Browse Topic: Electric motors

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Development of the Honda S+ Shift Utilizing e:HEV System2026-01-0418To be published on 04/07/2026
Honda is promoting mobility electrification to realize a carbon-neutral society by 2050. Hybrid vehicles will remain advantageous over electric vehicles in terms of manufacturing cost and driving range until renewable energy usage increases, charging infrastructure is sufficiently developed, and battery costs are reduced. In response to this situation, Honda has developed a new control system, “Honda S+ Shift”, which further enhances the “emotional value of driving pleasure” inherent to the e:HEV system and creates new value for hybrid vehicles. Honda S+ Shift synchronizes the engine and vehicle speed and selects a virtual gear position according to the driver's operation such as acceleration, cornering, and deceleration. Subsequently, the system achieves the required system output in cooperation with a dedicated energy management system. It also works with each vehicle system, such as drive force control, sound control, and meter cluster, to stimulate all five senses of the driver
Murata, Naoya, Narimoto, Ryosuke, Saito, Masatoshi, Ishida, Daichi, GUNJI, HIROKI, UKAI, YOHEI, Kurachi, Shinobu, SHIKI, KAZUKI, Nagakura, Akari, Maeda, Sadaharu, Mitogawa, Terumasa
Propulsion System Design Considerations for HEV versus EV Applications2026-01-0641To be published on 04/07/2026
The design and development of EVs and HEVs has become a growing issue recently due to concerns about pollution and dependence on non-renewable fossil fuels. Accordingly, General Motors (GM) has an evolving vehicle electrification plan over the past several decades and into the future to deliver low-cost and efficient EVs and HEVs. Propulsion system requirements for the applications of EV and HEVs are quite different and therefore, the design principles and directions are also distinct between these cases. From micro-hybrid and full plug-in hybrid applications to full EV applications, design requirements, strategies and outcomes can widely vary. Continuous and peak duty are substantially different depending on the application of the vehicle. Motor operational duty is significantly higher for EV compared to the electric motor of a hybrid electric vehicle. Motor torque, power and efficiency requirements are also higher for EV motors, which greatly influences the choice of motor type and
Momen, Faizul, Jensen, William, Das, Shuvajit, Chowdhury, Mazharul, Alam, Khorshed, Anwar, Mohammad, Reinhart, Timothy
Assessing Energy Use, Cost, and Emissions of Small Regional Rail Vehicles: Methodology and Case Study on a German Track2026-01-0419To be published on 04/07/2026
The decarbonization of regional rail remains a pressing challenge in the European Union, where nearly half of the 200,000 km network remains unelectrified. Lightweight, single-car railbuses historically provided efficient service on such lines, but modern replacements are scarce. This work evaluates a standardized 30-ton, 16 m railbus platform for unelectrified regional service, focusing on propulsion system design and trade-offs between range, cost, and emissions. A MATLAB/Simulink drive-cycle model was developed to simulate energy consumption under realistic operating conditions. The Erfurt–Rennsteig route in Germany (130 km round trip, gradients up to 6 %) was selected as a representative case study. The model incorporates sub-models for traction motors, lithium-ion batteries (LFP and LTO), fuel storage, fuel cells, and ICE gensets across multiple fuel options (diesel, gasoline, methane, ethanol, methanol, HVO, FAME, and hydrogen). Battery lifetime is estimated using a combined
Ahrling, Christoffer, Tuner, Martin, Gainey, Brian, Torkiharchegani, Amir, Scharmach, Marcel, Hertel, Benedikt, ALAKÜLA, Mats
New Inverter Switching Control Method to Enhance Sound Quality for Electric Vehicles2026-01-0437To be published on 04/07/2026
Conventional inverter control uses a fixed switching frequency, which leads to a high-pitched switching noise in electric vehicles (EVs) that does not vary with vehicle speed. Although EVs are generally much quieter than traditional internal combustion engine (ICE) vehicles, some EV owners complain about the lack of dynamic driving sound feedback. A new patented technology has been developed to enhance EV sound quality by dynamically controlling the inverter switching frequencies. This technology generates dynamic propulsion sound with new "switching order" features at multiple harmonics, with the pitch proportional to vehicle speed. A fixed pulse ratio between the switching frequency and the electric motor RPM is implemented to control the switching order. This reduces switching losses during low-speed operation and provides boosted acoustic feedback to the driver during acceleration, which enhances driving experience during sports driving. Furthermore, a special "EV shifting" sound
He, Song, Gagas, Brent, Welchko, Brian, Ball, Kerrie, Gong, Cheng
Development of a model-based data-driven control algorithm for a Drive-By-Wire System for a Level 4 Automated Vehicle2026-01-0043To be published on 04/07/2026
Precision control in Level 4 Automated Vehicles is essential for enhancing operational efficiency, accuracy, and safety, including improvements in time and fuel consumption. This research, conducted as part of ARPA-E’s NEXTCAR program, focuses on developing a robust control algorithm for a 2021 Honda Clarity Plug-In Hybrid Electric Vehicle (PHEV) to enable drive-by-wire functionality. A model-based control algorithm was created for a 2021 Honda Clarity Plug-In Hybrid Electric Vehicle (PHEV) to enable drive-by-wire functionality for longitudinal and lateral motion controls. This vehicle was equipped with a set of sensors and an onboard processing unit to enable Level 4 automation. An algorithm was designed to command steering torque to the electronic power steering module, ensuring the vehicle could attain the desired steering angle position at varying speeds. The system leveraged feedforward and feedback mechanisms to command steering torque to the electronic power steering module
Adsule, Kartik, Bhagdikar, Piyush, Drallmeier, Joseph, Alden, Joshua, Gankov, Stanislav
Modular 3-D Lumped Parameter Thermal Network for Thermal Estimation of Permanent Magnet Synchronous Motors in Electro-Mechanical Braking Systems2026-01-0136To be published on 04/07/2026
With the development of electric intelligent vehicles, drive-by-wire systems are gradually popularized, the thermal reliability of electro-mechanical brake (EMB) motors, as the key actuators of drive-by-wire systems, is closely related to vehicle safety. However, the blocked-rotation operating condition of EMB motors typically involves applying unequal DC currents to the three-phase windings to achieve braking. This results in uneven winding heating, and conventional thermal models may fail to accurately represent the heat transfer dynamics arising from such tangential thermal imbalance, creating risks of motor local overheating. This paper is focused on thermal performance analysis of EMB motors under blocked-run conditions. First, a single-tooth lumped-parameter thermal network module (tooth module) incorporating external interfaces was developed. This module was adapted using experimental and simulation data, with its internal thermal parameters identified via a particle swarm
duan, yanlong, Xiong, Lu, Wang, Xinjian, Zhuo, Guirong, Zeng, Jie
Comparative Analysis of Flux Linkage Characterization Methods for Automotive Permanent Magnet Traction Motors: A Critical Review and Performance Evaluation Framework2026-01-0441To be published on 04/07/2026
Accurate flux linkage characterization is essential for the design, control, performance and efficiency optimization of permanent magnet (PM) traction motors in automotive applications. Precise knowledge of flux linkage across varying load, speed, and temperature conditions directly impacts torque production, field-weakening capability, overall drive system efficiency and torque security. This paper presents a critical review and classification of flux-linkage characterization methods, encompassing offline laboratory mapping, standstill signal injection, self-commissioning inverter-only routines, and online real-time estimation. Each method exhibits distinct trade-offs in terms of accuracy, robustness to inverter nonlinearities, temperature adaptability, cost, and scalability for production and in-vehicle use. With the increasing complexity of automotive electrified traction systems, understanding these trade-offs is crucial for optimal motor design and control. To enable systematic
Khan, Ahmad Arshan, Haddad, Reemon, Kim, Jay, Hermann, Justin, Mohamadian, Mustafa
Real-Time Observations of the Effect of Fuel Dilution in an Engine Transient Friction Rig. Along with Real-Time Observations of Fuel Entering and Leaving Internal Combustion Engine Oil, over both Standard Engine, ICE and Hybrid, HEV Dynamic Drive Cycles.2026-01-0351To be published on 04/07/2026
Hybrid electric vehicles with an increasing level of electrification, are becoming a major part of the global energy transition. To achieve lower engine tailpipe exhaust emissions and improve total fuel consumption, typically the hybrid electric vehicle (HEV) control system efficiently and frequently switches between the internal combustion engine and electric motor drive, with multiple stops and restarts of the internal combustion engine. A consequential result of this switching is typically slower, or even incomplete engine warm up times, depending on the engine speed, load pattern and run time of the vehicle drive cycle. Along with the speed and load transient control, the engine stop and start processes are also challenging to control, with respect to cold start fuel and combustion by-products entering the oil. Consequently, contamination enters the engine oil but may not completely leave. These effects are highly transient over the drive cycle with contaminants, in particular fuel
Butcher, Richard, Bradley, Nathan, Thedering, Dennis
Development and Comparison of Benchmarking Methods for Electric Vehicle Drive Units2026-01-0198To be published on 04/07/2026
At the U.S. Environmental Protection Agency’s National Vehicle and Fuel Emissions Laboratory, a development project was implemented to compare various test methods for benchmarking the operation of vehicle electric drive units (EDUs). In earlier research, several test methods were identified, of which two were used to test a Chevrolet Bolt EDU: (a) in-vehicle testing of the complete EDU on a chassis hub dynamometer and (b) stand-alone testing of the EDU’s electric motor and inverter in a dedicated test cell after removal from the vehicle. The resulting data sets were compared with each other and with similar data previously published by GM. In this paper, additional EDU test methods are explored. First, the stand-alone testing of the EDU and its subcomponents is expanded to include testing both with and without the EDU gearing. This testing allows the electric motor, inverter, and gearbox to be characterized separately and the EDU to be characterized as a complete unit. Second, in
Moskalik, Andrew, Schauer, Ethan, Barba, Daniel
Research on the control of magnetic weakening scheme for the voltage utilization rate of hybrid transmission2026-01-0447To be published on 04/07/2026
This paper proposes a weak magnetic control method for PMSM current regulators based on the ratio of pressure to frequency and voltage utilization rate when the motor speed exceeds the weak magnetic speed. That is, the direct-axis offset current id is generated through the action of weak magnetic feedforward and weak magnetic I regulator, and the control of weak magnetic speed can directly adjust the demagnetization effect of id to achieve weak magnetic control of PMSM. The weak magnetic control method of PMSM current regulators with the outer loop of voltage utilization rate is adopted. It is proposed to use the phase-locked loop control method to decode the motor position signal in a closed loop and calculate the motor speed. The fluctuation of the position signal is reduced and the signal is more stable. This paper realizes constant power speed regulation based on high voltage utilization rate and weak magnetic control method at high speed operation above the base speed, which
Jing, Junchao, Yan, Xiaoqian, Liu, Yiqiang, Sun, Fengjiao, Dai, Zhengxing
Residual “Non-Zero” Speedometer Readings In Crash Tests Using a HYGE Crash Simulation System2026-01-0537To be published on 04/07/2026
The trend among analog speedometer and tachometer instruments in recent decades has been toward stepper motor drives. If power is interrupted during a crash, such gauges often do not return to a zero reading. Speedometers and tachometers displaying residual readings after a crash have been observed with increasing frequency in recent years. In conducting a crash reconstruction, a question often arises as to whether such a residual reading corresponds to the indicated vehicle speed at the time of impact in the crash. Prior publications in this area have included a variety of crash tests under a wide range of relatively uncontrolled conditions. The present investigation evaluated a total of nine instrument clusters with a range of static torque required to move the needles when unpowered. The clusters were mounted on a HYGE crash simulation sled and subjected to consistent impulses at orientations representing frontal, rear, left and right lateral, and left and right oblique impacts
Barnes, Daniel, Duran, Amanda, Walker, James, Kent, Steven, Osterhout, Aaron, Clayton, Aidan
Electrified Propulsion System Balancing for Light Duty Full Size Truck and Sport Utility Vehicles: A 2026 North American Market Perspective2026-01-0412To be published on 04/07/2026
Achieving the stringent EPA CAFE 2032 standards for light-duty full-size trucks and SUVs in North American poses significant challenges. While Battery Electric Vehicles (BEVs) offer a clear path to zero tailpipe emissions, their widespread adoption in this segment faces hurdles including range anxiety, payload/towing capabilities, and traditional truck/SUV use cases. This paper investigates a balanced approach, focusing on optimizing propulsion system design with appropriate hardware content, can effectively meet future fuel economy and emissions standards. This investigation examines advanced BEVs and hybrid electric vehicle architectures, including full hybrids (HEVs), and plug-in hybrids (PHEVs) tailored for full-size trucks and SUVs. Considerations include the optimal sizing of internal combustion engines, electric motors, and battery packs to deliver robust performance while maximizing energy efficiency. This paper analyzes the integration of technologies such as electrified
Babcock, Dillon, Robinette, Darrell
Embedded Real-Time Control of a Distributed Trailer Propulsion System with Regenerative Braking for Net Neutral Load Towing2026-01-0065To be published on 04/07/2026
Towing significantly degrades vehicle efficiency, reducing battery-electric vehicle (BEV) range by up to 50% and increasing internal-combustion engine (ICE) fuel consumption by ~30%. To address this challenge, this paper presents a real-time embedded control architecture for a distributed trailer propulsion system that actively regulates drawbar force to achieve net neutral load towing while enabling regenerative braking. Unlike prior e-trailer concepts, this platform demonstrates a cost-effective, fully networked, model-based control implementation using commercial off-the-shelf components. The control system integrates dual Raspberry Pi controllers running ROS 2: one samples a hitch-mounted load cell at 100 Hz and the other processes OBD-II/CAN messages. Controllers designed in MATLAB/Simulink are deployed to a 5 kWh LiFePO₄ pack and a 5 kW traction motor, utilising embedded Linux for real-time scheduling and onboard data logging. Two operating modes are implemented: (i) PI
Joshi, Gaurav, Adelman, Ian, Liu, Jun, Donnaway, Ruthie
Methods of Highly Repeatable Lubricant Testing for Electric Vehicles: Universal Motor Control and Statistical Test-Variation Analysis2026-01-0421To be published on 04/07/2026
This paper describes a systematic approach to evaluate lubricants for hybrid and electric vehicles (xEVs) that can detect impacts on efficiency as low as 0.1 percentage points. Two testing methods were developed to evaluate lubricants' efficiency effects: (1) on a complete vehicle (using the manufacturer's hardware and motor control) and (2) on a standalone drive unit (using custom power electronics and control). A Monte Carlo simulation was used to analyze the resulting data to determine the detection limits of the vehicle test method. To evaluate the effectiveness of the test stands and the data-analysis method, a Tesla Model 3 electric drive unit and a Chevrolet Bolt battery electric vehicle (BEV) were characterized for system efficiency. For the Bolt mounted on a hub driven chassis dynamometer, this method is capable of detecting a change in the drive unit's electromechanical efficiency between baseline and candidate fluids of <0.4 percentage point (pp) with 95% confidence at most
Luo, Yilun, Gross, Michael, Kostan, Travis
A Novel Power-Split Hybrid Electric Architecture for Off-Road Tracked Vehicles: Design and Performance Evaluation.2026-01-0258To be published on 04/07/2026
Tracked off-road vehicles operate at low speeds with high tractive effort and frequent skid-steer maneuvers, conditions that push torque and power demand to extremes and exacerbate powertrain efficiency losses. Electrification can improve energy conversion and mobility for such duty cycles. This paper introduces a novel power-split hybrid electric architecture for a tracked vehicle and benchmarks it against three designs: a conventional mechanical driveline, a series hybrid, and a P2 parallel hybrid. To enable fair, architecture-agnostic comparisons, a supervisory controller based on Stochastic Dynamic Programming (SDP) schedules engine operation and power flow across all layouts under representative off-road scenarios, including skid-steer events, with varying terrain and power-demand profiles. Results show higher energy conversion efficiency (lower fuel use) for the proposed power-split architecture, followed by the parallel, then series, and lastly conventional configuration across
Ghate, Atharva, Sundar, Anirudh, Zhu, Qilun, Prucka, Robert, Figueroa-Santos, Miriam, Barron, Morgan, Castanier, Matthew P.
Lightweight Bubble Sheet Panel To Reduce Inverter Noise and Vibration for Electric Vehicles2026-01-0442To be published on 04/07/2026
Inverters are typically integrated into electric drive units for electric vehicles (EVs) to reduce packaging size and cost. However, coupled vibrations from the electric motor and gears are transmitted to the inverter, which, due to its large radiative panel, becomes a dominant noise source. Metal panels are required for electromagnetic interference (EMI) compliance, yet these covers usually lack sufficient stiffness or damping for noise control. Adding ribs and applying damping treatments results in excessive mass, cost, and packaging challenges. A new, patented bubble sheet panel design has been developed to enhance the structural strength and damping of the inverter while significantly reducing its mass. A thin sheet of aluminum or magnesium is welded onto the cover in an optimized pattern that enhances stiffness and damping performance while accommodating packaging requirements. The welding pattern can include logos or artistic designs to improve the panel’s appearance. The metal
He, Song, Bobel, Andrew, Naismith, Gregory, Yi, Wenwen, Patruni, Pavan Kumar
Research on Parameter Matching and Control Strategy of Electric Semi trailer Power System2026-01-0449To be published on 04/07/2026
Reducing carbon emissions is an important issue for environmental protection, while also saving fossil fuels for all mankind and preventing global warming. Therefore, reducing carbon emissions is of great significance. The carbon emissions in the transportation sector account for an important proportion of global carbon emissions, and the carbon emissions of heavy-duty commercial vehicles also account for an important proportion of the carbon emissions in the transportation sector. Therefore, the electrification of heavy-duty commercial vehicles is one of the important ways to save energy and reduce emissions for heavy-duty vehicles. Especially the research topic of this article: semi-trailer trains. Similar to passenger cars, semi-trailer trains also have two electrification ideas: hybrid and electric drive. Considering the high energy demand of heavy-duty commercial vehicles, the high cost of large capacity batteries, the current low level of development of electric heavy-duty
Zheng, Hongyu, Zhu, Kaixuan, Zhang, Yuzhou
Novel Air System for 300 kW Heavy Duty Fuel Cell2026-01-0434To be published on 04/07/2026
Hydrogen fuel cell powered vehicles for heavy duty trucks is a potential path for reducing heavy duty vehicle emissions in the future. The air handling system delivers the proper amount of air (oxygen) to react with fuel (hydrogen) in the fuel cell to produce power. Air delivery requires significant power and is the largest parasitic loss for a 300 kW fuel cell. Today’s systems use an electric motor to power an air compressor that supplies oxygen to the fuel cell stack. In addition to parasitic power loss, hydrogen fuel cell systems often have reliability issues associated with the air handling system. Reliability is of significant concern for heavy duty applications (especially long-haul applications). This project aims to improve both the electrical power consumption and reliability of hydrogen fuel cell air handling systems to meet the needs of heavy duty on-highway vehicle applications. The air handling is provided by a twin vortices series (TVS) compressor in addition to adding a
Reich, Evan, Swartzlander, Matthew, Wine, Jonathan, McCarthy, James, Miller, Eric, Akhtar, Saad, Reddy, Sharan, Lawy, TJ
Physical Test Validated Multi-level Power Electronics for Next-generation Electrified Vehicles Charging & Efficiency Improvement2026-01-0435To be published on 04/07/2026
Improving the energy efficiency of electrified vehicles remains a central objective in modern electric powertrains. Multi-level converters (MLCs) are widely recognised for lowering conversion losses relative to two-level inverters and improving total harmonic distortion (THD) in the sinusoidal supply to motors with a consequent reduction in motor losses. Despite this, sustained production-oriented validation at the integrated system level remains limited. This work introduces a multi-level converter architecture of the Battery Integrated Modular Multi-Level Converter (BIMMC) topology using Cascaded H-Bridge (CHB) architecture. It offers improvements in all key metrics of performance, cost, package size, mass and robustness compared to the current state-of-the-art two-level inverter system with distributed functions for charging available in the market today. The overall solution is highly functionally integrated. It supports four major functions required in electric vehicles without
Bao, Ran, Kalaiselvan, Prashanth, Rener, Kristof, Hallam, Philip, Shi PhD, Kai, Yue, William, Ma, He, Grimshaw, Andrew, Patel, Simon
On the Modal Characteristics of Motor Stators under Different Interlaminate Fastening Conditions14-15-01-00052/14/2026
The increasing demand for quiet and efficient electric vehicles has highlighted the importance of understanding vibration and noise characteristics of motor stators. Previous studies have extensively modeled electromagnetic excitation and laminated structures, but there has been little experimental evidence clarifying how different interlaminate fastening methods affect vibration modes under comparable conditions. This knowledge gap limits the ability to optimize fastening strategies for noise and vibration control in practical motor design. In this study, laminated stator cores were fabricated with different fastening conditions—bolting, clinching, and welding—and subjected to vibration testing and experimental modal analysis. Natural frequencies, damping ratios, and mode shapes were identified for torsional, circumferential, and breathing modes. The results revealed that the in-plane torsional natural frequencies increase with bolt axial force, while clinching provides additional
Matsubara, Masami, Saito, Akira, Shimada, Shogo, Oishi, Taizan, Furuya, Kohei, Kawamura, Shozo, Tajiri, Daiki
Computational Study on Dynamic Handling Performance of a Retro Fitted Electric Two-Wheeler Using 125cc Powered ICE Reference2026-28-00472/12/2026
With the development in motor technology and battery technologies, the scope for a low-cost EV has been increasing in India. There remains an after-mark potential for conversion of an ICE powered two-wheeler to an EV power train. Such a move reduces the carbon footprint from the vehicle drastically and is still being explored. This study investigates the effect of replacing the ICE with an electric motor in a 125cc motorcycle, with a particular focus on vehicle handling performance using Slalom test. The two wheelers were modelled using calculated mass properties and estimated / calculated moments of inertia using CAD for both ICE and electric powertrains. The electric propulsion system took into consideration the role of a battery pack in the mass and MI calculation. The framework with degrees of freedom is well established in BIKESIMTM simulation environment. A slalom test with automatic gear shift and throttle to maintain speed of the vehicle was set-up to estimate the handling
Sankarasubramanian, Hariharan, M, Shaghasra, V, Ramprathap
Development of Smart Climate Control with Multiple Level Auto Calibrations2026-28-00082/12/2026
Electric Vehicles (EVs) are rapidly transforming the automotive landscape, offering a cleaner and more sustainable alternative to internal combustion engine vehicles. As EV adoption grows, optimizing energy consumption becomes critical to enhancing vehicle efficiency and extending driving range. One of the most significant auxiliary loads in EVs is the climate control system, commonly referred to as HVAC (Heating, Ventilation, and Air Conditioning). HVAC systems can consume a substantial portion of the battery's energy—especially under extreme weather conditions—leading to a noticeable reduction in vehicle range. This energy demand poses a challenge for EV manufacturers and users alike, as range anxiety remains a key barrier to widespread EV acceptance. Consequently, developing intelligent climate control strategies is essential to minimize HVAC power consumption without compromising passenger comfort. These strategies may include predictive thermal management, cabin pre-conditioning
Mulamalla, Sarveshwar Reddy, SV, Master Eniyan, M, Nisshok, Anugu, Anil, E A, Muhammed, Guturu, Sravankumar
Miner’s Safety Bot: An ESP32-Based Autonomous Mobile Mine Safety Monitoring System2026-28-01162/12/2026
Mining operations are important to industrial growth, but they expose the mining workers to risk including hazardous gases, elevated ambient temperatures, and dynamic structural instabilities within underground environments. Safety systems in the past, typically based on fixed sensor networks or manual patrols, fall short in accurate hazard detection amidst shifting mine conditions. The proposed project Miner's Safety Bot advanced this paradigm by leveraging an ESP 32 microcontroller as a mobile platform that integrates gas sensing, thermal monitoring, visual inspection and autonomous obstacle avoidance. The system incorporates MQ7 semiconductor gas sensor to monitor real time carbon monoxide (CO), offering detection range from 5 to 2000 ppm with accuracy of 5 ppm. Temperature and humidity are monitored through DHT11 digital sensor, calibrated to ensure reliability across the harsh microclimates in mines. Navigation and autonomous movement are enabled by Ultrasonic Sensor (HC-SR04
D, Suchitra, D, Anitha, Muthukumaran, Balasubramaniam, Mohanraj, Siddharth, Subash Chandra Bose, Rohan
TOC99-08-01-0TOC2/11/2026
TOC
Tobolski, Sue
Advanced Thermal Management for High-Tonnage EVs: Increasing Coolant Flow and Reducing Energy Losses2026-26-01961/16/2026
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 of
Dixit, Sameer, Patil, Bhushan, Ghosh, Sandeep
Gear Shift Validation of Multi Speed EV Transmission on Test Bench using Vehicle Control Unit2026-26-05321/16/2026
Electric vehicle (EV) transmissions play a vital role in powering EVs by channeling energy from the electric motor to the wheels. Recently, the focus has shifted to multi-speed transmissions in the EV sector due to their potential to improve efficiency and performance. By utilizing various gear ratios, these transmissions enable the motor to function within its most efficient range across different speeds. Most of these transmissions need electric control unit (ECU) with software for optimal functionality and smoother gear shifting. These controllers incorporate controller area network (CAN) communication protocol to operate along with other ECUs. Thus validation of these transmissions is a challenge as they are clutch less, motor has to be controlled for speed matching and have electro mechanical systems replacing conventional systems for operation. This paper proposes a methodology to validate multispeed EV transmissions on a test bench. The validation setup consists of electric
Thambala, Prashanth, Patel, Hiral, Soor, Debasis
Bearing Creep Prevention in EV Transmission2026-26-05981/16/2026
As the trend shifts from Internal Combustion Engine (ICE) vehicles to Electric Vehicles (EVs), the operating speeds of prime movers have significantly increased. Commercial EV manufacturers prefer high-speed, low-torque motors coupled with transmissions over low-speed, high-torque motors due to higher efficiency and power density. This combination of high-speed, low-torque motors coupled with transmission is essential for achieving the required gradeability and enhances operational efficiency. However, the increased operating speeds of these EV transmissions have inherently increased the risk of ‘bearing creep’ [8]. The “bearing creep” is the phenomenon where unintended relative motion occurs between bearing races and their mounting surfaces, leading to premature wear of mounting surfaces [3]. This issue can lead to a series of failure modes such as increased gear mesh misalignment, bearing damage, seal damage, etc. These problems result into elevated transmission vibrations eventually
Bagad, Sachin Sunil, Kanase, Ashish, Hiremath, Satalingayya, Nevarekar, Sandip
Optimization of Electric Powertrain Mounting for Vibration Isolation in EV Powertrains Using Multibody Dynamics2026-26-00801/16/2026
With growing significance of electric vehicles (EVs), their powertrains – while naturally quieter than internal combustion engine (ICE) powertrains – pose new NVH (Noise, Vibration, Harshness) challenges. These are triggered mainly from high-frequency disturbances caused by electric motors and gear interactions. Isolation of such excitations is essential for securing cabin refinement and customer expectations for acoustic comfort. This paper offers a simulation-based approach to optimal placement of the electric drive unit (EDU), which houses the electric motor and gearbox, with the objective of reducing vibration transfer to the chassis of the vehicle. The methodology explores the effect of spatial mount repositioning under actual dynamic load conditions through multibody dynamics (MBD) modeling and integrated optimizer using advanced multibody dynamics simulation software – Virtual Dynamics. The suggested workflow helps in effective investigation of mount positioning within packaging
Shah, Swapnil, Mane, Prashant, Back, Arthur, Emran, Ashraf
EV Transmission Efficiency Estimation Using Simulation X2026-26-04531/16/2026
Electric vehicle (EV) transmission efficiency is crucial for optimizing energy use and enhancing performance. It minimizes power losses during energy transfer from the motor to the wheels, directly impacting the vehicle's range and battery life. High efficiency ensures smoother acceleration and better driving dynamics, improving the overall user experience. Unlike internal combustion engine (ICE) transmissions, EV transmissions often employ simpler, single-speed systems, reducing complexity and energy loss. Efficient transmissions help reduce energy usage, lower costs, and minimize environmental impact. As a result, transmission efficiency plays a vital role in ensuring the sustainability and reliability of EV designs. This paper proposes a simulation model based methodology to estimate EV transmission efficiency based on modelica models developed on simulation X. A single speed EV model is developed which contains whole transmission layout discretized into simple components which
Sutar, Suresh, Thambala, Prashanth, Patel, Hiral
Validation of 0D-1D Co-Simulation Strategies in Cold Conditions for ‘Full EV Digital Vehicle’2026-26-04481/16/2026
Electric Vehicles (EV) are embedded with increased software algorithms coupled with several physical systems. It demands the efficacy of components which are linked together to build a system. The digital models reviewed in this paper are at system-level and full vehicle-level, comprising many components and control design, analysis, and optimization. Systems pertaining to each functionality such as, A/C (Air Conditioning) loop, E-Powertrain (Electric Powertrain), HEVC (Hybrid Electric Vehicle Controller), Cooling system, Battery Management System (BMS), Vehicle control system etc. together make an ‘Integrated Digital Vehicle.’ Fidelity of Intersystem co-simulation [AMESIM + SIMULINK] is key to validating thermal and energy strategies. This paper elucidates the correlation of Digital Vehicle compared to Test for Thermal Strategy in different driving scenarios and Energy management. Validation of Digital vehicle with 52kWh, 40kWh High Voltage Battery for Intercity Travel of Customer
Sarapalli Ramachandran, Raghuveeran, Srinivasan, Rangarajan, Saravanan, Vivek, Dutta, Souham, Pichon, Martin, Leclerc, Cedric, Guemene, Alexis-Scott
A Machine Learning Approach to Early-Stage Failure Prediction in Traction Motor Manufacturing2026-26-02811/16/2026
Traction motors technology has, driving the EV industry forward with more efficient, lightweight, and durable solutions. However, despite these advancements, noise testing at the end of the production line remains a critical stage for identifying manufacturing defects in traction motors. Hence early fault detection in traction motors is crucial to ensure safety and reliability of EV. This research contributes a solution that predicts early-fault detection, supporting improved reliability, reduced material cost and minimizing process time in the series production line. To identify the root cause of this problem, historical quality data has been acquired from manufacturing plants to enable efficient analysis. Feature selection was then carried out using embedded and wrapper methods to identify the most important features. These selected features were subsequently used as input for ML models. The best accuracy was achieved using SVC model for early-stage motor failure prediction.
Gaikwad, Pooja, Nangare, Kapilraj, Suryawanshi, Chaitanya
Applicability of EMC Validation for EV Powertrain Components2026-26-01971/16/2026
The technology in the automotive industry is evolving rapidly in recent times. An electric vehicle is a complex and dynamic system consisting of numerous components interacting with each other. With increase in number of EVs on Indian roads, EV makers to produce innovative and pragmatic concept of electric vehicle features. This electrification in automobile has brought new dimension to Electro Magnetic Compatibility (EMC). Considering all these, EMC Testing of all power train components with real case scenarios is utmost important. This paper will put a light on applicability of various EMC tests for EV components like Traction Battery, Traction Motor and Inverter, DC to DC Converter, 3 in 1 Unit, 4 in Unit, BTMS unit, HVAC system, On Board Charger etc. With ICE vehicles, all components were connected to only 12V battery but with the EV era, Components are getting connected to HV battery or LV battery or sometimes both. With this change, all ISO and CISPR standards were undergone with
Yeola, Mayur, Mulay, Abhijit B, Swaminathan, Ganeshan
Performance Enhancement and Safety Discharge Control Strategies for SPMSM in Automotive Applications2026-26-01791/16/2026
Surface Permanent Magnet Synchronous Motors (SPMSMs) have gained significant attention in modern industrial, automotive, and aerospace applications due to their high efficiency, power density, and superior dynamic performance. This paper explores the fundamental principles, control strategies, and optimization techniques for SPMSMs. The study focuses on advanced vector control methods, i.e., Field-Oriented Control (FOC), to achieve precise torque and speed regulation. Additionally, to ensure the safety and reliability of EV motors. Active discharge strategies used in EV motor drives focus on circuit topologies, control techniques, and implementation challenges. The paper also discusses a comparison of Sinusoidal Pulse Width Modulation (SPWM) and Space Vector Pulse Width Modulation (SVPWM) techniques, where the maximum speed of the motor is achieved. The findings highlight the potential of SPMSMs in high-performance applications, emphasizing future research directions in energy
Munnur, Swathi, Gandhi, Nikita, Tendulkar, Swati, Masand, Deepika, Murty, V. Shirish, Peruka, Mahesh
Impact of Virtual ECUs on Software Development and Validation Using the Shift Left Strategy2026-26-06811/16/2026
The automotive industry is undergoing a transformational shift with the addition of Virtual ECU in the development of software and validation. The Level 3 Virtual ECU concept will lead to the transformation in the SDLC process, as early detection of defects will have a significant impact on cost and effort reduction. This paper explains the application of a Level 3 virtual ECU which can enable to perform testing in initial period considering the Shift Left Strategy, which will significantly reduce development time. This paper demonstrates various development and validation strategies of virtual ECU and how it can impact project timeline.
Bhopi, Amey, Sengar, Bhan
Smart Stability: Automation of Braking Solutions, Hill Hold and Parking Brake Strategy in Tractors Using Electro-Hydraulic Actuation2026-26-02051/16/2026
Agricultural operations in hilly, uneven & slopy terrains demands high levels of operator focus, effort and skill. However, todays farming ecosystem across the globe is affected by 2 major scenarios: the aging workforce in the agricultural sector and the ever-growing problem of distraction due to mobile device and social media use. These issues compromise safety during operations such as start stop maneuvers, parking on slopes, and maneuvering in confined & narrow areas. Stringent emission norms are also being mandated across developed and developing countries as a measure to reduce Global Greenhouse house gas emissions. These measures are indeed necessary for sustainability but has increased overall tractor purchase and operating costs without improving safety & operator comfort. There has been a trend seen around the world in terms of poor sales post Emission implementation. Registration of Older tractors without these stringent emission norms were also witnessed in Developed
M, Rojer, T, Ganesan, P, Velusamy, Natarajan, Saravanan, V, Mathankumar, tripathi, Shankar, Narni, Kiran, Haldorai, Rajan, Devakumar, Kiran
Multiphysics Simulation Approach for Evaluating Thermo-Structural Performance of Electric Motors Using Spatial Electromagnetic Loss Mapping2026-26-03871/16/2026
High power and torque density electric motor is finding increasing demands in modern-day electric and hybrid vehicles because of compact and light-weight designs. These high-performance requirements are achieved by increasing the current flow, strengthening the magnetic field as well as downsizing the motor dimensions and hence can lead to multiple failure modes if not designed properly. Higher current flow results in increased magnitude of losses within the motor components such as ohmic loss, iron loss, hysteresis loss and mechanical losses. All these localized losses contribute to higher operating temperature and temperature gradient that can act as a catalyst to several modes of failure. Hence, accurate prediction of temperature distribution across the motor components is very crucial to come up with a robust and durable motor design. A common approach of predicting component temperature is by assuming bulk losses for lamination stack, hairpin and magnets. This approach might be
Munshi, Irshad Ahmed, Elango, Gokul, Karmakar, Nilankan, Prasad, Praveen
Analysis and Optimization of Noise and Vibrational Performance of an Electric Axle2026-26-03401/16/2026
As the electric mobility landscape evolves, there is a growing emphasis on addressing the Noise, Vibration, and Harshness (NVH) challenges associated with electric drivetrains. The absence of an IC engine in EVs shifts the focus to other noise contributors such as gear meshing, electric machine operation, and structural vibrations. Despite the known influence of micro-geometry on gear dynamics, current optimization practices often rely on empirical adjustments or standard guidelines without fully utilizing advanced computational methods to predict and optimize NVH performance. There exists a pressing need for a systematic approach to analyze and optimize gear micro-geometry to reduce noise and vibration in high-speed e-axle applications. This research aims to bridge that gap by investigating the relationship between micro-geometry optimization and NVH characteristics of an e-axle. Through detailed modelling and optimization techniques, this research aims to identify optimal gear micro
Ankit, Priyadarshi, Kulkarni, Krishna, Momin, Vaseem
Integrated Simulation of Electric Vehicle Model Using the ROM Approach2026-26-03691/16/2026
The growing demand for Electric Vehicles (EVs) has highlighted the importance of efficient and accurate simulation tools for design and performance optimization. The architecture of electric vehicles is distinct from that of internal combustion engine vehicles. It consists of on-board charger, DC-DC converter, Lithium ion battery pack, Inverter, electric motor, controllers and transmission. The battery pack supplies electric current to the traction motor, which then converts this electrical energy into mechanical energy, resulting in the rotational motion needed to drive the vehicle. Wide range of Multi-physics is involved in the simulation which involves Power electronics, Electromagnetics, Fluid Mechanics, Thermal engineering. This paper presents an integrated simulation and range prediction methodology for Electric Vehicles (EVs) using the Reduced Order Model (ROM) approach. The methodology includes simulation in both 3D and 1D domain. CFD simulation is performed to understand the
Shandilya, Anand, Kumar, Vivek
Self-Supervised Diagnostics & Prognostics Framework for Predictive Maintenance in Electric Vehicles2026-26-06731/16/2026
Predictive maintenance is critical to improving reliability, safety and operational efficiency of connected vehicles. However, classic supervised learning methods for fault prediction rely heavily on large-scale labeled data of failures, which are difficult to obtain and maintain a manually built dataset of failure events in real automotives settings. In this paper, we present a novel self-supervised anomaly detection model that makes predictions on the faults without the need for labeled failures by using only the operational data when the systems or robots are healthy. The method relies on self-supervised pretext tasks, like masked signal reconstruction and future telemetry prediction, to extract nominal multi-sensor dynamics (i.e., temperature, pressure, current, vibration) while jointly minimizing the deviation between encoded/decoded signals and normal patterns in the latent space. A unsupervised anomaly detection model is then used to detect when the learned patterns are violated
Kumar, Pankaj, Deole, Kaushik, Hivarkar, Umesh
Mathematical Modeling and Genetic Algorithm-Based Energy Management in Hydrogen PEM Fuel Cell Electric Vehicles2026-26-02571/16/2026
Hydrogen Fuel Cell Electric Vehicles (FCEVs) represent a significant trajectory in vehicular decarbonization, harnessing the inherently high energy density of diatomic hydrogen within electrochemical conversion systems. When sourced via renewable pathways, such hydrogen facilitates propulsion architectures characterized by zero tailpipe emissions, enhanced energy efficiency, and extended operational range profiles. Realizing peak systemic efficacy necessitates the synergistic orchestration of high-fidelity fuel cell stack design, resilient compressed gas storage modalities, and nuanced energy governance protocols. To reduce transient stressors and guarantee long-term electrochemical stability, employing multi-scale modeling and predictive simulation, combined with constraint-aware architectural synthesis, is crucial in handling stochastic driving conditions spectra. This study develops a high-fidelity mathematical plant model of a hydrogen Proton Exchange Membrane (PEM) fuel cell
Mulik, Rakesh Vilasrao, E, Porpatham, Senthilkumar, Arumugam
Simulation Research on Torque Vectoring, Braking, Chassis Control Strategies for Electric & Hybrid Vehicles using System Simulation2026-26-04231/16/2026
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 an integral part of the EVs/xHEVs. It demands high-fidelity physical and control model exchanges between electric chassis, ride-handling, tire modelling, steering assist, powertrain, and validation using a 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 co-simulation. The co-simulation platform includes physical models in AMESIM, and control strategies integrated in MATLAB/Simulink. The platform features comprehensive representations of digital vehicles that require detailed modelling of
Eruva, Patrickxavier, Sarapalli Ramachandran, Raghuveeran, Chougule, Sourabh, Natanamani-Pillai, Siva Subramanian, Scheider, Clement, Leclerc, Cedric, Natarajasundaram, Balasubramanian
Methodology to Model EMI from E-motors and Controller in the Frequency Range from 30 to 200 MHz2026-26-05241/16/2026
As EMC testing for E-motor drives gains significance due to the involvement of high-frequency switching and high current systems. The radiated emission testing as per CISPR 25 necessitates utilizing an EMC-proof dynamometer to load the E-motor drives during EMC testing inside EMC chamber, which presents a highly complex and expensive testing arrangement. This paper outlines a detailed approach for modelling radiated emission without the usage of such a complex arrangement, by measuring conducted high-frequency currents on the DC and AC lines of motors and MCUs while utilizing a non-EMC-proof motor dynamometer under loaded conditions. In this paper the measurements are conducted in the frequency range of 30 MHz to 200 MHz where usually more issues due to switching noise occurs. The developed model facilities early stage diagnosis of potential EMC issue, enabling mitigation strategies before motor EMC testing. Validation of the method was performed through experimental comparison with
M, Gokul, Patel, Jinay, Mulay, Abhijit B
Developments in 2-Wheeler Electric Vehicle Architecture2026-26-01991/16/2026
Electric vehicles are becoming more popular due to the low-cost investment for individual daily usage, such as traveling to nearby places, offices, and schools. There are environmental benefits that make them green and produce less pollution compared to traditional vehicles. Two-wheeler electric vehicles (EVs) have more electronic components compared to two-wheeler internal combustion engine (ICE) vehicles. The major components in two-wheeler EVs are the motor and battery. The traction motor is driven by the battery, Battery is a primary energy source in 2Wheeler electric vehicle. An electric vehicle comprises different major electronic components such as the battery management system (BMS), motor control unit (MCU), human-machine interface (HMI), and, in some cases, a vehicle control unit (VCU) as well. Considering a 48V architecture or less than 60V provides advantages of low system cost as it requires less effort for safety measures. Furthermore, this paper explores diverse
Karunakar, Praveen, K R, Amogh
Virtual Prototyping: Accelerating Traction Motor Development for Commercial Electric Vehicles2026-26-01521/16/2026
This paper presents the virtual prototyping of traction motor in commercial EV to make an early prediction of the performance parameters of the machine without spending an enormous cost in building a physical structure. A 48/8 slot-pole configuration of IPMSM is used to demonstrate the electromagnetic and thermal co-simulation in ANSYS MotorCad. The core dimensions were determined using permanent-magnet field theory. From those, a two-dimensional finite-element (2D FEM) model of the interior permanent magnet (IPM) motor was simulated using Ansys Motor-CAD electromagnetic simulation tool. The influence of geometrical parameters on the performances of traction motor are evaluated based on FEM. The temperature distribution have been analyzed under steady and transient operating conditions. Alongside, the effects of saturation, demagnetization analysis, and the impact of PM flux linkage on inductances are also considered in this paper. At last, the simulation and analytical results of the
Murty, V. Shirish, Rathod, Sagarkumar, Gandhi, Nikita, Tendulkar, Swati, Kumar, Kundan, Thakar, Dhruv, Sethy, Amanraj
Comprehensive Analysis and Mitigation Strategies to Minimize Torque Steer Phenomenon for FWD Vehicles during the Vehicle Development2026-26-00971/16/2026
Born Electric SUVs is gaining immense popularity due to enhanced ride and handling characteristics, advanced tech features elevating both performance and customer experience to an elite standard. Due to the platform constraints, the vehicle adopts a Front Wheel Drive (FWD) layout with a rear twist beam configuration, housing the electric motor at the front to deliver drive torque directly to the front wheels. Torque steer is a phenomenon often found in FWD cars, which is unsettling to driver where the steering wheel could be pulled hard to one side when there is aggressive throttle input potentially leading to deviation of the vehicle from its desired path. In contrast to internal combustion engines (ICEs), electric motors provide an instantaneous torque, something that can worsen torque steer if not well addressed. However, torque steer remains a key concern, with high torque output of electric motors especially for a front wheel drive vehicle. This paper introduces a methodology to
Prabhakara Rao, Vageesh, Wankhade, Krishna, Thakur, Pragyesh, Rasal, Shraddhesh, Asthana, Shivam
Structural and Micro-Geometry Optimization of an Electric Drive Unit for Whine Noise Reduction2026-26-03151/16/2026
The noise generated by pure electric vehicles (EVs) has become a significant area of research, particularly due to the increasing adoption of electrified propulsion systems aimed at meeting OEM fleet CO₂ reduction targets. Unlike internal combustion engines, which mask many drivetrain noises, EVs expose new challenges due to the quieter operation of electric motors. In this context, the transmission system and gear structures have emerged as primary contributors to noise, vibration, and harshness (NVH) in EVs. The present study provides an NVH study that focuses on the gear whine noise issue that is seen at the vehicle level and cascades to the powertrain level. Comprehensive root cause identification, focusing on the transmission system's structural and dynamic behavior. The research emphasizes modifications to both the gearbox housing and gear structures to reduce noise level, and model validation was all part of the study, which was accompanied by physical test results. Using MBS
Baviskar, Shreyas, Kamble, Pranit, Ghale, Guruprasad, Bendre, Parag, Prabhakar, Shantanu, Kunde, Sagar, Thakur, Sunil, Wagh, Sachin
Unique Methodology to Cluster and Reuse the “Hazard Analysis and Risk Assessment” for Different Electrical/Electronic Systems of an Automobile2026-26-00041/16/2026
Modern automotive systems are becoming increasingly complex, comprising tightly integrated hardware and software components with varying safety implications. As the demand for ISO 26262 compliance grows, performing efficient and consistent Hazard Analysis and Risk Assessment (HARA) across these layers presents both methodological and practical challenges. Traditional approaches often involve performing HARA for an item (where item maybe a system or a combination of systems), which can lead to update of HARA for every new feature addition in an item, which in turn may lead to analysis of same functions in multiple HARAs leading to inconsistent risk categorization, redundancy, or even conflicting safety goals. Therefore, this paper proposes a unique HARA methodology which consolidates the list of functions from various systems and performs the HARA for the grouped functions (hereby referred to as Cluster HARAs). For example, Electrical power steering, Electric pump powered hydraulic
Somasundaram, Manickam, Vijayakumar, Melvin
Advanced SVPWM Techniques for Multi-Level Inverters: Enhancing Performance and Reducing Complexity2026-26-01471/16/2026
Over the last few years, notable progress has occurred in electric vehicle (EV) technology. Inverters are key components for electric vehicles (EV). Various PWM strategies have been implemented by OEMs over past years. For most of PWM scheme timing calculation & Lengthy algorithm increases complexity. The proposed a novel Pulse Width Modulation (PWM) control technique for generating inverter lag switching times in multi-level inverters. The proposed Space Vector PWM (SVPWM) method eliminates the need for sector and region identification by utilizing sampled values of reference phase voltages, thereby reducing computational efforts and complexities. The scheme can generate N-level PWM signals and offers flexibility to operate with fewer levels, including operation in the overmodulation range. The sampled magnitudes reference phase voltages are converted into timing signals that are subsequently processed by an algorithm to modify modulating signals. These modulating signals are
Bhanabhagvanwala, Prem Kiritkumar
Dynamic Prime Mover Management for Enhanced Energy Efficiency in Electric Tractors2026-26-01851/16/2026
Conventional ICE (internal Combustion Engine) tractors have single mechanical drivetrain used for propulsion of wheels, hydraulic and PTO drive and are designed to deliver power across range of operational zones leading to power wastage, reducing efficiency. This happens during Low Power Mode or low load operation. Extensive validation in Mahindra tractors reveal that such operations contribute to overall loss of 18–20%. Out of all factors, losses due to hydraulics is predominant and is close to 7–10 % of total power loss. In contrast, Hybrid tractors with Engine for propulsion of wheels alone and a dedicated Electric motor for PTO, Hydraulic functions. We have designed the system to offer enhanced operational flexibility through three distinct modes: Low Power Mode, Lift Assist Mode, and Implement Drive Mode. These modes ensure delivery of optimised performance while reducing the hydraulic losses & increased efficiency of the overall system. Low Power mode - powers essential vehicle
Natarajan, Saravanan, P, Shanmugavel, Joshi, Priyanka, Sundaram, Pavithra, Sameer, Kamat, Singh, Ruby, Arvind, Kumaran, T, Senthil Kumar
Technology Trends and Market Adoption of Electric Motors in NEVs2026-26-01611/16/2026
In recent years, the global automotive sector has undergone transformation at an unprecedented pace, driven by environmental concerns, rapid technological advancements, government incentives, and evolving consumer expectations. The rapid uptake of electric motors as the main propulsion system in New Energy Vehicles (NEVs) has been a key factor in this change. This study examines the technological development of electric motors in four different vehicle segments: passenger cars, heavy-duty commercial vehicles, three-wheelers, and two-wheelers. It identifies the leading electric motor technologies utilized in each of these segments, along with their prevalence across key globally regulated markets. The study offers a thorough analysis of current e-motor technologies and their market distribution by referencing historical data and existing scholarly literature. A regional analysis is conducted to examine variations in manufacturer preferences and deployment strategies, supported by visual
Singh, Ashish, Ray, Rakesh Kumar
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