Browse Topic: Vehicles and equipment

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Efficient Multi-Parameter Optimization of a Twist Beam Rear Axle for Electric Vehicles using TOPSIS method for Durability2026-28-0067To be published on 02/12/2026
This study investigates the parameter optimization of a Rear Twist Beam (RTB) for an electric vehicle (EV) during the early stages of product development. Adapting the RTB design from a current Internal Combustion Engine (ICE) vehicle platform presents a complex challenge: accommodating increased rear vehicle load while minimizing cost and maintaining existing rear hard points. To address this, a Computer-Aided Engineering (CAE)-driven optimization using the Taguchi method was employed, avoiding costly physical durability tests. The key design parameters considered were the thickness and material grade of the RTB's child parts: the cross beam, trailing arms, and reinforcements, while preserving their original shapes. An L8 orthogonal array was utilized to efficiently evaluate the influence of these parameters on durability performance, and the optimal combinations for maximizing durability were identified. Furthermore, an Analysis of Variance (ANOVA) was conducted to quantify the
Madaswamy, Arunachalam, Dhanraj, Sudharsun, Govindaraju, Karthik, Lokaiah, Srinivasan
Intelligent Steering System to Improve Fuel Efficiency in Heavy Duty Vehicles2026-28-0103To be published on 02/12/2026
In commercial vehicles, conventional engine-driven hydraulic steering systems result in continuous energy consumption, contributing to parasitic losses and reduced overall powertrain efficiency. This study introduces an Electric Powered Hydraulic Steering (EPHS) system that decouples steering actuation from the engine and operates only on demand, thereby optimizing energy usage. Field trials conducted under loaded conditions demonstrated a 3–6% improvement in fuel economy, confirming the system’s effectiveness in real-world applications. A MATLAB-based simulation model was developed to replicate dynamic steering loads and vehicle operating conditions, with results closely aligning with field data, thereby validating the model’s predictive accuracy. The reduction in fuel consumption directly translates to lower CO₂ emissions, supporting regulatory compliance and sustainability goals, particularly in the context of tightening emission norms for commercial fleets. These findings position
T, Aravind Muthu Suthan, Mani, Kishore, Ayyappan, Rakshna, D, Senthil Kumar, S, Mathankumar
Performance Evaluation of a Novel Coolant Channel Configuration for Liquid-Based Battery Thermal Management in Electric Vehicles2026-28-0042To be published on 02/12/2026
The performance and longevity of lithium-ion (Li-ion) batteries in electric vehicles (EVs) are critically dependent on effective thermal management. As internal heat generation during charge and discharge cycles can lead to uneven temperature distribution, exceeding optimal operating limits (25 - 40°C) can significantly degrade battery performance and lifespan. This study presents a performance evaluation of a novel liquid-based Battery Thermal Management System (BTMS) featuring a dual-directional coolant channel configuration designed to enhance thermal uniformity and heat dissipation. The proposed configuration combines horizontal and vertical coolant passages in an indirect cooling layout to address the limitations of conventional serpentine-type channels. A comprehensive thermal analysis was carried out under realistic loading conditions using three coolant types: water, ethylene glycol-based G48, and graphene-enhanced water nanofluids. These were evaluated for thermal conductivity
Selvan, Arul Mozhi, Periyasamy, Muthukumar, R, Thiruppathi, Prasad S, Hari, Raghav, R, Boddu, Sriram Pydi Aditya
Optimized Design, Analysis, and Validation of a Tractor Muffler for Enhanced Back-Pressure Control and Cost Efficiency2026-28-0004To be published on 02/12/2026
Internal combustion engines generate intense acoustic pulses during combustion, necessitating the use of exhaust mufflers to suppress noise emissions. With evolving regulations on permissible noise levels and the automotive industry's drive toward lightweight, high-performance vehicles, muffler designs must balance effective sound attenuation, minimal back pressure, and reduced mass. This study presents a comparative analysis of three muffler configurations serpentine, rectangular, and zigzag designed using SolidWorks for a light commercial vehicle (LCV) diesel engine. The models were evaluated using computational fluid dynamics (CFD) simulations to assess their acoustic and flow performance. Each design incorporated internal baffle arrangements to enhance sound absorption while aiming to minimize back pressure. The serpentine model featured a perforated baffle layout that promoted multiple reflections and dissipated acoustic energy more efficiently. Simulation results indicated that
Deepan Kumar, Sadhasivam, Palaniselvam, Senthil Kumar, D, Ashokkumar, R, Krishnamoorthy, Mahendran, M, Pasupuleti, Thejasree, G, Dhayanithi, L, BOOPALAN
Genetic algorithm based optimization of Chaboche kinematic hardening parameters along with the validation of FE model through characterized crack initiation2026-28-0086To be published on 02/12/2026
In the context of electro-mobility for commercial vehicles, the failure analysis of a low voltage (LV) connector panel in a DCDC converter is crucial, particularly regarding crack initiation at the interface of busbar and plastic component. This analysis requires a thorough understanding of thermo-mechanical behavior under thermal cyclic loads, necessitating kinematic hardening material modeling to account for the Bauschinger effect. As low cycle fatigue (LCF) test data is not available for thermo-plastic composite material Ultramid A3U44G6, we have adopted a novel approach of determining non-linear Chaboche Kinematic Hardening (CKH) model parameters from monotonic uniaxial temperature dependent tensile test data of Ultramid A3U44G6. In this proposed work a detailed discussion has been presented on manual calibration and Genetic Algorithm (GA) based optimization of Chaboche parameters. Due to lack of fiber orientation dependent test data for Ultramid A3U44G6, here von Mises yield
Basu, Parichay, Srinivasappa, Naveen
Methodology for Shower Water Management in Electric Car Applications2026-28-0068To be published on 02/12/2026
All automotive vehicles with enclosed compartments must pass the Shower test standard - IS 11865 (2006). One of the most severe and critical areas of water leakage is “Water entry into HVAC opening”. Excess water flow in high-pressure conditions and seepage during long-time low-pressure conditions could potentially have a significant impact on water entry inside the HVAC suction cutout and subsequently into the cabin. The study clearly indicates that for making leak proof HVAC opening (suction interface), it is crucial for the structure of BIW Plenum, Trim Applique and its sealing components to be robust enough to effectively collect and divert the water during shower test condition. This robustness is necessary to ensure leakage prevention thru HVAC cutout in varying rain scenarios during customer usage of the vehicle. A systematic approach is followed for assessing leak tightness of the HVAC area. 1. CFD simulation performed to verify the flow path of water during shower test. It is
Gunasekaran, Mohanraj, NAMANI, Prasad, Ramaraj, Rajasekar, Junankar, Ashish, Raju, Kumar
MINER’S SAFETY BOT2026-28-0116To be published on 02/12/2026
Mining remains one of the most hazardous industries, with workers constantly exposed to life-threatening conditions such as toxic gases, high temperatures, and confined spaces. To address these concerns, we propose the design and development of an autonomous Miner’s Safety Bot aimed at enhancing underground safety through real-time environmental monitoring and intelligent navigation. The system is built around the ESP32 microcontroller, integrating critical sensors including the MQ7 gas sensor for detecting carbon monoxide and methane, the DHT11 sensor for measuring ambient temperature, and an ultrasonic sensor for obstacle detection. These components work to monitor hazardous parameters and assist the bot in navigating through narrow mine shafts. A servo motor connected to a remote-controlled chassis adjusts the bot's direction when obstacles are detected. The bot employs the ESP32-CAM module to transmit live visuals from the mining site to external observers. Furthermore, sensor data
D, SUCHITRA, D, ANITHA, MUTHUKUMARAN, BALASUBRAMANIAM, MOHANRAJ, SIDDHARTH, SUBASH CHANDRA BOSE, ROHAN
Common Mode Voltage Reduction in Quasi-Z Source Inverter for Electric Vehicle Applications Using MBPWM Technique2026-28-0102To be published on 02/12/2026
Unlike traditional voltage source or current source inverters, ZSI/qZSI can boost and invert DC power in a single stage, making them attractive for applications like EVs where battery voltage may vary. Common mode Voltage (CMV) is the voltage between the neutral point of the motor and ground. High CMV in motor drive systems can cause: Higher leakage currents, Electromagnetic interference (EMI), Insulation stress, bearing currents, leading to premature motor failure. Reducing CMV is essential for reliable and safe EV operation. Pulse-width modulation (PWM) is used to control the QZSI output voltage. The QZSI offers several advantages over traditional inverters, including improved efficiency, reduced cost, and increased reliability. The proposed system is designed to reduce the CMV through a combination of passive LC filtering and shoot-through (ST) modulation techniques. The LC filter is designed to attenuate high-frequency components of the CMV while the ST modulation is used to
N, Kalaiarasi, R, Rajarajeswari, D, Anitha
Reduction of Inductive Losses in Electric Vehicle Wireless Charging through Resonant Coupling2026-28-0123To be published on 02/12/2026
The growing awareness about sustainability and environmental concerns are accelerating the adoption of electric vehicles. They play a promising role due to their potential to significantly reduce greenhouse gas emissions, improve air quality and lessen reliance on fossil fuels. However, one of the primary concerns for potential buyers is the charging process and infrastructure. Traditional wired charging systems for electric vehicles face limitations such as user inconvenience, wear and tear of connectors and challenges in automation. As a solution, wireless electric vehicle charging has emerged, offering a more user-friendly, automated and contactless method of charging by eliminating the need for physical connectors. Wireless charging can be implemented through various approaches, primarily including inductive and resonant methods. Inductive charging suffers from relatively low efficiency due to higher energy losses during transmission. On the other hand, resonant coupling
Shaik, Amjad, Gudipati, Ravi Sai Hemanth, B, Vikranth Reddy, Anudeep, D B S S, Varshith, Dasari
Automotive Ethernet Proxy-Based Security Architecture In Vehicle Computers2026-28-0121To be published on 02/12/2026
Modern vehicles require sophisticated, secure communication systems to handle the growing complexity of automotive technology. As in-vehicle networks become more integrated with external wireless services, they face increasing cybersecurity vulnerabilities. This paper introduces a specialized Proxy based security architecture designed specifically for IP-based communication within vehicles. The framework utilizes proxy servers as security gatekeepers that mediate data exchanges between Electronic Control Units (ECUs) and outside networks. At its foundation, this architecture implements comprehensive traffic management capabilities including filtering, validation, and encryption to ensure only legitimate data traverses the vehicle's internal systems. By embedding proxies within the automotive middleware layer, the framework enables advanced protective measures such as intrusion detection systems, granular access controls, and protected over-the-air (OTA) update channels. This strategy
M, Arvind, Praneetha, Appana Durga, Remalli, Ravi Teja
Numerical Study of Battery Pack Cooling for Electric Vehicles2026-28-0110To be published on 02/12/2026
Auto manufacturers are increasingly adopting lithium-ion batteries in response to the rapid evolution of electric vehicle technology. These batteries are being integrated into existing vehicles and planned as the primary power source for new models. Many lithium-ion batteries employ air cooling for safety reasons, due to convenience and cost-effective. This study investigates the cooling efficiency of electric vehicle battery packs using a U-shaped domain with various air-inlet sizes and velocities. Results indicate that air intake position and velocity significantly impact the ability to cool the battery pack. Shifting the air intake point from 30 mm to 20 mm lowers the highest temperature by 3.46 K. Increased air velocity causes a ripple-around effect, reducing the temperature in the second part of the battery pack. Balancing these variables can optimize air circulation and enhance convective heat transfer, potentially improving cooling effectiveness. These insights are valuable for
PC, Murugan, J, Sivasankar, W, Beno Wincy, G, Arun Prasad
STEERING AUTOMATION FOR LANE KEEP ASSISTANCE2026-28-0117To be published on 02/12/2026
The design of advanced driver-assistance systems (ADAS) is essential to improve the safety and autonomy of vehicles in harsh conditions. This work introduces the design and development of a steering automation system for Lane Keep Assistance (LKA) in a vehicle with a parallel steering system. The system utilizes an ArduCam module to take real-time images of the ground in front, and these are processed via machine learning techniques on a Raspberry Pi in order to identify lane edges with great precision. The corrective steering maneuvers are carried out by a motorized steering actuator based on the visual data after processing, and an encoder that is built into the actuator constantly tracks the steering angle and position. This closed-loop feedback affords accurate, real-time corrections to ensure lane discipline without driver intervention. Extensive calculations for steering effort, torque, and gear design confirm the system's mechanical viability. Combining low-cost vision sensing
A R, Arundas, Sadique, Anwar
UNMMANED AERIAL VEHICLE FOR FIREFIGHTING ON HIGH-RISE STRUCTURES2026-28-0115To be published on 02/12/2026
Fires in Urban high-rise structures and industrial areas pose significant challenges to traditional firefighting methods. Traditional firefighting methods often struggle to address the challenges posed by height, accessibility and rapid response. In such a scenario innovative technologies become vital for effective and efficient methods. This project introduces an unmanned aerial vehicle designed to suppress fire on high-rise building by using drone technologies and robotics. The drone is equipped with a stereo camera which will detect fire and measure its coordinates with the help of algorithms fed on the companion computer. Upon receiving the coordinates, the drone will station itself at a predetermined distance from the fire. The drone will adjust itself in the vertical direction for proper ejection of water at the fire. The water will be ejected through a nozzle integrated with the drone, which is connected to the pump at the ground via hose. This paper includes the details of the
R, Abhiram, Sadique, Anwar, PV, Anurag, J, Harisankar V, A, Geethu, vs, Amarnath
Structural Redesign and Functional Integration of an Electrohydraulic Brake Valve for Enhanced Performance and Manufacturability2026-28-0002To be published on 02/12/2026
The Electrohydraulic Brake Valve (EBV) is a critical component in full-power brake systems, particularly in heavy-duty and off-highway vehicles, where precise braking control and system reliability are paramount. This paper presents a comprehensive cost and weight optimization initiative focused on the EBV housing, which currently accounts for approximately 75% of the total assembly weight due to its bar-machined construction. The project involved a complete redesign of the EBV housing with the dual objective of reducing mass and enhancing functionality. Key improvements include the integration of sensor ports for real-time pressure monitoring, a dedicated provision for nameplate mounting to support customer traceability, and a transition to a cast-based design optimized through advanced core modeling. Material substitution and structural simplification were explored to further improve manufacturability and cost-efficiency. Finite Element Analysis (FEA) was employed to validate the
R, Thangarajan
Preliminary Design and Analysis of Dual Throat Fluidic Thrust Vectoring Nozzle for Supersonic Aerospace Application2026-28-0106To be published on 02/12/2026
The project investigates the performance characteristics of dual-throat nozzle used for fluidic thrust vectoring (FTV) in supersonic aircraft applications, offering a potential alternative to mechanical vectoring methods. Fluidic thrust vectoring provides benefits such as reduced weight, lower radar signature, and improved manoeuvrability and control. Computational methods are used to study the effects of geometric and operational parameters, including nozzle pressure ratios and secondary injection rate and injection angle, on thrust-vectoring efficiency and system dynamics. The study aims to develop optimized design configurations and validate using computational models.
Suresh, Vignesh, M, Akash, SENTHILKUMAR, NIKIL, Sundararaj, Senthilkumar, A, Garry Kiristen, Singh, Swaraj
Life Cycle Assessment for Sustainable EV Battery Recycling: A Technical Framework for EBRR.2026-28-0092To be published on 02/12/2026
This technical paper presents a comprehensive framework for implementing a Life Cycle Assessment (LCA) project at EV Batteries Recycling and Regulation (EBRR), focusing on lithium-ion batteries (LIBs) used in electric vehicles (EVs). It identifies key environmental hotspots across resource extraction, battery manufacturing, usage, and end-of-life (EoL) stages. The study evaluates recycling techniques—namely pyrometallurgy, hydrometallurgy, and cascade reuse—to quantify environmental benefits and emission reduction opportunities. The paper uses a cradle-to-grave system boundary with LCA - Ecoinvent datasets, applying ISO 14040/44 standards. Results show that manufacturing accounts for over 60% of life cycle emissions, primarily driven by energy intensity. Transitioning to renewable energy and adopting hydrometallurgical recycling can reduce Global Warming Potential (GWP) by up to 40%. Cascade reuse, when combined with hydrometallurgy, offers the best outcomes with GWP as low as 200 kg
Asokan, Gayathri, Raju cEng, Rajkumar, Dhananjaya, Chandan, Sattigeri cEng, Sudhir V
Computational study on dynamic handling performance of a retro-fitted Electric Two wheeler using 125cc powered ICE reference2026-28-0047To be published on 02/12/2026
With the development in motor technology and battery manufacturing technologies, the scope for a budget working 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
Sankarasubramanian, Hariharan, M, Shaghasra, V, Ramprathap
Development of Multiple level Auto Mode for Climate control in electric vehicles2026-28-0008To be published on 02/12/2026
Electric vehicles, or EVs, are significantly transforming the automotive industry as a cleaner and more environmentally friendly which finds an alternative solution for the vehicles propelled using internal combustion engines. As EV utilize the energy directly from the battery which causes customer or a user to be in panic state as charging infra is not developed well in most of the countries, thus improving vehicle efficiency and driving range requires optimizing energy consumption from battery of EVs. Apart from traction motor load for driving, major supplemental loads in electric car are climate control system, sometimes referred to as HVAC (Heating, Ventilation, and Air Conditioning). HVAC systems can consume a lot of battery power, especially during severe temperatures, which can drastically reduce the vehicle's range. Range anxiety continues to be an important barrier to the general adoption of EVs, the intelligent climate management systems which helps to reduce HVAC power usage
Mulamalla, Sarveshwar Reddy, SV, Master Eniyan, M, Nisshok, Anugu, Anil, E A, Muhammed, Guturu, Sravankumar
Galvanic Corrosion Susceptibility Analysis and Mitigation strategies in Automotive Battery Packs2026-28-0018To be published on 02/12/2026
As electric vehicles continue to revolutionize transportation, ensuring the reliability of their powertrain systems and battery packs has become a critical focus. One key challenge is galvanic corrosion, which occurs when dissimilar metals in contact are exposed to an electrolyte, such as seashore moisture or road salt used in snow or ice zones. This corrosion can weaken structural components, compromise electrical conductivity, and reduce the lifespan of critical systems. Common areas at risk include metallic joints within battery enclosures, busbars, cooling systems, and electrical connectors. Environmental factors such as high humidity and temperature fluctuations further amplify the issue, making it a pressing concern for manufacturers. This paper aims to systematically identify critical galvanic joints within electric powertrain systems and battery packs and provide effective strategies to mitigate corrosion risks. Preventative measures include choosing compatible materials with
NARAIN, ADITYA, Venugopal, Sivakumar, Gopalan, Vijaysankar, Varatharajan, Senthilkumaran
Design evolution of novel rear sub frame structure for multilink suspension and electric vehicle platform2026-28-0007To be published on 02/12/2026
As there is a major shift in customer demand for energy efficient transportation electric vehicle development has taken immediate significance worldwide as they provide pollution free, noise free mobility environment. In the current work, the authors evaluate novel Rear sub-frame assembly structure with multilink suspension and further for a born electric vehicle platform with increased rear axle weight contribution due to rear motor and battery weight. The Sub Frame is the important structural component of the chassis system. Hence designers face the challenge of providing a best-in-class optimized Rear sub-Frame in terms of cost and weight within the available vehicular boundary. Rear sub-Frame assembly is designed with unique cross member structure and novel motor mounting arrangement on the side member with the given complex hard points or attachments of the suspension linkages, to meet the electric vehicle packaging requirement. Sub frame is designed with light weight to withstand
Nidasosi, Basavraj Maruti, J, Ramkumar, NAYAK, Bhargav, MANI, ARUN, M, Sudhan
Dual use of Electric Vehicle infrastructure for Enhancing Grid Resilience and Urban Sustainability2026-28-0114To be published on 02/12/2026
The rapid global adoption of Electric Vehicles (EVs) has led to a surge in the deployment of EV charging stations. Beyond their primary role of vehicle charging, these stations hold potential as dynamic, grid-connected assets for sustainable cities and communities (SDG 11). When integrated with renewable energy sources such as wind or solar, EV charging stations can function as decentralized power units, supplying energy to the grid during times of need. This dual functionality allows them to act as flexible loads that mitigate voltage fluctuations during grid faults, facilitating access to reliable energy (SDG 7). Utilizing existing EV infrastructure in this way reduces the need for additional grid-support devices and supports resource efficiency (SDG 13) promoting a low-carbon energy transition. However, their ability to support the grid is limited when fully committed to meeting charging demands, especially during grid faults. To address this challenge, a novel coordinated operation
R, Uthra, Rangarajan, Ravi, D, Suchitra, D, Anitha
Development of Plug-in Hybrid Motorbike and Analysis towards Sustainable Urban Mobility2026-28-0111To be published on 02/12/2026
The transportation system is one major catalyst to urban ecological imbalance. In developing countries, two-wheelers are considered a major mode of urban personal transportation because of their compactness, easy maneuver in heavy traffic and good fuel efficiency. In India, middle and lower middle-class people prefer to choose two wheelers and these vehicles are dominantly fueled by gasoline. Although, the energy consumption by a two-wheeler is comparatively less than that of a four-wheeler, they use about 60% of the nation's petroleum for on-road vehicles and the impact on urban air quality and climatic change is significantly high. This high proportion of gasoline utilization and emission contribution by two wheelers in cities demand greater attention as a way to improve urban air quality and near-term energy sustainability. Electrification of two-wheelers through the application of a plug-in hybrid idea is a promising solution. A plug-in hybrid motorbike was developed by putting
Kannan, Prashanth, Shaik, Amjad, Talluri, Srinivasa Rao
A Nature-Inspired Optimization Approach for Vienna Rectifier Control in EV Fast Charging Applications: Performance Comparison with NPC and Swiss Topologies2026-28-0112To be published on 02/12/2026
The growing adoption of electric vehicles (EVs), particularly those utilizing High Voltage battery systems, demands fast-charging infrastructure that ensures high efficiency and power quality. This study proposes a Golden Jackal Optimization (GJO)-based control strategy for a Vienna rectifier used exclusively in a High Voltage EV fast-charging system. Unlike conventional systems that incorporate an additional DC-DC converter stage, the proposed architecture utilizes only the Vienna rectifier for AC-DC conversion, thereby reducing system complexity and improving overall reliability. The GJO algorithm, inspired by the cooperative hunting behavior of golden jackals, is employed to optimize the switching control parameters of the Vienna rectifier, enhancing system performance in terms of efficiency, power factor correction (PFC), and total harmonic distortion (THD). A detailed comparative analysis is performed between the Vienna rectifier, Swiss rectifier, and Neutral-Point Clamped (NPC
R, Mohammed Abdullah, N, Kalaiarasi
Quantifying the Energy Consumption of HVAC Operation and Its Impact on the Range of Electric Buses Across Diverse Climatic Conditions2026-26-0204To be published on 01/16/2026
Electric buses (e-buses) are essential to sustainable public transport, but their real-world efficiency and range are heavily affected by auxiliary systems, particularly the Heating, Ventilation, and Air Conditioning (HVAC) system. This study investigates how ambient temperature variations and HVAC loads influence energy consumption, range, and efficiency in e-buses operating under diverse climatic conditions. The methodology combines field data collection from urban e-buses across seasons—including extreme summer and winter—with controlled lab testing. Field measurements included ambient temperature, HVAC demand, vehicle speed, state of charge (SOC) variation, and energy consumption. These inputs were used to develop real-world duty cycles, replicating actual thermal loads, passenger profiles, idling periods, and driving patterns. In the lab, these cycles were simulated using a chassis dynamometer and environmental chamber, with HVAC systems tested at controlled ambient temperatures
Vishe, Prashant, Dalela, Saurabh, Saraswat, Shubham, Joshi, Madhusudan
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
Mahajan, Prasad, Kesarkar, Sidhesh, Ali, Shoaib
Swarm-Inspired Cooperative Mapping for Urban Autonomous Navigation2026-26-0635To be published on 01/16/2026
Urban autonomous vehicles today largely rely on individually built maps or centralized cloud services—both rigid under intermittent connectivity and rapid scene changes (construction, pop-up events). Inspired by how ant colonies collectively explore, we introduce a decentralized protocol: each vehicle broadcasts compressed “map particles” embedded with virtual pheromone values that highlight zones of high uncertainty or recent change. Neighboring vehicles incorporate these signals to prioritize sensing and route planning. A lightweight consensus algorithm merges local graphs into a shared dynamic map, resilient to network splits. The result, a bio-inspired SLAM that enables fleets to adapt on the fly to evolving cityscapes, boosting safety, efficiency, and robustness.
Bhargav, Anirudh S, Subbarao, Chitrashree
Real-time range optimization for selected destinations by Dynamic Energy Management Strategy (DEMS) in BEV’s2026-26-0168To be published on 01/16/2026
The automotive industry has undergone significant transformation with the adoption of electric vehicles (EVs). However, to tackle range anxiety, the focus has shifted to energy management strategies for optimal range under different driving conditions. Developing an optimal energy management algorithm is crucial for overcoming optimal range and gaining a competitive edge in the market. This paper introduces a Dynamic Energy Management Strategy (DEMS) for electric vehicles (EVs), designed to optimize battery usage and extend driving range. Utilizing vehicle digital twin model, DEMS estimates energy consumption across Eco, Normal, and Sports driving modes by analyzing vehicle velocity profiles and pedal inputs. By calculating actual battery consumption and pinpointing excess power usage, DEMS operates in a closed loop to periodically assess the power gap based on real-time vehicle conditions, including HV components like the Electric Drive system, DCDC, E-compressor and E-Heater; and
Dey, Supriyo, Venugopal, Karthick Babu, Penta, Amar, Kumar, Rohit, Arya, Harshita
Electric Vehicle Battery’s Testing Challenges in era of Software Defined Vehicle2026-26-0159To be published on 01/16/2026
In era of Software Defined Vehicle (SDV), the whole ecosystem of automobile will be impacted. So, it is going to through several challenges for testing activities. In electric vehicle, most critical component is traction battery, which is controlled and operated through battery management system (BMS). BMS is an electronic system, where is going to function as per software of BMS. And in SDV, software is a key element, which is continuously keep on updating on regular basis. So, it means some of BMS functionalities, features or performance may be also altered on each time on software update, which may impact battery’s operating condition, if some scenario is not evaluated during earlier testing, then there are it may bring battery out of safe operating area, which may significantly impact battery safety, performance or cycle-life. In this paper, we are exploring that different testing requirements for EV Batteries, which may be part of testing practices under era of SDV. Here we will
Bhateshvar, Yogesh Krishan, Mulay, Abhijit B
Comprehensive Insights on Techniques for Managing and Preventing Thermal Runaway in EV Lithium-Ion Batteries.2026-26-0171To be published on 01/16/2026
This paper presents a comprehensive investigation into the mechanisms, risks, and mitigation strategies associated with thermal runaway in lithium-ion batteries used in electric vehicles (EVs). It begins by emphasizing the urgency of the issue, identifying key vulnerabilities within EV battery systems that contribute to runaway events. A multiscale, stage-wise breakdown of thermal runaway progression is provided, illustrating how physical, chemical, and thermal interactions compound during failure scenarios. The study analyzes global incident data from 2000 to 2025, revealing trends in human health impacts, vehicle damage, and public safety concerns. Particular attention is given to how battery aging, manufacturing defects, and external abuse conditions elevate the likelihood and severity of thermal runaway. Current emergency response protocols and state-of-the-art mitigation technologies are critically evaluated to identify best practices and existing gaps in safety management. A
Jain, Gaurav, Premlal, P, Pathak, Rahul, Gore, Pandurang
EV Battery Evolution in India: Challenges, Innovation, and Policy Synergy2026-26-0174To be published on 01/16/2026
In the pursuit of sustainable transportation and energy security, India is placing increased focus on addressing the multifaceted challenges associated with electric vehicle (EV) battery technology. As a cornerstone of EV performance and adoption, battery systems in India face critical issues such as high import dependency, limited local manufacturing capabilities, cost inefficiencies, safety concerns, and lack of standardized design frameworks. This paper presents a comprehensive analysis of India's evolving battery ecosystem, emphasizing indigenous design, development, and scalable in-house manufacturing under the "Make in India" initiative. It examines supportive government policies, strategic public-private partnerships, and the pivotal role of research institutions in fostering innovation and overcoming original equipment manufacturers' (OEMs) and end-users' concerns. It also focus on prototype product development challenges. Through detailed case studies, technological reviews
Thorat, Jalindar Sukhadev, Sandhu, Jivraj Singh, Kumar, Dharmendra
Developments in 2-Wheeler Electric Vehicle Architecture2026-26-0199To be published on 01/16/2026
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
Performance Enhancement and Safety Discharge Control Strategies for SPMSM in Automotive Applications.2026-26-0179To be published on 01/16/2026
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 are focused. 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-efficient and intelligent motor control systems.
Munnur, Swathi, Gandhi, Nikita, Tendulkar, Swati, Masand, Deepika, Murty, V. Shirish, Peruka, Mahesh
Intelligent Sequential Charging Control via Fleet-Managed Cloud System2026-26-0207To be published on 01/16/2026
Electric Vehicles (EV) are increasingly becoming more and more popular in the markets, especially in the commercial vehicle segments. Amidst this, the need to find new elegant methods to perform charging of EV battery becomes extremely crucial. In areas with high demand and limited power capacity, performing charging for multiple vehicles necessitates efficient usage of charging infrastructure, which can’t be guaranteed by the traditional charging methods. Sequential charging is a new state of art technique for managing the charging of multiple EV’s simultaneously connected to a single charging station. Rather than dividing the available power equally among all connected vehicles or charging them one at a time, this technique dynamically allocates power based on various factors such as charging priority, vehicle needs and available infrastructure capacity. Currently, sequential Charging can only be implemented by a particular set of chargers that are interconnected via backend and
De, Abir, Bhattacharya, Ullash, Parihar, Aakash
Improve the electric vehicle range by using the climate control setting in economy mode at hot climatic conditions2026-26-0172To be published on 01/16/2026
Electric vehicles (EVs) have surged in popularity in recent years due to their environmental benefits. The influence of range on air conditioning (AC) power consumption is a critical concern for electric vehicle (EV) owners, particularly in warmer climates. Overcoming obstacles such as a limited vehicle range is necessary for the increased use of electric-powered automobiles. Cabin heating and cooling demand for climate control consumes more energy from the main battery and has been revealed to significantly reduce vehicle range. During peak cooling or heating, the overall power consumption of the AC system takes almost 50% of the energy used for traction. The average reduction in driving range caused by air conditioning (heating and cooling) approximates 33%. The energy usage of an electric vehicle can be considerably decreased by switching the climate control setting to economy mode. The AC system will operate more effectively, enabling the vehicle to save energy and extend its range
Mulamalla, Sarveshwar Reddy, Anugu, Anil, E A, Muhammed, Ummiti, Kumar, M, Nisshok, Choudhary, Ankit
A Comprehensive Study: The Potential of Wireless Charging in Future E Mobility.2026-26-0195To be published on 01/16/2026
Electric mobility is no longer a distant vision, it is a global imperative in the journey of fight against the climate change and the urban pollution. Yet, despite of explosive growth in the electric vehicle adoptions, a major bottleneck remains which is efficient and convenient charging. The current reliance on physical plug in charging station creates inconvenient, time consuming experience and also faces significant technical and economic challenges those threaten to stall the smooth clean transportation revolution. Without innovation in how we recharge our vehicle the promise of electric mobility appears under threat which is undermined by less efficient, less compatible, and infrastructure hurdles. Wireless charging technology stand out as the game changing breakthrough poised to tackle these all critical problems head on. By enabling the effortless, cable-free charging system across the wide spectrum of electric vehicles, from the personal cars to the public transport fleets and
Jain, Gaurav, Premlal, P, Pathak, Rahul, Gore, Pandurang
Review on Conducted EMI by different PWM schemes in the EV Inverters2026-26-0181To be published on 01/16/2026
The advent of wide bandgap (WBG) switching MOSFET devices enables high-frequency operation, allowing for significant reductions in the size of passive components such as inductors and capacitors, and improving the overall efficiency of inverter systems. However, these benefits come with the trade-off of increased electromagnetic interference (EMI), which imposes stringent requirements on filter design. The complexity of designing EMI filters, which depends heavily on switching frequency and applicable EMI standards, presents a significant challenge and can impact development timelines. Carrier wave modulation technique is considered as an effective method for minimizing conducted EMI in traction inverters. This article presents various carrier wave modulation schemes that successfully reduce conducted EMI. The evaluated strategies aim to eliminate noise fluctuations and simplify the design of demanding EMI filters. Additionally, the impact on output voltage, output current, total
R, Kodeeswaran, Kuncham, Sateesh Kumar, Kolhatkar, Yashomani
Applicability of EMC Validation for EV powertrain components2026-26-0197To be published on 01/16/2026
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. 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 12/24V 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 major revisions. It is important to consider these changes while performing EMC test. This paper
Yeola, Mayur, Mulay, Abhijit B, Swaminathan, Ganeshan
Predictive Modelling of Battery Behavior for Enhanced Energy Management in Electric Vehicles2026-26-0385To be published on 01/16/2026
As electric vehicles (EVs) and smart energy systems continue to evolve, optimizing energy usage and ensuring system reliability has become critical. However, battery pack modelling remains challenging due to its highly dynamic and nonlinear behavior due to the temperature variations, aging, and variable load conditions. This paper presents a 1D digital twin framework designed for predictive monitoring of the battery parameters, including State of Charge (SoC), terminal voltage, temperature, and an indicative assessment of State of Health (SoH). The battery is modelled using a Thevenin equivalent circuit that covers both steady-state and dynamic electrical characteristics. Key parameters such as open-circuit voltage (OCV), internal resistance, and dynamic characteristics were derived through pulse testing conducted in our laboratory. A thermal modelling is done to capture the heat generation and cell temperature. SoC estimation is carried out using the Coulomb counting method and
G, Ayana, Gumma, Muralidhar
Comparative Analysis and Implementation of data streaming methodologies for Vehicle Navigation Mode for Electric Trucks2026-26-0692To be published on 01/16/2026
In the realm of electric truck logistics, optimizing route planning is essential. This paper presents a key navigation feature for analyzing such optimized routes. Integrating map features into the drive mode improves user experience by offering real-time navigation and dynamic route adjustments based on traffic updates, road closures, and vehicle coordinates. This study compares the performance of Server sent events(SSE), web sockets and API polling methodologies, focusing on metrics such as data transmission efficiency, latency, resource utilization, scalability, and reliability. Our findings demonstrate the advantages and limitations of each method, providing insights into their suitability for real-time route optimization in electric truck logistics. The results highlight the potential of SSE in achieving efficient and timely data updates, contributing to more effective route planning and resource management. Additionally, we discuss how API Polling, Web sockets, and SSE each make
Bhandari, Mehul, Kaur, Prabhjot, Dadoo, Vishal, Mahendrakar, Shrinidhi, Ramanaiah, Rachala
Simulation of EV range Estimation for different payload of vehicle.2026-26-0389To be published on 01/16/2026
The electrification of transportation is reshaping the automotive and logistics industries, with electric vehicles (EVs) playing an increasingly central role in passenger mobility and commercial operations. As EV adoption grows, the need for accurate range estimation becomes critical, particularly under varying operational conditions such as increased payload. A key business challenge lies in the significant variability of EV range due to changes in vehicle load, which can affect performance, operational efficiency, and cost-effectiveness—especially for fleet-based services. This study focuses on addressing the technical gap in predicting EV range with respect to different payload conditions. Traditional range estimation methods often fail to account for real-world variables like additional cargo weight, leading to suboptimal route planning, increased energy consumption, and unanticipated charging requirements. Payload-induced range degradation can result in up to some deviation in
Khatal, Swaraj, Gupta, Anjali, Krishna, Thallapaka
State of Health Estimation in Lithium-Ion Batteries: Methods, Comparisons, and Future Directions2026-26-0208To be published on 01/16/2026
As the world is moving towards electric vehicles , we are observing a wide use of Lithium-Ion batteries in modern transportation. Lithium-Ion Batteries offer several advantages over conventional battery systems, including higher energy density that is energy stored per unit mass, longer Cycle Life, faster Charging rates, low Self-Discharge, lighter weight, and ease of maintenance as the memory effect present in other batteries is absent . Of course, challenges remain, e.g. accurate battery State of Health (SOH) estimation which stays as an indispensable parameter for safety and useability. Inaccurate SOH estimation can lead to unexpected vehicle behavior and a degraded end-user experience, especially due to incorrect "distance to empty" predictions. Also, different battery chemistries present various challenges, creating need of tailored models. In this paper, different SOH estimation techniques are reviewed and compared in detail . The SOH estimation approaches are broadly classified
Patel, Parvez, Bhagat, Ayush
CS Structure: New generation metallic catalyst substrate for 2- and 3-Wheeler applications2026-26-0220To be published on 01/16/2026
Affordable, efficient and durable catalytic converters for the two and three-wheeler industry in developing countries are required to reduce vehicle emissions and to maintain them at a low level; and therefore to participate in a cleaner and healthier environment. Especially, Metallic catalyst substrates from Emitec Technologies GmbH with structured foils like the Longitudinal StructureTM (LS) are fully compatible to this effort with more than 90% share of produced 2/3 Wheelers metallic catalyst substrates for the Indian customers in 2024. One decade after the market introduction of this LS structure, Emitec Technologies GmbH will introduce now a new generation of foil structure: the Crossversal StructureTM (CS) that improves further the affordability, the efficiency of metallic catalytic converters, keeping the durability at same level than previous substrate generation. The paper will briefly review the development of metallic substrates for 2/3 wheelers applications, especially the
Jayat, Francois, Seifert, Sven, Bhalla, Ashish, Ganapathy, Narayana Prakash
Evaluating the Environmental Footprint of Electric Vehicles: A Life Cycle Assessment Approach for Sustainable Mobility in India2026-26-0235To be published on 01/16/2026
Road transport contributes 12% of India's energy-related CO2 emissions and is a major source of urban air pollution. These emissions have tripled since 1990, driven by rapid urbanization and the growing demand for private vehicles. Without a shift away from fossil fuels, these trends will intensify climate and air quality challenges. Among sustainable alternatives, electric vehicles (EVs) have emerged as a promising solution. However, a comprehensive understanding of their environmental performance, particularly in the Indian context, is essential for informed decision-making. This study employs a Cradle-to-Grave Life Cycle Assessment (LCA) to evaluate the environmental impacts of typical passenger vehicle with a ICE engine compared to its EV powertrain. Key life cycle stages-manufacturing, transportation, distribution, maintenance, and end-of-life-are analysed using real-world data wherever feasible. To capture the evolving energy landscape, the study incorporates India's projected
Sonawane, Nayan, Sathaye, Asmita, Gode, Abhishek, Deshpande, Ashish, Shinde, Harshavardhan, Kothe, Anjali
Evaluation of Waste Heat Recovery technology in FCEV on different drive-cycles2026-26-0259To be published on 01/16/2026
Growing global warming and the associated climate change have expedited the need for adoption of carbon-neutral technologies. The transportation sector accounts for ~ 25 % of total carbon emissions. Hydrogen (H2) is widely explored as an alternative for decarbonizing the transport sector. The application of H2 through PEM Fuel Cells is one of the options available for the trucking industry, due to their relatively higher efficiency (~50%) and power density. However, at present the cost of an FCEV truck is considerably higher than its diesel equivalent. Hence, new technologies either enabling cost reduction or efficiency improvement for FCEVs are imperative for their widespread adoption. FCEVs have a system efficiency in the range of 40-60% implying that around half of the input energy is lost to the atmosphere as waste heat. However, recapturing this significant amount of low-grade waste heat into useful work is a challenge. This paper discusses the feasibility of waste heat recovery
P V, Navaneeth
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
Enhancing Factory Modelling: Integrating Drone Technology and Automated Post Processing Systems2026-26-0307To be published on 01/16/2026
The growing environmental, economic, and social challenges have spurred a demand for cleaner mobility solutions. In response to the transformative changes in the automotive sector, manufacturers must prioritize digital validation of products, manufacturing processes, and tools prior to mass production. This ensures efficiency, accuracy, and cost-effectiveness. By utilizing 3D modeling of factory layouts, factory planners can digitally validate production line changes, substantially reducing costs when introducing new products. One key innovation involves creating 3D models using point cloud data from factory scans. Traditional factory scanning processes face limitations like blind spots and periodic scanning intervals. This research proposes using drones equipped with LiDAR (Light Detection and Ranging) technology for 3D scanning, enabling real-time mapping, autonomous operation, and efficient data collection. Drones can navigate complex areas, access small spaces, and optimize factory
Narad, Akshay Maruti, C H, Ajheyasimha, Vijayasekaran, Vinothkumar, Fasge, Abhishek
Thermal Management of High-Voltage Connectors using double-layered Phase-Change Materials (PCM)2026-26-0279To be published on 01/16/2026
Abstract: High Voltage cables and terminals are prone to high temperatures and rapid heat generation due to high current ratings, especially in electric vehicles (EVs). If the temperature exceeds a critical limit, danger may be posed to the components which are connected and the overall safety of the passengers. Traditionally, cooling methods are often energy-intensive and rely on active systems, which may not always be practical for high-power applications. Thus, a localized, fast, and reliable passive thermal management methodology that can be retrofitted into existing connector designs through modifications (e.g., enlargement and PCM integration) would provide significant safety enhancement. The material property of phase change materials, which possess high latent heat, has been used to maintain a steady temperature for a period of time. A dual PCM-layer has been incorporated into the design of the high-voltage connector to serve two purposes:1. The first PCM layer (PCM-1), with
Neogi, Angshuman, Shinde, Shardul
Structural and Micro-Geometry Optimization of an Electric drive unit for Whine Noise Reduction2026-26-0315To be published on 01/16/2026
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
To study and compare communication protocol for fast charging in electric two-wheeler with respect to CCS 2.0: An Indian Perspective2026-26-0198To be published on 01/16/2026
India, as the world’s largest two-wheeler market, is witnessing an aggressive transition towards electric mobility, driven by urban air quality concerns, fuel cost sensitivity, and government incentives. Among the critical enablers of this shift is the availability of robust and efficient fast charging infrastructure tailored to electric two-wheelers. This paper proposes a systematic testing framework for fast charging of electric two-wheelers, addressing key parameters such as battery thermal management, charging communication protocols, safety interlocks, and State of Charge (SOC) estimation accuracy. The study evaluates current and emerging standards, including AIS-156, IS 17017, and IEC 61851, and identifies gaps specific to two-wheeler applications such as compact form factor constraints, lower energy storage, and high operational turnover in fleet usage. A special focus is placed on interoperability, user safety, and infrastructure scalability for dense urban environments. The
Uthaman, Sreekumar, Mulay, Abhijit B
Investigation and Reduction of Road Noise due to transient road inputs in Electric Vehicle2026-26-0358To be published on 01/16/2026
Higher road noise is perceived in the cabin when the test vehicle encounters road irregularities like bump or pothole in the public roads. The sudden transfer of transient road inputs inside the body caused objectionable cabin noise. Measurements are conducted on the test track at different road surfaces to identify the patch where the objective data well correlated with the noise measured at the public road. Wavelet analysis is carried out to identify the frequency zones since the events are transient in nature. Transfer Path Analysis (TPA) is conducted in both time domain and frequency domain to identify the nature of the noise and the limitation in each of the methodologies are explained. The dominant path through which the transient road forces are transferring inside the body are also identified. Based on the outcome of TPA, various countermeasures like reduction of dynamic stiffness of suspension and cradle bushes , structural modifications on the path are proposed to reduce the
S, Nataraja Moorthy, Rao, Manchi, Selvam, Ebinezer, Raghavendran, Prasath
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