Browse Topic: Energy conservation

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AI Smart Timer-Based Power Control and Energy Monitoring System for Home Appliances2026-28-0060To be published on 02/12/2026
This paper presents an intelligent home automation system that combines timer-based power control, real-time energy monitoring, and cloud-based AI analytics for individual appliances. The system is built using a Wi-Fi-enabled embedded controller connected to sensing circuits that measure voltage, current, and power consumption. Electromechanical relays are used to control appliance power based on user-defined timers. Users can configure either a fixed runtime or a scheduled cutoff, enabling automated energy-saving without manual input. Alongside local control, the system collects energy consumption data and transmits it to a cloud platform for storage and analysis. A dedicated mobile or web app provides live monitoring, device status, and remote control access. A major innovation is the integration of a cloud-based AI engine that processes historical and real-time data to offer predictive insights. The AI module forecasts energy use, detects anomalies, classifies appliances by behavior
D, Anitha, D, Suchitra, Jain, Utsav, MAITY, SOUVIK, Dinda, Atish
Design evolution of novel rear sub frame structure for multilink suspension and electric vehicle platform2026-28-0007To be published on 02/12/2026
As there is a major shift in customer demand for energy efficient transportation electric vehicle development has taken immediate significance worldwide as they provide pollution free, noise free mobility environment. In the current work, the authors evaluate novel Rear sub-frame assembly structure with multilink suspension and further for a born electric vehicle platform with increased rear axle weight contribution due to rear motor and battery weight. The Sub Frame is the important structural component of the chassis system. Hence designers face the challenge of providing a best-in-class optimized Rear sub-Frame in terms of cost and weight within the available vehicular boundary. Rear sub-Frame assembly is designed with unique cross member structure and novel motor mounting arrangement on the side member with the given complex hard points or attachments of the suspension linkages, to meet the electric vehicle packaging requirement. Sub frame is designed with light weight to withstand
Nidasosi, Basavraj Maruti, J, Ramkumar, NAYAK, Bhargav, MANI, ARUN, M, Sudhan
Enhanced Solar Desalination Using Natural Dolomite-Integrated PCM and MWCN Thermal Storage: An Experimental Study2026-28-0082To be published on 02/12/2026
Systems for solar desalination provide a practical and environmentally friendly way to turn salty or polluted water into drinkable water. Three configurations are experimentally investigated in this study: a traditional solar desalination system, a system integrated with a thermal energy storage unit (TESU) based on phase change material (PCM), Multi wall Carbon nano particle were mixed with PCM at 1% of total volume of the PCM and a system that incorporates powdered natural dolomite into the PCM-based TESU. Each of the four configurations was created, tested simultaneously, and thoroughly examined. In comparison to the traditional system, the experimental findings showed that the adoption of PCM-based TESUs increased daily cumulative water output by 11.41%, 14.8% with addition of MWCNT and the addition of dolomite powder further increased productivity by 18.60%. Furthermore, the energy efficiency increased by16.1% with PCM, PCM with MWCNT is increased by 17.43% and 18.18% with the
R L, Krupakaran, Petla, Ratnakamala, Anchupogu, Praveen, P, Umamaheswarrao, SATYA MEHER, R, Dunna PhD, Vijay
Development of Plug-in Hybrid Motorbike and Analysis towards Sustainable Urban Mobility2026-28-0111To be published on 02/12/2026
The transportation system is one major catalyst to urban ecological imbalance. In developing countries, two-wheelers are considered a major mode of urban personal transportation because of their compactness, easy maneuver in heavy traffic and good fuel efficiency. In India, middle and lower middle-class people prefer to choose two wheelers and these vehicles are dominantly fueled by gasoline. Although, the energy consumption by a two-wheeler is comparatively less than that of a four-wheeler, they use about 60% of the nation's petroleum for on-road vehicles and the impact on urban air quality and climatic change is significantly high. This high proportion of gasoline utilization and emission contribution by two wheelers in cities demand greater attention as a way to improve urban air quality and near-term energy sustainability. Electrification of two-wheelers through the application of a plug-in hybrid idea is a promising solution. A plug-in hybrid motorbike was developed by putting
Kannan, Prashanth, Shaik, Amjad, Talluri, Srinivasa Rao
Multi-Objective Optimization of WAAM for Sustainable Production of Automotive-Grade Components2026-28-0030To be published on 02/12/2026
Wire Arc Additive Manufacturing (WAAM) has emerged as a promising technology for fabricating large-scale metal components with reduced material waste and lead time, aligning with the goals of sustainable manufacturing. This study presents a multi-objective optimization approach for WAAM to enhance both the manufacturing efficiency and sustainability of automotive-grade components. Key process parameters such as travel speed, wire feed rate, and current were systematically varied to evaluate their impact on dimensional accuracy, mechanical performance, and energy consumption. A statistical design of experiments framework was employed, and multiple performance objectives were optimized simultaneously using suitable decision-making techniques. The results demonstrate that optimized WAAM settings not only meet structural and functional requirements for automotive applications but also contribute to material and energy savings. This approach supports the integration of sustainability into
Pasupuleti, Thejasree
Enhancing Range Prediction Accuracy for the BEV: Bridging the Gap Between Simulation and Real-World Testing2026-26-0521To be published on 01/16/2026
Accurate range estimation in battery electric vehicles (BEVs) is essential for optimizing performance, energy efficiency, and customer expectations. This study investigates the discrepancies between physical test data and simulation predictions for the Jeep Wagoneer model. A detailed range delta analysis identifies key contributors to the observed deviations, including regenerative braking inefficiencies, increased propulsion demand, auxiliary loads, and estimated drivetrain losses within the Electric Drive Module (EDM) during traction and regen. Results indicate that the test vehicle exhibits lower regenerative braking efficiency and higher traction and lower regen consumption than predicted by simulations, primarily due to EDM inefficiencies and friction brake usage during regeneration. The study underscores the importance of refining simulation methodologies by integrating real-world, test based EDM loss maps to improve accuracy and better align predictive models with actual vehicle
Mahajan, Prasad, Kesarkar, Sidhesh, Ali, Shoaib
Driving behavior modelling with Graph Attention Networks using spatial data2026-26-0661To be published on 01/16/2026
In automotive engineering, understanding driving behavior is crucial for decision on specifications of future system designs. This study introduces an innovative approach to modeling driving behavior using Graph Attention Networks (GATs). By leveraging spatial relationships encoded in H3 indices, we construct a graph-based model that captures dependencies between various vehicle operational parameters and their operational regions using H3 indices. The model utilizes CAN signal features such as speed, fuel efficiency, engine temperature, and categorical identifiers of vehicle type and sub-type. Additionally, regional indices are incorporated to enrich the contextual information. The GAT model processes these heterogeneous features, learning to identify patterns indicative of driving behavior. This approach offers several significant advantages. Firstly, it enhances the accuracy of driving behavior modeling by effectively capturing the complex spatial and operational dependencies
Salunke, Omkar
Exploring advanced additive chemistry for achieving fuel economy in passenger car motor oils2026-26-0529To be published on 01/16/2026
Original Equipment Manufacturers (OEM’s) are focusing towards fuel economy of passenger cars to meet the next generation emission norms. Few techniques such as downsizing of engines, raising lubricant temperature, reducing combustion time and regulating the start-stop system of engines are various efforts being considered by Automobile OEMs to attain fuel efficiency along with next generation emission norms. On the other hand, lubricants used for such engines are also to be modified accordingly to meet more fuel efficiency. Lowering viscosity along with addition of friction modifiers for normalizing frictional losses is widely practiced as the most economical techniques. To achieve this lubricant formulator and additive manufacturers have moved towards modern base oils and advanced additive technologies. This study is done to understand key parameters which reduce friction and increase fuel economy using same viscosity grade oils. In the current study, we have formulated different low
Vabbina, Shiv Kumar, Katta, Lakshmi, Joshi, Ratnadeep, Chaudhary, Rameshwar, Seth, Sarita, Bhardwaj, Anil, Arora, Ajay Kumar
Accelerating EV Thermal Controls Development: A Rapid controls prototyping framework using Speedgoat2026-26-0685To be published on 01/16/2026
In the era of software-defined vehicles, the complexity and requirements of automotive systems have increased significantly. Thermal management systems have become more complicated, incorporating multiple functions and strategies within software frameworks. This shift poses substantial challenges, increased development efforts and extending timelines in creating an efficient thermal management system for EVs. Fulfilling them in the early stages of design makes it more challenging due to the unavailability of key components such as fully developed ECU hardware, the battery pack, and the motor. To address this, a novel framework has been designed that combines virtual simulation with physical emulation, enabling the testing and validation of thermal control strategies without fully matured system and ECU hardware. The framework uses the Speedgoat platform as the central controller which hosts the control and thermal models developed in Simulink and Simscape. Speedgoat is physically
Chothave, Abhijeet, S, Bharathan, S, Ananth, Gangwar, Adarsh, Khan, Parvej, Gummadi, Gopakishore, Kumar, Dipesh
Experimental approach to investigate VVT malfunction in SI gasoline engine.2026-26-0558To be published on 01/16/2026
Variable Valve Timing (VVT) is an advanced technology implemented in internal combustion engines to optimize the opening and closing timing of the intake and exhaust valves. Its primary objective is to improve engine performance, fuel efficiency, and reduce emissions by dynamically adjusting the valve timing based on the engine's operating conditions i.e. engine speed and load conditions. However, the VVT system may experience various operational issues caused due to low engine oil levels, contaminated engine oil, solenoid malfunctions, and camshaft phaser issues, which can adversely affect engine performance, fuel efficiency, and emissions. This paper provides an in-depth analysis of VVT malfunctions, specifically attributed to the resonance effect of VVT components at various engine RPMs & oil temperature. The study also explains the phenomenon causing VVT sluggishness during advance phase due to resonance between oil pulsation & VVT components. Other factors contributing to VVT
Jha, Ankur, Sau, Sanjoy, Kumar, Bharat, Sandeep, Sandeep
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
Bavrisetti, Sai Sampath Kumar, Chothave, Abhijeet, Gummadi, Gopakishore, Khan, Parvej, Thiyagarajan, Rajesh, Raju, Kumar, A Sr, Mahesh
Structural analysis and Design optimization of Cylinder Head of Cummins Light duty Engine for Medium Wheelbase (MWB) pick-up truck2026-26-0495To be published on 01/16/2026
This paper presents the design, structural analysis, and risk assessment done by Cummins to evaluate the structural integrity of Light Duty engine cylinder head for a Medium Wheelbase (MWB) pick-up truck. Initially, Cummins used F2.5L (4-cylinder) engine that has 154hp, but rising market demands for more power, fuel efficiency, lower cost and weight, and future emission compliance led to customer requirements for 177hp (Drive New F2.5L, 15% uprate) and 197hp+ (Drive New F3.0L, 22% uprate) from the same base engine. The increase in power requirement possesses challenges on critical components, especially cylinder heads in terms of thermal and structural limits. This paper addresses the challenges and risks in current cylinder head design driven by new power demands, specifically reduced fatigue margins in the water jacket area and increased temperatures on the combustion face under high thermomechanical loads. It explores the design modifications made to the cylinder head design to
Pathak, Arun Jyoti, Adiverekar, Vaidehi, Singh, Rahul, Biyani, Mayur
Optimization of the Rodip CED Process Suitability through Strategic Fixture System for Enhanced Hood Gap and Flushness Control in Automotive Manufacturing2026-26-0486To be published on 01/16/2026
The Ro-dip Cathodic Electrodeposition (CED) process is latest technology used by Automotive Manufacturers for higher quality corrosion protection in new generation Automobiles. This process involves multiple 360-degree rotation of automotive body in white (BIW) which exert higher hydrostatic forces on large surface panels like Hood. For maintaining consistent gaps & flushness control at vehicle level, it is important to safeguard the dimensional stability of light weight (crash performance sensitive) steel Hood panel while undergoing through this CED process. This study investigates the enhancement of hood panel alignment through strategic optimization of support rod placement and quantity within the Ro-dip CED system. By conducting experimental trials and computational simulations, the research identifies critical deformation points and evaluates the impact of varying support rod configurations on dimensional stability. The outcome results demonstrate that positioning support rods at
Tile, Vikrant, Unadkat, Siddharth, Askari, Hasan, Jadhav, Devidas
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
The selection of a two-speed gearbox for small commercial electric vehicles aims to optimize powertrain efficiency2026-26-0417To be published on 01/16/2026
In response to the significant environmental challenges posed by climate change driven by global warming, the automotive industry is accelerating the transition toward electrification. While electric vehicles offer considerable potential for mitigating CO₂ emissions, their elevated upfront costs pose a notable challenge to large-scale market penetration. Energy efficiency improvement of electric vehicles is emerging field of research to reduce total cost of ownership. Electric vehicle powertrain component selection in small commercial vehicles including three and four wheelers is a complex process which has to fulfil multiple requirements Range, performance, drivability, packaging, total cost of ownership of vehicle and comfort. In addition, powertrain configuration including battery, motor and transmission ratio selection plays a fundamental role in cost of electric vehicle. Hence, The task of selecting the right powertrain configuration, encompassing architecture, motor selection
Wani, Kalpesh, Jadhav, Vaibhav, Shendge, Raman, Warule, Prasad
Exploring the Influence of Wheel Rim Width on Tire Performance through rig testing and Vehicle-level Evaluation: A Comprehensive study2026-26-0603To be published on 01/16/2026
With increasing challenges for optimizing vehicle ride and handling performance along with efficiency, the synergy between major systems such as suspension, chassis, brakes & tires has been investigated in the past. In this regard, the interaction between wheel rim width and tire performance characteristics has become a topic of interest. Extensive research is being conducted in the automotive industry to understand their key interaction dynamics and make appropriate design selections. This study aims to provide a comprehensive analysis of how variations in wheel rim width affect key tire performance parameters such as lateral force characteristics ,damping property, tire footprint, and pinch cut resistance. Also, the subsequent influence on vehicle-level performance parameters such as braking, ride & handling, steering, and durability is captured. Through rig level testing and full-vehicle evaluation data, several key observations have emerged. Firstly, it was observed that narrower
Singh, Ram Krishnan, Paua, Ketan, Sundaramoorthy, Ragasruoban, Lenka, Visweswara, ahire, Manoj, Adiga, Ganesh N
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
Evaluation of Waste Heat Recovery technology in FCEV on different drive-cycles2026-26-0259To be published on 01/16/2026
Growing global warming and the associated climate change have expedited the need for adoption of carbon-neutral technologies. The transportation sector accounts for ~ 25 % of total carbon emissions. Hydrogen (H2) is widely explored as an alternative for decarbonizing the transport sector. The application of H2 through PEM Fuel Cells is one of the options available for the trucking industry, due to their relatively higher efficiency (~50%) and power density. However, at present the cost of an FCEV truck is considerably higher than its diesel equivalent. Hence, new technologies either enabling cost reduction or efficiency improvement for FCEVs are imperative for their widespread adoption. FCEVs have a system efficiency in the range of 40-60% implying that around half of the input energy is lost to the atmosphere as waste heat. However, recapturing this significant amount of low-grade waste heat into useful work is a challenge. This paper discusses the feasibility of waste heat recovery
P V, Navaneeth
A Comparative Analysis of Passenger Car Fuel Economy between Laboratory and Real Driving Testing2026-26-0225To be published on 01/16/2026
In India, fuel economy is one of the most critical factors influencing a customer's decision to own a passenger car. Beyond consumer preference, fuel consumption also plays a significant role in the nation's energy security. Inline of this, the government promotes fuel-efficient vehicles and technologies through various regulations, policies, and mandates. Vehicle manufacturers, in response, focus on designing vehicles that align with both customer expectations and regulatory requirements. Fuel economy certification is typically based on standardized laboratory tests that simulate controlled environmental conditions, driving cycle (MIDC), vehicle load, and operation of electrical and electronic systems. However, actual on-road driving conditions by end user vary significantly due to factors such as traffic conditions, ambient temperature, air conditioning use, driving behaviour and variable loading of the vehicle. With implementation of Bharat Stage VI, Real Driving Emission (RDE
Singh, Abhay Pratap, Bathina, Revanth Kumar, Tijare, Shantanu
Thermal Management Control strategy for Primary & Secondary Drive Cooling Hybrid Electric Tractor2026-26-0069To be published on 01/16/2026
Global emission norms are getting very strict due to combat the harmful pollutants from internal combustion engine. Hence internal combustion engine (ICE)-based agricultural tractors need to introduce complex after-treatment systems and fuel optimization to provide same or higher value to farmers as cost of these systems drive the overall cost of the product. Engineers around the world are building Electric vehicles to combat the problem and has range issues due to design constraints & Hybrid tractors have emerged as a promising intermittent solution. It helps in combining the advantages of respective ICE and electrification solutions while reducing overall vehicle emissions and enhances operational flexibility. This paper presents a modular thermal modes system developed for a hybrid electric tractor platform where a downsized diesel engine operates at optimal efficiency DC generator used to charge the battery & DC converter is used to charge the auxiliary battery. Battery which is
K, Sunil, D, Mari, Natarajan, Saravanan, Kumawat, Deepak, rojamanikandan, Arumugham, K, Mala, V, Sridharan, Muniappan, Balakrishnan, Makana, Mohan
Predictive SoC Management for Enhanced Recuperation Efficiency in Electric Vehicles2026-26-0154To be published on 01/16/2026
In recent years, the automotive industry has been looking into alternatives for conventional vehicles to promote a sustainable transportation future having a lesser carbon footprint. Electric Vehicles (EV) are a promising choice as they produce zero tail pipe emissions. However, even with the demand for EVs increasing, the charging infrastructure is still a concern, which leads to range anxiety. This necessitates the judicious use of battery charge and reduce the energy wastage occurring at any point. In EVs, regenerative braking is an additional option which helps in recuperating the battery energy during vehicle deceleration. The amount of energy recuperated mainly depends on the current State of Charge (SoC) of the battery and the battery temperature. Typically, the amount of recuperable energy reduces as the current SoC moves closer to 100%. Once this limit is reached, the excess energy available for recuperation is discharged through the brake resistor/pads. This paper proposes a
Barik, Madhusmita, S, Sethuraman, Aruljothi, Sathishkumar
Multibody Dynamic Analysis of Belt-Type CVT Systems in Two-Wheelers: A Study on Slip, Misalignment, and Transmission Efficiency2026-26-0079To be published on 01/16/2026
More efficient drivetrain technologies are in greater demand in the two-wheeler market as a result of the introduction of BS6.2 emission standards. In order to satisfy these performance and regulatory requirements, Continuously Variable Transmission (CVT) systems—which are renowned for their stepless gear shifting and increased fuel efficiency—are being given more and more consideration. However, because CVT is nonlinear and multibody dynamic, accurately predicting its behavior is still a difficult task. With an emphasis on variables like belt slip, pulley misalignment, and transmission efficiency, this study provides a thorough multibody dynamic analysis of a belt-type CVT system used in two-wheelers. High-fidelity analysis of the belt-pulley interaction under various load and speed conditions is now possible thanks to the development of a novel modeling methodology using advanced multibody dynamics simulation software – Virtual Dynamics. The method makes early design validation
Shah, Swapnil, Mane, Prashant, Voncken, Antonius, Emran, Ashraf
Review of Comprehensive Evaluation and Comparative Analysis of Approaches for Capturing Atmospheric CO₂ and Converting It into Sustainable eFuels.2026-26-0115To be published on 01/16/2026
As atmospheric CO₂ concentrations continue to rise at unprecedented rates, the urgent need for breakthrough technologies that can efficiently capture carbon directly from the air and convert it into sustainable synthetic fuels has never been clearer. While numerous capture and conversion methods have been propose, many remain at an early stage of development, facing significant challenges such as low energy efficiency, limited scalability, and high operational costs. This lack of technological maturity underscores a vast, largely untapped potential for innovation and transformative advancement. In response to this gap, the present study compiles and critically examines a wide spectrum of emerging capture and conversion technologies. Through a detailed exploration of their functionalities, potentials, advantages, and challenges, the paper accumulates a comprehensive and well-informed dataset. This holistic understanding not only reveals key bottlenecks but also identifies promising
Jain, Gaurav, Premlal, P, Pathak, Rahul, Gore, Pandurang
Hybrid Topology Selection & Optimization of a Compact SUV to Meet Future CO2 Norms - an Indian Case Study2026-26-0077To be published on 01/16/2026
Rising environmental concerns and stringent emissions norms are pushing automakers to adopt more sustainable technologies. There is no single perfect solution for any market and there are solutions ranging from biofuels, green hydrogen to electric vehicles. For Indian market, especially in the passenger car segment, hybrid vehicles are favoured when it comes to manufacturers as well as with consumer because of multiple reasons such as reliability, performance, fuel efficiency and lower long-term cost of ownership. For automakers planning to upgrade their fleets in the context of upcoming CAFE III (91.7 g CO2 / km) & CAFE IV (70 g CO2 / km) norms, hybridization emerges as the next natural step for passenger cars. Lately, various state governments have also promoted hybrid vehicle sales by offering certain targeted tax breaks which were previously reserved for EVs exclusively. Current study focuses on various parallel hybrid topologies for an Indian compact SUV, which is the highest
Warkhede, Pawan, Keizer, Ruben, Sandhu, Rouble, Emran, Ashraf
Revolutionary EV Motors Innovation in E-mobility in Depth Analysis of Emerging Technologies, Comparative Insights & Their Ground Breaking Impact on Electric Vehicle Performance2026-26-0073To be published on 01/16/2026
This paper delivers a forward-looking data-driven assessment of the transformative innovation in electric vehicle motor systems with targeting breakthroughs in the power density, energy efficiency, thermal robustness, manufacturability & better intelligent control. A rigorous Multi Criteria Decision Making (MCDM) framework is done to systematically evaluate and defining the rank of emerging motor technologies across eight weighted performance indicators. The findings reveal that which design strategies & material advancements offering the greatest potential for redefine propulsion performance that enabling lighter more compact & more efficient drivetrain capable of sustained high power operation. High ranking solution exhibit strong alignment with the industry's push toward scalable, low cost & rare earth-independent systems while other are identified as high risk/high reward pathway requiring targeted research to overcome critical problems. By integrating engineering performance
Jain, Gaurav, Premlal, P, Pathak, Rahul, Gore, Pandurang
Auto Braking system for preventing commercial vehicle overloading.2026-26-0032To be published on 01/16/2026
Overloading in commercial vehicles is a widespread issue that creates serious safety, operational, and regulatory concerns. Excessive loads can result in mechanical breakdowns, diminished braking performance, accelerated tire wear, and a higher likelihood of accidents, posing risks to drivers and other road users. Moreover, overloading accelerates road deterioration and increases infrastructure maintenance costs. To tackle this pressing problem, this study introduces a novel integrated system that merges advanced load-sensing technology with the vehicle's braking system. The system utilizes high-precision sensors placed at key locations, such as the suspension or axle, to monitor the vehicle's load in real time. These sensors send data to a central control unit, which triggers the braking mechanism if the load surpasses a predetermined safety limit. Importantly, the braking system activates only when the vehicle is stationary, ensuring it does not disrupt normal driving operations. The
Raj, Amritesh, Pujari, Sachin, Londhe, Mahesh, Shirke, Sumeet, Shinde, Akshay
First in the Industry 8.5 Ton GVW on Four Tyre Truck with 245/90R16 Tyre – A Global First2026-26-0602To be published on 01/16/2026
This project introduced a brand-new tire size—245/90R16—for the first time globally in the 16-inch tube-type category, designed specifically for commercial vehicles with Vehicles 8.5T -14T gross vehicle weight (GVW). The main goal was to create a compact vehicle that can carry more payload, reduce overall weight, and improve fuel efficiency with use of rear single tyre instead of twin tyre in 8.5T. This helps customers lower their operating costs and improve vehicle performance, especially on narrow roads. The new tire supports high load capacities: up to 2300 kg for single tire use and 2180 kg for dual tire fitment. It enables a new type of vehicle to be developed—an 8.5-ton GVW vehicle with rear single tires—offering better payload capacity without increasing the size of the vehicle. By using this new tire, the kerb weight of the vehicle is reduced, which increases the payload and helps improve fuel economy. It also helps lower the cost of the vehicle by allowing the use of lighter
Pawar, Dhondiram Dnyandeo, Shaikh, Matin, Ambekar, Prasad
Evaluation of Intercooler Effectiveness with No Fan, Single Fan, and Dual Fan: A Simulation and Experimental Study2026-26-0579To be published on 01/16/2026
Turbochargers play a crucial role in modern engines by increasing power output and fuel efficiency through intake air compression, thereby improving volumetric efficiency by allowing more air mass into the combustion chamber. However, this process also raises the intake air temperature, which can reduce charge density, lead to detonation, and create emissions challenges-such as smoke limits in diesel engines and knock in gasoline spark-ignited (GSL) engines. To mitigate this, intercoolers are used to cool the compressed air. Due to packaging constraints, intercoolers are typically long and boxy, limiting their effectiveness, especially at low vehicle speeds where ram air flow is minimal. This study investigates the use of auxiliary fans to enhance intercooler performance. Two methodologies were adopted: 1D simulation using GT-Suite and experimental testing on a vehicle under different fan configurations-no fan, single fan, and dual fans (positioned near the intercooler inlet and outlet
Patra, Somnath, Hibare, Nikhil, Ganesan, Thanigaivel, Gharte, Jignesh Rajendra
Optimizing Busbar Design by Investigating Critical Parameters and Their Influence on Electrical and Thermal Behaviors for Reliable Electric Vehicle Battery Packs.2026-26-0474To be published on 01/16/2026
With the rise of EVs, researchers are focusing on optimizing busbar design to meet the demands of high energy density, fast charging, and compact battery packs. The busbar design starts with selecting the cross-sectional area based on current-carrying capacity and material type. The width matches or exceeds the battery cell terminal size, while the length is optimized based on space constraints. The research also highlights the risk of busbars to oxidation and corrosion, which increases resistance and decreases thermal conductivity for which Plating and coating techniques are applied to improve surface hardness, durability, and thermal conductivity while minimizing heat loss. Using simulations and experimental validation, the study examines three key design parameters: weld diameter, electrical resistance, and contact resistance. A detailed analysis investigates how weld diameter influences electrical resistance and temperature rise, as well as the impact of contact resistance between
Nogdhe, Yogesh, Singh, Shobit Kumar, Paul, Jibin, Mishra, Mukesh, Menon, Praveen
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
Digital Twin-Enhanced Chassis Dynamometer for EV Drivetrain Testing2026-26-0363To be published on 01/16/2026
Accurate prediction of drivetrain performance and energy efficiency in electric vehicles (EVs) remains a challenge due to the limitations of conventional chassis dynamometer testing, which often overlooks dynamic vehicle-roller interactions, suspension responses, and regenerative braking effects. This paper presents a novel digital twin-enabled testing framework using a compact, two-roller chassis dynamometer integrated with real-time multibody dynamics and electromechanical co-simulation. The physical test bench is coupled with a virtual model of the EV, including suspension geometry, rear-to-front axle load distribution, tire–roller contact mechanics, and motor-inverter dynamics. By enabling bi-directional data exchange between the physical and virtual domains, the system emulates real-world load shifts, torque demand variations, and energy recovery under standardized drive cycles. This integrated approach enhances simulation fidelity, supports certification-compliant testing, and
Kumar, Akhilesh, V, Yashvati
Advanced Thermal Management for High-Tonnage EVs: Increasing Coolant Flow and Reducing Energy Losses2026-26-0196To be published on 01/16/2026
With the increasing tonnage of electric heavy commercial vehicles, there is a growing demand for higher power and torque-rated traction motors. As motor ratings increase, efficient cooling of the EV powertrain system becomes critical to maintaining optimal performance. Higher heat loads from traction motors and inverters pose significant challenges, necessitating an innovative cooling strategy to enhance system efficiency, sustainability, and reliability. Battery-electric heavy commercial vehicles face substantial cooling challenges due to the high-pressure drop characteristics of conventional traction system cooling architectures. These limitations restrict coolant flow through key powertrain components and the radiator, reducing heat dissipation efficiency and constraining the operating ambient temperature range. Inefficient cooling also leads to increased energy consumption, impacting the overall sustainability of electric mobility solutions. This paper presents a novel approach to
Dixit, Sameer, Patil, Bhushan, Ghosh, Sandeep
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, Joshi, Priyanka, Sundaram, Pavithra, Sameer, Kamat, Singh, Ruby, Arvind, Kumaran, T, Senthil Kumar
A strategic approach to the selection of switchgear and busbars for EV battery packs2026-26-0165To be published on 01/16/2026
With the rising adoption of electric vehicles (EVs), the need for robust and efficient power distribution systems has become increasingly important. This paper outlines a strategic method for selecting switchgear and busbars in EV battery packs, emphasizing key factors such as safety, energy efficiency, thermal control, and future scalability. Proper optimization of these components can significantly improve performance, minimize power losses, and ensure durability under demanding operating conditions. The design and selection of battery conducting components, such as switchgears and busbars, are typically based on the maximum continuous and peak current capabilities of the EV battery pack. While this approach ensures that the components can withstand extreme conditions, it often leads to over-engineering, resulting in unnecessary costs and added weight. However, this method overlooks the dynamic power demands of the vehicle, which fluctuate based on driving conditions and usage. Real
Soman, Anu, satheesh, Goutham, K, Mathankumar
Combustion noise quality improvement in a common rail Diesel Engine at Low idle for Agriculture Tractor2026-26-0329To be published on 01/16/2026
Vehicle level NVH performance plays major role in customer comfort criteria. Tractor low idle rpm Sound Quality can be one of the parameter which influences customer purchasing decision based on comfort criteria. Modern diesel engines with stringent emission norms together with fuel economy requirements pose challenges to noise control. Common rail engine technology has advantage of precise fuel delivery and combustion control which needs optimization to achieve the conflicting requirements of noise, emission and fuel efficiency. Engine noise at low idle condition is dominated by combustion noise which depends on rate of pressure rise inside the cylinder during combustion. The important parameters which influence cylinder pressure rise are fuel injection timing, pilot injection quantity and its separation, rail pressure and EGR valve position. The study is carried out to understand which combustion parameter is most influencing to achieve better sound quality of engine. Taguchi design
P, Priyadarshan, Chavan, Amit, A, Kannanswamy, Patil, Sandeep, Chaudhari, Vishal V
Effect of the Flow Forming Process on the Mechanical properties and Microstructure of GDC & LPDC cast aluminum alloy wheels.2026-26-0298To be published on 01/16/2026
Aluminum alloy wheels have become the preferred choice over steel wheels due to their lightweight nature, enhanced aesthetics, and contribution to improved fuel efficiency. Traditionally, these wheels are manufactured using methods such as Gravity Die Casting (GDC) [1] or Low Pressure Die Casting (LPDC) [2]. As vehicle dynamics engineers continue to increase tire sizes to optimize handling performance, the corresponding increase in wheel rim size and weight poses a challenge for maintaining low unsprung mass, which is critical for ride quality. To address this, weight reduction has become a priority. Flow forming [3,4], an advanced wheel production technique, offers a solution for reducing rim weight. This process employs high-pressure rollers to shape a metal disc into a wheel, specifically deforming the rim section while leaving the spoke and hub regions unaffected. By decreasing rim thickness, flow forming not only reduces overall wheel weight but also enhances strength and
Singh, Ram Krishnan, Medaboyina, HarshaVardhan, G K, Balaji, Gopalan, Vijaysankar, Sundaram, Raghupathi, Paua, Ketan
Numerical study of a hydrogen ejector with regulated inlet for extended PEMFC operating range in automotive application2026-26-0249To be published on 01/16/2026
Hydrogen recirculation is a key requirement for enhancing fuel efficiency and anode stability in Proton Exchange Membrane Fuel Cell (PEMFC) systems, particularly in automotive applications. Effective hydrogen recirculation is critical for maintaining high efficiency and fuel utilization. A hydrogen recirculation ejector equipped with a regulated pressure inlet, aimed at eliminating the need for mechanical pumps while maintaining optimal hydrogen utilization. The passive operation of the ejector eliminating the need for rotary components which significantly improves system reliability and reduces failure modes commonly associated with moving parts. This work presents a numerical investigation of a hydrogen recirculation ejector featuring a regulated pressure inlet, with the objective of extending its operating range across varying fuel cell power levels. A combination of 1D system-level modelling and 2D multi-species Computational Fluid Dynamics (CFD) simulations was employed to
Khot, Ranjit Uttreshwar, T P, Muhammad, Chougule, Abhijeet, Achanur, Mallappa
Experimental evaluation of Energy and Exergy of Hydrogen, CNG and Gasoline fuelled High-Speed Spark Ignition Engine2026-26-0258To be published on 01/16/2026
HIGHLIGHTS The maximum power is recorded with Gasoline than CNG and Hydrogen fuel. The maximum exergy and energy efficiency is with Hydrogen, followed by CNG and then Gasoline. Hydrogen fuel has a maximum potential to convert into energy. The maximum energy destruction of 48.7kW for gasoline fuel at 3000 rpm and followed by CNG and hydrogen. The maximum entropy generation of 85.5 W/K with Gasoline and 60.72 W/K and 29.39W/K for CNG and hydrogen engine respectively at 10000 rpm. The entropy generation rate increase with engine speed. The highest rate of heat release is from hydrogen fuel, followed by Gasoline and CNG.   ABSTRACT- The analysis was performed on a single Cylinder, Multivalve, Electronic Fuel Injection, high-speed motor fuelled engine with Gasoline, CNG and Hydrogen to assess energetic and exegetic performance. The engine was evaluated from 3000 rpm to 10000 rpm on each of the three fuels. All tests are led at Wide Open Throttle condition.The Gasoline and CNG
Shinde, Apurwa Balasaheb, Kadam, Tushar, karunamurthy, K, SHINDE, DR BALU
A Novel Design of energy efficient 4x4 MIMO Antenna for 4G LTE-A and 5G IOT Communications2026-26-0371To be published on 01/16/2026
This paper presents the design and analysis of a low-profile monopole antenna with a Multiple-Input-Multiple Output (MIMO) configuration, optimized for requirements of modern wireless communication systems. The proposed antenna consists of staircase-like rectangular patches with a stub to enhance bandwidth. Printed on Rogers RT Duroid 5880 substrate, the antenna covers a compact size of 96 x 96 mm2, making it suitable for integration into space-constrained devices. Operating within the frequency range of 2.13-4.2 GHz, the proposed antenna achieves an Envelope Coefficient Correlation (ECC) below 0.015, Mean Effective Gain (MEG) of less than -3 dB, Diversity Gain upto 10 dB, and Channel Capacity Loss (CCL) below 0.12 bps/Hz, thus making antenna suitable for LTE-A and 5G-IoT communications.
Gupta, Parul, Prasad, Anjay
Migration from MIDC to WLTP in India: Challenges & Solutions for a Small Commercial Vehicle2026-26-0215To be published on 01/16/2026
In line with global peers (EU, Japan etc.), the Automotive Industry Standard (AIS) Committee in India has decided to adopt "World harmonized Light vehicle Test Procedure (WLTP)" for M and N category vehicles with GVW not exceeding 3500 kg. As a result, "World harmonized Light-duty vehicles Test Cycle (WLTC )" is set to replace currently applicable "Modified Indian Drive Cycle (MIDC)" in the next couple of years. The draft CAFE III & CAFE IV norms for CO2 emission limits, which are set to be implemented in 2027 and 2032 respectively refer to a shift to WLTP from MIDC. This migration to WLTP is in sync with the demand for test procedures to replicate real driving conditions more appropriately. Further, with the Indian automotive sector growing at a robust CAGR of ~9%, the move to WLTP along with stricter emission norms is going to help the government take a major step towards India's COP26 pledge to achieve net zero emissions by 2070. WLTC cycle being much more dynamic with higher
Pawar, Bhushan, Ehrly, Markus, Sandhu, Rouble, Emran, Ashraf, Berry, Sushil
Design & analysis of Dual Mass flywheel during Engine startup condition in 3 Cylinder Gasoline application2026-26-0349To be published on 01/16/2026
Modern automotive powertrains are increasingly adopting engine downsizing and down speeding to meet stringent emission regulations and improving fuel efficiency However, these changes result in higher torsional vibrations and excitation amplitudes makes more challenge in NVH (Noise, Vibration, and Harshness) refinement. With growing customer expectations for premium driving experiences conventional clutch are no longer sufficient. To meet the NVH performance targets of the vehicle Dual Mass Flywheels (DMFs) are used In DMF due to lower stiffness and inertia separation there is a great advantage on torsional filtration in normal drive and idle condition. but the resonance frequency of the connected DMF is lower than the idle RPM. Engine startup is a key drawback with DMF equipped vehicles. The proper tuning of starter motor performance & DMF stiffness is required to cross the resonance zone faster otherwise it will lead to DMF to stay in the resonance zone for a longer time leading to
Jayachandran, Suresh Kumar, Vijayaragavan, Thirupathi, M, Devamanalan, Kanagaraj, Pothiraj, Ahire, Manoj, Vellandi, Vikraman
Curvature-Continuous Trajectory Refinement for Autonomous Vehicles Using a Pure Pursuit Based Path Smoothing Framework2026-26-0135To be published on 01/16/2026
Path planning is a key element of autonomous vehicle navigation, allowing vehicles to calculate feasible paths in challenging environments. Algorithms such as Hybrid A*, Reeds-Shepp, and Dubins paths effectively generate collision-free paths but tend to create curvature discontinuities. These discontinuities result in sudden steering transitions, which create control instabilities, higher mechanical stress, and lower passenger comfort. To overcome these issues, this paper suggests a path-smoothing technique based on the pure-pursuit algorithm to produce curvature-continuous, distortion-free paths appropriate for real-world driving. This method utilizes the practical approach of the original path but removes sudden transitions that destabilize control. By ensuring smooth curvature, the vehicle undergoes fewer jerky steering actions, enhanced energy efficiency, less actuator wear, and improved high-speed tracking. Experimental verifications, such as real-time tests on autonomous vehicles
S, Shriniyathi, A, Josana, Edwin J, Joel, T, Akshayaa, M, Senthil Vel, Kumar, Vimal
NVH Refinement on the Agriculture Tractor using Coupled Test and Simulation Approach2026-26-0316To be published on 01/16/2026
The Indian farmers choice of agriculture tractor brand is driven by the ease of operation and fuel efficiency. However, the customer preference for operator comfort is driving many tractor OEMs for improvement in noise and vibration at the operator location. Also, the compliance to CMVR regulation for noise at operator ear location and vibration at driver touch point location are mandatory for all the tractors in India. NVH refinement development of the tractor plays a critical role in achieving the regulated noise level and improved tactile vibration In presented work, Noise Source Identification (NSI) is carried out to identify and rank airborne and structure borne noise sources at tractor level through elimination method followed by engine level testing in hemi anechoic chamber to identify the major noise radiating components by using noise and vibration measurement, sound intensity mapping tools. The outcome of NSI has revealed silencer, timing gear cover and oil sump to be highest
Gaikwad, Atul Annasaheb, Harishchandra Walke, Nagesh, Yadav, Prasad S, Bankar, Harshal
Wheel Corner Module Energy Losses and Potential Improvements2026-26-0096To be published on 01/16/2026
With the inevitable shift of automotive industry towards E-mobility and mandatory fuel efficiency targets, there is a need to evaluate the energy losses in the vehicle & identify potential areas of improvement. Energy losses are calculated for different components in the corner module system of a passenger car. Contribution of losses (Resistances) from respective component are depicted using simple analytical models. Potential energy saving improvements were identified and analyzed basis emerging technologies in respective areas.
Raghatate, Kumar Shreyas, Vedartham, Raghavendra, Khanger, Rakesh, Bisht, Arun
Mathematical Modeling and Genetic Algorithm-Based Energy Management in Hydrogen PEM Fuel Cell Electric Vehicles2026-26-0257To be published on 01/16/2026
Hydrogen fuel cell electric vehicles (FCEVs) present a promising solution to environmental challenges such as emissions, global warming, and fossil fuel depletion. By utilizing hydrogen as a clean energy source, FCEVs achieve zero tailpipe emissions while maintaining high efficiency and extended driving ranges. Their development focuses on optimizing fuel cell architecture, hydrogen storage systems, and advanced power management strategies to enhance energy conversion under varying operational conditions. This requires precise design, simulation, analysis, and system integration to improve performance, durability, and sustainability. This study develops a high-fidelity mathematical model of a hydrogen Proton Exchange Membrane (PEM) fuel cell vehicle and implements advanced Energy Management Strategies (EMS). Using the forward approach method, the model accounts for the physical constraints of the powerplant. Detailed fuel cell system modeling accurately represents voltage loss
Mulik, Rakesh Vilasrao, E, Porpatham, Senthilkumar, Arumugam
"Parametric Evaluation of Rolling Resistance in Bias & Radial Tyres and influence of key operational parameters under varying conditions."2026-26-0606To be published on 01/16/2026
Tyre rolling resistance is a fundamental parameter in automotive engineering, directly impacting vehicle fuel efficiency and overall performance. The Rolling Resistance Coefficient (CRR) is influenced by tyre construction, material properties, and operational conditions such as inflation pressure, vehicle speed, load, ambient temperature, and road surface roughness. This study investigates the influence of critical parameters—including test speed, inflation pressure, load, temperature, and slip angle—on the rolling resistance of tyres of various sizes. While previous research has predominantly focused on radial tyres, this paper extends the analysis to include bias-ply tyres, which remain widely used in ASEAN countries, including India. The findings aim to offer valuable insights for policymakers and researchers by examining the behaviour of bias tyres under real-world conditions. Special focus is given to the influence of slip and camber angles, with experiments conducted on passenger
Joshi, Amol, Khairatkar, Vyankatesh, Belavadi Venkataramaiah, Shamsundara
Parameterizing External Factors Influencing E-motor Consumption2026-26-0175To be published on 01/16/2026
In recent times, a standard drive cycle is an excellent way to measure the electric range of EVs. This process is standardized and repeatable; however, it has the drawback of testing in a controlled environment with a low content of active functions. This can cause a significant variation in predicted range between drive cycles and actual on-road tests. This problem can be addressed via on-road testing and by using customer-based velocity cycles which involve more active functions. While on-road tests provide a more accurate idea of real-world consumption, the repeatability of these tests is low due to excessive randomness. External factors such as ambient temperature, driver behavior, traffic, terrain, altitude, and load conditions affect the vehicle during on-road testing, making repeatability difficult. No two measurements can have the same consumption even if done on the same road with the same vehicle due to these factors. This paper presents a machine learning-based method to
Kelkar, Kshitij, Kanakannavar, Rohit
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 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
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