Browse Topic: Electrical systems

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Battery Thermal Management Approach for 2-Wheeler Electric Vehicles – An Indian Case Study2026-26-0151To be published on 01/16/2026
India's electric 2-wheeler (E2W) market has witnessed fast growth, driven by lucrative government policies. Two-wheeler market captures 73% volume of total Indian automotive market, representing the largest segment (Greaves Electric Mobility Limited report 2024). Consequently, all manufacturers of 2-wheelers are developing new electric vehicles (EV) tailored for the Indian market. However, the Indian EV market has witnessed multiple fire accidents in recent years, raising safety concerns among consumers and industry stakeholders. These incidents highlight key weakness in battery thermal management systems (BTMS), particularly during charging. Most existing E2W BTMS relies on passive air cooling, which has been associated with fire incidents due to its inefficiency in heat dissipation, particularly charging in India's high-temperature environment. Therefore, it is imperative to build thermally viable and economical BTMS for the growing E2W vehicles with fast charging capability. The
Emran, Ashraf, Sankhla, Harsh, Garg, Shivam, Raut PhD, Ankit, Hiremath, Vinodkumar, Berry, Sushil
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
State-of-the-Art Battery Thermal Management Technologies for SCV EV: An Integrated Approach to Enhance Energy Utilization, Boost Battery Efficiency, and Reduce Expenses2026-26-0076To be published on 01/16/2026
The Effective battery thermal management is fundamental to ensuring both the performance and durability of small commercial electric vehicles. This study investigates advanced methods for maximizing energy efficiency, extending driving range, shortening charging durations, and lowering costs by employing insulation and thermoelectric cooling technologies. India's diverse and often extreme climatic conditions-ranging from intense summer heat to cold winters-significantly affect the thermal management of electric vehicle (EV) batteries. Also in small commercial vehicle segment uncontrolled operation condition (loading & off-road driving) of vehicle is common in India which leads to higher average C rate from battery implies need active battery cooling. Keeping batteries within their optimal temperature range is vital for maintaining their efficiency, safety, and service life. Advanced thermal insulating materials stabilize battery temperatures by minimizing heat gain and external
Chormule, Suhas Rangrao, Warule, Prasad, Nagpure, Rahul, Jadhav, Vaibhav
Integrated Quality Assurance Frameworks for Testing Advanced Automotive Systems in the Era of ADAS and E-Mobility2026-26-0568To be published on 01/16/2026
As the automotive industry rapidly transitions toward intelligent, electrified, and connected mobility, ensuring the safety and performance of advanced vehicle systems has become increasingly complex. Technologies such as Advanced Driver Assistance Systems (ADAS), electric powertrains, and software-defined architectures demand robust quality assurance (QA) frameworks capable of addressing the multi-domain nature of modern vehicle platforms. This paper presents an integrated QA methodology that combines traditional testing protocols with model-based validation, digital twin environments, and real-time system monitoring to comprehensively evaluate the reliability and functionality of next-generation automotive systems. The proposed framework focuses on end-to-end traceability from requirements to validation, encompassing hardware-in-the-loop (HIL), software-in-the-loop (SIL), and over-the-air (OTA) testing strategies. Emphasis is placed on simulating complex scenarios for ADAS, battery
KOMANDURI, ARUN SRINIVAS, Srivastava, Anuj
Thermal Management Control strategy for Primary & Secondary Drive Cooling Hybrid Electric Tractor2026-26-0069To be published on 01/16/2026
Global emission norms are getting very strict due to combat the harmful pollutants from internal combustion engine. Hence internal combustion engine (ICE)-based agricultural tractors need to introduce complex after-treatment systems and fuel optimization to provide same or higher value to farmers as cost of these systems drive the overall cost of the product. Engineers around the world are building Electric vehicles to combat the problem and has range issues due to design constraints & Hybrid tractors have emerged as a promising intermittent solution. It helps in combining the advantages of respective ICE and electrification solutions while reducing overall vehicle emissions and enhances operational flexibility. This paper presents a modular thermal modes system developed for a hybrid electric tractor platform where a downsized diesel engine operates at optimal efficiency DC generator used to charge the battery & DC converter is used to charge the auxiliary battery. Battery which is
K, Sunil, Makana, Mohan, Natarajan, Saravanan, K, MALA
The selection of a two-speed gearbox for small commercial electric vehicles aims to optimize powertrain efficiency2026-26-0417To be published on 01/16/2026
In response to the significant environmental challenges posed by climate change driven by global warming, the automotive industry is accelerating the transition toward electrification. While electric vehicles offer considerable potential for mitigating CO₂ emissions, their elevated upfront costs pose a notable challenge to large-scale market penetration. Energy efficiency improvement of electric vehicles is emerging field of research to reduce total cost of ownership. Electric vehicle powertrain component selection in small commercial vehicles including three and four wheelers is a complex process which has to fulfil multiple requirements Range, performance, drivability, packaging, total cost of ownership of vehicle and comfort. In addition, powertrain configuration including battery, motor and transmission ratio selection plays a fundamental role in cost of electric vehicle. Hence, The task of selecting the right powertrain configuration, encompassing architecture, motor selection
Wani, Kalpesh, Jadhav, Vaibhav, Shendge, Raman, Warule, Prasad
Design Optimization of Hydrogen Engine Vanity Cover for PSHA Compliance using CFD leakage analysis2026-26-0263To be published on 01/16/2026
Abstract: The integration of hydrogen (H2) as a fuel source in internal combustion engines (ICE) necessitates stringent design measures to mitigate leakage risks and ensure operational safety. This study focuses on the design optimization of vanity cover for hydrogen engines which only serves the purpose for hiding fuel system, wire harness & engine aesthetic else there is no engineering function like sealing, load factor associated with it. This paper addresses the challenges and risks of using Vanity cover on Internal combustion engines, if fuel joints inside the cover start leaking and forms hydrogen cloud which if not ventilated or diluted properly will have safety risk considering low ignition of hydrogen. Computational fluid dynamics (CFD) analysis is carried out to assess and control hydrogen leakage through fuel rail connections, injector interfaces and associated high pressure fuel system components. Detailed modelling of hydrogen flow behavior, diffusion characteristics of
Veerbhadra, Swati Ashvinkumar, Sahu, Abhay Kumar, Singh, Rahul
Next Gen Automotive EDS Architecture design verification using real-time function mode simulation & failure condition analysis2026-26-0454To be published on 01/16/2026
In current automotive electrical design practices, simulation and functional verification of the Electrical Distribution System (EDS) at the design stage are largely absent. Typically, the validation of controller behaviour and EDS wiring is performed only during HIL, SIL, MIL, prototype testing, or physical vehicle trials, often revealing issues late in the development cycle. This delay leads to costly redesigns, prolonged timelines, and increased chances of failure during vehicle integration. Therefore, there is a critical need for an early-stage simulation methodology that ensures robust EDS and controller design, enabling "first-time-right" readiness at the design stage itself. The proposed simulation framework introduces a function mode-based structural approach, where individual vehicle functions are mapped to their corresponding electrical circuits within the vehicle’s wiring system. Resistance values are allocated to specific paths depending on the active function or
Jaisankar, Gokulnath, Warke, Umakant
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, Murumkar, Aditya, Mulay, Abhijit B
Impact of Electric Exhaust Heater Power Electronics unit (EHPE) and Energy Storage Systems on Economy and Performance of Heavy-Duty Mild Hybrid Vehicles2026-26-0184To be published on 01/16/2026
With stringent emission norms enforced by governments and public authorities, advancements in internal combustion (IC) engine-based vehicles have become crucial. Cold starts and low-temperature combustion contribute significantly to vehicle emissions and need to be addressed to comply with upcoming stringent emission norms. An electric exhaust heater is known to reduce emissions by maintaining optimal exhaust temperature. For efficient energy management, exhaust heaters are typically powered by an onboard Energy Storage System (ESS), charged by electric machines. These electric machines in hybrid architecture provide efficient energy management by utilizing the recuperated braking energy of vehicles. However, the addition of a 48V hybrid system increases overall vehicle weight, and the vehicle effectiveness depends significantly on the vehicle application and ESS type used. The focus of this study is to investigate the impact of mild hybrids on fuel economy and performance for
Sadaraboina, Vidyasagar, Mehta, Kavish, Patil, Lalit Murlidhar, Busdiecker, Matthew, Karrer, Ben
Introducing a new catalyst family in gasoline aftertreatment2026-26-0231To be published on 01/16/2026
This paper is to introduce a new catalyst family in gasoline aftertreatment. Indeed, it has been shown that under certain driving conditions, three-way catalysts produce significant amounts of toxic NH3 and the strong greenhouse gas N2O, which are both very unwanted emissions. In a self-committed approach, OEMs could want to minimize these noxious pollutants, especially if this can be done with no architecture change, namely without additional underfloor catalyst. In this paper we will compare different approaches: regular underfloor TWC, SCR derived from diesel aftertreatment, gasoline dedicated Ammonia Slip Catalyst (ASC) and especially developed novel gasoline Secondary Emission Treatment (SET) catalyst, providing both ammonia abatement and underfloor three-way functionality. The data will show that SCR only reduces NH3 from a passive SCR reaction in a limited amount in the cold start including the need of oxygen presence, namely secondary air introduction. ASC is efficient in cold
Kuhn, Sebastian, Magar, Avinash, Kogel, Julius, Lahousse, Christophe
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
Optimizing Catalyst Substrate Technology for Gasoline vehicles in Indian Market2026-26-0212To be published on 01/16/2026
Emission norms are getting stringent day by day, posing new challenges such as stricter emission limits and compliance to Real Driving Emissions (RDE). Consequently, there is a pressing need to minimize emissions during cold starts, transient phases, and high exhaust flow regions. Achieving this objective requires enhancing the efficiency of after-treatment system and optimization of engine calibration. This paper discusses the approach to improve the efficiency of after-treatment system by enhancing the catalyst substrate design features such as cell density, wall thickness, and cell shape etc. The assessment was conducted to determine the emission performance advantages of substrates with higher cell densities of up to 900 cells per square inch (cpsi) and thinner web thicknesses down to 2.5 mil. This evaluation included both square and hexagonal cell shapes, comparing them to traditional substrates featuring 600 cpsi and 4.3 mil thickness. The evaluation has also included an
singh, Harmeet, kumar, Amit, mahra, Deepti, Khanna, Vikram
Development of a HIL Based Methodology for Over-The-Air Updates Validation2026-26-0480To be published on 01/16/2026
Over-the-Air (OTA) update technology has come forth as a transformative aider in the domain of automotive technology, allowing Original Equipment Manufacturers (OEMs) and Tier-1 suppliers of Electric vehicles (EVs) to frequently make software modifications, enhancements, and bug fixes that are essential to optimize the performance of powertrain components such as the motor controller unit (MCU), Battery Management System (BMS), and Vehicle Control Unit (VCU). This facilitates them to remotely supply updates to the vehicle firmware and software by giving inputs of calibration data without requiring physical access to the vehicle. However, as OTA updates have a direct impact on vehicle’s performance, safety and cybersecurity, a stringent e integration of Hardware-in-the-Loop (HIL) simulation into the OTA validation pipeline as a means to ensure reliability, safety, and functional correctness of updates before they are applied in the field. We present a structured approach of combining
Khare, Shivani, Karle, Ujjwala, Subramaniam, Anand
Methodology to Accelerate BEV Range Testing Using Shortened Cycle Maintaining High Testing Reliability and Accuracy.2026-26-0444To be published on 01/16/2026
In the era of Electric Vehicles (EVs), range is a critical factor for market success. To mitigate range anxiety, Original Equipment Manufacturers (OEMs) are equipping vehicles with larger battery packs. Unlike internal combustion engine (ICE) vehicles, where fuel economy can be determined with a single legislative cycle run, EVs require a full battery discharge to calculate their range. These tests typically take around 10 hours, and this time increases as battery pack sizes grow. A shortened testing cycle has been developed that reduces the testing time to approximately 4-5 hours, leading to significant savings in time, effort, and cost. The shortened cycle consists of three phases: Dynamic Segment1, Constant Speed, and Dynamic Segment2. Despite variations in battery size and powertrain configurations, the testing duration remains consistent. A key challenge in actual testing is accurately determining the start and end points of Dynamic Segment 2 (DS2), which is an iterative process
T, LAKSHMI PRASAD BEKAL, Krishnan, Karthikeyan N., S, VIVEK
A Comprehensive Comparative Study of Battery Swapping Technology vs. Traditional Charging Systems: Evaluating Efficiency, Scalability, and Future Implications for E-Mobility.2026-26-0194To be published on 01/16/2026
As the Electric Vehicle market accelerates at an unprecedented pace, the demand for efficient, scalable, and user-centric charging solutions has become critical. This paper delivers a comprehensive comparative analysis of the two transformative charging paradigms, conventional charging & the innovative Battery swapping technology. While traditional charging methods remains the industry backbone but they grapple with inherent challenges like prolonged charging durations, high infrastructure requirements and substantial energy consumptions. In contrast, the Battery swapping emerging as a disruptive solution which offering near-instantaneous battery replacement that drastically reduces the downtime and mitigates range anxiety, thereby redefining the parameters of EV usability. The paper embarks on a structured exploration of electric vehicle recharging systems, & beginning with a historical review & Evolution of both types technologies to better understanding of their foundational
Jain, Gaurav, PREMLAL, P, Pathak, Rahul, Gore, Pandurang
System Level Temperature Distribution and Balancing in battery swapping stations2026-26-0361To be published on 01/16/2026
Battery charging systems generate heat during operation, which affects battery efficiency, discharge time, and overall lifespan. Effective thermal management is essential to prevent overheating, optimize heat dissipation, and ensure consistent performance. This study investigates testing methodologies to analyse thermal temperature distribution, detect imbalances, and implement effective balancings techniques. Testing was conducted in a controlled environmental chamber to evaluate heat dissipation behavior under varying conditions. Different dock-level temperatures were measured and optimized using multiple design configurations to assess their impact on thermal performance. The analysis identified thermal imbalances that contribute to uneven heat distribution and increased thermal stress, which can degrade battery performance over time. By refining system designs and incorporating optimized balancing strategies, the research demonstrated significant improvements in heat management
Kulkarni, Mukund, P, Hari Prasad Reddy, H, Manjunatha, Dash, Soumya
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
Predictive SoC Management for Enhanced Recuperation Efficiency in Electric Vehicles2026-26-0154To be published on 01/16/2026
In recent years, the automotive industry has been looking into alternatives for conventional vehicles to promote a sustainable transportation future having a lesser carbon footprint. Electric Vehicles (EV) are a promising choice as they produce zero tail pipe emissions. However, even with the demand for EVs increasing, the charging infrastructure is still a concern, which leads to range anxiety. This necessitates the judicious use of battery charge and reduce the energy wastage occurring at any point. In EVs, regenerative braking is an additional option which helps in recuperating the battery energy during vehicle deceleration. The amount of energy recuperated mainly depends on the current State of Charge (SoC) of the battery and the battery temperature. Typically, the amount of recuperable energy reduces as the current SoC moves closer to 100%. Once this limit is reached, the excess energy available for recuperation is discharged through the brake resistor/pads. This paper proposes a
Barik, Madhusmita, S, Sethuraman, Aruljothi, Sathishkumar
State of Health correction based on dynamic cell behaviour in EVs.2026-26-0183To be published on 01/16/2026
In electric vehicle (EV) applications, accurate estimation of State of Health (SOH) of lithium-ion battery packs is critical for ensuring performance reliability, operational safety and user confidence. SOH is a key parameter monitored by Battery Management System (BMS) to assess the remaining usable life of the battery and to make informed decisions regarding charging, discharging, power delivery, and maintenance scheduling. In traditional SOH estimation techniques often rely on simplistic full-cycle charge-discharge data or single-parameter tracking (such as voltage or internal resistance and other method like coulomb counting and kalman filter ), which do not account for variable field conditions such as partial and full state-of-charge usage condition, dynamic load profiles, and non-uniform aging. As a result, these methods can produce significant deviations in SOH prediction, potentially causing premature system-level shutdowns, inaccurate range estimation, and delayed detection
Nikam, Ashish, Tiwari, Awanish Shankar, Sodha, Nirav, Hariyani, Ganesh, Ambhore, Yogesh Gajanan
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
Simulation-Based Thermal Performance Study of a DC-DC Converter for EVs.2026-26-0481To be published on 01/16/2026
The low voltage systems are used for lighting applications, horns, infotainment system, sensors and control units as per lower operating rated voltage. Operating temperature is the main factor causing more than 50% of all power electronics failures. The DC-DC converter convert one level of DC voltage to another required level as per applications in the vehicle. To reduce weight, cost and having better vehicle packaging, manufacturers use DC-DC converter to meet the low voltage operating range usually 12V to 24V. In order to maintain the regulated output voltage above or below the range, step-up or step-down DC-DC converter are useful. Thermal design of a DC-DC Converter through thermal modelling and simulation approach is becoming more popular as it is less expensive compared to experimental approach. This study is performed to develop a thermally optimized DC-DC converter against higher power losses and to maintain the operating temperature of power generating components below its
Chaudhari, Prashant H., Patil, Nishikant, Nayak, Shibabrata
Validation of 0D-1D Co-Simulation Strategies in Cold Climate for ‘Full EV Digital Vehicle’2026-26-0448To be published on 01/16/2026
Electric Vehicles is 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 several components and control design, analysis, and optimization. Systems pertaining to each functionality such as, AC loop, E-Powertrain, HEVC, Cooling system, Battery Management System, Vehicle control system etc. together make an 'Integrated Digital Vehicle'. Fidelity of Intersystem co-simulation [AMESIM + SIMULINK] is key to validate the thermal and energy management 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 usage and WLTP for Cold condition of -7degC). Also, to evaluate range
Sarapalli Ramachandran, Raghuveeran, Srinivasan, Rangarajan, Saravanan, Vivek, Dutta, Souham, Pichon, Martin, Leclerc, Cedric, Guemene, Alexis-Scott
CAE driven seam weld optimization for stiffness and fatigue calculations2026-26-0478To be published on 01/16/2026
Structural parts are joined using seam welds, spot welds and bolted connections. The strength and stiffness of any structural part are strongly influenced by the properties of their joints. Seam welds are used extensively in the automotive industry to join panels. The design and the positioning of the seam welds have a significant impact on the technical cost of the project. In the automotive industry, structural optimization and fatigue simulation have become standard applications during any development process. The conventional approach in identifying the position and number of seam welds and its length is time consuming and leads to over design. Current paper highlights developing a simulation process for seam weld optimization in identifying the optimal position and length of seam welds. The optimization workflow is set up in CAE with design objective of minimizing the number of seam welds and finding the optimal length by meeting stiffness targets and fatigue life of seam welds
Gudipati, Raja Shekar Reddy
Optimization and Evaluation of Thermal Interface Material Thickness and Distribution Patterns for Improved Heat Transfer in Liquid-Cooled Battery Pack2026-26-0432To be published on 01/16/2026
Battery Thermal Management Systems (BTMS) play a critical role in ensuring the longevity, safety, and efficient operation of lithium-ion battery packs. These systems are designed to effectively dissipate the heat generated by the cells during vehicle operation, thereby maintaining a uniform temperature distribution across the battery modules, preventing overheating and mitigating the risk of thermal runaway. However, one of the primary challenges in BTMS design lies in achieving effective thermal contact between the battery cells and the cooling plate. Non-uniform or excessive application of Thermal Interface Materials (TIMs) without ensuring robustness and uniformity can increase interfacial thermal resistance, leading to significant temperature variations across the battery modules, which may trigger power limitations via the Battery Management System (BMS) and these thermal gradients can cause inefficient cooling, ultimately affecting battery performance and lifespan. In this study
K, Mathankumar, Jahagirdar, Manasi, Kumbhar, Makarand Shivaji
Thermal System design of Inter-City Fuel Cell Electric Bus2026-26-0427To be published on 01/16/2026
In the current scenario, demand for alternate energy is increasing due to depletion of fossil fuels and countries commitment towards carbon neutrality by 2050. Hydrogen is considered as one of the cleaner fuels and many OEMs across the world started to work on various strategies like hydrogen combustion engine and fuel cell. Passenger vehicles like Buses are at the lookout for fuel cell technology at faster rate than other commercial vehicles. In fuel cell vehicles, cooling system design is critical & complex since it includes fuel cell cooling, Power electronics cooling & battery cooling. In this paper cooling system design of a Fuel cell electric bus for inter-city application is demonstrated. Radiators and Fans are selected based on the overall heat rejection and Coolant inlet temperature requirements of components. Cooling system circuit and pump is decided to meet the coolant flow rate targets. Flow simulation and thermal simulation done using simulation models using software KULI
M S, Vignesh, KIRAN, NALAVADATH
Analysis of Energy Consumption for Heating City Electric Buses and Ways to Reduce It2026-26-0156To be published on 01/16/2026
For regions with cold climates, the driving range of electric buses becomes a significant obstacle to the broader adoption of this type of transport. The increased energy consumption affects not only the range of autonomous operation but also the lifespan of battery packs, the scheduling of bus departures, and the load on the charging infrastructure. In this context, finding ways to reduce the energy consumption of the climate control system is an actual issue. The aim of the presented research is to experimentally and computationally determine the energy consumption for heating the driver's cabin and passenger compartment of an electric bus during the autumn-winter operation period, as well as to identify and analyze ways to reduce this energy consumption. To determine the air temperature in the passenger compartment, a mathematical model based on heat balance equations was used. This model was validated using data from real-world tests. The research was conducted at a proving ground
Kozlov, Andrey, Terenchenko, Alexey, Stryapunin, Alexander
Accelerating EV Thermal Controls Development: A Rapid controls prototyping framework using Speedgoat2026-26-0685To be published on 01/16/2026
In the era of software-defined vehicles, the complexity and requirements of automotive systems have increased significantly. Thermal management systems have become more complicated, incorporating multiple functions and strategies within software frameworks. This shift poses substantial challenges, increased development efforts and extending timelines in creating an efficient thermal management system for EVs. Fulfilling them in the early stages of design makes it more challenging due to the unavailability of key components such as fully developed ECU hardware, the battery pack, and the motor. To address this, a novel framework has been designed that combines virtual simulation with physical emulation, enabling the testing and validation of thermal control strategies without fully matured system and ECU hardware. The framework uses the Speedgoat platform as the central controller which hosts the control and thermal models developed in Simulink and Simscape. Speedgoat is physically
Chothave, Abhijeet, S, Bharathan, S, Ananth, Gangwar, Adarsh, Khan, Parvej, Gummadi, Gopakishore, Kumar, Dipesh
A Method to Improve the System Efficiency of an Electronic Drive Unit: Variable Switching Frequency-Loss Optimization2026-26-0062To be published on 01/16/2026
In electrical engineering, designing and improving inverter and induction motor systems is very important for many industrial uses. Even though these systems are flexible and widely used, one of the main challenges is accurately measuring how much power is lost when they run. Usually, people check the system’s efficiency, but that doesn’t fully explain how or why the power loss happens inside these systems. This paper presents a new way to study power losses without focusing on efficiency. Instead, it uses analytical methods supported by MATLAB programming. The goal is to explore the complex reasons behind power losses in both inverters and induction motors. To do this, the study develops mathematical formulas that describe the different types of losses, such as those from conduction, switching, and magnetic effects. These formulas are based on basic physics and are turned into MATLAB code, which helps connect theory with real-world application. In the end, the project creates a
BANDA, Gururaj, Sengar, Bhan
Optimal test strategy for Clusters & CDCs in ever evolving multi power train vehicle ecosystem2026-26-0569To be published on 01/16/2026
Innovation in energy storage and generation system will lead to multiple power train solutions across the vehicle categories in the Automotive segment. With various options to the end consumer across different vehicle segments, the complexity associated with E/E Architecture and software engineering will be multi-fold both for the OEMs and Suppliers. Over the air updates shall become mandatory features to manage this complexity and to calibrate the vehicle features inline with changing trends and efficiency plus feature enhancements in post-market release scenarios. These upgrades are more common in digital clusters, in-vehicle entrainment and central digital cockpits. OEMs are introducing the vehicle platforms in multiple power train variants keeping comfort, instrument clusters and in-vehicle entertainment as core features across different power trains. A well-defined and managed comprehensive optimal test strategy and infrastructure will be critical to ensure seamless release of the
RAJARAM, Saravanan, Venkata, Parameswaran, Naik, Venkatesh
HIL Simulation of Power Electronics Switching Circuit for Automotive Software Application2026-26-0516To be published on 01/16/2026
Power electronics switching applications are essential for energy management and conversion in automotive electric vehicles (EVs). This paper focuses on DC-DC converters, particularly the integration of 48V DC-DC converters in modern automotive systems. These converters are crucial for efficient power delivery to auxiliary systems such as infotainment, lighting, safety electronics, and thermal management units. In mild hybrid electric vehicles (MHEVs), 48V systems support advanced features like regenerative braking, electric turbocharging, and start-stop functionality. To ensure the reliability, safety, and performance of these converters, Hardware-in-the-Loop (HIL) testing has emerged as a powerful validation technique. HIL enables real-time simulation of the converter’s electrical environment and load conditions, allowing comprehensive testing of the control system without high-level voltage, significantly reducing development time, cost, and risk. The methodology involves utilizing
Yadav, Vikaskumar, Wakure, Vinod
Optimization of Inverter Control Strategies for Improved Powertrain Efficiency Using E-Motor Emulation Platforms2026-26-0509To be published on 01/16/2026
The traction inverter is a critical component in electric vehicles (EVs), functioning as the heart and brain of the electric powertrain. It controls the power conversion between the high-voltage battery and the electric motor, enabling efficient propulsion and regenerative braking. As EV adoption grows, especially in emerging markets like India, the need for robust and scalable inverter testing solutions becomes paramount. Traditional testing methods involving real batteries and e-motors pose several challenges in the Indian context, including high safety risks, infrastructure limitations, high battery costs, and limited availability of prototype-grade components. This paper presents a comprehensive approach to inverter validation using the AVL Inverter TS™ system— an advanced Power Hardware-in-the-Loop (PHiL) test system based on e-motor emulation technology.. It enables safe, efficient, and reliable testing without the need for actual batteries or mechanical loads. The system
Mehrotra, Soumya, Chhabra, Rishabh
Improving Cold Start and Transient Performance of Medium BMEP CEV Stage V Engines at Low Ambient Temperature and Pressure2026-26-0142To be published on 01/16/2026
Meeting the stringent emissions norms of CEV stage V for medium BMEP engines, CI engines present significant challenges, particularly concerning cold startability. Low ambient temperatures and pressures intensify the cold start difficulties which are characterized by prolonged cranking, incidences of misfiring, compromised transient response and overall engine performance. This paper highlights the strategies and technologies employed to enhance cold start and transient performance of medium BMEP engines under such demanding environmental conditions. Investigations were conducted up to an altitude of 4500m and ambient temperatures as low as-20°C, utilizing only air heater at intake manifold as the sole cold start aid. This cost effective approach is integrated with an optimized combustion chamber design, along with minimal pilot injection timing and quantity to facilitate smooth ignition and stable combustion during cold start. The paper also explore the techniques to improve the
Saxena, Harshit, Lokare, Prasad, Santhosh, Ajith, Gandhi, Naresh, Shinde, Prashant
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
Unique methodology to cluster and reuse the “Hazard Analysis and Risk Assessment” across different E/E systems and features2026-26-0004To be published on 01/16/2026
As software-defined vehicles advance in complexity, achieving robust functional safety in line with ISO 26262 becomes increasingly vital. This growing need has led to a significant increase in Hazard Analysis and Risk Assessment (HARA) activities across numerous electrical and electronic (E/E) systems and features. Traditionally, HARA is performed separately for each E/E system, feature, or component. This approach often results in redundant analyses of the same function in multiple places, which leads to inconsistent risk categorizations and even conflicting safety goals, such as assigning different Automotive Safety Integrity Levels (ASIL) to similar features. As a result, the overall engineering effort and risk of inconsistency increase. To address these challenges, this paper proposes a unique approach: performing consolidated HARA for a group of vehicle-level functions (termed “platform HARA”). Rather than deriving safety goals for each E/E system or feature individually, this
Somasundaram, Manickam, Vijayakumar, Melvin
Integrated Powertrain Domain Controller Using Wide Band Gap Devices For EV Applications2026-26-0055To be published on 01/16/2026
The rapid evolution of electric vehicles (EVs) has amplified the demand for highly integrated, efficient, and intelligent powertrain architectures. In the current automotive landscape, EV powertrain systems are often composed of discrete ECUs such as the OBC, MCU, DC-DC Converter, PDU, and VCU, each operating in isolation. This fragmented approach adds wiring harness complexity, control latency, system inefficiency, and inflates costs making it harder for OEMs to scale operations, lower expenses, and accelerate time-to-market. This paper addresses the core issue of fragmented control architectures in EV powertrains by proposing an integrated domain controller-based solution for EV powertrain. The technical gap lies in the absence of a centralized intelligence capable of seamlessly managing and synchronizing the five key powertrain aggregates: OBC, MCU, DC-DC, PDU, and VCU under a unified software and hardware platform. This fragmentation leads to redundancy in computation, increased
Kumar, Mayank, Deosarkar, Pankaj, Inamdar, Sumer, Tayade, Nikhil
FATIGUE FAILURE ANALYSIS FOR AUTOMOTIVE TRASNMISSION2026-26-0577To be published on 01/16/2026
A fatigue failure in the transmission input shaft was identified during a bench-level endurance test under 2nd gear loading conditions. The test transmission’s input shaft comprises fixed 1st, reverse, and 2nd gears, with the remaining gears mounted as floating. The shaft was subjected to cyclic torsional loads, and failure occurred after a defined number of cycles. Metallurgical analysis revealed a brittle fracture surface with crack initiation at the outer surface, propagating to core in a helical pattern, ultimately resulting in complete shaft fracture. To monitor and replicate the failure, the test setup was instrumented with a Reilhofer Delta Analyzer for early fault detection. TTL signals from accelerometers mounted on the transmission and a bench speed sensor were fed into the system, which generated FFT spectra and trend indices. A warning alarm triggered upon deviation in the trend index, indicating premature damage initiation. The test was subsequently halted for component
Navale, Pradeep, Kushwaha, Rakesh, Patel, Hiral
Innovative Inverted Cross Car Beam Design for Optimized Packaging of Advanced Driver Assistance Technologies in Global Vehicles.2026-26-0051To be published on 01/16/2026
• Objective This paper proposes an innovative inverted cross car beam design optimized for packaging advanced driver assistance system (ADAS) technologies, including Augmented Reality Head-Up Display (AR-HUD) systems, within premium vehicle instrument panels. The study emphasizes the use of lightweight steel structures bracketry's and advanced joinery techniques to address challenges such as NVH (Noise, Vibration, and Harshness), durability, and BSR (Buzz, Squeak, and Rattle) while maintaining structural integrity and luxury aesthetics. By focusing on alignment precision, vibration damping, and efficient space utilization, the design supports the seamless integration of ADAS components, enabling the development of future-ready global EV vehicles with high-performance premium interiors. • Novelty This paper introduces a groundbreaking U-shaped steel tube cross car beam design that addresses the growing demands of ADAS integration, such as AR-HUD, steering column, HVAC systems, and ECUs
MAHAJAN, AJAY SENU, Regatte, Ganesh, Nagarjuna, Kamisetti, SAHOO, SANDEEP, Udugu, Kumaraswamy, JC, sudheera
Enhancing Range Prediction Accuracy for the BEV: Bridging the Gap Between Simulation and Real-World Testing2026-26-0521To be published on 01/16/2026
Accurate range estimation in battery electric vehicles (BEVs) is essential for optimizing performance, energy efficiency, and customer expectations. This study investigates the discrepancies between physical test data and simulation predictions for the Jeep Wagoneer model. A detailed range delta analysis identifies key contributors to the observed deviations, including regenerative braking inefficiencies, increased propulsion demand, auxiliary loads, and estimated drivetrain losses within the Electric Drive Module (EDM) during traction and regen. Results indicate that the test vehicle exhibits lower regenerative braking efficiency and higher traction and lower regen consumption than predicted by simulations, primarily due to EDM inefficiencies and friction brake usage during regeneration. The study underscores the importance of refining simulation methodologies by integrating real-world, test based EDM loss maps to improve accuracy and better align predictive models with actual vehicle
ali, Shoaib, Mahajan, Prasad
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 Method of Precooling of EV Vehicle from Grid connected aux supply/Charger to reduce peak power demand of HVAC system when vehicle is allotted for passenger operation using cloud based infrastructure2026-26-0056To be published on 01/16/2026
This paper explains the method of precooling of electric vehicle from grid connected charger reduce load on HVAC and improve the range. HVAC systems are integral part of a commercial EV bus. With the rise of ambient temperatures during various seasons, the load on HVAC System is increasing. Once an Electric vehicle is released from a depot for service, with an initial soaked up ambient vehicle, the HVAC system demands peak power for cooling the interiors which consumes a lot of battery power thus affecting the range. That cause the additional energy consumption required for precooling, which cannot be estimated as it is highly dependent on ambient temperature and range of the vehicle is also dependent on HVAC consumption during summer and peak loads. This paper is proposing a method that uses a special precooling mode which is activated depending on the selection of the vehicle route based on backend application running on cloud. The Application in the cloud checks if the vehicle is
Ganguly, Sutanu, Shukla, Amisha, Jain, Sarika, Patil, Rohan, Sahu, Pritish, Yadav, Ankit, Marskole, Deepa, Amancharla, Naga Chaithanya
Performance optimization of 2 Cylinder Flex Fuel Engine for Small Commercial vehicle – A STEP TOWARDS SUSTAINABILITY2026-26-0119To be published on 01/16/2026
Increasing ethanol blending in gasoline is significant from sustainability point of view. Flex Fuel is an ethanol-gasoline blend containing ethanol ranging from 20% to 85%. Flex Fuel emerges as an exceptionally advantageous solution, adeptly addressing the shortcomings associated with both gasoline and ethanol. Performance optimization of flex fuel is major challenge as fuel properties varies with ethanol %, like knocking tendency, calorific value, vapour pressure, latent heat and stoichiometric Air Fuel Ratio etc. This paper elaborates the experimental results of trials conducted for optimization of engine performance with Flex Fuel for 2 cylinder engine used for Small Commercial Vehicle. In order to derive maximum benefit from the higher octane rating of ethanol fuel, compression ratio is increased. EMS calibration activities were conducted with E20 and E85 fuel and intermediate fuel performance was optimized using interpolation method. Fuel injection pressure is increased to address
Kulkarni, Deepak, Malekar, Hemant A, Kulkarni, Chaitanya, Katkar, Santosh, Undre, Shrikant, Upadhyay, Rajdip
Complex Pulse Width Modulation Generation for Motor Controls Application Using Multichannel Sequencer (MCS) of Generic Timer Module (GTM)2026-26-0153To be published on 01/16/2026
The inverter in electric vehicles (EVs) transforms the battery's DC power into a regulated, variable-frequency AC signal, allowing for exact control over the three phase AC motor's speed and torque. The PWM allows for synchronized regulation of pulse widths of all the three phases, resulting in balanced and controlled power output to the motor windings and improves overall performance. The Advance Routing Unit (ARU)Connected Timer Output modules (ATOM) of Generic Timer Module (GTM) incorporate motor control-specific capabilities including fast triggering mechanisms, synchronization, high-resolution (24-bit resolution) and dead-time generation. Whereas other timer modules may be more generic and not optimized for advanced motor control applications. The objective of this paper is to present the strategy to reduce the CPU load in software by utilizing the submodules of GTM called Multi channel sequencer (MCS). It has a minimal amount of software operating on the chip core, resulting in
Reddy, Kurlapalle Sainath
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
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
Infotainment-Free Sunroof Control Testing Using National Instruments Framework2026-26-0519To be published on 01/16/2026
Verification of sunroof operation via voice commands conventionally necessitates a fully assembled vehicle platform integrated with an updated Body Control Module (BCM) and infotainment software. This hardware-software dependency presents significant limitations, particularly during the early stages of development, where rapid validation and iteration are critical. Additionally, vehicle availability and software readiness often act as bottlenecks in the validation process. To address this, a novel approach has been developed to simulate sunroof operations—including both physical switch and voice command inputs—using a National Instruments (NI) system. This setup eliminates the reliance on the vehicle’s BCM and infotainment system by simulating LIN commands directly through the NI interface. The integration of the sunroof module with the NI system facilitates comprehensive bench-level testing, including functional validation, endurance evaluation, and abuse case simulation. This
GHANWAT, HEMANT, Lad, Aniket Suryakant, Joshi, Vivek, More, Shweta
Eliminating High-Voltage Pre-Charge Circuits in Electric Vehicles Using Bidirectional DC-DC Converters2026-26-0075To be published on 01/16/2026
Pre-charge circuit ensure the safety of the electric vehicle. During start up, the pre-charge circuits are critical for managing the initial connection between the high voltage battery and the power electronic system in all electric vehicles. Pre-charge circuits typically consist of resistors and contactors that gradually charge the input capacitors of inverters and DC-link systems to prevent sudden inrush currents that could damage components or trigger faults. However, traditional pre-charge solutions present several limitations like increased component count and system complexity, thermal losses due to resistor dissipation, mechanical wear of contactors over time, Slower start-up response, added cost and potential failure points. This paper introduces a novel method to eliminate conventional pre-charge circuits by utilizing bidirectional DC-DC converters to manage the pre-charge function. Through controlled ramp-up of voltage from the low-voltage system to the high-voltage bus, the
S, Aswathy, R O, Raghi
Early prediction of relaxation voltage & detection of state of battery for functional safety2026-26-0166To be published on 01/16/2026
During parking condition of vehicle, state of the battery is uncertain as it goes through the relaxation process. In such scenarios the battery voltage may exceed the functional safety limits. If we cross the functional safety limits it is hazardous to the driver as well as the occupant. In this case relaxed voltage plays a crucial role in identifying the safe state of the battery. To estimate the relaxed cell voltage there are methods such as RC filter time constat modeling and relaxation voltage error method. The problem with these solutions is the waiting time and accuracy to determine the relaxation voltage. In this manuscript a solution is proposed which ensures the above problem gets reduced. To achieve the reduction of relaxation voltage estimation time, a python sparse identification of nonlinear dynamics (PySindy) is used which identifies and fits an equation model based on observing the battery characteristics at different SOC and temperatures. The implementation is done and
Pandey, Priyanshu, Nilajkar, Ankur, Panda, Abinash
Lithium-ion Battery’s State of Health Prediction: A Deep Learning Framework2026-26-0162To be published on 01/16/2026
The growing adoption of electric vehicles (EVs) has increased the need for reliable and efficient battery health monitoring systems. Lithium-ion batteries, widely used in EVs, undergo performance degradation over time, making the prediction of their health status a crucial task for ensuring safety, longevity, and operational efficiency. Traditional model-based approaches often face challenges due to their reliance on complex physical models and sensitivity to varying operational conditions. To overcome these limitations, data-driven methods are increasingly preferred for predictive maintenance. In this study, a data-driven framework is proposed for estimating the State of Health (SoH) of lithium-ion batteries. The framework is developed using data collected from multiple battery cells under diverse operating scenarios. Key steps such as data preprocessing, feature engineering, and model development are carried out to build robust machine learning and deep learning models. A focus is
Suryawanshi, Chaitanya Balasaheb, Nangare, Kapilraj, Gaikwad, Pooja
Driving performance impact analysis on EV components for efficient, safe, and intelligent mobility2026-26-0655To be published on 01/16/2026
Electric vehicles (EVs) are the cornerstone of sustainable transportation, but their performance and component longevity are heavily influenced by driving behaviors. This study proposes a comprehensive analytical framework to assess how different driving styles affect the operational health of key EV components such as the battery pack, motor, and DC-DC converter. Various driving styles such as aggressive, moderate, and economical are discriminated against using dynamic vehicle operation signatures including acceleration and braking intensity, turning profiles, and load variations. These behavioral patterns are reflected in the electrical responses, namely current and voltage waveforms across power electronic systems. By analyzing these electrical signatures, a range of KPIs can be estimated for each component, offering insights into their operational stress and degradation trends. Experimental analysis using real-time EV datasets validates the framework’s ability to predict and
Deole, Kaushik, Kumar, Pankaj, Hivarkar, Umesh
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