintaining consistent torque management under race conditions. In Formula 1, drivetrain reliability and performance are closely linked. The limited-slip differential (LSD) governs torque distribution between the rear wheels, allowing controlled transfer of power to the wheel with greater available grip. By limiting speed difference across the rear axle, the differential contributes directly to traction and cornering behavior, particularly where grip levels vary across the vehicle. At the center of this assembly is a hydraulic actuator that clamps a friction clutch inside the differential. The actuator modulates clutch engagement to redirect torque as grip levels change through corner entry, mid-corner load transfer, and acceleration on exit. Its performance depends on precise hydraulic control, which in turn depends on sealing integrity. Within this system, seal integrity is paramount, as significant leakage could cause a catastrophic loss of system function and force the team to retire the car.
Clarke, Andrew
In the field of measuring carbon emissions from road traffic, the carbon emission factor method has remarkable advantages in terms of standardization, operational simplicity, and adaptability. Backed by the IPCC international standard framework, this method offers convenient access to a dynamic factor database and incorporates an adaptive adjustment mechanism for real-world scenarios, such as technological advancements and regional disparities. Against this backdrop, this study employs the carbon emission factor method to establish refined measurement models based on load capacity and fuel consumption, respectively. These models are then applied to quantify carbon emissions from trucks on specific sections of the G30 highway in Xinjiang. The load-based model calculates emissions by integrating truck axle weight and driving distance, while the fuel-based model analyzes fuel consumption data in conjunction with driving mileage. A comparison of the two models in terms of measurement differences is also carried out in the research. Furthermore, it provides a granular breakdown of energy consumption data for fully loaded trucks exceeding 31 tons, as specified by national standards. This introduces a novel approach to precise carbon emission measurement in heavy-duty transportation in northwestern China. It also provides a method for establishing an emission mitigation policy that is region-specific on a scientific basis.
Li, MaowenHan, DongchenGao, YansenBai, HaotianDai, Xiaomin
For off-road driving, particularly on steep grades and over barriers, the engine torque is a key design criterion of off-road vehicles. In conventional powertrains with combustion engines, mechanical all-wheel-drive systems combined with differential locks are used to distribute the torque demand between the front and the rear axle based on wheel-specific traction. With the growing market share of electric powertrains, off-road applications are becoming increasingly relevant for electric passenger cars. In comparison to conventional powertrains, electric all-wheel-drive configurations do not have a mechanical torque transfer between the two axles. If one axle experiences low traction, the second axle can rely on its own torque capability only. Transfer of unused torque of the slipping axle to the other one is not possible. The challenge, therefore, is to specify the right torque requirements for each axle for off-road driving while avoiding over-dimensioning and high powertrain costs. The torque requirements must be defined in the very early stages of development, when real-world measurements are not available. As a result, these definitions must be based on simulation. This paper presents a simulation approach to address this engineering challenge. A key aspect is the modeling of the representative off-road track as input for the simulation. A method of track generation was developed by using real vehicle measurement data from off-road tracks, combined with GPS and road information. The virtual track modelling process was designed to match the overall torque behavior observed in both simulation and measurement to confirm a validated and trustful simulation approach. The validation of the approach will be shown.
Martin, MichaelWinkelheide, JonasHartmann, LukasSturm, AxelHenze, Roman
Parking assist systems are among the most widely adopted driver-assistance features in modern vehicles. A key component of these systems is the path planning module, which ensures accurate vehicle alignment within a parking slot while satisfying various constraints such as maintaining slot centering, avoiding collisions in confined spaces, minimizing maneuver count, and achieving the shortest feasible path. Multiple path generation techniques—such as geometric, polynomial-based, and search-based methods—have been developed to enable safe and efficient parking maneuvers. However, most of these approaches rely on the simplifying assumption that the vehicle’s instantaneous center of rotation (ICR) is fixed, typically located on the non-steering axle. In practice, the ICR is not constant and can vary significantly across vehicles due to several physical and kinematic factors, including steering geometry, tire slip characteristics, suspension configuration, and weight distribution. Neglecting these variations can introduce trajectory inaccuracies, reducing the precision and reliability of automated parking systems. Although prior studies have explored estimation methods for the instantaneous center of rotation (ICR), limited research has examined how variations in the ICR influence overall parking performance. This paper addresses this gap by investigating the impact of ICR variation on path generation and motion control accuracy in parking assist systems. A simulation-based study using an SUV-class vehicle model is conducted to evaluate system behavior across diverse parking scenarios. The results demonstrate how ICR assumptions affect path precision and overall parking accuracy, providing insights to enhance path planning and control algorithms for real-world applications.
Awathe, ArpitPatanwala, AbizerJain, ArihantVarunjikar, Tejas
Roller bearings are used in many rotating power transmission systems in the automotive industry. During the assembly process of the power transmission system, some types of roller bearings (e.g., tapered roller bearings) require a compressive preload force. Those bearings' rolling resistance and lifespan strongly depend on the preload set during the installation process. Therefore, accurate setting of the preload can improve bearing efficiency, increase bearing lifespan and reduce maintenance costs over the life of the vehicle. A new method for bearing preload measurement has shown potential for both high accuracy and fast cycle time using the frequency response characteristics of the power transmission system. An open problem is experimental validation of the multi-row tapered roller bearing analytical model. After validation, the analytical model can be used to predict the assembled system damped natural frequency for a desired bearing preload. This work presents the experimental validation of the analytical model including the experimental test stand, test method, test results and comparison to analytical model. The developed test stand represents an automotive pinion shaft/gear as might be found in a rear axle and can be mounted either vertically or horizontally to simulate assembly and operational positions of the axle and to consider the effects of gravity. To measure bearing preload, the test stand is instrumented with a load cell, and each shaft has strain gages installed. Multiple accelerators are used to measure the system frequency response to an impulse provided by a modal hammer. For this work, three different bearing pairs in back-to-back configuration are tested at seven different preload values. The analytical model is evaluated using the same bearing designs and the preloads measured from the test stand. Results from the analytical model are compared to experimental results to validate the analytical model.
Gruzwalski, DavidMynderse, James
High-precision estimation of key vehicle–road state parameters is crucial for ensuring the accurate and safe control of mining trucks (MT), as well as for reliable trajectory tracking. Among these parameters, the vehicle sideslip angle is particularly critical for assessing and predicting lateral stability. However, its direct measurement is challenging, and its estimation typically depends on an accurate characterization of tire cornering stiffness. For MT, large variations in loading conditions (from empty to fully loaded) pose significant challenges to sideslip angle estimation due to the resulting nonlinearity and variability of tire cornering stiffness. To address this issue, a novel joint estimation framework integrating the Moving Horizon Estimation (MHE) and Square-Root Cubature Kalman Filter (SCKF) is proposed to simultaneously achieve high-precision estimation of both tire cornering stiffness for each tire and vehicle sideslip angle. In this framework, the cornering stiffness of the front, middle, and rear axles is identified and updated in real time using MHE through a forgetting-factor least squares method based on yaw rate and lateral acceleration data within a fixed-length time window. The updated stiffness is then incorporated into the SCKF for accurate estimation of the sideslip angle. This sequential process effectively establishes a coupling between the estimation of the two parameters, forming an integrated joint estimation mechanism. The proposed framework is validated on the TruckSim–Simulink co-simulation platform, and the results confirm its superior accuracy and robustness, demonstrating its potential to improve the safety and control performance of MT.
Xia, XueShen, PeihongJiao, LeqiLi, TaoChen, HuiyongZhao, KunJiao, LeqiZhao, Zhiguo
Dog clutches have long been employed in the automotive industry across various applications, including transmission systems, transfer cases, axle disconnects, and hybrid driveline architectures. Their ability to provide direct mechanical engagement makes it ideal for torque transmission with minimal energy loss. However, the transition between engaged and disengaged states can introduce noise, vibration, and harshness (NVH), which may be perceptible to vehicle occupants and affect overall driving comfort. A typical dog clutch relies on interlocking teeth for torque transfer, and its actuation can result in NVH due to factors such as friction between mating surfaces, backlash between engagement components, teeth-on-teeth contact during synchronization, and impact forces during clutch engagement. This paper presents Stellantis’s approach to controlling the actuator system to mitigate NVH effects during clutch engagement and disengagement, focusing on strategies that enhance drivability and system refinement in electrified vehicle platforms.
Xu, ChengyiMadireddy, Krishna ChaitanyaVerhun, Brandon
The transition from Internal Combustion Engine (ICE) vehicles to Battery Electric Vehicles (BEVs) introduces significant challenges in drivetrain development, particularly when historical road load data (RLD) is unavailable This study presents a methodology for virtually generating and processing road load data (RLD) to assess the durability of a new 3-speed electric axle (eAxle) design before building a physical prototype. Using AVL Route Studio, we simulated a range of driving conditions including urban, highway, and mixed-terrain routes, covering diverse global scenarios. These simulations produced high-frequency torque and speed data representative of real-world operation. Given that the raw dataset contained millions of points, direct use for fatigue assessment was impractical. To address this, the data was imported into Romax, where it was condensed into an accelerated duty cycle while preserving the cumulative fatigue damage patterns from the original dataset. Unlike conventional binning methods, which can misrepresent load severity, our damage-matching approach maintained accurate replication of gear contact, gear bending, and bearing damage characteristics. This methodology enables early-stage durability validation of eAxle designs without dependence on physical testing or historical data. Our findings suggest a correlation between condensed and original damage profiles for transmission components, indicating that this virtual approach may be useful. The framework offers a potential method for virtual RLDA work that could help with design verification and optimisation for electric drivetrains.
Ligade, PratikKhan, Nuruzzama MehadiKoona, Rammohan Rao
Rear drive vehicles transfer power to the rear wheels through the Gear Carrier Assembly, which is fit at the central section of the Rear Axle. The Gear Carrier Assembly includes hypoid ring and pinion gears, set at the heart of the system. However, one of the common issues with hypoid gears is gear scoring and whine noise, both of which can seriously affect durability and reduce the overall performance of a vehicle. In this study, the focus is on design changes as well as process improvements to address these problems and at the same time improve gear reliability. On the design side, changes such as refining the macro geometry, upgrading materials, and modifying the heat treatment cycle were carried out. These helped in improving properties like contact stress resistance, bending and impact strength, and also reduced motion transmission error (MTE). From the process point of view, careful control over carburizing, hardening, and quenching temperatures, along with adjustments in quenching pressure, played a major role in improving hardness distribution and the quality of the microstructure. Finishing steps after lapping, like vibro-deburring and manganese phosphating, were also introduced to achieve surface finishes that were very close to ground gears. With these combined measures, noticeable improvements were seen, MTE was reduced, the contact pattern shifted from being center-biased to diagonal-biased, drivetrain losses came down, NVH performance improved, and durability increased. Overall, the study highlights the steps taken to tackle scoring and noise issues in hypoid gears, with the aim of making them more reliable and efficient in operation.
Praveen, AbhinavDeshpande, PraveenJain, Saurabh KumarParmar, MayurKarle, NileshKanagaraj, PothirajPagar, Pawan
The inertial profiler methodology is traditionally employed in RLDA (Road Load Data Acquisition) to measure road profiles and classify test routes into ISO road classes. However, this approach demands significant time and effort during instrumentation. Also, during data acquisition, laser height sensor data is affected especially during adverse conditions such as rainy seasons or on surfaces with improper reflectivity. Additionally, substantial resources are required for data processing to convert raw measurements into road classifications. To address these challenges, an initial attempt was made to establish a relationship between axle acceleration responses and road profiles, enabling axle acceleration measurements during RLDA to predict ISO road classes. However, this approach relied on a simple linear model that considered only axle acceleration responses, rendering the predictions susceptible to inaccuracies due to varying parameters such as vehicle speed. To overcome these limitations, an alternative method is introduced in this study, incorporating additional & generated parameters and employing a multiple linear regression model based on machine learning techniques. This paper outlines the detailed steps of the machine learning process, including feature engineering methods such as feature extraction, transformation, selection, and reduction. It also explores model fine-tuning strategies guided by performance metrics. The proposed methodology significantly improves the accuracy of road class predictions while reducing the time, effort, and challenges associated with instrumentation, data acquisition, and post-processing activities.
P, Praveen KumarP, DayalanSriramulu, Yoganandam
In tractors, efficiency is predominantly influenced by the transmission system, with transmission elements being the major contributors to power losses. Enhancing efficiency necessitates monitoring these power loss areas. Transmission power loss refers to the reduction in power from the engine to the final drive elements. Various parameters and factors affect these losses, and analyzing these conditions helps identify and improve the components that contribute most to driveline efficiency. This study correlates analytically calculated power loss with losses measured during testing under different load conditions. Additionally, critical parameters contributing to power loss in gears, bearings & in seals have been identified, and theoretical relationships have been established.
Jayapal, JayarajMahapatra, Soumya RanjanSethi, Suvendu KumarJoshi, ShrikantBange, Prashant
In the initial stages of a vehicle development program, the sizing of various components is a critical deliverable. The steering system, in particular, requires a precise estimation of the rack load for the appropriate sizing of the rack and assists units. Accurately predicting the load on the system during the early stages of development is challenging, especially in the absence of benchmark or legacy data. Commonly used processes for estimating parking steering effort often employ simplistic approaches that may fail to account for parameters such as tire size, vertical stiffness, and steering geometry, leading to reduced accuracy. This paper introduces an advanced methodology for predicting steering rack loads, which incorporates considerations such as contact patch size and pressure variation, as well as the tire jacking effect. The methodology involves mathematical modeling of the contact patch using mesh-grids, utilizing common inputs available in the early stages of vehicle development, such as tire size, tire vertical stiffness, front axle weight, and suspension geometry variations. This approach aims to reduce development time while enhancing accuracy. The predicted results have been found to closely align with physical measurements. The findings indicate that the proposed methodology significantly improves the precision of steering rack load predictions, thereby facilitating the design of more resilient and efficient steering systems.
Shirke, UmeshDabholkar, AniruddhBardia, VivekSrivastava, HarshitPrasad, Tej Pratap
In the automotive industry, during the early phase of development, numerical prediction of strength and durability of chassis parts become crucial as these predictions help in design optimization, selecting the appropriate material and identifying potential issues before physical prototypes are built. One of the crucial simulation requirements is the prediction of accurate load carrying capacity or bucking load of axle links. When it comes to the sheet metal axle links there is a deviation in the hardware test and CAE results for load carrying capacity due to the non-integration of forming effects in the numerical simulation, resulting in overdesign of parts, increased costs and development time. This study aims to address these challenges by integrating forming effects experienced by the part during forming process into static strength simulations. These effects include plastic straining, which contributes to material strain hardening and local thickness changes that lead to thinning. Both parameters are critical for accurately predicting the load carrying capacity of sheet metal axle parts. A multi-step forming simulation is carried out on a rear-axle sheet metal link, which involves simulating all the stages of the forming process to accurately predict the plastic strains and thickness changes. The forming simulations are performed using the anisotropic material model Banabic-Barlat-Comsa (BBC) to capture the anisotropy effects. This model uses several coefficients to precisely characterize the yield surfaces, considering both uniaxial and biaxial yield stresses, as well as anisotropy coefficients. The output of the forming simulation, Equivalent Plastic Strain (EPS) and thickness data, are then mapped on to the FEA model as initial conditions for static strength calculation.
R B, GovindSelvaraj, Nirmal Velgin
This definitive study investigates the variation of churning losses occurring with hypoid ring and pinion gear sets and factors that determine energy dissipation in these mechanisms. An in-depth investigation confirms that viscosity is critical, particularly because of its significant temperature-dependent variations. Furthermore, the study rigorously analyzes the data's experimental parameters to examine churning losses. These losses result from the interaction between the rotating gears and the lubricating oil, contributing to notable inefficiencies in the overall drivetrain. A robust and highly effective model has been developed to address this issue comprehensively. It accounts for variable oil viscosity with temperature and integrates key empirical parameters that reflect observed behaviours in gear systems. The study employs a multidimensional approach to examine how oil density impacts hydrodynamic resistance, which is key to understanding lubricant flow under varying conditions. It also assesses how fluid fill levels in the gear housing affect lubrication effectiveness and influence energy losses. It further defines the relationship of oil volume with power losses, signifying its importance in improving gear performance. This developed simulation model will thus give a holistic understanding of fluid dynamics relating to energy dissipation within gear systems by analyzing how these variables interact with each other and kinematic viscosity. This level of detail gives a deeper insight into the mechanisms in operation, thereby fostering better methods in optimising churning losses. The results of this study demonstrate crucial practical implications for optimizing lubrication methods, enhancing gear housing designs, and selecting the most effective fluids for gear systems. This research strengthens current knowledge in the automotive engineering sector and drives the advancement of more efficient and eco-friendly drivetrain systems. Tackling real problems in engineering, this study bridges the divide between theoretical models and applications by equipping engineers with more advanced tools to enhance overall system performance and efficiency.
Khan, Aliya JavidPraveen, AbhinavKanagaraj, PothirajJain, Saurabh KumarAP, Baaheedharan
Automotive driveline design plays an important role in defining a vehicle’s Noise, Vibration and Harshness (NVH) characteristics. Driveline system, responsible for torque transfer from the engine/transmission to the wheels, is exposed to a wide spectrum of vibrational excitations. The industry’s shift toward turbocharged engines with fewer cylinders while maintaining the equivalent torque and power has led to increased low-frequency torsional vibrations. This paper presents some key design considerations to drive the NVH design of a driveline system using linear dynamic FE simulations. Using an E-W All-Wheel Drive driveline architecture with independent suspension as a case study, the influence of various subsystem modes on driveline NVH performance is examined. The paper further explores the strategies for vibration isolation, motion control, and mode management to identify the optimal bushing rates and its location. Furthermore, it examines the ideal bushing specifications for different rear differential module (RDM) configurations. Excitation scenarios including propshaft imbalance, engine block vibration, torsional vibration, and axle whine are analyzed as distinct load cases. The study also emphasizes how propshaft mode segmentation affects force transmission to vehicle body under the driveline excitations. The findings contribute to a deeper understanding of driveline NVH behavior and offer practical guidance for achieving improved driveline NVH performance.
Joshi, Atul KamalakarraoSubramanian, MANOJ
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
Accurate power and energy assessment in Battery Electric Vehicles (BEVs) requires high-fidelity simulation models that reflect real-world performance. This study presents a power rating correlation of the BEV model in compliance with the GTR 21[1] standard, validating the simulation’s accuracy against physical test data. Simulations were conducted using Matlab and Simulink based Simulation tool to estimate Electric Drive Module (EDM) power at the motor output and gearbox input under standardized conditions. The operating parameters were shared with the testing team to ensure consistency; however, the initial test results deviated by approximately 4% to 5% from the simulation target. To address this delta, EDM speed and vehicle speed were optimized, achieving a close alignment with the simulation and meeting the power rating targets. The results demonstrate a strong correlation between the simulation and test data, confirming the model’s accuracy and reliability. This study underscores the effectiveness of simulation-based validation in enhancing BEV power rating predictions, reducing physical testing dependencies, and accelerating vehicle development cycles while ensuring regulatory compliance.
Mahajan, PrasadKesarkar, SidheshAli, Shoaib
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
Vehicle dynamics encompasses a vehicle’s motion along three principal axes: longitudinal, lateral, and vertical. The vertical component is particularly susceptible to vibrational forces that can impair passenger comfort and overall performance, and the suspension system filters these vibrations. Engineers and designers conduct various studies to enhance quality and develop innovative designs in this context. However, when it comes to military vehicles, this system is often treated as classified. Consequently, the proposed work aims to determine the parameters of this system for a wheeled military vehicle with four axles. To achieve this, a mathematical model is proposed utilizing the concepts of power flow and kinematic transformers through a modular system, intended to serve as the foundation for solving an inverse problem to identify these parameters. This approach employs two stochastic methods, particle swarm optimization (PSO) and differential evolution (DE), and field tests to collect real data from the vehicle. Following the parameter estimation, a comparison between the numerical simulation and the actual dynamic behavior of the vehicle is proposed. Based on these tests, the system is analyzed under several proposed configurations.
de Oliveira, André NoronhaBueno Caldeira, Aldélioda Costa Neto, Ricardo Teixeira
This paper focuses on defining the optimal length of rear axle brake lines (flexible polyamide tubes) for commercial vehicles by simulating the lines digitally by considering tube behavior and various axle articulation conditions. Currently, the length of rear axle brake lines are predominantly defined with the help of a physical mockup by articulating axle conditions in a vehicle. This approach requires actual components such as frame, axle, suspension, etc., which consumes considerable time and cost. Through technological advancements, prototyping can be reduced and convergence on digital to build can be achieved through digital simulation. This paper explores tube properties, axle configurations and definitions, and various methods of digitally simulating line articulation. Boundary conditions, space reservations and design criteria for pneumatic routing are defined for the type of line designed. Digital simulation of rear axle brake lines articulation was performed and compared with prototype. The experimented method of digitally simulating line articulation significantly reduced the design iterations. And as a case study, the findings are discussed in detail.
Duraiswamy, RupeshSankaran, BhargavRaj, Santhosh
Tippers transporting loose bulk cargo during prolonged descents are subject to two critical operational challenges: cargo displacement and rear axle lifting. Uncontrolled cargo movement, often involving loose aggregates or soil, arises due to gravitational forces and insufficient restraint systems. This phenomenon can lead to cabin damage, loss of control, and hazardous discharge of materials onto roadways. Simultaneously, load imbalances during descent can cause rear axle lift, increasing stress on the front steering axle, resulting in tire slippage and compromised maneuverability. This study proposes a dynamic control strategy that adjusts the tipper lift angle in real time to align with the descent angle of the road. By synchronizing the trailer bed angle with the slope of the terrain, the system minimizes cargo instability, maintains rear axle contact, and enhances braking performance, including engine and exhaust braking systems. Computational modelling is employed to assess the performance of this approach across varying road gradients, vehicle speeds, and terrain characteristics. The paper further outlines the development of an automated control system for real-time angle adjustment and its integration into the vehicle’s existing electrical architecture.
Vijeth, AbhishekBhosle, Devidas AshokCherian, RoshniDash, Prasanjita
Cummins Inc. is an American multinational corporation that designs, manufactures, and distributes engines, filtration, and power generation products. This paper presents an overview of the design, analysis and testing carried out by Cummins to demonstrate the capability of a new structural engine for an agricultural tractor application. In general applications, the powertrain assembly is mounted onto a vehicle chassis via vibration isolators. Due to tight packaging constraints in agricultural tractors, leaving no room for the chassis rails. The engine in conjunction with the transmission and a front axle carrier becomes an integral member of the vehicle chassis. This leads to the engine being directly subjected to the wide range of agricultural tractor application specific loads. Multiple analysis lead design (ALD) iterations were carried out using cutting edge CAE software such as Ansys, Dassault Systems fe-safe, and PTC Creo to ensure all elements of the complex acceptance criteria were satisfied within the tightly coordinated program schedule. The key technical requirement for the first prototype engine build was to validate its structural integrity in a hydraulic rig test wherein the loading blocks were representative of severe duty end user application including abusive load case scenarios. The rig test was completed successfully, and the prototype engine underwent comprehensive post-test examination for mechanical fatigue. Magnetic particle inspection confirmed no cracks in any of the structural engine components. Additional data acquisition during the test comprised of strain measurements at key locations. The correlation between test and FEA stresses was assessed for the cylinder block and oil pan under the given load cases. While most of the strain gauge locations demonstrate close agreement within 30% w.r.t FEA results, few thermocouples exhibit certain variations over 50%. Overall, the results indicate a reasonable correlation between test and FEA, with most locations showing that the FEA results are on the conservative side. The observed differences mainly arise from modelling assumptions, and experimental uncertainties. This comparative verification provides high confidence in the FEA model and the engine’s durability.
Pathak, Arun Jyoti
In order to study the strength of the non-power wheelset of CRH5 EMU, a three-dimensional digital model was established, and the finite element analysis software ANSYS Workbench was used to establish the non-power wheelset finite element model of CRH5 EMU. For the axle and wheel of the train, based on the European EN13103 and International Union of Railways UIC510-5 standards respectively, Calculate the load value of the axle and wheel under each working condition and load it to the corresponding position, and then simulate and analyze the stress distribution and deformation results of the wheel and axle, and evaluate and analyze them.
Huang, Zhenqing
A solid, reduced-weight drivetrain system with improved maneuverability was developed and tested by the Desert Hare Off-road Team from South Dakota State University (SDSU) for the 2024 Baja SAE Competition. Based on an analysis of previous competition results, driver feedback, and competition requirements, the designed drivetrain system should enable the Baja vehicle to achieve a top speed of 40 mph (64.37 kph) on a 40° slope and cover 150 ft in 4.5 s from a standing start. Following the systems engineering design approach, the drivetrain system was decomposed into six components. While every team had to use the same engine provided by SAE, the transfer case was designed, and the remaining components—including the transmission, differentials, axles, half shafts, and tires—were selected from the available options. The designed drivetrain was then installed on the team’s 2024 Baja vehicle for testing and validation. Test results indicated that the vehicle with the new drivetrain system successfully met the climbing ability and acceleration criteria but fell slightly short of the top speed goal. These results were confirmed by the vehicle’s performance at the 2024 Baja SAE Competition.
Spilde, RileyLiu, Yucheng
The Front Axle wheel end assembly is a critical component of Vehicle functionality, comprising a wheel hub positioned to rotate smoothly on an Axle spindle. This rotational movement is enabled by bearings positioned between the hub and the spindle, allowing for frictionless rotation. The Front Axle wheel ends’ temperature typically depends on several factors such as type of Vehicle, Load & driving conditions and health of the components involved. In general, the wheel ends can become warm during normal operation owing to friction generated by the rotation of the wheels and the interaction of various mechanical components such as Bearings and Brakes. However, if the temperature of the wheel ends becomes excessively hot, it could indicate potential issues such as Overheating brakes, Wheel bearing problems, improperly inflated tyres, and faulty components. As temperature rise, materials tend to expand. This expansion can affect the dimensions of critical components in the Front Axle wheel end, potentially leading to misalignment or increased friction between moving parts. Hence, it is very important to check the temperatures at various operating conditions and ensure to limit it within acceptance level to detect problems early on and prior to the Customer Vehicle operation. This paper emphasizes on the comparative test results of the Wheel ends’ temperature between Conventional and Unitized Bearings and its physical measurements carried out in a same Vehicle. Conventional bearings, which typically consist of separate Inner and Outer bearing assemblies, might exhibit higher operating temperatures compared to Unitized bearings owing to additional friction points and potential for misalignment. Unitized bearings, which integrate multiple components into a single assembly, tend to operate at lower temperatures compared to conventional bearings due to reduced friction and improved alignment. The Vehicle level temperature measurements at various worst-case conditions carried out and proved that the measured values are in correlation with estimated results. Maintaining appropriate temperatures in the Front Axle wheel ends is crucial for ensuring optimal performance of the Vehicle’s Braking system and drivetrain.
Pandiyan, MahendranJayaraman, KarthikR, SabariB, EllavarasanBhanja, Subrat Kumar
The motion control system, as the core executive component of the automatic hierarchical framework, directly determines whether autonomous vehicles can reliably and stably follow planned trajectories, making it crucial for driving safety. This article focuses on steering lock faults and proposes a cross-system fault-tolerant control (C-FTC) algorithm based on dynamic model reconstruction. The algorithm uses a classic hierarchical collaborative architecture: the upper-level controller employs an MPC algorithm to solve lateral velocity and yaw rate reference values in real-time, while the lower-level controller, designed based on the reconstructed dynamic model, uses an MPC algorithm to adaptively adjust actuator control quantities. In cases where four-wheel steering vehicles lose steering ability due to locked steering axles, the locked axle’s steering angle is treated as a state variable, and healthy actuator outputs are used as control variables to dynamically reconstruct the vehicle dynamic model. The required lateral force for steering is then allocated to healthy actuators to achieve fault-tolerant control. To verify the algorithm’s effectiveness, validation combines hardware and real-vehicle testing, conducting high-speed obstacle-avoidance tests under three fault conditions: front axle lock, rear axle lock, and both axles locked. Results show that under all three conditions, the proposed algorithm keeps lateral trajectory tracking errors within 0.35 m, ensuring vehicle safety even with steering system faults.
Hu, HongyuTang, MinghongChen, GuoyingGao, ZhenhaiWang, XinyuGao, Fei
In the Brazilian market, the 6x2 configuration for commercial vehicles is widely used. These vehicles feature a driven rear axle and a non-driven axle. For the non-driven axle, it is common to use a lifter system that allows the axle to be lifted when the vehicle is running empty. This system provides benefits such as reduced fuel consumption, lower tire wear, and reduced toll costs when charges are based on the number of axles in contact with the ground. Given these advantages, the system has a high demand, making it mandatory to perform a durability test prior to its market implementation. This paper will present the validation methodology for the lifter system bracket. To achieve this, the following stages will be discussed: CAE, instrumentation, data acquisition, test bench concept, test execution and results.
Leme, Cristianoda Costa Rodrigues, GilsonFigueiredo, Guilherme Galvãode Souza Maria, Heitor CunhaPires, Luciano Rogério
Rolling bearings with optimized friction and performance characteristics can have a significant influence on reducing the power loss, design envelope and weight of hydraulic motors and pumps, gearboxes and axles in construction machinery. If correctly designed, rolling bearings can make a significant contribution to reducing carbon dioxide emissions. Most construction machinery is still operated conventionally, using diesel engines and hydraulic components. In the widely used adjustable axial piston pumps and motors, the input and output shaft are usually supported by two tapered roller bearings that are adjusted against each other. When designing the bearing support, it is advisable to reduce the preload to precisely the required minimum allowed by the load spectrum. The lower bearing preload leads to permanently lower axial forces between the tapered roller end face and inner ring rib and, therefore, to a corresponding reduction in frictional torque.
Scharting, Stefan
In electrified drivetrains, lubricants are commonly in contact with the motor and other electrical components as well as the gears and bearings. Copper, present in these electrical components, is susceptible to corrosion by fluids containing active sulfur, which can lead to catastrophic failure of the unit. Lubricating fluids for electric vehicles (referred to as e-fluids) must not cause corrosion and must maintain high performance while having suitable electrical conductivity, material compatibility, and heat transfer properties. We describe a new formulation without active sulfur that has recently entered the market, which can protect against copper corrosion. We show that this e-fluid can provide suitable wear protection under field trial conditions, and that the e-fluid provides improved wear protection in bearing (FE-8) tests compared to a traditional extreme pressure axle fluid (API GL-4). Surface analysis (X-ray photoelectron spectroscopy) measurements of the component surfaces after testing show that the wear protection arises from the formation of phosphate tribofilms, which are not present after testing with the traditional fluid. We show that the e-fluid provides high resistance to micropitting by gear (FZG) testing. Surface analysis measurements following reciprocating (TE-77) tribological testing again show that the wear protection arises from the formation of phosphate tribofilms, this time comparable to those produced by traditional driveline fluids.
Hopper, Elizabeth R.Williams, Megan S.Gahagan, Michael
The recent addition of fully electric powertrains to propulsion system options has increased the relevance of sound and vibration from electric motors and gearboxes. Electrified beam axles require different metrics from conventional beam axles for noise and vibration because they have multiple sources of vibration energy, including an electric motor and a reduction gearbox. Improved metrics are also driven by the stiff suspension connections and lack of significant isolation compared to electric drive units. Blocked force is a good candidate because it can completely characterize the vibration energy transmitted into a receiver and is especially useful because it is theoretically independent of the vehicle-side structure. While the blocked force methodology is not new, its application to beam axles is relatively unexplored in the literature. This paper demonstrates a case study of blocked force measurement of an electrified beam axle with a leaf spring suspension. The axle was tested both in vehicle and in a hemianechoic axle test cell. Measurement setup, including the selection of interface, instrumentation, and impact locations, is discussed. Comparisons between the blocked forces measured in vehicle and in dyno are made. Several key learnings, opportunities for measurement improvement, and ideas for future work are also addressed.
Shaw, Matthew DGrimmer, Michael J
As the automotive industry moves toward electrification, new challenges emerge in keeping pleasant acoustics inside vehicles and their surroundings. This paper proposes a method for anticipating the main sound sources at driver’s ear for custom driving scenarios. Different categories of Road and Wind noise were created from a dataset of multiple vehicles. Using innovative sound synthesis techniques, it enables Valeo to make early predictions of the emergence of an electric axle powertrain (ePWT) once it is combined with this masking noise. Realistic signals could be generated and compared with actual acoustic measurements to validate the method.
Redon, MilanDendievel, ClementPluton, Matthias
This study presents a novel methodology for optimizing the acoustic performance of rotating machinery by combining scattered 3D sound intensity data with numerical simulations. The method is demonstrated on the rear axle of a truck. Using Scan&Paint 3D, sound intensity data is rapidly acquired over a large spatial area with the assistance of a 3D sound intensity probe and infrared stereo camera. The experimental data is then integrated into far-field radiation simulations, enabling detailed analysis of the acoustic behavior and accurate predictions of far-field sound radiation. This hybrid approach offers a significant advantage for assessing complex acoustic sources, allowing for quick and reliable evaluation of noise mitigation solutions.
Fernandez Comesana, DanielVael, GeorgesRobin, XavierOrselli, JosephSchmal, Jared
This article analyses the fundamental curving mechanics in the context of conditions of perfect steering off-flanging and on-flanging. Then conventional, radial, and asymmetric suspension bogie frame models are presented, and expressions of overall bending stiffness kb and overall shear stiffness ks of each model are derived to formulate the uniform equations of motion on a tangent and circular track. A 4 degree of freedom steady-state curving model is formulated, and performance indices such as stability, curving, and several parameters including angle of attack, tread wear index, and off-flanging performance are investigated for different bogie frame configurations. The compatibility between stability and curving is analyzed concerning those configurations and compared. The critical parameters influencing hunting stability and curving ability are evaluated, and a trade-off between them is analyzed. For the verification, the damped natural frequencies and mean square acceleration response (MSAR) of the mathematical model are analyzed with the same determined from the finite element model and experimental test, respectively. The results determined from mathematical and finite element simulation and experimental tests are found to be similar; therefore, the formulated mathematical model is verified.
Sharma, Rakesh ChandmalSharma, Sunil KumarPalli, SrihariRallabandi, Sivasankara RajuSharma, Neeraj
One challenge for autonomous vehicle (AV) control is the variation in road roughness which can lead to deviations from the intended course or loss of road contact while steering. The aim of this work is to develop a real-time road roughness estimation system using a Bayesian-based calibration routine that takes in axle accelerations from the vehicle and predicts the current road roughness of the terrain. The Bayesian-based calibration method has the advantage of providing posterior distributions and thus giving a quantifiable estimate of the confidence in the prediction that can be used to adjust the control algorithm based on desired risk posture. Within the calibration routine, a Gaussian process model is first used as a surrogate for a simulated half-vehicle model which takes vehicle velocity and road surface roughness (GD) to output the axle acceleration. Then the calibration step takes in the observed axle acceleration and vehicle velocity and calibrates the Gaussian process model to best fit this data. The final result is the posterior distribution of the road surface roughness. To train the Gaussian process model, the half-vehicle model is used to collect vertical axle acceleration data over a range of velocities and road surface roughness levels using Latin Hypercube sampling. The Bayesian-based calibration method was then implemented in the loop with a Simplex controller to update the velocity limits based on the predicted road surface roughness. To demonstrate the effectiveness of the control algorithm, a stochastically generated surface with different regions of varying road roughness was utilized to test the algorithm’s ability to characterize road roughness in real-time, thus showcasing the Simplex control strategy that enhances safety in AV operation. The proposed algorithm has the potential to mitigate the risks associated with road surface roughness, ensuring a safer and more efficient operation for AVs.
Lewis, EdwinaParameshwaran, AdityaRedmond, LauraWang, Yue
During a pitch-over event, the forward momentum of the combined bicycle and rider is suddenly arrested causing the rider and bicycle to rotate about the front wheel and also possibly propelling the rider forward. This paper examines the pitch-over of a bicycle and rider using two methods different from previous approaches. One method uses Newton’s 2nd Law directly and the other method uses the principle of impulse and momentum, the integrated form of Newton’s 2nd Law. The two methods provide useful equations, contributing to current literature on the topic of reconstructing and analyzing bicycle pitch-over incidents. The analysis is supplemented with Madymo simulations to evaluate the kinematics and kinetics of the bicycle and rider interacting with front wheel obstructions of different heights. The effect of variables such as rider weight, rider coupling to the bicycle, bicycle speed, and obstruction height on resulting kinematics were evaluated. The analysis shows that a larger momentum requires a higher obstruction to arrest that momentum and results in a pitch-over event. The Madymo findings are correlated to the predicted kinematics from the two numerical methods. These analytical models provide tools when Madymo software is not available. Validation of these models is explored using Madymo.
Brach, R. MatthewKelley, MireilleVan Poppel, Jon
Brake-by-wire systems have received more and more attention in the recent years, but a close look on the available systems shows, that they have not reached full by-wire level yet. Most systems are still using hydraulic connections between main cylinder and the brake calipers on at least one axle to ensure functional safety. Mostly, this is the front axle, since the front brakes have to convert more kinetic energy during braking manoeuvers. Electromechanical actuators are currently used for rear brakes in hybrid brake-by-wire applications solely, since a loss of the front brake calipers can lead to severe conditions and control loss of the vehicle during braking. Further, the higher mass of battery electric vehicles (BEVs) leads to much higher braking forces on both axles and to increased sizes of the electromechanical calipers. This article presents a concept for a brake-by-wire system for battery electric vehicles, which features electromechanical brake actuators on all corners and a redundant system architecture. Theoretically, the proposed system is capable to generate a braking intensity up to 70% for vehicles with a total mass of approximately 2.8 tons. Besides mechanical design of the actuator, the power electronics are taken into account too and their behavior is investigated through dedicated simulation.
Heydrich, MariusLenz, MatthiasIvanov, ValentinStoev, JulianLecoutere, Johan
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
As a crucial tool for lunar exploration, lunar rovers are highly susceptible to instability due to the rugged lunar terrain, making control of driving stability essential during operation. This study focuses on a six-wheel lunar rover and develops a torque distribution strategy to improve the handling stability of the lunar rover. Based on a layered control structure, firstly, the approach establishes a two-degree-of-freedom single-track model with front and rear axle steering at the state reference layer to compute the desired yaw rate and mass center sideslip angle. Secondly, in the desired torque decision layer, a sliding mode control-based strategy is used to calculate the desired total driving torque. Thirdly, in the torque distribution layer, the optimal control distribution is adopted to carry out two initial distributions and redistribution of the drive torque planned by the upper layer, to improve the yaw stability of the six-wheeled lunar rover. Finally, a multi-body dynamics simulation platform for the six-wheel lunar rover is built using the open-source multi-physics simulation engine Chrono, exploring its dynamic behavior in soft ground conditions. Various operating scenarios are tested to verify the effectiveness, reliability, and safety of the designed coordinated control strategy. This research provides a reference for the design and control strategies of lunar rovers in future lunar exploration missions and offers guidance for the design and motion control of extraterrestrial planetary surface exploration vehicles.
Liu, PengchengZhang, KaidiShi, JunweiYang, WenmiaoZhang, YunqingWu, Jinglai
In future planetary exploration missions, the Eight-Wheeled Planetary Laboratory (EWPL) will have sufficient capacity for tasks but will experience significant lateral slips during high-speed turns due to its large inertia. Modern technology allows for independent steering of all eight wheels, but controlling each wheel's steering angle is key to improving stability during turns. This paper introduces a novel rear-axle steering feed-forward controller to reduce sideslip. First, a mathematical model for the vehicle's steering is established, including kinematic equations based on Ackermann steering. Feed-forward zero side-slip control is applied to the third and fourth axles to counteract the side-slip angle of the center of mass. A multi-body dynamics model of the EWPL is then built in Chrono to evaluate the turning radius and optimize steering angle ratios for the rear axles. Finally, a steady-state cornering simulation on loose terrain compares the performance of the proposed controller with a 100% Ackermann steering strategy at various speeds. The results confirm the controller's effectiveness in improving high-speed steering stability on the planet's surface.
Liu, JunZhang, KaidiShi, JunweiYang, WenmiaoZhang, YunqingWu, Jinglai
The half vehicle spindle-coupled multi-axial input durability test has been broadly used in the laboratory to evaluate the fatigue performance of the vehicle chassis systems by automotive suppliers and OEMs. In the lab, the front or rear axle assembly is usually held by fixtures at the interfaces where it originally connects to the vehicle body. The fixture stiffness is vital for the laboratory test to best replicate the durability test in the field at a full vehicle level especially when the subframe of the front or rear axle is hard mounted to the vehicle body. In this work, a multi-flexible body dynamics (MFBD) model in Adams/Car was utilized to simulate a full vehicle field test over various road events (rough road, braking, steering). The wheel center loads were then used as inputs for the spindle coupled simulations of the front axle with a non-isolated subframe. Three types of fixtures including trimmed vehicle body, a rigid fixture with softer connections and a rigid fixture with stiffer connections are considered in the front axle simulations. The strain response on the chassis structural components is compared from the full vehicle on-field simulation to the half vehicle on-rig simulations. Results indicate that the trimmed vehicle body test is similar to the full vehicle test in strain response only for some components and events. The impact of the boundary difference (inertia-reacted in full vehicle test verses fixed-reacted half vehicle test) is substantial. It was also found that there were minor differences in strain response among the two types of rigid fixtures for most of the cases. It is concluded that the fixture stiffness impact is relatively minor if they are not able to exactly match the vehicle body stiffness. The study provides valuable insights for engineers to select the appropriate fixtures for the half vehicle spindle coupled multi-axial durability test.
Gao, JianghuaSmith, DerekZhang, XinYu, Xiao
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
The introduction of autonomous truck platoons is expected to result in drastic changes in operational characteristics of freight shipments, which may in turn have significant impacts on efficiency, energy consumption, and infrastructure durability. Since the lateral positions of autonomous trucks traveling consecutively within a lane are fixed and similar (channelized traffic), such platooning operations are likely to accelerate damage accumulation within pavement structures. To further advance the application of truck platooning technology in various pavement environments, this study develops a flexible evaluation method to evaluate the impact of lateral arrangement within autonomous truck platoons on asphalt pavement performance. This method simplifies the impact of intermittent axle load applications along the driving direction within a platoon, supporting platoon controllers in directly evaluating pavement damage for different platoon configurations. Specifically, a truck platoon axle load lateral distribution function is proposed to characterize the cumulative damage effects of the platoon on the pavement, enabling the analysis of rutting performance and longitudinal tensile stress at the bottom layer under varying platoon offset values and distribution patterns. Case study analyses demonstrate the application of this evaluation method, validating its feasibility. The results reveal that the uniform offset lateral distribution scheme causes less structural damage to the pavement. When wheel path overlap is minimized and a tighter wheel path distribution is achieved, it can effectively reduce pavement structural damage.
Wenlu, YuYe, QinChen, DaoxieMin, YitongChen, Leilei
This SAE Recommended Practice covers passive torque biasing axle and center differentials used in passenger car and light truck applications. Differentials are of the bevel gear, helical gear, and planetary types, although other configurations are possible.
Drivetrain Standards Committee
This study focuses on machining automobile parts such as drive shafts and axles made of low alloy steel AISI 4140. The influence of cutting inserts geometrical parameters, viz., relief angle (RIA), rake angle (RAA), and nose radius (NA) are studied by designing experiments using Taguchi’s methodology. Numerical simulation is conducted using DEFORM-2D; a suitable L9 orthogonal array (OA) is considered for this work for varying combinations of inputs, and the resultant cutting force, maximum principal stress, and tool life are determined. Adopting a signal-to-noise (S/N) ratio minimizes the outputs for better machining conditions and achieves high-quality components with precision, tolerance, and accuracy. The ideal conditions obtained from the S/N ratio are RAA of 6°, RIA of 3°, and NR of 0.6 mm. Analysis of variance presents that the NR influences the resultant cutting force, wear depth, and work piece damage 73.51%, RAA following by 23.99%, and RIA by 2.03% achieved with a R2 value of 99.53%.
Senthilkumar, N.
Born Electric SUVs generally feature a high centre of gravity (CG) with greater rear axle weight. They use sophisticated multi-link suspension, which offers large scope for ride comfort and handling optimisation. The development costs and time associated with the process will position the vehicle in a premium segment. Usually, the twist beam (RTB) is used in lower rear axle weight category vehicles due to its simple design and cost effectiveness. This study showcases exploration for implementation of RTB on higher weight category vehicles, which usually uses multi-link suspension. The limitation of the twist beam is to exhibit lateral force compliance oversteer during cornering, due to large moment arm from wheel centre to twist beam bush. Lack of lateral stiffness when compared to multi-link suspension causes delayed rear axle yaw response. It also has reduced scope in ride-handling optimization due to its simple structure and kinematics. So, in order to maximize the performance envelope, system level key performance parameters were identified such as lateral force shear centre, vertical shear centre position, side view swingarm position and length. The parameters such has cross beam position and profile were explored along with bush orientation and stiffness characteristics. Sensitivity studies on the RTB design attributes were performed on multi-body dynamics tool to meet targeted performance metrics. The results showcase that the combination of unique cross beam profile along its position provides significant potential for enhancement of rear axle performance. There by providing us key parameters to overcome the limitations of twist beam architecture to meet the platform targets.
Prabhakara Rao, VageeshRasal, ShraddheshAsthana, ShivamM, SudhanVellandi, Vikraman
Honda has long been at the cutting edge of mobility and tech, with everything from the Asimo robot of 20 years ago to plans for reusable rockets to launch lightweight satellites into orbit. During a Tech Day event in early October in Tochigi, Japan, the Japanese automaker announced further details of its upcoming Honda 0 architecture (Honda calls it “Honda Zero” but writes it with the number), its first in-house electric platform designed from the ground up. Honda also discussed some of the advanced manufacturing techniques it's pioneering to reach its core design and technology tenants.
Bassett, Abigail
Torsional vibration generated during operation of commercial vehicles can negatively affect the life of driveline components, including the transmission, driveshafts, and rear axle. Undesirable vibrations typically stem from off-specification parts, or excitation at one or more system resonant frequencies. The solution for the former involves getting the system components within specification. As for the latter, the solution involves avoiding excitation at resonance, or modifying the parameters to move the system’s resonant frequencies outside the range of operation through component changes that modify one, or more, component inertia, stiffness, or damping characteristics. One goal of the effort described in this article is to propose, and experimentally demonstrate, a physics-based gear-shifting algorithm that prevents excitation of the system’s resonant frequency if it lies in the vehicle’s range of operation. To guide that effort, analysis was conducted with a numerical simulation model incorporating nonlinear driveline dynamics resulting from engine operation (including misfire and cylinder deactivation), excitation from multiple universal joints, the transmission, and a vehicle speed feedback controller, a contribution the authors have not seen in the pre-existing literature. The experimentally validated simulation results demonstrate that the torsional oscillating mode corresponding to the torque converter or turbine exhibits sensitivity to clutch activation, and variations in system parameters. Consequently, variation in system parameters alters the natural frequency of the system, potentially aligning it with the vehicle’s operational frequency range in specific gear ranges. Experimental on-road tests, described here, demonstrate that for the truck-under-test one of the natural frequencies of the system is within the range of operation for gears 4, 5, and 6 for certain vehicle speeds. Resonance in these gears was successfully prevented, and experimentally demonstrated, by using the proposed algorithm without sacrificing the performance of the vehicle.
Dhamankar, ShvetaAli, JunaidParshall, EvanShaver, GregoryEvans, JohnBajaj, Anil K.
Items per page:
1 – 50 of 1217