Browse Topic: Energy consumption

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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
Indian City Electric Bus Powertrain Optimization Using Active Learning Simulation Methodology2026-26-0657To be published on 01/16/2026
Public transport electrification is going to play a massive role in India's COP26 pledge to achieve net zero emissions by 2070. India plans to electrify 800,000 buses in a push towards 30% EV penetration by 2030. Further encouraged by government incentives under National Electric Bus Program (NEBP), eBus market is expected to grow at a CAGR of ~86% annually over the next 5 years. With most OEMs going for fleet electrification for reducing CO2 emissions and to cater to growing demand in Indian cities for cleaner public transport, improving powertrain efficiency and performance of state-of-the-art eBuses is a natural progression of e-mobility sector development in India. The first step in designing powertrain for an electric city bus is to determine the motor(s) size and transmission specifications (number of gears, gear ratios etc.). Complications arise due to a wider and non-linear operation range of eBus. This study focuses on powertrain optimization for a medium duty electric city
Emran, Ashraf, Berry, Sushil, Xia, Feihong, Chen, Bicheng, Sandhu, Rouble
Quantifying the Energy Consumption of HVAC Operation and Its Impact on the Range of Electric Buses Across Diverse Climatic Conditions2026-26-0204To be published on 01/16/2026
Electric buses (e-buses) are essential to sustainable public transport, but their real-world efficiency and range are heavily affected by auxiliary systems, particularly the Heating, Ventilation, and Air Conditioning (HVAC) system. This study investigates how ambient temperature variations and HVAC loads influence energy consumption, range, and efficiency in e-buses operating under diverse climatic conditions. The methodology combines field data collection from urban e-buses across seasons—including extreme summer and winter—with controlled lab testing. Field measurements included ambient temperature, HVAC demand, vehicle speed, state of charge (SOC) variation, and energy consumption. These inputs were used to develop real-world duty cycles, replicating actual thermal loads, passenger profiles, idling periods, and driving patterns. In the lab, these cycles were simulated using a chassis dynamometer and environmental chamber, with HVAC systems tested at controlled ambient temperatures
Vishe, Prashant, Dalela, Saurabh, Joshi, Madhusudan, Saraswat, Shubham
EV Transmission efficiency estimation using Simulation X2026-26-0453To be published on 01/16/2026
Electric vehicle (EV) transmission efficiency is crucial for optimizing energy use and enhancing performance. It minimizes power losses during energy transfer from the motor to the wheels, directly impacting the vehicle's range and battery life. High efficiency ensures smoother acceleration and better driving dynamics, improving the overall user experience. Unlike internal combustion engine (ICE) transmissions, EV transmissions often employ simpler, single-speed systems, reducing complexity and energy loss. Efficient transmissions help reduce energy usage, lower costs, and minimize environmental impact. As a result, transmission efficiency plays a vital role in ensuring the sustainability and reliability of EV designs. This paper proposes a simulation model based methodology to estimate EV transmission efficiency based on modelica models developed on simulation X. A single speed EV model is developed which contains whole transmission layout discretized into simple components which
Sutar, Suresh, Thambala, Prashanth, Patel, Hiral
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
Cabin modelling approach in 1D simulation for studying the impact of partial recirculation in warmup for BEV at extreme cold ambient conditions2026-26-0450To be published on 01/16/2026
The inclusion of the cabin in HVAC simulations gained more importance with the introduction of BEV’s. Thermal management and efficiency being in the forefront, exploration for the possible opportunities to reduce the energy consumption for meeting the comfort of passengers gained importance. The energy consumed by the Electric coolant or air heaters for heating the cabin at extreme cold ambient temperatures to deliver similar comfort to that of an ICE version is 2 to 3 times that of the energy required for cooling the cabin in a high ambient condition. Even during the sizing of HVAC system, if traditional method of ambient or fresh air conditions is considered for calculating the requirements, the result is we would require a product which will have unrealistic performance demand. Hence to explore different possibilities for studying the system, usage of recirculation air was considered as one of the options. This paper talks about the approach followed in creating the cabin model in
Veerla, Eswar, Subramanian, Karthik
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
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
Numerical Analysis of Rear Windshield Deicing with Heating Wires2026-26-0373To be published on 01/16/2026
Motivation: Windshield deicing is a crucial safety feature in vehicles, typically associated with the front windshield. However, the rear windshield also plays a significant role in ensuring safety and needs to be clear. Deicing of the front windshield is usually done using the hot air nozzle from the HVAC system. Modern rear windshields are equipped with heating wires that generate heat upon electrical supply to facilitate deicing. However, excessive use of these heating wires can lead to unnecessary energy consumption, impacting the vehicle's overall efficiency. This is the key motivation behind the development of an optimized heating system for the rear windshield. Problem: Design an optimized heating system for rear windshields that balances effective deicing with minimal energy usage, enhancing both safety and energy efficiency in vehicles. Methodology: This paper explores the numerical application of heating methods using CFD software to deice the rear windshield. The study
Kumaravel, Rajarajeshwari, Ibrahim, Sayyaf, Mathew, Ronnie
Enhancing Thermal Comfort and Vehicle Energy Efficiency: A Simulation Study Using GT ISE + TAITherm2026-26-0458To be published on 01/16/2026
The automotive industry is encountering difficulties in balancing occupant thermal comfort with HVAC system energy efficiency, particularly under the hot Indian conditions, to meet user expectations and address range anxiety in electric vehicles. Front-loaded comfort-based approach simulations during the development stages have the potential to increase energy savings compared to the stages required at the end of product design. The focus of the current research targets HVAC energy consumers, such as blower flow rates, temperatures, and Cabin heaters, and investigates how these factors influence occupant overall comfort. Additionally, design elements like glass properties and the impact of solar radiation on human comfort are studied at the early concept stages to adopt an energy-based approach for comfort optimization. Simulations are conducted using GT-SUITE and GT-TAITherm software, integrated with CFD field maps platforms to obtain exact flow field predictions. The simulation
BAVIRISETTI, SAI SAMPATH KUMAR, Chothave, Abhijeet, Gummadi, Gopakishore, Khan, Parvej, Thiyagarajan, Rajesh
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
Using cross correlation and zero crossing point detection methods for evaluation of phase angle and subsequently other power parameters for distorted three phase electrical system2026-26-0149To be published on 01/16/2026
Precise estimation of power metrics like active power, reactive power and apparent power is mandatory for effective control and monitoring of three phase power systems. On the other hand there might be challenges like waveform distortion, noisy signals and unbalanced load circumstances. traditional methods may not always provide accuracy in such an environment thus to address that in this study, we are using cross correlation and zero crossing methods to estimate power parameters of a three phase system. We are using these signal processing techniques to find phase angle, which in turn determines all other power parameters like active power, reactive power, apparent power, power factor. While Cross correlation tracks both the signals at different time lags and evaluate similarity between both the signals, zero crossing point approach identifies some particular locations where signal crosses zero axis. This analysis can be used in various applications such as power parameters monitoring
Panchal, Sanjivani Vishwanath, Roy, Sandipan
Digital Control of Synchronous Rectification and Dead Time Configuration for Improving Efficiency and Longevity of DC Motors2026-26-0089To be published on 01/16/2026
Abstract: - This paper elucidates the implementation of software-controlled synchronous rectification and dead time configuration for bi-directional controlled DC motors. These motors are extensively utilized in applications such as robotics and automotive systems to prolong their operational lifespan. Synchronous rectification mitigates large current spikes in the H-bridge, reducing conduction losses and improving efficiency [1]. Dead time configuration prevents shoot-through conditions, enhancing motor efficiency and longevity. Experimental results demonstrate significant improvements in motor performance, including reduced thermal stress, decreased power consumption, and increased reliability [2]. The reduction in power consumption helps to minimize thermal stress, thereby enhancing the overall efficiency and longevity of the motor.
Patil, Vinod, Kulkarni, Malhar, Soni, Asheesh Kumar
Representative Drive cycle velocity profiles Prediction using ML Algorithms for Energy Efficiency2026-26-0638To be published on 01/16/2026
Maximizing vehicle energy efficiency and performance is a high priority for the automotive industry as customer expectations rise. Engineers constantly face the challenge of balancing the conflicting goals of achieving superior performance and maximizing energy efficiency, all while meeting increasingly tight development timelines. Leveraging digital methods can potentially enable a considerable reduction in development lead times. Driving cycles act as standardized measurement procedures for certifying a vehicle's fuel efficiency and driving range. Representative velocity profiles condense numerous real-life driving cycles to enable quicker energy analysis and driver feedback evaluation. This paper introduces a novel methodology for generating synthetic drive cycles, such as average velocity cycles and ideal consumption velocity cycles, based on real-life driving scenarios. In this study, the importance of creating representative drive cycles to enhance vehicle performance and energy
Kanakannavar, Rohit, Kelkar, Kshitij, Sadalge, Anand
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
The Aerodynamic development of a Compact SUV for FE improvement and compliance with CAFE norms2026-26-0595To be published on 01/16/2026
The Mahindra 3XO is a compact SUV, the first-generation was introduced by Mahindra in 2018. This paper explores some of the challenges entailed in developing the next generation of this successful product, maintaining exterior design cues while at the same time improving its aerodynamic efficiency. A development approach is outlined that made use of both CFD simulation and Coastdown testing at MSPT (Mahindra SUV proving track). Drag coefficient improvement of 40 counts (1 count = 0.001 Cd) can be obtained for the best vehicle exterior configuration by paying particular attention to: • AGS development to limit the drag due to cooling airflow • Front wheel deflector optimization • Mid underbody cover development (beside the LH & RH side skirting) • Wheel Rim optimization • Rear wake control strategy In this paper we have analysed the impact of these design changes on the aerodynamic flow field, Pressure plots and consequently drag development over the vehicle length is highlighted. An
Vihan, Nikhil
Efficiency Enhancement of Electric Vehicle Drivetrains through Advanced Gearbox Strategies2026-26-0053To be published on 01/16/2026
In the pursuit of sustainable mobility solutions, optimizing drivetrain efficiency has emerged as a critical factor in enhancing the overall performance, reliability, and market acceptance of electric vehicles (EVs). This study specifically focuses on achieving efficiency improvements within the gearbox system of Electric Vehicles, a major contributor to mechanical losses in the drivetrain. Key technical strategies explored include the adoption of low-viscosity lubricants, utilization of low-friction bearings, incorporation of high-efficiency oil seals, and the application of low-loss gear designs. Collectively, these enhancements aim to reduce mechanical frictional losses, leading to tangible benefits such as increased vehicle driving range, reduced energy consumption, lower carbon emissions, and decreased long-term maintenance costs. In addition to component-level improvements, the study investigates the integration of a 2-speed gearbox within electric vehicles as a system-level
Agrawal, Devesh, Bhardwaj, Abhishek, Bhandari, Kiran Kamlakar
Analysis technique of Tractor Hydraulic system power loss contribution2026-26-0537To be published on 01/16/2026
To develop a Test Method & Procedure for measuring the Tractor hydraulic system power loss contribution. Tractor engine power measurement test conducted through tractor PTO with the help of eddy current dynamometer in Tractor PTO test bed. In this PTO test bed, the Major contribution of Engine power consumed for Transmission drive line shall be verified. In one of M&M technology project, wet PTO with integrated hydraulic system not possible to measure the Hydraulic power consumption in the PTO test bed. To measure the wet PTO transmission drive line power consumption, need to separate the Hydraulics system. First time in tractor industry hydraulics system isolated & transmission power loss measurement done to improve new Technology systems performance in M&M tractors especially in wet PTO transmission. Hence, we decided to isolate the Hydraulics system to measure the Transmission power loss. We have planned to develop & adopt our in-house test facility with suitable resources to drive
M, Kalaiselvan, Raja, R, Udayakumar, S, Prashant, Bange, Vijayakumar, Narayanan
Optimization of a Positive Displacement Type Supercharger Using Response Surface Modeling (RSM)2026-26-0429To be published on 01/16/2026
Air suction in a naturally aspirated engine is a crucial influencing parameter to dictate the specific fuel consumption and emissions. For a multi-cylinder engine, a turbocharger can well address this issue. However, in a single or two-cylinder engine, the usage of turbocharger is not recommended, due to the lack of availability of continuous exhaust energy pulses. A supercharger solution comes handy in this regard for a single or two-cylinder engine. In this exercise, we explore the possibility of the usage of a positive displacement type supercharger, to enhance the air flow rate of a single cylinder, naturally aspirated, diesel engine for genset application, operating at 1500 rpm. The supercharger parametric 3D CAD model was prepared in Creo, with (a) Generating radius, (b) depth of blower and (c) clearance between lobes & lobe and casing, being treated as three parameters. The optimum supercharger design was expected to (a) generate a boost pressure of minimum 0.4 bar (gauge), (b
Satre, Santosh Dadasaheb, Mukherjee, Nalini, Rajput, Surendra, Nene, Devendra
Next-Gen Driver Health and Wellness Platform for Fatigue Detection and Emotional Wellbeing Monitoring2026-26-0639To be published on 01/16/2026
Driver fatigue and emotional distress are major contributors to traffic accidents, especially among long-haul and professional drivers, making their detection a critical area in road safety and public health. While existing research has explored various sensor-based and wearable solutions to monitor driver states, these approaches often suffer from high cost, intrusiveness, or limited scalability. Camera-based systems have recently gained attention for being less invasive and more practical for real-world deployment; however, many still depend on multiple sensors or cloud-based processing, which raise concerns around energy consumption, privacy, and integration complexity. To address these gaps, we present a sustainable, camera-only Driver Health and Wellness Platform for real-time fatigue detection and emotional wellbeing monitoring. The system leverages a single in-cabin camera and applies lightweight, edge-optimized computer vision models to analyze facial features, eye dynamics
Iqbal, Shoaib, Imteyaz, Shahma
Innovative Preconditioning Solutions for Efficient High-Current Battery Charging2026-26-0167To be published on 01/16/2026
In high-performance charging systems, managing higher currents is crucial for efficient battery charging. However, elevated battery and charging gun pin temperatures pose significant challenges, limiting the duration and effectiveness of high-current charging. Our advanced control system addresses these barriers by optimizing charging time while maintaining optimal temperature ranges for both the battery and charging gun. This is achieved through innovative preconditioning solutions that incorporate both active and passive cooling configurations. Our system features a unique preconditioning approach with dedicated cooling circuits for the charging socket and battery. The passive liquid cooling system ensures effective temperature management without additional energy consumption, while the active liquid cooling system provides enhanced cooling capabilities for more demanding scenarios. By integrating these cooling configurations, our control system significantly reduces charging time
Badgujar, Pankaj Ravindra, Bhosale, Subhash, Dave, Rajeev
Transforming Gear Manufacturing_ A Deep Learning Approach to Quality Prediction2026-26-0646To be published on 01/16/2026
The automotive industry is rapidly transitioning towards Industry 4.0, transforming vehicle manufacturing. To achieve a lower carbon footprint, it is crucial to minimize raw material wastage and energy consumption. Reducing component wastage, lead time, and automating gear manufacturing are key areas. Gear micro-geometry inspection is vital, as variations affect service life and NVH (Noise, Vibration, Harshness). Despite standards for permissible errors, manual evaluation is often needed.This subjective evaluation approach will have a possibility that a gear with undesired variations gets assembled into the product. These issues can be detected during NVH testing, leading to replacement of part and re-assembly thus increasing lead time. This generates a need for an automated system which could reduce the human intervention and perform the activity. This paper discusses methodologies to meet these requirements and achieve desired results. The research aims to develop a deep learning
Ramakrishnan, Gowtham Raj, Baheti, Palash, PR, Vaidyanathan, Durgude, Ranjit, Bathla, Archana, R, Greeshmita, V, Rangarajan
Remaining Charging Time Accuracy Improvement through Preconditioning Prediction in Electric Vehicles2026-26-0678To be published on 01/16/2026
Remaining Charging Time (RCT) is an essential metric that is displayed to the customer/driver while charging the vehicle. It tells the driver how much time is remaining for the vehicle to be charged to 100% Display State of Charge (SOC) or the target SOC set by the driver. This metric helps drivers plan their time and decide when to unplug their device. For large battery systems like electric vehicles, the understanding of how much longer the battery needs to charge can help optimize energy use and avoid overcharging. The avoidance of un-necessary prolonged charging affects the long-term health of the battery. The RCT is calculated using a basic formula as the ratio of total energy needed to charge the battery to target SOC and the power pushed into the battery for charging. In this RCT formula numerator for a battery to be charged to a specific target SOC is fixed, but the denominator depends on lot of factors during charging and Battery Preconditioning is one of those factors that
Jawed, Shahid, Srikantaiah, Sudarshan
Performance Analysis of Hydrogen Fuel Cell Electric Vehicle for Intercity and Intracity Applications2026-26-0266To be published on 01/16/2026
Hydrogen Fuel Cell Electric Vehicles (FCEVs) are emerging as a sustainable solution to reduce greenhouse gas emissions in the transportation sector, in line with the Paris Agreement and global net-zero emission goals. This paper presents a comprehensive performance analysis of the FCEV powertrain under intercity and intracity driving conditions. The study focuses on key parameters such as fuel cell system efficiency, energy consumption, hydrogen usage, and overall drivetrain response. Using simulation models validated with real-world driving data, the performance of the powertrain is evaluated across varying speed profiles, vehicle loads, and driving cycles. The analysis also considers the impact of auxiliary load including HVAC systems and consumption of other electric components on the powertrain efficiency and energy balance. Results highlight that the FCEV powertrain performs efficiently during intercity driving due to stable speed conditions and low stop-start frequency, while
Patil, Nikhil Nivrutti, Gawhade, Ravikant, Gadve, Dhananjay, Saurabh, Saurabh, Bhardwaj, Rohit, Ahmed, Yasir, Amancharla, Naga Chaithanya
Comparative Analysis of Charger Identification Methods in Electric Truck Routing Algorithms2026-26-0206To be published on 01/16/2026
Optimizing Vehicle Routing is a key application for determining the most effective sequence of locations in electric trucks. This optimization not only enhances operational efficiency but also minimizes energy consumption and reduces overall costs. A critical aspect of Optimal Vehicle Routing is identifying charging stations along the route, particularly for electric vehicles with specific range requirements. The availability of these charging stations are crucial for maintaining the continuity of operations and preventing delays. This paper explores multiple methods for charger identification, simulating and comparing their effectiveness. The primary parameter for comparison is the execution time of the algorithm, which directly impacts the feasibility of real-time applications in logistics. The results of this study provide insights into the efficiency of different charger identification methods within the Optimal Vehicle Routing framework. By analysing execution times, the paper
Bhat, Adithya, Prasad P, Shilpa, Kolakar, Rakshita, Myers, Michael, Klein, Fischer, Shrivastava, Himanshu
Advancing Circular Economy in India's Automotive Sector: Challenges and Sustainable Solutions2026-26-0238To be published on 01/16/2026
This research examines the fundamental principles of the Circular Economy in relation to the automotive industry in India, a sector that plays a vital role in the country's economy. However, it also presents significant challenges concerning energy consumption and environmental impact. The circular economy framework offers a transformative approach throughout a vehicle’s lifecycle, guiding the automotive industry toward a more sustainable transportation system. One of the key strategies defined by the global automotive commission for decarbonizing this sector involves increasing the recycled plastic content in vehicles to 20-25% by 2030. This target necessitates the recovery of plastics from end-of-life vehicles, though these materials are rarely integrated into compounds today. The automotive industry's reliance on plastics has grown substantially due to their lightweight properties, which enhance fuel efficiency, reduce CO₂ emissions, and improve versatility and mechanical
Kumar, Vijay Bhooshan
Dynamic Prime Mover Management for Enhanced Energy Efficiency in Electric Tractors2026-26-0185To be published on 01/16/2026
Electric tractors present unique opportunities for efficient power management by decoupling traction and auxiliary loads. In the proposed system, two independent electric motors are employed: one dedicated to vehicle traction and the other to drive the power take-off (PTO) and hydraulic functions, including steering and auxiliary attachments like loaders. Hydraulic flow demand directly impacts operational productivity; traditionally, hydraulic flow is linked to engine speed, requiring frequent manual adjustments. This paper proposes an innovative dynamic control strategy that optimizes motor speed based on real-time application demands, introducing three distinct modes: Low Idle Mode, Loader Mode, and PTO Mode. The Vehicle Control Unit (VCU) at the heart in coordination with the Farm Machinery Control Unit (FMCU) and Motor Control Unit (MCU), dynamically selects the appropriate mode based on user inputs such as PTO activation and joystick controls Low Idle Mode minimizes energy usage
Natarajan, Saravanan, P, Shanmugavel, M, Rojer, Joshi, Priyanka, sundaram, Pavithra
India WLTC vs MIDC: Comparative Analytical study on BEV Range & Energy Consumption as per AIS175 draft & AIS039/0402026-26-0244To be published on 01/16/2026
The Main Objective of WLTP (Worldwide Harmonized Light Vehicles Test Procedure) was to standardize the Globally Harmonized Test Procedure for evaluating Emission/ FE/ Range of Light Duty Vehicles. Europe has already adopted the WLTP from 2018. WLTC is a global harmonized test cycle that provides realistic emissions/ Range estimation based on its aggressive driving patterns. In India, currently Continuous Full MIDC (Modified Indian Driving Cycle) used to declare the Range of BEV's. Automotive Industry Standard (AIS) released a AIS 175 draft report for development of WLTP regulation in India (iWLTC : India WLTC). The real road Range of Battery Electric Vehicle (BEV) is observed 25% ~ 35% lower than declared Range of Full MIDC AER (All Electric Range). In Europe, real road range of BEV is 10% ~ 15% lower than declared range of WLTP AER. Analytical study performed on BEV Range/ EC as per AIS 175 draft & AIS 039/040 regulation to compare the impact of iWLTC vs MIDC cycle. The Range & Energy
Shiva Kumar, Mucharla, Tentu, Kavya
Qualitative and Quantitative Correlation Study for Exterior Aerodynamics for Automotive Vehicle2026-26-0407To be published on 01/16/2026
The objective of the exterior aerodynamic performance assessment of automotive vehicles is to reduce the aerodynamic drag pressure and rear side wake zone, which improves overall energy consumption of the vehicle. Almost 30 to 40% of the energy is required to overcome the drag force and wake zone pressure offered by the air on the automotive vehicle. With the increase in high performance computing power (HPC) and its affordability, computational fluid dynamics (CFD) has become a popular and more effective tool for aerodynamic design and analysis in the automobile industry. In the real-world scenario, automotive vehicle is subjected to varying wind and operating conditions which affect its aerodynamic characteristics, and therefore it is difficult to reproduce such physical phenomenon in a conventional wind tunnel. Hence, the entire aerodynamic assessment was done in wind tunnel which is equipped with advanced aerodynamic assessment techniques like wheel rotations, boundary layer
Chalipat, Sujit, Biswas, Kundan, Tare, Kedar
Evaluating Thermal Control Strategies to Improve Electric Vehicle Range Using GT Suite2026-26-0362To be published on 01/16/2026
This study focuses on enhancing energy efficiency in electric vehicle (EV) thermal management systems through the development and optimization of control logic. A full vehicle thermal management system (VTMS) was modeled using GT-Suite software, incorporating sub-systems such as the high-voltage battery (HVB), e-powertrain (EPT), and an 8-zone cabin. Thermal models were validated with experimental data to ensure accurate representation of key dynamics, including coolant-to-cell heat transfer, cell-to-ambient heat dissipation, and internal heat generation. Control strategies were devised for Active Grille Shutter (AGS) and radiator fan operations, targeting both cabin cooling and e-powertrain thermal regulation. Energy consumption was optimized by balancing aerodynamic drag, fan power, and compressor power across various driving conditions. A novel series cooling logic was also developed to improve HVB thermal management during mild ambient conditions. Simulation results demonstrate
Chothave, Abhijeet, Kumar, Dipesh, Gummadi, Gopakishore, Khan, Parvej, Thiyagarajan, Rajesh, Pandey, Rishabh, S, Ananth, Anugu, Anil, Mulamalla, Sarveshwar, Gangwar, Adarsh
Drive Cycle Based Energy Audit & Range Estimation for 4X2 Electric Truck2026-26-0163To be published on 01/16/2026
Transportation sector in India accounts for 18% of total energy consumption. Demand of energy consumption is being met by the imported crude oil, which makes transportation sector more vulnerable to fluctuating international crude oil prices. India is mindful of its commitment in 2016 Paris climate agreement to reduce GHG emissions by 35% by 2030 as compared to 2005 levels. To fast track the decarbonization of transportation sector, commercial vehicle manufacturers have been exploring other viable options such as battery electric vehicles (BEVs) as a part of their fleet. As on today, BEV has its own challenges such as range anxiety & high total cost of ownership. Range anxiety can be certainly addressed by optimum sizing of electric powertrain, reduction in specific energy consumption (SEC) & use of effective regeneration strategies. Higher SEC can be more effectively addressed by doing vehicle energy audit thereby estimating the energy losses occurring at each powertrain component of
Gijare, Sumant, Karthick, K., Juttu, Simhachalam, Thipse, Sukrut S., A, Jothikumar, J, Frederick Royston, SR, Subasree, G, Harini, M, Senthil Kumar
LIN Network for Vehicle ApplicationsJ2602-1_202510 (Current)10/01/2025
This document covers the requirements for SAE implementations based on ISO 17987:2016. Requirements stated in this document will provide a minimum standard level of performance to which all compatible ECUs and media shall be designed. This will assure full serial data communication among all connected devices regardless of supplier.The goal of SAE J2602-1 is to improve the interoperability and interchangeability of LIN devices within a network by adding additional requirements that are not present in ISO 17987:2016 (e.g., fault tolerant operation, network topology, etc.).The intended audience includes, but is not limited to, ECU suppliers, LIN controller suppliers, LIN transceiver suppliers, component release engineers, and vehicle system engineers.The term “master” has been replaced by “commander” and term “slave” with “responder” in the following sections.
Vehicle Architecture For Data Communications Standards
A Concept for Functional Modelling of an E-Bike Powertrain2024-32-001704/18/2025
The increasing popularity of e-bikes, especially pedelecs, has led to a growing interest in consideration of e-bike cycling. To achieve a deeper understanding on the process of e-bike cycling and in particular the effects on the rider it can be instrumental to use simulation methods. In this context, the e-bike drive system and its function are of central importance for e-bikes. Therefore, this work proposes a functional modeling of the powertrain of an e-bike with a mid-drive motor, considering legal constraints and support functionalities. The model incorporates the mechanical transmission between pedals, motor, and crank shaft, allowing for a detailed analysis of the e-bike’s performance. Additionally, the support mechanism is depicted, where an electric motor amplifies the rider’s pedaling torque. The electrical behavior of the motor, energy consumption, and battery state of charge are also integrated into the model. This comprehensive approach aims to provide a generic
Rauch, Yannick, Kettner, Maurice, Kriesten, Reiner
Predictive Battery Thermal Management System Control Strategy and Simulation in Electric Vehicle2025-01-502704/03/2025
With the global issue of fossil fuel scarcity and the greenhouse effect, interest in electric vehicles (EVs) has surged recently. At that stage, because of the constraints of the energy density and battery performance degradation in low-temperature conditions, the mileage of EVs has been criticized. To guarantee battery performance, a battery thermal management system (BTMS) is applied to ensure battery operates in a suitable temperature range. Currently, in the industry, a settled temperature interval is set as criteria of positive thermal management activation, which is robust but leads to energy waste. BTMS has a kilowatt-level power usage under high- and low-temperature environments. Optimizing the BTMS control strategy becomes a potential solution to reduce energy consumption and overcome mileage issues. An appropriate system simulation model provides an effective tool to evaluate different BTMS control strategies. In this study, a predictive BTMS control strategy, which adjusts
Huang, Zhipei, Chen, Jiangbo, Tang, Hai
AI in Motion Control: Optimizing Servo SystemsTBMG-5218612/01/2024
Cable Carriers Promote Efficiency in an Autonomous Hospitality RobotTBMG-5218712/01/2024
Since the COVID-19 pandemic that advanced contactless service, robots are increasingly being seen conducting routine deliveries around hospitals and hotels. Developed by Robotise Technologies, JEEVES is one such autonomous service robot used in hotels, healthcare facilities, offices, airports, and other settings. Its main duty is to transport materials and products.
GPS-BASED MOBILITY POWER ANALYSIS OF MILITARY VEHICLES2024-01-331111/15/2024
ABSTRACT Determining the required power for the tractive elements of off-road vehicles has always been a critical aspect of the design process for military vehicles. In recent years, military vehicles have been equipped with hybrid, diesel-electric drives to improve stealth capabilities. The electric motors that power the wheel or tracks require an accurate estimation of the power and duty cycle for a vehicle during certain operating conditions. To meet this demand, a GPS-based mobility power model was developed to predict the duty cycle and energy requirements of off-road vehicles. The dynamic vehicle parameters needed to estimate the forces developed during locomotion are determined from the GPS data, and these forces include the following: the gravitational, acceleration, motion resistance, aerodynamic drag, and drawbar forces. Initial application of the mobility power concept began when three U.S. military’s Stryker vehicles were equipped with GPS receivers while conducting a
Ayers, Paul, Bozdech, George
Assessing the Potential of CBG as an Alternative Fuel: An Experimental Study on Vehicle Performance and Emissions in BS VI Compliant Three-Wheeler and Passenger Car2024-26-007601/16/2024
India's natural gas consumption reached 60.3 billion cubic meters (BCM) in the year 2022-23, with imports accounting for 44.2% of the total consumption. As India targets 15% of primary energy consumption from gas by 2030, the demand for natural gas is expected to grow significantly. In this context, CBG, which can reduce dependence on imported natural gas, has emerged as a viable alternative to CNG. The government's SATAT (Sustainable Alternative Towards Affordable Transportation) initiative encourages entrepreneurs to establish CBG plants and supply CBG to Oil Marketing Companies (OMCs) for use as automotive and industrial fuels. As of April 2023, 47 CBG plants have been set up, and 117 retail outlets in India are selling CBG as a transportation fuel. The quality requirements of CBG are governed by IS 16087, aligning with the specifications for automotive CNG defined in IS 15958. To assess the impact of CBG on vehicle performance and emissions, an experimental study was conducted
P, Sakthivel, Mittal, Neeraj, sinha, Prabhakar, Sithananthan, M, Maheshwari, Mukul
Adaptive EV range estimation and optimisation based on rider demand and terrain requirements2024-26-009501/16/2024
This paper presents a model-based algorithm designed for electric vehicles to estimate, control, and optimize their range. By utilizing both short-term and long-term energy consumption data, the algorithm accurately predicts the range based on the current riding pattern. To achieve the desired range, the algorithm incorporates Hamilton-Jacobi-Bellman (HJB) optimization, which optimizes a cost function. The algorithm leverages short-term energy consumption patterns to smoothen the real-time watt-hour consumption for accurate range estimation. Simultaneously, it monitors long-term energy consumption patterns to account for factors such as vehicle aging, wear, terrain dynamics, and initial wh/km calculation. A comprehensive cost function, considering parameters like wh/km, rider demand, and terrain requirements, ensures optimal range without compromising the overall ride experience. The algorithm employs HJB optimization to dynamically control the range using parameters such as battery DC
RAJAWAT, SHIV PRATAP, Gautam, Ashish, SJ, Janarthanan, Soni, Lokesh, Khandekar, Piyush
Qualitative and Quantitative Correlation Study for Exterior Aerodynamics for Automotive Vehicle2024-26-026201/16/2024
The main objective of the external aerodynamic performance assessment of automotive vehicles is to reduce the aerodynamic drag, which improves overall energy consumption of the vehicle. Almost 40% of the energy is required to overcome the drag force offered by the air on the automotive vehicle. With the increase in high performance computing power (HPC) and its affordability, computational fluid dynamics (CFD) has become a popular and more effective tool for aerodynamic design and analysis in the automobile industry. In the real-world scenario, automotive vehicle is subjected to varying wind and operating conditions which affect its aerodynamic characteristics, and therefore it is difficult to reproduce such physical phenomenon in a conventional wind tunnel. Hence, the entire aerodynamic assessment was done in S2A wind tunnel which is equipped with advanced aerodynamic assessment techniques like wheel rotations, boundary layer suction, moving ground etc. The current work mainly focuses
Biswas, Kundan, Tare, Kedar, Chalipat, Sujit
Effect Analysis of Form Factor on Thermo-Electric Generator Performance2024-26-038601/16/2024
One of the major contributor for the climate change and global warming is the residual thermal energy generated from automobiles as exhaust gases in IC engine powered vehicles and batteries and fuel cell heating in green vehicles. This waste heat or the thermal energy can be converted into useful electric energy using the thermos-electric generator (TEG). TEGs are devices that can generate electricity directly from temperature difference between two surfaces. They are manufactured using semiconductor materials that exhibit Seebeck effect, generating voltage due to temperature gradient across it terminals. These devices are compact, stable and more reliable electric power generators. The main setback of TEG is its low efficiency compared to other power generators. In this paper, form factor of TEG is studied in detail with its effect on figure of merit, for commercial vehicle applications. In addition, bottlenecks in implementing these TEGs in series production is discussed.
Bali, Gaurav, Mutagi, Megha Dharnendra, PONANGI, BABU RAO
A Real-World Range Testing and Analysis Methodology Development for Battery Electric Vehicles2024-26-012401/16/2024
Range anxiety is one of the major factors to be dealt with for increasing penetration of EVs in current Automotive market. The major reasons for range anxiety for customers are sparse charging infrastructure availability, unreliable range prediction and uncertain real-world range values. The uncertainty in real world range is due to the variation between the testing condition during vehicle development and real-world customer usage condition. This paper illustrates a more accurate test methodology development to derive the real-world range in electric vehicles (LMV) with experimental validation and system level analysis. The test methodology developed will be replicating the real-world usage scenario and bridge the gap between testing and Indian customer usage condition. Test conditions are developed based on matrix consisting of different routes, drive modes, Regeneration levels, customer drive behavior, time of drive, locations, ambient conditions etc. Based on the real world
B, SAKTHIVEL, Shams, Tausif, Lalasure, Santosh, Karnure, Shabbir Lalaso, Rajakumar, K., Omprasad, Karthick
Automation of PID Calibration for Close Loop Control System in an Electric Vehicle to Achieve Objective Driveability Performance2024-26-033201/16/2024
This paper introduces a novel approach to automate PID calibration for closed-loop control systems and the creep control function in an electric vehicle. Through a comprehensive literature survey, it is found that this method is the first of its kind to be applied in the field of automated electric vehicle calibration for Creep function. The proposed approach utilizes a systematic methodology that automatically tunes the PID parameters based on predefined performance criteria, including energy consumption and jerk. To implement this methodology, the ETAS INCA FLOW software, which provides guided calibration methods for in-vehicle testing & calibration, is employed. The calibration process is performed on a real-time electric vehicle platform to validate the effectiveness of the proposed approach. The results of this study showcases the advantages of automated PID calibration for closed-loop control systems and creep control function in small commercial electric vehicle. The proposed
G, Ashwin, Jadhav, Vaibhav V., Warule, Prasad B.
Study on Range Improvement Controls and Method for Electric Vehicles2024-26-013201/16/2024
Electric Vehicles are rapidly growing in the market yet various failure incidents were noted all along the globe. On the other hand, range anxiety has greatly inspired manufacturers to explore new practices to improve. One of the most important components of an EV is the battery, which converts chemical energy to electrical energy thereby liberating heat energy as the loss. This heat loss when high, capability of system to deliver required energy to wheels is reduced significantly. With a higher heat loss in the battery, system is prone to failure or reduced mileage. Therefore, controlling/maintaining system temperature under safe usable zone even during harsh conditions is ideal. Simple reduction in energy consumption of electrical cooling/heating devices used with regenerative energy techniques can greatly help in range improvement. The intention of this paper is to explore easy methods to improve electric vehicle range in different ambient conditions. Few of the key benefactors here
MR, Vikram, Pattalwar, Ashutosh, Verma, Mrinal, Bawa, Vikas
Comparison of Different Energy Carrier’s WTW Emission Factors and Their Role For Meeting Net Zero Climate Targets Aligned With Science Based Target Initiatives – An Extension For India Market2024-26-007701/16/2024
Global climate change is a threat and limiting global temperatures to 1.5 ⁰C is a challenge which is known to everyone. However, it is possible to avoid the worst consequences by taking scientifically defined paths. Science Based Target (SBT) is one such joint initiatives which provide companies with clearly defined path to reduce emissions in line with Paris agreement. In Europe collaboration of European Commission’s Joint Research Centre (JRC), OEMs and Refineries have come forward to understand the impact of different energy carriers on energy usage and CO2 emissions on WTW (Well-to-Wheel) basis. Outcome of such a study would result in emission factors (gCO2eq/unit fuel or energy consumed) for various energy carriers. This activity outcome when coupled with strong understanding on specific country’s future potential and roadmap in alternate fuels or energy carriers and together with presence of strong data analytics capabilities of OEM to track their sold products usage in
Dev, Subhanker, Johansson, Monica
Methodology for calculating use-phase emissions for eMobility subsystem products2024-26-009401/16/2024
eMobility is a well-recognized de-carbonization lever that is expected to capture about 7% of road vehicle fleet by 2030. To accurately estimate its contribution to decarbonization, Life Cycle Assessment (LCA) is imperative as it quantifies potential environmental impacts across a product’s life from cradle to grave. For eMobility products involved in energy transformation, the use-phase is predominant among the various lifecycle phases. However, existing global methods for calculating use phase emissions, such as Green House Gas (GHG) Protocol, still have ambiguities in its practical application. This paper attempts to bridge that gap and present a framework for calculating product use-phase emissions from components in a typical Battery Electric Vehicle. The use-phase emissions comprise of direct emissions (product's actual energy consumption and energy losses) and indirect emissions (mass-induced emissions). The direct emissions are calculated by segmenting the product functions
Singh, Mayank Kumar, Sharma, Sumit, Pavnaskar, Vishwesh, Chakravarty, Bithika, SURASE, NILESH
Enhanced impeller blade design for water coolant pump in IC engines2024-26-003401/16/2024
Enhanced impeller blade design for water coolant pump in IC engines Sudeshna Roy Pratihar, Amol Barve, Onkar Mokashi, Naveen Patil Mercedes-Benz Research & Development India Private Ltd, India. Keywords: Turbulence; hydraulic efficiency; friction loss; computational fluid dynamics; tubercles Abstract: This paper illustrates scope for improvement in water pump hydraulic efficiency by proposing novel design of impeller blade for internal combustion engine. For water pump, hydraulic efficiency is directly proportional to fluid drag imposed on impeller blades. Friction loss & turbulence during typical operating conditions needs to considered, by keeping in mind optimum performance of water pump. Increase in drag losses results in higher power consumption of water pump. Considerable literature study indicates that, tubercles design in area of IC Engines more precisely in topics relevant to water pump design has never tested for Automotive application. Extensive analytical calculation
Barve, Amol, Roy Pratihar, Sudeshna, mokashi, Onkar, Patil, Naveen
A Traffic Microsimulation Based Study of an Electric Road System with Dynamic Wireless Power Transfer2024-26-010201/16/2024
Electrification of road transport is a critical step towards establishment of a sustainable transport ecosystem. However, a major hindrance to electric mobility is the high cost and weight of the battery pack. Downsizing the battery pack will not only address these issues, but will also reduce embedded emissions due to battery manufacturing. One approach towards reducing battery pack size and still offering the user of electric vehicles similar mobility experiences as in case of conventional vehicles is to set up extensive network of charging or battery swapping stations. Another approach is to provide the vehicle with required energy while it is on the move. However, conventional systems such as overhead line or conducting rails have several disadvantages in the urban environment. One solution that has come up in this regard in recent times is the concept of Electric Roads System (ERS), which involves dynamic wireless power transfer (DWPT) to the vehicles from power transmitters
Sardar, Arghya, Prasad, Mukti
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