Browse Topic: Electronic control systems

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Virtual ECU: Development & Validation Platform2026-26-0683To be published on 01/16/2026
Vehicle software is moving towards software-centric architectures and hence software-defined vehicles. With this transition, there is a need to handle various challenges posed during development and validation. Some of the challenges include unavailability of hardware limiting the evaluation of various hardware options, board bring-up and hence leading to delays in software development targeted for the hardware, eventually leading to delayed validation cycles. To overcome the above challenges, we present in this whitepaper a virtual ECU (vECU) framework integrated with a CI/CD pipeline. A Virtual ECU (Electronic Control Unit) is a software-based emulation of a physical ECU. The adoption of virtual ECUs empowers development teams to commence software development prior to the availability of physical hardware. Multiple tools are available to demonstrate virtual ECUs, for example, QEMU, Synopsys, QNX Cabin, etc. vECU setup, when paired with a CI/CD pipeline, allows continuous integration
Singh, Jyotsana, Shaikh, Arshiya, Mane, Rahul, Burangi, Piyush
Correlation of Power Rating for Battery Electric Vehicles Simulation vs. Test Validation in Accordance with regulatory compliance2026-26-0575To be published on 01/16/2026
Accurate power and energy assessment in Battery Electric Vehicles (BEVs) requires high-fidelity simulation models that reflect real-world performance. This study presents a power rating correlation of the Stellantis Dodge model in compliance with the GTR 21 standard, validating the simulation’s accuracy against physical test data. Simulations conducted using STLAsim, Stellantis’ proprietary tool, estimate EDM power at the inverter input and axle output under standardized conditions. The operating parameters were shared with the testing team to ensure consistency; however, the initial test results deviated by approximately 18 kW from the simulation target. To address this delta, EDM speed and vehicle speed were optimized, achieving a close alignment with the simulation and meeting the GTR 21 power rating criteria. The results demonstrate a strong correlation between the simulation and test data, confirming the model’s accuracy and reliability. This study underscores the effectiveness of
Mahajan, Prasad, ali, Shoaib
Electro Magnetic Radiation Analysis for the Vehicle Cable and Shielding Techniques and Performance Assessment2026-26-0563To be published on 01/16/2026
This paper addresses the challenges and methodologies for evaluating radiated emissions from automotive electronic systems, which is critical for achieving electromagnetic interference and compatibility (EMI/EMC) standards. The rapid integration of advanced electronic components in modern vehicles has transformed automotive systems, their potential to generate electromagnetic interference (EMI) becomes a significant concern, particularly due to its impact on vital communication and safety systems. The study mainly investigates radiated EMI, which is the unintentional emission of electromagnetic energy emitted by HV cables in the wiring harness layout, potentially disrupting the operation of nearby systems. This study utilized CST Studio Suite to analyse the electromagnetic behaviour of vertically and horizontally polarized antenna configuration in electric vehicles. The simulated results are benchmarked against international EMI/EMC standards such as CISPR-12 and CISPR-25, which
MANUELRAJ, MASILAMANI, Narayanan, Siva Suriya, prasad PhD, Suryanarayana
Adaptive Control Algorithms for Active Mounts on Diesel Powertrains in Passenger Cars2026-26-0324To be published on 01/16/2026
Diesel powertrains are inherently characterized by high vibration levels and low-frequency excitations, which are extremely demanding for passenger comfort and vehicle refinement. Conventional passive engine mounts often fall short in mitigating such vibrations effectively across a wide range of operating conditions. Passive mounts are inadequate for effectively isolating vibrations in powerful, lightweight vehicles or those without a balancer shaft 3-cylinder engine ordiesel engines. Consequently, this has prompted the consideration of active engine mounts as an alternative solution for solving NVH (Noise, Vibration, Harshness)-related issues. This paper explores the application of adaptive control algorithms in active engine mount systems for diesel powertrains in passenger vehicles. Through the integration of real-time feedback loops with smart control strategies the system adaptively controls mount stiffness and damping to minimize engine-induced vibrations. The study presents
Hazra, Sandip, Khan, Arkadip Amitava, more, Vishwas
Totem-Pole PFC and LLC resonant converter based 6.6kW On-Board Charger for LEV Applications2026-26-0160To be published on 01/16/2026
As light electric vehicles (LEVs) gain popularity, the development of efficient and compact on-board chargers (OBCs) has become a critical area of focus in power electronics. Conventional AC-DC topologies often face challenges, including high inrush currents during startup, which can stress components and affect system reliability. Furthermore, DC-DC converters often have a limited soft-switching range under light load conditions, leading to increased switching losses and reduced efficiency. This paper proposes a novel 6.6 kW on-board charger architecture comprising a bridgeless totem-pole power factor correction (PFC) stage and an isolated LLC resonant DC-DC converter. The main contribution lies in the specific focus on enhancing startup behavior and switching performance. In PFC converters, limiting inrush current during startup is crucial, especially with fast-switching wide-bandgap devices like SiC or GaN. Conventional soft-start techniques fall short in of ensuring smooth voltage
Patil, Amruta, Bagade, Aniket
MOSAIC-TARA: A Comprehensive TARA Methodology for Automotive Cybersecurity2026-26-0609To be published on 01/16/2026
Threat Analysis and Risk Assessment (TARA) is a continuous activity, acting as a foundation of cybersecurity analysis for electrical and electronics automotive products. Existing TARA methodologies in the automotive domain exhibits challenges due to redundant and manual processes, particularly in handling recurring common assets across Electronic Control Units (ECUs) and functional domains. Two primary approaches observed for performing TARA are Manual-Asset-Centric TARA and Catalogue-Driven TARA. Manual-Asset Centric TARA is constructed from scratch by manually identifying the assets, calculating risks by likelihood, and impact determination. Catalogue-Driven TARA utilizes the precompiled likelihood and impact against identified assets. Both approaches lack standardized and modular mechanisms for abstraction and reuse. This results in poor scalability, increased efforts, and difficulty in maintaining consistency across vehicle platforms. The proposed method in this research overcomes
Goyal, Yogendra, Sinha, Swati, Sutar, Swapnil, Jaisingh, Sanjay
Securing the Future of Electric Vehicle Charging: Identifying and Mitigating Cybersecurity Vulnerabilities2026-26-0614To be published on 01/16/2026
This paper examines the key security vulnerabilities present in modern EV charging infrastructure, with a focus on the potential threats to payment systems, communication protocols, physical security, and data privacy. In particular, it looks at the vulnerabilities associated with unencrypted communication, the risks of unauthorized access to charging stations, and the potential for denial-of-service (DoS) attacks. As the global adoption of electric vehicles (EVs) accelerates, the importance of a secure and reliable EV charging infrastructure becomes paramount. However, the expansion of charging stations and the growing integration of smart technologies introduce significant cybersecurity risks that must be addressed to ensure the safety, privacy, and reliability of the network. In addition to discussing emerging risks in relation to new technologies, such as Vehicle-to-Grid (V2G) systems, and outlining the necessity of industry-wide collaboration and the development of standardized
Aggarwal, Akshit, Gupta, Saurabh, Sirohi, Kapil, Arisetty, Venkatesh, Chatterjee lng, Avik
Impact of Virtual ECUs on Software Development and Validation Using the Shift Left Strategy2026-26-0681To be published on 01/16/2026
The automotive industry is undergoing a transformative shift with the integration of Virtual Electronic Control Units (vECUs) in software development and validation processes. Physical ECUs require actual hardware setups, which can be expensive, time-consuming to configure, and may not be readily available during early development stages. This abstract presents the application of a Level 3 vECU to enable early-stage testing in alignment with the Shift Left Strategy, thereby reducing development time and cost. The developed vECU includes production-intent code for the Application Software (ASW), Runtime Environment (RTE), Basic Software (BSW), and Operating System (OS), while adapting the Microcontroller Abstraction Layer (MCAL) and Complex Device Drivers (CDD) for the virtual environment. The vECU replicates the functional behavior of a physical ECU and supports standard automotive communication protocols such as CAN, LIN, Ethernet and FlexRay, allowing system-level validation in a
Bhopi, Amey, Sengar, Bhan
Lightweight AI Deployment for Legacy Automotive ECUs: A Practical Optimization Approach2026-26-0663To be published on 01/16/2026
Automotive systems are increasing adopting data-driven and intelligent functionality in the areas of predictive maintenance, virtual sensors and diagnostics. This has led to a need for the AI models to be directly run on vehicle ECUs. However, most of these ECUs – especially those in cost-sensitive or legacy platforms lack the computational capacity and parallel processing support required for standard AI implementations. Given the stringent real-time and reliability requirements in automotive environments, deploying such models presents a unique challenge. This paper proposes a practical methodology to optimize both the training and deployment phases of AI models for low-computation ECUs that operate without parallelism. Designing lightweight model architectures, using pruning and quantization techniques to minimize resource utilization, and putting in place a strategy appropriate for single-threaded execution are the three main objectives of the developed approach. The goal is to
Sharma, Sahil, Mathew, Melvin
Dynamic Integration of Bilateral and Adaptive Cruise Control for Intuitive Vehicle Behavior and Congestion Mitigation2026-26-0037To be published on 01/16/2026
Bilateral Cruise Control (BCC) is a new concept that has been shown to reduce traffic congestion and enhance fuel/energy efficiency compared to Adaptive Cruise Control (ACC). BCC considers both lead and trailing vehicles to determine the ego vehicle’s acceleration, effectively dampening any disturbance down the vehicle string and reducing possibilities for congestion. Despite the advantages demonstrated with BCC, one major limitation is its non-intuitive behavior, which stems from the fact that the BCC reacts not just to the lead vehicle but also to the trailing vehicle’s movement. This paper identifies key issues with BCC control and proposes solutions that retain the benefits of BCC while maintaining intuitive behavior. Specifically, a novel switching strategy is proposed to switch between ACC and BCC control modes by critically analyzing the driving conditions. The proposed system ensures acceptable driving behavior with predictable braking and acceleration, resulting in an
A, Arya, A, Aishwarya, D, Vishal Mitaran, M, Senthil Vel, Kumar, Vimal
Advanced Dual Dosing DeNOx System for Optimized NOx Reduction Under Future Emission Regulations2026-26-0230To be published on 01/16/2026
The evolution of global emission standards has imposed increasingly stringent limits on nitrogen oxide (NOx) emissions, particularly under Real Driving Emissions (RDE) testing protocols. These requirements demand effective NOx control across a wide range of operating conditions, posing a challenge for conventional single-injector Selective Catalytic Reduction (SCR) systems. This paper briefs about Dual Dosing SCR System designed to enhance NOx reduction performance by employing two Diesel Exhaust Fluid (DEF) injectors integrated within an advanced exhaust after-treatment system (EATS) configuration. The system features a close-coupled SCR on DPF (SDPF) followed by an underfloor SCR (UFSCR), enabling staged ammonia dosing. This layout promotes improved ammonia distribution and catalytic performance across both low-load and high-speed driving conditions. An Electronic Control Unit (ECU) governs the DEF injection using predefined dosing maps, with reference to real-time data from three
Hareesh, Sangaraju, Shanmugham, Balamurugan, V, Suryanarayanan
Review on the flyback converter design for multi-output2026-26-0200To be published on 01/16/2026
With the increasing demand for DC loads, DC-DC converters have become indispensable in modern power electronic architectures. With high-voltage applications typical DC-DC converter topologies are required which include isolation for safety and voltage level conversion. Among various isolated converter topologies, the flyback converter is widely favored for low-power applications, typically under 100 W, due to its simplicity and cost-effectiveness. Like other DC-DC topologies, the flyback converter can operate in either continuous conduction mode or discontinuous conduction mode (DCM). The work have focused on the design and performance analysis of a flyback converter operating in DCM, with a specific emphasis on magnetic component design and loss evaluation. A 55 W multi-winding flyback converter employing a passive snubber circuit is studied and implemented. The loss analysis is done with switch losses around 3.4W and the coupled inductor core losses around 1.5W and copper losses
S, Denis, Deshpande, Prathamesh Pravin, Deshpande, Rohan
Performance Analysis of Filter Resistance, Louver Airflow, and Fan Heat Dissipation to protect Swapping station Charger2026-26-0177To be published on 01/16/2026
Efficient thermal management in electric vehicle (EV) charging stations is critical for ensuring the reliability, safety, and longevity of power electronics. This study presents a comprehensive bench test analysis of three key parameters influencing charger cooling efficiency: filter resistance, louver airflow, and fan heat dissipation. A test bench was developed to measure pressure drop, temperature gradients, and air velocity variations across multiple filter types, louver orientations, and fan configurations. The results show that higher-efficiency filters (e.g., HEPA, MERV13) significantly reduce airflow, increasing thermal stress on electronic components, while optimized louver angles improve directional airflow, reduce turbulence, and enhance cooling performance. High-performance axial and centrifugal fans with adaptive control mechanisms further contribute to effective heat dissipation, maintaining stable operating temperatures under varying load conditions. This study provides
S, Sri Saran, chinnanna, Manjunath, Ajith, Arjun, B, Viswanathan, Kulkarni, Mukund, R, Vigneshwaran, Dhachinamoorthi, Sivanantham
Development of an Optimized XCP Software Stack for Real-Time Validation of Vehicle Control Units Using Next-Generation Communication Protocols2026-26-0190To be published on 01/16/2026
In EVs, todays trend is to integrate power conversion and traction inverter subsystems by ensuring the increase in reliability and improvement in efficiency and cost effectiveness. The increased safety requirement poses risk of maintaining safety standards and increase in cost and time for manufacturing. The main integrated EV systems consists of Onboard charger, DC -DC converter and PDU. Each of the components and software is continuously evolving and it requires to be tested and validated in cost effective manner. The paper describes the design and development of XCP (Universal Measurement and Calibration Protocol) software stack for connecting calibration systems to electronic control units. The Software stack help in the read and write variable in the memory content of the microcontroller at run time. It’s a network Protocol Originated From ASAM. The software stack is easy to understand and platform independent, allowing it to be used on any microcontroller
Uthaman, Sreekumar
Modeling and Analysis of Transient Behavior of Surge Protective Devices in Electric Vehicle Charging Systems2026-26-0178To be published on 01/16/2026
This paper introduces a modeling and experimentation methodology for transient analysis of surge protective devices (SPDs) for electric vehicle (EV) application. The suggested SPD topology is to shield the EV power electronics from surge events generated by the grid during charging, with implementation on the grid-EV interface. A new surge protection circuit is designed to suppress transient over voltages and allow real-time monitoring of surge conditions. The SPD is evaluated in SPICE simulator in the time domain, including its nonlinear spark over characteristics as well as resistive, inductive, and capacitive effects. The equivalent circuit is developed and evaluated by simulation under typical surge conditions. The outcomes prove the topology to be effective in clamping voltage, reducing energy transfer to the EV side, and achieving surge event detection. The contribution of this work lies in the establishment of dependable and smart surge protection systems for secure and
CHANCHAL, KUMAR PREM CHANDRA, kulkarni, Swanand, Rajaram Joshi, Sanjay, Patil, Sagar
SEooC-Based Design Framework for Integrated EV Power Conversion Systems under ISO 26262 Compliance2026-26-0192To be published on 01/16/2026
The rapid integration of electric vehicle (EV) power conversion elements—such as traction inverters, onboard chargers, and DC-DC converters—into unified architectures poses new challenges for ensuring functional safety compliance as per ISO 26262. This paper presents a system-level framework that leverages the Safety Element out of Context (SEooC) approach to design and validate reusable safety-critical components independent of vehicle-specific applications. By defining clear assumptions of use and ASIL decomposition strategies, the proposed method facilitates early-stage fault analysis and verification. The framework integrates model-based development with Hardware-in-the-Loop (HIL) testing and formal verification techniques to validate both control logic and hardware behavior under diverse fault injection scenarios. The result is a scalable, standards-compliant methodology that reduces time-to-market and enhances reliability in integrated EV power electronics platforms. The work
Uthaman, Sreekumar, Mulay, Abhijit B, Gadekar, Pundlik
DC Link Capacitor Size Reduction Using Phase-Shifted PWM Techniques for Pole Phase Modulated Induction Machine Drive2026-26-0170To be published on 01/16/2026
Multiphase machines i.e. electrical machines with more than three phases have many advantages compared to the three-phase machines for high power density applications. The major advantages of multiphase machines include lower space harmonics thereby reduced losses and improved efficiency, reduced torque pulsations leading to lesser vibrations and acoustical noise, higher fault tolerance which retains the self-starting ability with minimum deration in the output power in case of fault in one or more phases and enhancement of torque density by adding higher order harmonic currents into the stator currents. Requirement of power electronic switches with reduced rating compared three phase motor drives for a given power rating is another important advantage which supports employing multiphase machines in high power applications. Wider speed and torque ranges are other important requirements of a drive for high power traction and propulsion application. Conventional machines need to be over
A, Rajeshwari
AI based models as Virtual sensors to replace real sensors2026-26-0671To be published on 01/16/2026
Artificial Intelligence and Machine learning models have a large scope and application in Automotive embedded system. These models are used in automotive world for various applications like calibration, simulation, predictions etc. These models are generally very accurate and play the role of a virtual sensor. However, the AI/ML models are resource intensive which makes them difficult to execute on a largely optimized automotive embedded systems. The models also need to follow safety standards like ASIL-D. The current work involves creating a Global DoE with ASCMO to generate data from a 125cc single to create AI/ML model for the engine outputs like Torque, T3, Midcat temperatures etc. The created models were validated across the operating space of the engine and found to have good accuracies. With AI Coder, the torque and T3 prediction AI models were converted to embedded code which can be easily used as a virtual sensor in real time. Using these AI models, accurate predictions can be
Chouhan, Vineet Singh, Bulandani, Saurabh, Kumar, Alok, Varsha, Anuroopa, P R, Renjith
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
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
Shaping the Future of Mobility with Innovative Power Tailgate Testing Solutions2026-26-0473To be published on 01/16/2026
Abstract With increasing demand for automation and user convenience in modern vehicles, Power Operated Tailgates (POT) have become standard in premium and mid-segment cars. However, validating such systems—comprising electronic control units (ECUs), sensors, actuators, and mechanical components poses significant challenges in safety, reliability, and cost. This paper introduces a Hardware-in-the-Loop (HiL) based validation framework that allows comprehensive, automated, and safe testing of POT systems without depending on full vehicle prototypes. The HiL platform integrates Real Time Hardware and Real Time software with dynamic models to simulate real-world behaviors. It enables automated validation of normal and fault scenarios—such as open/close commands, anti-pinch protection, voltage sensitivity, and communication errors—ensuring robust system performance. The proposed framework accelerates development, improves test coverage, and supports early fault detection, making it a
More, Shweta, GHANWAT, Hemant, Shetti, Suraj, Jape, Akshay, Kulkarni, Shraddha, Jagdale, Nitin
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
Dynamic Diagnostic Controller Architecture for Scalable and Adaptive Zonal Based Vehicle Platforms2026-26-0689To be published on 01/16/2026
The rapid evolution of in-vehicle electronic systems toward zonal and High-Performance Computing (HPC)-based architectures introduces a new layer of complexity in automotive diagnostics. Traditional architectures, built on Controller Area Network (CAN) and Local Interconnect Network (LIN) protocols, operate on a uniform Real-Time Operating System (RTOS), enabling simplified and consistent diagnostic workflows across Electronic Control Units (ECUs). However, next-generation platforms must accommodate diverse communication protocols (e.g., CAN, LIN, DoIP, SOME/IP) and heterogeneous operating systems (e.g., RTOS, Linux, QNX), resulting in fragmented and inflexible diagnostic processes. This paper presents a Centralized Diagnostic Gateway architecture that addresses these challenges by enabling unified, scalable, and adaptive diagnostic capabilities across modern vehicle platforms. The proposed system consolidates protocol handling at the HPC level, abstracts diagnostic complexities, and
MUKHERJEE, SOUMYADEEP, Raman, Kothanda
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
"Leveraging Python-CAN and UDS for Cost Effective Automotive ECU Re-Programming"2026-26-0543To be published on 01/16/2026
Electronics with Software plays a crucial role to realize innovations in automotive industry. Advancement in automotive features has been fast paced, with rising number of ECUs (Electronics Control Unit) architecture increasing the complexity and cost pressure. While ECUs have established themselves the core unit to process and control vehicle including diagnostics. Hence ECU programming is vital for every player contributing to automotive development. Programming of an ECU involves several files like Bootloader, Application and calibration files, which are programmed over CAN bus using few of the widely used licensed tool such as Vector’s V-Flash, INCA-Flash, FlashR, etc. Despite the existence of major tools several organizations look for alternatives due to the high cost involved with license and CAN Hardware dependencies of manufacturers. Throughout this research various programming tools and CAN hardware compatibility were evaluated in combination, including time to program. The
Khot, Shubham, Iqbal, MD Farhan, Anilkumar, Sandhya, Tavhare Sr, Sarika, Bose, Indranil
Hardware in Loop Validation of Gear Selection Switch2026-26-0540To be published on 01/16/2026
The increasing complexity of modern automotive drive control systems necessitates the adoption of robust validation methods to ensure functional safety, reliability and customer satisfaction. This paper presents the development and implementation of a comprehensive Hardware-in-the-Loop (HIL) testing framework designed specifically for a specific ECU known as Gear Selection Switch (GSS)/Drive control switch (DCS) system. Hardware-in-the-Loop (HIL) Testing is a simulation-based testing technique where real physical hardware (like an electronic control unit, switch or sensor) is tested by connecting it to a virtual simulation of the rest of the system — instead of testing it inside a real vehicle. Following the analysis of all the field failure incidents reported till date for GSS, detailed root cause investigations were conducted using in-house testing and Ishikawa diagram analysis. A critical failure mode was identified and addressed through targeted mechanical design modification and
Bhuyan, Anurag, Jahagirdar, Shweta, Khandekar, Dhiraj Baburao
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
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
Achieving Robust Sensing Performance for Six-Airbag Systems: Design Approaches and Validation Techniques for Side Sensing2026-26-0030To be published on 01/16/2026
The introduction of GSR 16(E) in India mandates six airbags in passenger vehicles, aiming to enhance occupant safety. In parallel, the new Bharat New Car Assessment Program (BNCAP) outlines performance protocols that demand robust airbag deployment strategies to achieve a five-star safety rating. One of the critical challenges in meeting both regulatory and consumer safety expectations is the optimal packaging of the airbag Electronic Control Unit (ECU) and its associated impact sensors. These must perform reliably across regulatory tests, BNCAP protocols, and real-world accident scenarios. The location of side acceleration ‘g’ side impact sensors—whether mounted on the side sill, B-pillar, C-pillar, or door structures—is pivotal to achieving consistent and timely airbag deployment. These sensors must also demonstrate immunity to false triggers or missed events in both static and dynamic misuse and abuse conditions. Ensuring robust sensor performance under these varied conditions is
Kudale, Shailesh, Rao, Guruprakash, wayal, Virendra, Goswami, Tarun
Risk Based Security Monitoring Framework for CAN network2026-26-0616To be published on 01/16/2026
There is rapidly increasing advancement in Connectivity, Autonomous, Subscription and Electrification features in vehicles which are being developed. These trends have resulted in an increase in attack surface and security risks on vehicles. To handle these growing risks, it has become important to include passive security systems such as Intrusion detection systems (IDS) which can detect successful or possible attempts of intrusion into vehicle systems compromising their security. In vehicles based on Zonal Architecture, two types of IDS can be implemented, Network based IDS (NIDS) and Host Based IDS (HIDS). The NIDS is implemented in Gateway Electronic Control Unit (ECU) and can monitor multiple networks connected to Gateway, whereas the HIDS usually monitors one single host ECU. Extensive research material is available on NIDS for CAN Networks. For example, the CAN Network in a vehicle is monitored for various abnormal behaviours such as increased busload and invalid signal values
E L, Nanda Kumar, Mutagi, Megha, Sonnad, Preeti, Sharma, Dhiraj
Advanced SVPWM Techniques for Multi-Level Inverters: Enhancing Performance and Reducing Complexity2026-26-0147To be published on 01/16/2026
Recent advancements in electric vehicle (EV) technology have underscored the critical role of inverters. Traditional Pulse Width Modulation (PWM) schemes, commonly used by Original Equipment Manufacturers (OEMs), involve complex timing calculations and lengthy algorithms. This scheme proposes a novel method that eliminates the need for sector and region identification by utilizing sampled values of reference phase voltages, thereby reducing computational efforts and complexities. The proposed scheme can generate N-level PWM signals and offers the flexibility to operate with fewer levels, including in the overmodulation range. The process begins with the conversion of sampled reference phase voltages into timing signals. These timing signals are then processed by an algorithm designed to modify the modulating signals. The modulating signals are individually decoded to generate PWM pulses for each phase, making the scheme applicable to any multilevel inverter configuration. This
Bhanabhagvanwala, Prem Kiritkumar
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
EV Powertrain Systems Diagnostics & Prognostics utilizing AI & ML (LLM) based approach2026-26-0664To be published on 01/16/2026
This study introduces a novel Large Language Model (LLM)-driven approach for comprehensive diagnosis and prognostics of vehicle faults, leveraging Diagnostic Trouble Codes (DTCs) in line with industry-standard automation protocols. The proposed model represents a significant advancement in automotive diagnostics by not only identifying fault codes but also reasoning through the root causes behind them, thereby enhancing fault interpretability and maintenance efficiency. The LLM is trained on extensive service manuals, sensor datasets, historical fault logs, and OEM-specific DTC definitions, enabling context-aware understanding and correlation of faults. Analytical validation has been performed using real-world vehicle datasets from multi-brand platforms, demonstrating the model’s ability to detect complex fault chains and accurately predict probable root causes. By utilizing time series based projection of vehicle pattern, model could also predict the potential future faults basis the
Pandey, Suchit, Joshi, Pawan, KONDHARE, MANISH, CH, Sri Ram, Gajbhiye, Abhishek, S, Adm Akhinlal
Cross-ICA Trust Mechanism in Automotive Cybersecurity2026-26-0615To be published on 01/16/2026
With the ever increasing complexity and connectivity in modern vehicles, cybersecurity has become an indispensable technology. In the era of Software Defined Vehicles (SDVs) and Ethernet-based architectures, robust authentication between Electronic Control Units (ECUs) is critical to establish a trust. Further, the cloud connected ECUs must perform authentication with backend servers. These authentication requirements often demand multiple certificates to be provisioned within a vehicle, ensuring secure communication between various combinations of ECUs. As a result, a single ECU may end up storing multiple certificates, each serving a specific purpose. This work proposes a method to limit the number of certificates required in a given ECU without compromising security. We introduce a Cross-Intermediate Certificate Authority (Cross-ICA) Trust Architecture, which enables the use of a single certificate per ECU for inter-ECU communication as well as backend server authentication. In this
Venugopal, Vaisakh, Goyal, Yogendra, Raja J, Solomon, Rai, Ajay, Rath, Sowjanya
Standard SWS Requirement based Integration testing for classic AUTOSAR modules.2026-26-0507To be published on 01/16/2026
In the development of automotive ECUs, to keep performance in desired level, what remains constant is to verify, evaluate and validate ECU. Nowadays, Cars have multiple ECUs even in range of 50. Software is validated using target ECU, CAN communication and some I/O simulation techniques. Also, in some applications, virtual environment is created for testing. In this paper, method of Integration testing of AUTOSAR modules is presented which uses AUTOSAR SWS as its input. This makes standard test cases as SWS remains same for a AUTOSAR standard release. It enables a platform to efficiently test all layers of a AUTOSAR BSW modules after integration. For demonstration, we will use TriCore micro controller TC377TX from Infineon. Same controller is usually used in the development of automotive ECUs for various applications. Using winIDEA debugger from iSYSTEM, setup becomes easier to operate for any new person as it supports both debug and flash mode operation. Simplistic approach will be
Kelkar, Renu, Patil, Vardhman
Intelligent Child-Safety Inhibition framework for preventing accidental vehicle activation2026-26-0013To be published on 01/16/2026
Modern vehicle technologies such as keyless entry, push-button start, digital switches have made it easier and more convenient to operate cars. However, this ease of operation has also introduced new safety concerns, particularly the increased risk of accidental operations by children. This can lead to unintentional vehicle movement, injuries, and even fatalities. Existing safety features (e.g., unattended child presence alarms) mitigate entrapment risks but do not prevent children from unintentionally starting or shifting while inside. This paper proposes implementation of a solution for child-safety system which inhibits certain functionalities to prevent accidental operations by underage occupants. The proposed system combines multiple existing technologies like weight sensors, seat position detection, facial recognition, in vehicle camera tracking to determine the child presence. With this, certain operations can be temporarily inhibited, or the vehicle can ask for secondary
MOTE, VAISHALI, Garg, Mudit, Pasupuleti, Raju
Automotive Cybersecurity Measures in ECU Production2026-26-0628To be published on 01/16/2026
Modern vehicles use a network of Electrical Control Units (ECUs) that transmit over 2500 signals. The production of these ECUs is fraught with cybersecurity challenges that can lead to significant vulnerabilities, which pose risks not only to the suppliers but also to Original Equipment Manufacturers (OEMs) and end users. The automotive industry increasingly relies on sophisticated electronic systems but there is a lack of standardized approach to ensure robust cybersecurity measures during ECU production. It is imperative to establish effective safeguards against potential threats to ensure vehicle and passenger safety. This paper proposes a comprehensive approach to enhancing cybersecurity in ECU production. Key measures include the activation of cybersecurity protections in series production units, secure flashing and dump processes, effective plant password management, and securing the JTAG port to prevent unauthorized access. By implementing these measures, suppliers can
Kulanthaisamy, Nagarajan, M S, Tejaswini, Sankar, Ganesh
Feasibility and Performance of Post-Quantum Cryptography on Embedded Systems for Two-Wheeler Security2026-26-0622To be published on 01/16/2026
The proliferation of connectivity features (V2X, OTA updates, diagnostics) in modern two-wheelers significantly expands the attack surface, demanding robust security measures. However, the anticipated arrival of quantum computers threatens to break widely deployed public-key cryptography (RSA, ECC), rendering current security protocols obsolete. This paper addresses the critical need for quantum-resistant security in the automotive domain, specifically focusing on the unique challenges of two-wheeler embedded systems. This work presents an original analytical and experimental evaluation of implementing selected Post-Quantum Cryptography (PQC) algorithms, primarily focusing on NIST PQC standardization candidates (e.g., lattice-based KEMs/signatures like Kyber/Dilithium), on microcontroller platforms representative of those used in two-wheeler Electronic Control Units (ECUs) – typically ARM Cortex-M series devices characterized by limited computational power, memory (RAM/ROM), and strict
Mishra, Abhigyan
Multi-Physics Simulation and Reliability Analysis of Onboard EV Charger2026-26-0499To be published on 01/16/2026
The rapid advancement of electric vehicle (EV) technology has created a demand for reliable and Thermal - efficient electronic components for power electronics and control systems on printed circuit boards (PCBs). The research looks at the overall simulation and study of a PCB for Electric Vehicles, including how it handles heat, stress, and reliability in real working conditions like considering casing (Heat Sink) in which PCB is held, into the simulation. We have used numerical based methods (reliability), Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) methods to simulate heat performance looking at steady-state and changing load profiles common in EV powertrains. We ran structural and thermal simulations to check the PCB's toughness against heat expansion and shaking loads often seen in cars. We also did a reliability check looking at heat cycling life for PCB components, and possible ways it could break to guess long-term toughness. The results show critical
kanbarkar, Suraj Omana, Deore, Uday, Patil, Nishikant, Nayak, Shibabrata
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
A Digital Twin Framework for Real-Time Optimization of Solar-Integrated Energy Systems2026-26-0418To be published on 01/16/2026
In the context of increasing global energy demand and climate change concerns, the integration of renewable energy sources with advanced modelling technologies has become essential for achieving sustainable and efficient energy systems. Solar energy, despite its potential, continues to face challenges related to performance variability, limited real-time insights, and reactive maintenance. To overcome these barriers, this work presents a Digital Twin framework aimed at optimizing solar-integrated energy systems through real-time monitoring, predictive analytics, and adaptive control. This work presents a Digital Twin framework designed to address the challenges of designing, operating, maintaining, and estimating renewable energy systems, specifically solar power, based on dynamic load demand. The framework enables the real-time forecasting and prediction of energy outputs, ensuring systems operate efficiently and maintain peak performance across diverse conditions. The proposed
R, Akash, Burud, Priti Raju, Gumma, Muralidhar
Multiphysics Analysis of Heat Sink Designs for Efficient Thermal Performance in Power Electronics Systems2026-26-0446To be published on 01/16/2026
The thermal management capability of power electronic (PE) systems has a critical impact on the performance and efficiency of electric, fuel cell, or hybrid vehicles. Bus bars, high resistance sensor devices, semiconductor switches, power capacitors are the primary components, which has major contribution in total heat generation in electrical drive unit. As PE packaging sizes are projected to become smaller, the challenge of managing increased heat dissipation becomes more critical. Hence, this paper numerically compares conventional and advanced cooling strategies to determine the best possible thermal management scenario. A multi-physics finite element model, integrating fluid, electrical, thermal, and structural fields, is employed to analyze heat generation within the PE system and the associated cooling mechanisms. Due to the significant impact of surface roughness and topology on electrical and thermal contact resistance, the Cooper-Mikic-Yovanovich (CMY) correlation is utilized
Singh, Praveen Kumar, Natarajan, Nesamani, Murali, Sariki
Advancing Complete Vehicle Engineering with ADAS Simulation through Virtual Development and Global Collaboration2026-26-0409To be published on 01/16/2026
The automotive industry is currently undergoing a profound transformation, driven not only by the shift toward renewable propulsion systems but also by the increasing emphasis on the software-defined vehicle. In combination with accelerating project timelines, this shift creates challenges in integrating electrical and electronic systems throughout the complete vehicle. Magna Vehicle Engineering (MVE) faces these challenges by intensifying the use of virtual development, a strategy that spans the entire vehicle development process and necessitates global collaboration among engineering teams. This publication presents a real-world example of how the automotive sector can transition from a traditional on-premises-environment (OPE) simulation setup to a Simulation-as-a-Service (SIMaaS) model. Our primary focus is on operational and collaborative dimensions, illustrating the significant influence these new approaches have on engineering processes and the wider implications for innovation
Wellershaus, Christoph, Wakharde, Sagar, Bernsteiner, Stefan
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
Resilient Design Strategies for Wireless Charger ECUs: A Proactive Threat Analysis and Risk Assessment Framework for Ensuring Cybersecurity in EV Charging Ecosystems2026-26-0173To be published on 01/16/2026
The goal of Automotive cybersecurity is safety, reliability, confidentiality and authenticity. As the automotive industry grows smarter, so too do the cybersecurity protocols used to protect vehicles from malicious actors. Automotive cybersecurity secures communication networks, electronic systems, software and data collected by the new wave of intelligent cars The paper describes the cyber security threats its analysis ion wireless charging
Uthaman, Sreekumar, Mulay, Abhijit B, Gadekar, Pundlik
Thermal Model of a Traction Inverter for an Automotive Application including DC-link capacitor, power modules and electrical connections2025-01-0519To be published on 11/25/2025
In automotive applications a traction inverter is used for energy conversion between battery and electrical machine. For high performance drives lightweight design is demanded. Additionally, higher efficiency of the inverter results in lower cooling requirements but is often achieved by increasing component weight. Hence, thermal modelling of the components and their interactions is essential to determine the best compromise between weight, efficiency and cooling requirements. In traction inverters the DC-link capacitors, power modules, high voltage electrical connections and low voltage devices dissipate power. In this paper the focus is on the thermal modelling of the DC-link capacitor, power modules and high voltage electrical connections and their system, as the performance of the inverter is defined by these components. The thermal models are derived based on geometries and physical properties. First, the DC-link capacitor thermal model is presented and considers the anisotropic
Blaschke, Wolfgang Maximilian, Mengoni, Leonard, Pflüger, Robin, Kulzer, André Casal
ANALYSIS OF FACTORS INFLUENCING THE EFFICIENCY IMPROVEMENT POTENTIAL OF A WINDING CHANGEOVER IN AN ELECTRIC MACHINE2025-01-0518To be published on 11/25/2025
The winding configuration of an electric machine has a decisive influence on the properties of a traction drive. When designing the electric drive, the optimum compromise must be found between maximum torque, maximum power and high efficiency over a wide operating range. A decisive factor in this design conflict is the choice of the winding configuration. The concept of winding switching offers a way of solving the design conflict and improving the characteristics of the drive through the additional degree of freedom of the variable winding configuration. Switching the number of parallel winding branches in a serial and parallel configuration is a promising approach to overcome the challenge of a high spread between maximum power and high efficiency in customer related driving scenarios of an electric vehicle. The aim of this study is to identify factors influencing the efficiency improvement potential of the winding switching topology under consideration compared to a reference drive
Oestreicher, Raphael, Koenen, Christian, Kulzer, André Casal
Research on Off-Road Performance Optimization Strategy for Agricultural Smart Vehicles Based on Traction Control System2025-99-0118To be published on 11/11/2025
(TC)The paper presents a designed and evaluated optimal traction control (TC) strategy for unmanned agriculture vehicle, where onboard sensors acquire various real-time information about wheel speed, load sharing, and terrain characteristics to achieve the precise control of the powertrain by establishing an optimal control command; moreover, the developed AMT-adaptive SMC combines the AMT adaptive control algorithm and the SMC to implement the dynamic gear shifting, torque output, and driving mode switching to obtain an optimal power distribution according to different speed demand and harvest load. Based on the establishment of models of the autonomous agriculture vehicle and corresponding tire model, a MATLAB/Simulink method based on dynamic simulation is adopted to simulate the unmanned agricultural vehicle traversing different terrains conditions. The results from comparison show that the energy saving reaches 19.0%, rising from 2. 1 kWh/km to 1. 7 kWh/km, an increase in
Feng, Zhenghao, Lu, Yunfan, Gao, Duan, An, Yi, Zhou, Chuanbo
A Scalable Approach for Transient Thermal Modeling of Automotive Power Electronics2025-01-507311/07/2025
Efficient thermal management is critical for the reliability and performance of power electronics systems in automotive applications. This work presents a computationally efficient modeling approach for transient thermal simulation of power electronic systems, with a focus on inverter modules using multiple MOSFETs mounted on a printed circuit board assembly (PCBA). A case study of an inverter module comprising six MOSFETs arranged as high-side and low-side pairs for a three phases system mounted on a PCBA, attached to a heat sink is considered. Computational fluid dynamic (CFD) simulations in Ansys® Icepak™ are performed considering different heat transfer mechanisms, including natural convection, forced convection at constant velocity, and forced convection with varying flow velocity. A transient thermal model is developed using the lumped parameter linear superposition (LPLSP) method, a hybrid approach that combines lumped parameter modeling with the principle of linear
Padmanabhan, Neelakantan
Enhancing Tractor Operator Comfort and Safety Through Advanced Drive Assistance Features2025-28-021611/06/2025
Operating tractors on inclined & uneven terrains for prolonged operations presents safety and ergonomic challenges. Applications such as shuttle operations, loader use, or long-duration implement usage prove to be highly critical based on field observations across Mahindra tractor platforms and it requires skill & experience for maneuvering at ease across usage. We identified the need to offload these repeatable tasks from the operator to improve control & offer comfort. This paper explains the role of Advanced drive assistance features developed for Mahindra tractors suited for all prime mover types – ICE, Alternate Fuels including electric. These features include Hill Hold, Electronic parking brake, Cruise control & Creep mode. Each feature is designed to offload frequent manual tasks from the operator and ensure smoother, safer operation. Hill hold and electronic parking brake work in tandem to offer unparalleled safety by eliminating the fear of tractor roll back in uneven terrain
M, Rojer, Sundaram, Pavithra, Natarajan, Saravanan, Devakumar, Kiran, Muniappan, Balakrishnan
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