Browse Topic: Vehicle performance

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Analysis Techniques for Racecar Data Acquisition [mms update 07.03.25]R-367To be published on 03/22/2099
Data acquisition has become an invaluable tool for establishing racecar - and car/driver - performance. Now that the ability exists to analyze each and every performance parameter for car and driver, accurate use of this data can provide a key advantage on the racetrack. This book provides a thorough overview of the varied methods for analyzing racecar data acquisition system outputs, with a focus on vehicle dynamics.
Segers, Jorge
Indian City Electric Bus Powertrain Optimization Using Active Learning Simulation Methodology2026-26-0657To be published on 01/16/2026
Public transport electrification is going to play a massive role in India's COP26 pledge to achieve net zero emissions by 2070. India plans to electrify 800,000 buses in a push towards 30% EV penetration by 2030. Further encouraged by government incentives under National Electric Bus Program (NEBP), eBus market is expected to grow at a CAGR of ~86% annually over the next 5 years. With most OEMs going for fleet electrification for reducing CO2 emissions and to cater to growing demand in Indian cities for cleaner public transport, improving powertrain efficiency and performance of state-of-the-art eBuses is a natural progression of e-mobility sector development in India. The first step in designing powertrain for an electric city bus is to determine the motor(s) size and transmission specifications (number of gears, gear ratios etc.). Complications arise due to a wider and non-linear operation range of eBus. This study focuses on powertrain optimization for a medium duty electric city
Emran, Ashraf, Berry, Sushil, Xia, Feihong, Chen, Bicheng, Sandhu, Rouble
Revolutionary EV Motors Innovation in E-mobility in Depth Analysis of Emerging Technologies, Comparative Insights & Their Ground Breaking Impact on Electric Vehicle Performance2026-26-0073To be published on 01/16/2026
This paper delivers a forward-looking data-driven assessment of the transformative innovation in electric vehicle motor systems with targeting breakthroughs in the power density, energy efficiency, thermal robustness, manufacturability & better intelligent control. A rigorous Multi Criteria Decision Making (MCDM) framework is done to systematically evaluate and defining the rank of emerging motor technologies across eight weighted performance indicators. The findings reveal that which design strategies & material advancements offering the greatest potential for redefine propulsion performance that enabling lighter more compact & more efficient drivetrain capable of sustained high power operation. High ranking solution exhibit strong alignment with the industry's push toward scalable, low cost & rare earth-independent systems while other are identified as high risk/high reward pathway requiring targeted research to overcome critical problems. By integrating engineering performance
Jain, Gaurav, PREMLAL, P, Pathak, Rahul, Gore, Pandurang
Driving behavior modelling with Graph Attention Networks using spatial data2026-26-0661To be published on 01/16/2026
In automotive engineering, understanding driving behavior is crucial for decision on specifications of future system designs. This study introduces an innovative approach to modeling driving behavior using Graph Attention Networks (GATs). By leveraging spatial relationships encoded in H3 indices, we construct a graph-based model that captures dependencies between various vehicle operational parameters and their operational regions using H3 indices. The model utilizes CAN signal features such as speed, fuel efficiency, engine temperature, and categorical identifiers of vehicle type and sub-type. Additionally, regional indices are incorporated to enrich the contextual information. The GAT model processes these heterogeneous features, learning to identify patterns indicative of driving behavior. This approach offers several significant advantages. Firstly, it enhances the accuracy of driving behavior modeling by effectively capturing the complex spatial and operational dependencies
Salunke, Omkar
Design optimization of the propeller shaft and transfer case for high-speed 4WD vehicles2026-26-0343To be published on 01/16/2026
Nowadays, vehicle enthusiasts often vary their driving patterns, ranging from driving at very high speeds to off-roading. Due to these driving patterns, 4WD vehicle demand is continuously growing day by day. A 4WD vehicle used to have better traction control with enhanced stability. The 4WD vehicle performance and reliability at high speed are critically influenced by driveline stiffness and natural frequency. Driveline stiffness and natural frequency are very critical parameter for high-speed vehicles, that significantly influenced by the propeller shaft and transfer case. This study focuses on the design optimization of the transfer case and critical frequency of propeller shafts to enhance vehicle performance at high speeds. The analysis begins with a comprehensive study of the factors affecting power transfer path, transfer case stiffness, critical frequency, including material properties, propeller shaft geometry and the boundary conditions. Advanced computational methods are
Kumar, Sarvesh, Yadav, Sahdev, S, Manickaraja, Sanjay, L, Kanagaraj, Pothiraj, Jain, Saurabh Kumar, Deole, Subodh M
Design Robustness of Electronic Locking Differential for enhanced off-road performance2026-26-0502To be published on 01/16/2026
The Electronic Locking Differential (ELD) is a critical component for enhancing off-road vehicle performance by ensuring optimal traction in challenging terrains. This paper addresses intermittent engagement issues observed in the ELD system during off-road trials, which impacted its reliability and functionality. It presents a comprehensive study of design robustness improvements implemented to resolve these concerns and optimize the ELD’s performance, ensuring enhanced customer satisfaction in demanding off-road environments. The analysis begins with identifying factors contributing to the intermittent engagement and disengagement of the ELD system upon actuation. These factors include residual magnetism, material properties, temperature effects, and the stack-up characteristics of transfer path components under various boundary conditions. To address these challenges, three key design modifications were introduced: (1) reduction of residual magnetism through an increased air gap
S, Mohd Imtiaz, AP, Baaheedharan, Ghumare, Dheeraj, Kanagaraj, Pothiraj, Jain, Saurabh Kumar
The selection of a two-speed gearbox for small commercial electric vehicles aims to optimize powertrain efficiency2026-26-0417To be published on 01/16/2026
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 Range, performance, drivability, packaging, total cost of ownership of vehicle and comfort. In addition, powertrain configuration including battery, motor and transmission ratio selection plays a fundamental role in cost of electric vehicle. Hence, The task of selecting the right powertrain configuration, encompassing architecture, motor selection
Wani, Kalpesh, Jadhav, Vaibhav, Shendge, Raman, Warule, Prasad
Impact of Electric Exhaust Heater Power Electronics unit (EHPE) and Energy Storage Systems on Economy and Performance of Heavy-Duty Mild Hybrid Vehicles2026-26-0184To be published on 01/16/2026
With stringent emission norms enforced by governments and public authorities, advancements in internal combustion (IC) engine-based vehicles have become crucial. Cold starts and low-temperature combustion contribute significantly to vehicle emissions and need to be addressed to comply with upcoming stringent emission norms. An electric exhaust heater is known to reduce emissions by maintaining optimal exhaust temperature. For efficient energy management, exhaust heaters are typically powered by an onboard Energy Storage System (ESS), charged by electric machines. These electric machines in hybrid architecture provide efficient energy management by utilizing the recuperated braking energy of vehicles. However, the addition of a 48V hybrid system increases overall vehicle weight, and the vehicle effectiveness depends significantly on the vehicle application and ESS type used. The focus of this study is to investigate the impact of mild hybrids on fuel economy and performance for
Sadaraboina, Vidyasagar, Mehta, Kavish, Patil, Lalit Murlidhar, Busdiecker, Matthew, Karrer, Ben
Analysis and identification of discrepancies between test data and simulation results using an automated EV range analysis tool2026-26-0470To be published on 01/16/2026
With growing consumer interest in electric vehicles due to their advantages over traditional internal combustion engine cars, including instant torque and enhanced safety, comprehensive testing of these vehicles has become crucial. Engineers are faced with the challenge of managing the large amounts of data generated during testing. This work aims to develop an automated framework for data processing and simulation of on-road test data and generate reports to monitor inconsistencies. To achieve this, range tests were conducted across various regions and each test data was processed using the EV range analysis tool to check for inconsistencies if any. It was observed that there was a mismatch between the tested and simulated range at expressways. This was due to the unrealistic extrapolation of the vehicle’s coastdown forces above 120 kmph. Hence, tests were conducted to measure the coastdown forces of the vehicle above 120 kmph which was then used in simulation to estimate the range
S, VIVEK, T, LAKSHMI PRASAD BEKAL, Krishnan, Karthikeyan N.
Optimization of Battery Mixing Strategies to Enhance Electric Vehicle Performance and Efficiency2026-26-0209To be published on 01/16/2026
Fleet operators increasingly contend with a patchwork of battery‑pack generations that remain electro‑chemically compatible yet differ markedly in capacity, internal resistance and residual life. Conventional “like‑for‑like” replacement policies oblige service providers to retain costly legacy inventories or to install brand‑new packs in ageing vehicles—both scenarios inflating warranty exposure and material waste. Deploying a rational mixing strategy for packs of different vintages therefore offers a compelling path to lower costs and improve sustainability, but industry‑wide guidance is limited and confidence in performance impacts remains low. This paper presents an optimisation‑driven framework that determines when and how heterogeneous packs can be paired at the moment of integration while maintaining vehicle performance targets and minimising life‑cycle cost. The methodology combines: a physics‑based electro‑thermal performance model parameterised for discrete state‑of‑health
Nair, Sandeep R., Ravichandran, Balu Prashanth, Hallberg, Linus
Simulation Research on Torque Vectoring, Braking, Chassis control Strategies for Electric & hybrid Vehicles using System Simulation2026-26-0423To be published on 01/16/2026
Electric Vehicles and Plug-in Hybrids alleviate the energy crisis but pose a unique challenge for vehicle dynamics. Though significant developments in motor control strategy and energy density management are evolving, we face significant challenges in Torque Management with several ADAS features being integral part of the EV's/xHEV's. It demands high-fidelity physical and control model exchanges between electric-chassis, ride-handling, tire modelling, Steering Assist, powertrain and validate using 0D-1D platform. This paper explicates a unified strategy for improving overall vehicle performance by intelligently distributing and coordinating drive torque to enhance traction, stability, and drivability across diverse operating conditions through the co-simulation. Co-Simulation platform includes physical models in AMESIM, and control strategies integrated in MATLAB/Simulink. The platform features comprehensive representations of digital vehicle that requires detailed modelling of
Eruva, Patrickxavier, Sarapalli Ramachandran, Raghuveeran, Chougule, Sourabh, Natanamani-Pillai, Siva Subramanian, Scheider, Clement, Leclerc, Cedric, Natarajasundaram, Balasubramanian
Brake Judder Resolution through Experimental Testing2026-26-0587To be published on 01/16/2026
Brake judder is a critical concern in modern automotive systems, impacting both vehicle performance and passenger comfort. This phenomenon manifests as undesirable vibrations during braking, often caused by various factors such as vehicle architecture, different wheelbase, brake design considerations, load distribution, suspension characteristics etc. These vibrations not only compromise braking efficiency but also affect the overall driving experience, making it a priority issue for automotive engineers and researchers. This paper investigates the root causes of brake judder in a M3 Bus category vehicle having pneumatic brake system, focusing on its mechanical aspects and operational dynamics. By employing a combination of experimental testing and analytical evaluations, the study delves into the influence of brake torque generation and its consumption during vehicle deceleration for different wheelbase vehicles having similar brake system, revealing discrepancies that contribute to
Mundkar, Rameshwar, Shete, Rahul, Nayak, Nihar, Gavade, Sarjerao
Optimization of Propeller shaft design to eliminate Launch Undulation (Lateral shake) and Vibration level2026-26-0334To be published on 01/16/2026
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, L, S, Manickaraja, Kumar, Sarvesh, Kanagaraj, Pothiraj, Senthil Raja, T, B, Prem Prabhakar, M, Kiran
Integrated Powertrain Domain Controller Using Wide Band Gap Devices For EV Applications2026-26-0055To be published on 01/16/2026
The rapid evolution of electric vehicles (EVs) has amplified the demand for highly integrated, efficient, and intelligent powertrain architectures. In the current automotive landscape, EV powertrain systems are often composed of discrete ECUs such as the OBC, MCU, DC-DC Converter, PDU, and VCU, each operating in isolation. This fragmented approach adds wiring harness complexity, control latency, system inefficiency, and inflates costs making it harder for OEMs to scale operations, lower expenses, and accelerate time-to-market. This paper addresses the core issue of fragmented control architectures in EV powertrains by proposing an integrated domain controller-based solution for EV powertrain. The technical gap lies in the absence of a centralized intelligence capable of seamlessly managing and synchronizing the five key powertrain aggregates: OBC, MCU, DC-DC, PDU, and VCU under a unified software and hardware platform. This fragmentation leads to redundancy in computation, increased
Kumar, Mayank, Deosarkar, Pankaj, Inamdar, Sumer, Tayade, Nikhil
Representative Drive cycle velocity profiles Prediction using ML Algorithms for Energy Efficiency2026-26-0638To be published on 01/16/2026
Maximizing vehicle energy efficiency and performance is a high priority for the automotive industry as customer expectations rise. Engineers constantly face the challenge of balancing the conflicting goals of achieving superior performance and maximizing energy efficiency, all while meeting increasingly tight development timelines. Leveraging digital methods can potentially enable a considerable reduction in development lead times. Driving cycles act as standardized measurement procedures for certifying a vehicle's fuel efficiency and driving range. Representative velocity profiles condense numerous real-life driving cycles to enable quicker energy analysis and driver feedback evaluation. This paper introduces a novel methodology for generating synthetic drive cycles, such as average velocity cycles and ideal consumption velocity cycles, based on real-life driving scenarios. In this study, the importance of creating representative drive cycles to enhance vehicle performance and energy
Kanakannavar, Rohit, Kelkar, Kshitij, Sadalge, Anand
Enhancing Range Prediction Accuracy for the BEV: Bridging the Gap Between Simulation and Real-World Testing2026-26-0521To be published on 01/16/2026
Accurate range estimation in battery electric vehicles (BEVs) is essential for optimizing performance, energy efficiency, and customer expectations. This study investigates the discrepancies between physical test data and simulation predictions for the Jeep Wagoneer model. A detailed range delta analysis identifies key contributors to the observed deviations, including regenerative braking inefficiencies, increased propulsion demand, auxiliary loads, and estimated drivetrain losses within the Electric Drive Module (EDM) during traction and regen. Results indicate that the test vehicle exhibits lower regenerative braking efficiency and higher traction and lower regen consumption than predicted by simulations, primarily due to EDM inefficiencies and friction brake usage during regeneration. The study underscores the importance of refining simulation methodologies by integrating real-world, test based EDM loss maps to improve accuracy and better align predictive models with actual vehicle
ali, Shoaib, Mahajan, Prasad
Determination of part tolerances for reduced variation in suspension level performance by using Multi-objective Robust Design Optimization (MORDO)2026-26-0381To be published on 01/16/2026
Competition in automotive industry is fierce and manufacturers must meet the needs of their costumers to maintain or increase their market. It is important for Original Equipment Manufacturers (OEMs) to create affordable vehicles with better driving experiences, comfort for occupants and safety for costumers. Suspension architecture plays critical role in vehicle ride, handling and stability behavior and is directly connected with driving experience. Incorrectly positioned hardpoints can significantly affect the performance of a vehicle. Consequently, recommended tolerances for suspension hardpoints positioning are made to avoid deterioration of Kinematics and Compliance (K&C) parameters. Therefore, part level tolerance design is critical in vehicle development to minimize production cost and reduce vehicle performance deviation. In present paper, Multi-objective Robust Design Optimization (MORDO) has been adopted to determine the maximum acceptable part tolerance values without
Pathak, Jugal, Ganesh, Lingadalu
E-drive System Selection Criterion for Hybrid Electric Heavy Commercial Vehicles Segments2026-26-0467To be published on 01/16/2026
Automotive industry expediting progress toward electrification since climate change driven by global warming represents a significant environmental challenge with far-reaching implications. While electric vehicles offer considerable potential for mitigating CO₂ emissions, their elevated upfront costs pose a notable challenge to large-scale market penetration. Hybrid electric vehicles can serve as an effective intermediary solution, bridging the gap between conventional internal combustion engine vehicles and fully electric vehicles, owing to their comparatively lower initial costs. Hybrid electric vehicle component selection is a complex process which has to fulfil multiple requirements fuel economy, performance, drivability, packaging, total cost of ownership of vehicle and comfort. In addition, Hybrid configuration selection also plays a vital role in cost of hybrid electric vehicle. Hence, it is a great challenge to select right powertrain configuration including architecture
Shendge, Raman, Jadhav, Vaibhav, Wani, Kalpesh, Warule, Prasad
A Comprehensive Analysis of Sealing Methods for EV Battery Packs: Trends and Insights.2026-26-0180To be published on 01/16/2026
The widespread adoption of electric vehicles (EVs) has brought about unique engineering challenges, particularly in the design of battery packs, which are central to vehicle performance, safety, and longevity. One critical requirement is maintaining ingress protection (IP) ratings of IP67 or higher to safeguard against water and dust exposure. These ratings are essential to ensure compliance with homologation standards and to meet the demands of diverse terrains and operating conditions. Achieving effective sealing of EV battery packs is thus a key aspect of their design and engineering. This study presents an in-depth analysis of sealing technologies employed in EV battery packs, focusing on four primary types: Adhesive-based sealants, Cure-In-Place Gaskets (CIPG), Foam Cut seals, and Rubber Gaskets. Benchmarking data gathered from more than 90 vehicle models across 20+ brands provide insights into adoption trends, historical shifts, evolution and interface requirements of different
Varambally, Vishakha, Sithick basha, Abubakker, Chalumuru, Madhu, Yaser, K U Syed, Sasikumar, K
All New 1.2L Turbocharged Gasoline Direct Injection Engine from Tata Motors2026-26-0071To be published on 01/16/2026
A continuous stress on meeting stringent emissions regulations alongside rising consumer expectations for enhanced driving performance and refinement on powertrain applications on passenger cars. To address this customer aspirations Tata Motors has engineered the advanced 1.2L 3-cylinder turbocharged gasoline direct injection engine HYPERION. This next-generation powertrain is designed to maximize efficiency, lower emissions and deliver superior performance with improved noise, vibration, and harshness (NVH) characteristics. Key innovations includes highly optimized fuel injectors injector operating at 35 MPa, CVO-3 (3rd Gen Controlled Valve Operation), Miller Cycle with Electrically actuated VGT turbocharger and an AI-enabled engine management system, which collectively enhances efficiency and performance. The exhaust after-treatment system incorporates a Three-Way Catalyst (TWC) and an integrated Four-Way Conversion Catalyst (FWC+TM) for efficient emission control. The BS6 phase 2
Hosur, Viswanatha, Ghadge, Ganesh Narayan, Joshi, Manoj, Jadhav, Aashish, Panwar, Anupam
Drive Cycle Type Identification Using Data Driven Methodologies2026-26-0649To be published on 01/16/2026
Identifying the type of drive cycle is crucial for analyzing customer usage and optimizing vehicle performance and emission control. Methods that rely on geographical location 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 others) 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 experiences. These features, which can be extracted from basic signal data, include gear shifts, time spent in different driving modes (acceleration, cruise, standstill), velocity distributions, and an 'aggressiveness factor' representing overall driving style. Using ML based
REDDY, MALLANGI PRASHANTH, Gorain, Raju, Ganguly, Gourav
Failure Investigation and Geometric Optimization of Torsional Vibration Damper for Enhanced Durability and Noise Reduction in Automotive Drivetrain Systems2026-26-0350To be published on 01/16/2026
Internal Combustion engines exhibit multi-order vibrations caused by the inertial forces of reciprocating masses. These vibrations induce drivetrain resonance, negatively impacting occupant comfort and the durability of drivetrain components. Torsional vibrations, a critical subset of these oscillations, demand efficient damping mechanisms. Torsional Vibration Dampers are instrumental in minimizing such vibrations by tuning mass and frequency characteristics to prevent resonance. By splitting resonant frequencies into avoidable zones within the engine's operational range, TVD enhance vehicle performance and refinement by dampening the vibrations. Structurally, TVD comprise an inertia ring integrated with a damping medium, such as vulcanized rubber, which attenuates torsional oscillations by permitting controlled oscillation of the inertia ring. This study focuses on the failure investigation and the geometric optimization of oscillating masses of TVD for performance and durability
WANI, SUJIT ASHOK, S, Manickaraja, Kanagaraj, Pothiraj, Senthil Raja, T, Vellandi, Vikraman, Patil, Dilip
Methodology for optimizing the bench testing of Steering I shaft using vehicle level data to reduce overall product development time and cost.2026-26-0560To be published on 01/16/2026
Steering I-shaft with rubber coupling (or hardy disc) is an important part of complete steering system mainly in body on frame vehicles. Hardy discs are used to dampen the vibrations that transmit to steering wheel through frame, steering gear and I-shaft. They also support to accommodate the variation between frame and BIW of body on frame vehicles. They are made up of rubber or other polymer composites, which have less torsional stiffness as compared to metals. The overall torsional stiffness of steering system reduces since the hardy disc is used in series in steering system, that impacts on the overall performance of steering system. So, during development I shafts with different design, stiffness of hardy discs are used to optimize the steering and NVH performance of vehicle. Considering the development time and cost, each design of I-shaft cannot be validated at vehicle level. The torsional and axial force or displacement of hardy disc is measured at vehicle level on different
Kabdal, Amit
Enhanced Integrated Cooling-Protection Plate for Battery pack Underbody Impact Resistance in Electric Vehicles2026-26-0169To be published on 01/16/2026
In the quest for enhancing electric vehicle performance and safety, this paper presents a comprehensive investigation into the design and performance of high-voltage (HV) battery cooling plates featuring dedicated cooling channels, integrated with structural bottom protection members positioned at the bottom. The study aims to address the dual challenges of effective thermal management and enhanced crash protection in electric vehicles. Through a combination of Design iterations, Thermal performance evaluation and Crash simulations, the research evaluates the cooling efficiency and structural resilience of the proposed design. Findings reveal that the integrated cooling plates not only maintain optimal battery temperatures under various operating conditions but also significantly improve the vehicle's crashworthiness. The paper concludes with the results of numerical simulations, rigorously validated against the robust design requirement globally accepted for series components to
DUSAD, SAGAR, Kummuru, Srikanth, Joshi, Amarja
A methodology to evaluate steering performance using Hardware in Loop Testing2026-26-0544To be published on 01/16/2026
In the present generation, steering system plays a major role in vehicle performance and factors like vehicle stability and control. This is because it is a direct interface to the driver. But to tune the steering system to the required standard, it takes several months for an OEM. This increases the lead time and development cost. Steering test benches have been increasingly popular in the recent automobile development process as they offering great advantages. They offer high level of control over system parameters which helps tune the performance of a steering system, especially for the perception of steering feel while driving. There are various steering test benches being developed to solve concerns that OEMs are facing while tuning and validating. A new methodology is defined involving the Steering Test Bench which can perform Hardware in Loop (HIL) and Driver in Loop (DIL) simulations. The objective of this paper is to establish correlation between Vehicle level & Virtual level
Agarwal, Gourav, Rajput, Srijan, Rasal, Shraddhesh, ahire, Manoj, Naidu, Kethireddi, Kumar, Deva, Prusty, B Rabi
Multi Speed – Multi Motor Torque Vectoring Control for a Commercial Electric Truck to Enhance Drivability and Performance.2026-26-0058To be published on 01/16/2026
This paper explores the requirement of multi speed – multi motor torque vectoring in a battery electric commercial truck. The area of focus was to compare the vehicle performance and range of a BEV truck with conventional central drive single motor configuration with the same vehicle consisting of a multi speed – multi motor torque vectoring control strategy. Through this exercise, we have analyzed the motor power and torque requirements to meet the vehicle performance along with the required reduction ratios. A Matlab based vehicle model is used to simulate the effect of multi motor operation on the vehicle range. Also simulated the effect of torque vectoring control algorithm on the vehicle performance like steady state cornering, vehicle stability and turning circle diameter.
Pethkar, Shivanand, S, Srivatsa, Ghosh, Sandeep
Development of a New Methodology for Measuring the Dimensions of Lighting Components in Construction Equipment Vehicles (CEVs) as per IS/ISO 12509:2004 using 3-Dimensional Planar Laser.2026-26-0145To be published on 01/16/2026
The light and light signalling devices installation test as per ISO 12509:2004 for Earth Moving Machinery / Construction Equipment Vehicles (CEV’s) is a mandatory test to ensure the safety of both road users and operators. Considering the shape and size of CEV’s, accurate measurement of lighting installation requirements is crucial for ensuring safety and regulatory compliance. The international standard ISO 12509:2004 specifies detailed criteria for these installations, including precise dimensional measurements of lighting components to guarantee optimal visibility and safety. Considering shape and Size of CEV’s, the accurate measurement of lighting installation requirements is crucial for regulatory compliance. ISO 12509:2004 outlines specific criteria for these installations requirements of lighting components, including the precise measurement of various dimensions to ensure optimal visibility and safety. Among these dimensional requirements, the dimension 'E' i.e., the “distance
Ghodke, Dhananjay Sunil, Belavadi Venkataramaiah, Shamsundara, Tambolkar, Sonali Ameya
Digital Twin for Motor & MCU incorporating Deep learning AI-ML algorithms for intelligent prognostics for Electric vehicles2026-26-0479To be published on 01/16/2026
As electric vehicles (EVs) become more advanced, so ensuring the reliability of critical components like the motor and Motor Control Unit (MCU) is essential. This paper presents a digital twin model designed to predict failures in motor and MCU components using machine learning. The approach focuses on detecting early signs of failure through real-world data and advanced analytics. We collected thermal and performance data from field vehicles, capturing both normal (healthy) and abnormal (faulty) operating conditions. Using this dataset, we developed and trained an Auto Encoder-based machine learning model that learns what “normal” looks like and flags deviations as potential issues. One key outcome of this study is the successful early prediction of Insulated Gate Bipolar Transistor (IGBT) degradation, where the system identified subtle behavioral changes long before any visible failure symptoms appeared. This digital twin acts as a virtual replica of the physical components
Joshi, Pawan, Pandey, Suchit, KONDHARE, Manish, UPADHYAY, ABHAY, JaganMoahanarao, Vana, Tank, Prabhu
Advanced Thermal Management for High-Tonnage EVs: Increasing Coolant Flow and Reducing Energy Losses2026-26-0196To be published on 01/16/2026
With the increasing tonnage of electric heavy commercial vehicles, there is a growing demand for higher power and torque-rated traction motors. As motor ratings increase, efficient cooling of the EV powertrain system becomes critical to maintaining optimal performance. Higher heat loads from traction motors and inverters pose significant challenges, necessitating an innovative cooling strategy to enhance system efficiency, sustainability, and reliability. Battery-electric heavy commercial vehicles face substantial cooling challenges due to the high-pressure drop characteristics of conventional traction system cooling architectures. These limitations restrict coolant flow through key powertrain components and the radiator, reducing heat dissipation efficiency and constraining the operating ambient temperature range. Inefficient cooling also leads to increased energy consumption, impacting the overall sustainability of electric mobility solutions. This paper presents a novel approach to
DIXIT, SAMEER, Patil, Bhushan, Ghosh, Sandeep
Optimizing Powertrain Performance: A Customer Usage-Centric Approach2026-26-0067To be published on 01/16/2026
The optimization of new generation trucks is crucial for enhancing performance, efficiency, and compliance with regulatory standards. In the conventional product development, the manufacturer often optimises the powertrain to meet the stringent emission which might not account for the customer usage. This study uses the simulation-based approach that integrates customer usage with help of logged vehicle data across various applications, to develop a single engine platform equipped with multiple drivetrain options. Using a data driven approach, real-world usage pattern analysis is conducted to identify key performance metrics required to optimize the driveline components tailored to each application. Additionally, the impact of certification requirements on vehicle performance is examined to ensure compliance while maximizing the benefits of the proposed optimization strategies. The findings of this research will provide valuable insights for manufacturers and fleet operators, enabling
Mohan, Vignesh, Darzi, Mahdi
Contradictions of Automotive NVH with other Vehicle Performance and TRIZ tools for Innovative problem solving2026-26-0347To be published on 01/16/2026
For safety towards Automotive engineering often faces design contradictions, particularly in Noise, Vibration, and Harshness (NVH) optimization. Traditional approaches rely on trade-offs, but TRIZ (Theory of Inventive Problem Solving) offers a structured methodology to resolve contradictions innovatively. This paper explores in depth the TRIZ-based solutions for 2 key NVH challenges: (1) exhaust systems requiring noise reduction while maintaining low engine back-pressure, (2) engine mounts requiring both softness for vibration isolation and hardness for durability& vehicle stability. By applying principles such as segmentation, dynamization, parameter change, cheap short living objects or mechanics substitution, the novel solutions are proposed to achieve superior performance without traditional compromises. Tuneable valves in the path of the exhaust gas flow and the power-train mounting focused on its Torque Roll Axis were shown to exemplify the TRIZ problem solving effectiveness
A, Milind Ambardekar
System-Level Simulation to Design a Hydrogen Powered Refuse Collection Vehicle Based on Real-World Fleet Operational Data2026-26-0399To be published on 01/16/2026
This study, addresses one of the challenges in the energy transition of heavy-duty vehicles by converting a diesel Refuse Collection Vehicle (RCV) into a hydrogen-powered prototype. The research is part of the VeH2Dem project funded by NextGenerationEU and focuses on dimensioning the complete hydrogen propulsion system for a RCV, including the energy storage capacity, without compromising payload or operational functionality. The development of the propulsion system was based on a comprehensive analysis of operational data extracted from fleet management systems, complemented by detailed instrumental monitoring of various collection routes. This methodology ensured that the prototype maintained performance equivalent to the original internal combustion engine vehicle across all evaluated scenarios. The vehicle performance objectives were established following a comparative analysis with solutions currently available in the RCV market, incorporating statistical analyses to ensure
Cano, Pablo, Barrio, Roberto, Roche, Marina, de-Lima, Daniela, Batista, Sara, Bertolí, Xavier
SAE TOMORROW TODAY: What is the Future of the Car?1347508/27/2024
From autonomy to software to customization, the future of the car is multifaceted. As one of the world's largest suppliers in the automotive space, Magna International uniquely understands this. The company's capabilities span the entire vehicle -- from design to manufacturing to technology -- thus optimizing vehicle performance and shaping the future of the car. To learn more, we sat down with we sat down with Joerg Grotendorst, Senior Vice President, Corporate R&D, Magna, to discuss advancements in electrification and autonomy, innovative design features, and sustainable technologies -- and why a holistic approach to mobility is necessary.
Hineman, Marcie
Assessing the Potential of CBG as an Alternative Fuel: An Experimental Study on Vehicle Performance and Emissions in BS VI Compliant Three-Wheeler and Passenger Car2024-26-007601/16/2024
India's natural gas consumption reached 60.3 billion cubic meters (BCM) in the year 2022-23, with imports accounting for 44.2% of the total consumption. As India targets 15% of primary energy consumption from gas by 2030, the demand for natural gas is expected to grow significantly. In this context, CBG, which can reduce dependence on imported natural gas, has emerged as a viable alternative to CNG. The government's SATAT (Sustainable Alternative Towards Affordable Transportation) initiative encourages entrepreneurs to establish CBG plants and supply CBG to Oil Marketing Companies (OMCs) for use as automotive and industrial fuels. As of April 2023, 47 CBG plants have been set up, and 117 retail outlets in India are selling CBG as a transportation fuel. The quality requirements of CBG are governed by IS 16087, aligning with the specifications for automotive CNG defined in IS 15958. To assess the impact of CBG on vehicle performance and emissions, an experimental study was conducted
P, Sakthivel, Mittal, Neeraj, sinha, Prabhakar, Sithananthan, M, Maheshwari, Mukul
A Predictive Approach to Estimate Tyre Wear Characteristics2024-26-031301/16/2024
Tyre wear is a significant concern for the automotive industry due to multiple reasons that include vehicle performance, safety, economy, environmental (particulate matter emission) aspects, etc. Therefore, ensuring higher tyre tread wear resistance is one of the most important criteria while developing a new tyre. Tyre wear phenomenon is influenced by various factors, such as, road conditions, driving habits, maintenance practices and tyre design parameters (construction, geometry and material). The wear assessment through classical field-testing approach consumes significant time and resources. Therefore, digital predictive tools are very useful in predicting wear characteristics at the early stage of tyre development process. In this study, an attempt has been made to capture the impact of tread geometry, tread material, vehicle geometry, vehicle speed, test track geometry, etc. on tyre wear. A commercial finite element code, Abaqus was utilized for tyre structural simulation and
Bedi, Vinay Kumar, Rana, Kashif, Mahata, Pundarik, Ghosh, Prasenjit, Mukhopadhyay, Rabindra
E-drive System Selection Criterion for EV Commercial and Passenger Vehicles Segments2024-26-025301/16/2024
Electric Vehicles are one of the promising technologies to curb the climate change by reducing CO2 emissions significantly. Electric vehicle component selection is a complex process which has to fulfil multiple requirements with trade-off between Performance & Efficiency, Efficiency & cost, Performance & NVH, etc. Hence, it's a challenge to select right E-Drive comprising Motor and overall gear ratio to meet EV program targets. This study focuses on criterion used for selecting an E-Drive system comprising Motor, MCU and overall gear ratio for Electric Vehicles in Commercial and Passenger segments. The automotive market in India is analysed and the most popular vehicles in CV and PV segments with comparable Kerb Weights have been identified; Small Commercial Vehicle (SCV), and Compact SUV. The criterion is based on vehicle performance, design, cost, and NVH and efficiency requirements. The simulations are done to estimate motor torque/power requirements & overall gear ratio meeting the
Shendge, Raman Suresh, Jadhav, Vaibhav V., Warule, Prasad, Wani, Kalpesh
An optimum solution to meet the Thermal load challenge in a high mobility military vehicle2024-26-024601/16/2024
Military vehicles are intended to operate at rugged terrains in adverse environmental conditions. Unlike a regular truck, these vehicles are powered by a much bigger engine and transmission to meet the vehicle performance parameters. Thermal systems in these vehicles are challenging. With the adverse climatic condition and driving terrains, the criticality of Engine cooling system are intensified. In this paper, a Cooling system is finalised for a high mobility military vehicle with high power engine, Automatic transmission and a hydraulic retarder. Thermal load cases are different for each. Modelling is done in thermal simulation software KULI. A steady state simulation is done for engine and automatic transmission. Transient simulation is performed for retarder. The aim is to finalise a cooling system circuit consisting of radiator, oil to air cooler and oil to water cooler which are interconnected to meet the heat load demand of engine, transmission and retarder together.
AT, SHAJAHAN, KIRAN, NALAVADATH, RAO, BONTHALA
Design and Development of E-axle as a retro and OE fitment solution for Light Commercial Vehicles ranging from 1.5 to 5 Ton GVW2024-26-011901/16/2024
The Light commercial vehicle (LCV) is primarily used for the last mile delivery and it holds the volume share of around 61% in the commercial vehicle segment. The last mile delivery services have seen a massive surge after the CoVID-19 pandemic resulting is the increase sale of LCV in last few years and is expected to grow further by 8-11% in the coming years. However, city logistic is also responsible for most pollution and noise in the city. Hence, policymakers are aiming to reduce carbon footprint by promoting the use of Electric vehicle by providing incentive to automakers though schemes like FAME-I and FAME-II. In order to effectively reduce the carbon footprint within city it is important to increase the use of new electric vehicle and convert the old polluting vehicles to electric. Hence, a retro fitment solution for converting used LCV to electric can help in reducing emission as well as noise pollution. Later the same solution can be offered as OE fitment solution. Though
VAIBHAV, KUMAR, Mulik, Rakesh Vilasrao, Shrikrishna Ramdasi, Sushil
Methods to enhance vehicle handling by improving Steering On centre feel and return ability in commercial vehicles equipped with hydraulic assisted steering system.2024-26-005201/16/2024
With rapid improvement in the road infrastructure the average turnaround time of the cargo vehicles has been reduced by 25%.New generation commercial vehicles has better power to weight ratio by integrating high horse power engines. With this latest vehicle configuration average speed of fleet is increased by 30% and more focus is provided towards vehicle safety and handling. Driver confidence on vehicle handling improves with better on centre feel and return ability, these two parameters are easily tuneable with modern electric power assisted steering system, whereas with hydraulic power assisted system these parameters optimization have adverse effect on other steering performance. This paper covers study of following parameters of hydraulic assisted steering system and its optimization on vehicle handling. 1. Steering Gearbox torsion bar stiffness 2. Steering pump flow 3. Caster angle 4. Linkages ball joint performance 5. Steering Gearbox valve curve Base vehicle level objective
K, Arun Kumar, chikate, Abhishek, Kumar, Ganesh
Detailed Tire-Wheel modelling for crash related development in LS-Dyna2024-26-037601/16/2024
Vehicle performances in Crash related events like Small offset rigid barrier tests are crucially dependent on Tire-Wheel modelling. The objective of this study is to develop a detailed tire-wheel model subjected to loading, performance and failure criteria. The modelling technique should be robust, replicable and stable across a wide spectrum of simulations cutting down on unnecessary delays. This project evaluates the options offered in LS-dyna (damping, loads, sensors, materials etc.) and current states of models being widely used. There is a focus on offering additional tools in the model for analyst to control the failure and model behaviour. This tire-wheel model is subjected to scrutiny at multiple levels namely standalone, sub-system and full vehicle. The results achieved on this new modelling technique shows confidence in this. This model checks all the right boxes in terms of robustness, efficiency and development. The correlation is better on subsystem level tests. Tire-wheel
Sirohi, Yograj
Automation of PID Calibration for Close Loop Control System in an Electric Vehicle to Achieve Objective Driveability Performance2024-26-033201/16/2024
This paper introduces a novel approach to automate PID calibration for closed-loop control systems and the creep control function in an electric vehicle. Through a comprehensive literature survey, it is found that this method is the first of its kind to be applied in the field of automated electric vehicle calibration for Creep function. The proposed approach utilizes a systematic methodology that automatically tunes the PID parameters based on predefined performance criteria, including energy consumption and jerk. To implement this methodology, the ETAS INCA FLOW software, which provides guided calibration methods for in-vehicle testing & calibration, is employed. The calibration process is performed on a real-time electric vehicle platform to validate the effectiveness of the proposed approach. The results of this study showcases the advantages of automated PID calibration for closed-loop control systems and creep control function in small commercial electric vehicle. The proposed
G, Ashwin, Jadhav, Vaibhav V., Warule, Prasad B.
Vehicle performance simulation of a 3-wheeler Cargo electric vehicle using model-based approach and Validation of drive cycle data2024-26-010501/16/2024
Electric vehicle development is at the core of the next generation of last mile commercial vehicles. These vehicles will be used for delivery purposes over routine routes within a city. Realizing the performance requirement of such a vehicle involves concise choice of Battery capacity and Powertrain to deliver consistent performance with a desirable range for the end user. The model-based performance simulation helps in evaluating the performance characteristics of the vehicle in the early stage of development. The Product development process encounters various challenges in terms of product cost, design, and identification of the required specification for the Battery, Powertrain, and vehicle architecture. The model-based approach is used in this scenario for performing the foundational analysis to evaluate the range, acceleration, gradeability along with Component sizing to determine the optimum specification needed in the motor and Battery capacity to reach the specified targets
Manapadam Baskar, Bhushan
Comparison between state of art performance parameter of GaN and SiC Converters for electric vehicle application.2024-26-013401/16/2024
Various aspects of vehicle design, such as powertrain, infotainment, connectivity, and driving assistance systems, are undergoing significant advancements and innovations in the automotive industry. To enhance the performance and efficiency of electric vehicles, designers are exploring advanced technologies beyond the conventional silicon-based solutions. One such technology that is gaining popularity is the use of wide-bandgap materials like silicon carbide (SiC) and gallium nitride (GaN) for power-semiconductor devices in electric vehicles. Wide-bandgap-based hard-switching voltage source converters made of these materials are superior to their silicon counterparts in terms of efficiency, but their performance depends on their utilization at high switching frequencies. To determine the best technology for future electric vehicle applications, researchers compared the efficiency of SiC and GaN devices by analyzing factors such as blocking voltage, conduction loss, switching loss, and
Mehrotra, Soumya, Ray, Rakesh Kumar, Pandey, Devbrat, Naithani, Hardik
Study on Range Improvement Controls and Method for Electric Vehicles2024-26-013201/16/2024
Electric Vehicles are rapidly growing in the market yet various failure incidents were noted all along the globe. On the other hand, range anxiety has greatly inspired manufacturers to explore new practices to improve. One of the most important components of an EV is the battery, which converts chemical energy to electrical energy thereby liberating heat energy as the loss. This heat loss when high, capability of system to deliver required energy to wheels is reduced significantly. With a higher heat loss in the battery, system is prone to failure or reduced mileage. Therefore, controlling/maintaining system temperature under safe usable zone even during harsh conditions is ideal. Simple reduction in energy consumption of electrical cooling/heating devices used with regenerative energy techniques can greatly help in range improvement. The intention of this paper is to explore easy methods to improve electric vehicle range in different ambient conditions. Few of the key benefactors here
MR, Vikram, Pattalwar, Ashutosh, Verma, Mrinal, Bawa, Vikas
Development of 8L Hydrogen IC Engine2024-26-017001/16/2024
Throughout the world the efforts are being carried out to reduce the GHG emissions from transportation sector. As Volvo Group is a signatory of SBTi and having internal target of Carbon neutrality by 2040, we have intensified & also diversified our R&D efforts to develop powertrains of the future having mix of conventional, various alternate fuels, electric etc. There will not be a unique solution or strategy suiting for all the markets in the world. Each market will have its own motivation & factors which OEMs need to consider while deciding the short term, midterm & long-term strategy for powertrain technology. Accordingly, OEMs must be ready with product mix suitable for all global markets. This paper will talk about the efforts taken and lessons learned during development of Hydrogen fueled IC Engine. We used 8L Diesel IC engine as a base to convert it to Hydrogen powered IC engine, in a retrofit spirit, so that with minimum changes we could make the working prototype. This engine
LAD, MAKRAND RAJENDRA, Neveu, Jean Marc, S, ANOOP KRISHNA
SUV Multi-Link Rigid Axle Control Links Optimization for Ride and Handling Improvement2024-26-004801/16/2024
In automotive world, role of suspension system is to absorb vibrations from the road, and to provide stability while vehicle is going over bumps or uneven roads, cornering, acceleration and braking etc. For body on frame SUVs which are typically characterized by high center of gravity, it is quite critical to find best balance in ensuring stability of the vehicle and having comfortable ride performance. Rigid axle rear suspension is quite typical choice in such vehicles, wherein lower and upper control links are two important components subjected to lateral, longitudinal, and vertical loads. These links allow the vehicle to move smoothly throughout the entire range of suspension travel. Kinematics and compliance optimization of these links is major factor in definition of ride-handling performance of the vehicle. The present study describes key challenges and methodology to define position as well as orientation of control links, where-in multiple inter-related handling and comfort
Hussain, Inzamam, Jani, Harshil, Rasal, Shraddhesh, Asthana, Shivam, ahire, Manoj, Jadhav, Prashant, Lenka, Visweswara, Vellandi, Vikraman
Cost-effective techniques for SCEV to improve performance & life of battery and motor by using efficient thermal systems2024-26-027501/16/2024
The automotive world is moving towards electric powertrain systems. The performance of an electric powertrain and its electric components majorly depends on the operating temperature of the components. In the small commercial vehicle segment overall vehicle cost is a very sensitive parameter while competing in the market. This paper presents advanced efficient cost-effective thermal techniques for small commercial electric vehicles (SCEV) to improve the performance & life of major electric components. It is observed that from the literature survey, this technology is a novel technology for small commercial electric vehicle applications. The one-dimensional (1D) simulation approach is employed to evaluate the performance of the battery and traction cooling system during battery charging and vehicle driving scenario for different ambient conditions. The proposed thermal management techniques consist of simple and cost-effective thermal architectures having 3-way & 4-way valves which help
Chormule, Suhas Rangrao, Warule, Prasad, Jadhav, Vaibhav, Nagpure, Rahul
Automated and Connected SeriesSAE-EPR-0000101/09/2024
Vehicle automation is a complex engineering challenge ranging from how the vehicle works to how it relates to its user and others on the road. Even though humans do make mistakes when driving, it is incorrect to think that their actions tend to be worse than they actually are. On-vehicle automation system is primarily designed to replace the human driving to enhance performance and avoid possible fatalities. However, current implementations in automated vehicles (AVs) generally neglect that human imperfection and preference do not always lead to negative consequences. Disregarding this prevents achieving optimized vehicle performance and maximized road safety. To enhance user-friendliness, as well as in-vehicle task efficiency for AVs, it is important to consider how to improve human driving feature modeling and analysis, provide personalized motion control, and develop true human-like decision-making for AVs. These are aspects that will enhance trust in AVs as they become partners to
Evaluation of Automotive Closure Design for High Frequency Acoustics Performance2025-01-004905/05/2023
A good NVH environment in a vehicle plays an important role in attracting a large customer base in the automotive market. Hence, NVH has been given significant priority while considering automotive design. NVH performance is monitored using simulations early during the design phase and testing in later prototype stages in the automotive industry. Meeting NVH performance targets possesses a greater risk related to design modifications in addition to the cost and time associated with the development process. Hence, a more enhanced and matured design process involves Design Point Analysis (DPA), which is essentially a decision-making process in which analytical tools derived from basic sciences, mathematics, statistics, and engineering fundamentals are used to develop a product model that better fulfills the predefined requirement. This paper shows the systematic approach of conducting a Design Point Analysis-level NVH study to evaluate the acoustic performance of vehicle door systems in
Ranade, Amod A., Shirode, Satish, Miskin, Atul, Mahamuni, Ketan, Shinde, Rahul, GHAN, PRAVIN, Choudhury, Ashok
Co-relation of NVH results with housing modal analysis and improvement of the BEV transmission.2025-01-010605/05/2023
The battery electric vehicle (BEVs) are very sensitive in terms of NVH requirements. While the engine is getting replaced with an almost silent electric motor, the transmission noise appears persistent and demands more silent transmission. This has raised demand for improvement in design as well as manufacturing quality. Various innovations are being done to drive an improvement in the NVH. Following paper will discuss the improvement in NVH achieved through a design optimization of the housing using modal analysis. Firstly, the NVH results were co-related with the modal analysis and the cause for the dominant peak in amplitude of the NVH graph associated with the housing modes were mapped. A simple Excel based correlation matrix used to map the list of all Eigenfrequencies of housing and it’s corresponding gear tooth frequency. Further optimization is done in housing design to defer the modal frequencies and another NVH test was run. It was proven that the housing optimization using
Pingale, Abhijeet Satish, Deshpande, Prasannakumar
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