Browse Topic: Hybrid electric vehicles

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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
E-drive System Selection Criterion for Hybrid Electric Heavy Commercial Vehicles Segments2026-26-0467To be published on 01/16/2026
Automotive industry expediting progress toward electrification since climate change driven by global warming represents a significant environmental challenge with far-reaching implications. While electric vehicles offer considerable potential for mitigating CO₂ emissions, their elevated upfront costs pose a notable challenge to large-scale market penetration. Hybrid electric vehicles can serve as an effective intermediary solution, bridging the gap between conventional internal combustion engine vehicles and fully electric vehicles, owing to their comparatively lower initial costs. Hybrid electric vehicle component selection is a complex process which has to fulfil multiple requirements fuel economy, performance, drivability, packaging, total cost of ownership of vehicle and comfort. In addition, Hybrid configuration selection also plays a vital role in cost of hybrid electric vehicle. Hence, it is a great challenge to select right powertrain configuration including architecture
Shendge, Raman, Jadhav, Vaibhav, Wani, Kalpesh, Warule, Prasad
Prediction of REESS factor for SOC correction in Hybrid Vehicles2026-26-0471To be published on 01/16/2026
The regulatory mechanisms to measure emissions from automobiles have evolved drastically over the years. Certification of CO2 emissions is one of them. It is not only critical for environmental protection but can also invite heavy fines to OEMs, if not complied with. In homologation test of a Hybrid Vehicle, it is necessary to correct the measured CO2 to account for deviations in measurement from failed Start-Stop phase and difference between start and end State of Charge (SOC) of battery. The correction methodology is also applicable for vehicle simulation in Software-in-Loop environment. The focus of this paper is on the correction of CO2 derived from SOC delta in Homologation cycle. The battery energy delta due to difference in SOC between start and end of drive cycle should be converted to corresponding fuel energy/CO2 expended from Internal Combustion Engine. The resulting correction factor is known as Rechargeable Electrical Energy Storage System (REESS) factor. To provide this
Gopinath, Shravanthi Poorigali, Khatod, Krishna
Simulation Research on Torque Vectoring, Braking, Chassis control Strategies for Electric & hybrid Vehicles using System Simulation2026-26-0423To be published on 01/16/2026
Electric Vehicles and Plug-in Hybrids alleviate the energy crisis but pose a unique challenge for vehicle dynamics. Though significant developments in motor control strategy and energy density management are evolving, we face significant challenges in Torque Management with several ADAS features being integral part of the EV's/xHEV's. It demands high-fidelity physical and control model exchanges between electric-chassis, ride-handling, tire modelling, Steering Assist, powertrain and validate using 0D-1D platform. This paper explicates a unified strategy for improving overall vehicle performance by intelligently distributing and coordinating drive torque to enhance traction, stability, and drivability across diverse operating conditions through the co-simulation. Co-Simulation platform includes physical models in AMESIM, and control strategies integrated in MATLAB/Simulink. The platform features comprehensive representations of digital vehicle that requires detailed modelling of
Eruva, Patrickxavier, Sarapalli Ramachandran, Raghuveeran, Chougule, Sourabh, Natanamani-Pillai, Siva Subramanian, Scheider, Clement, Leclerc, Cedric, Natarajasundaram, Balasubramanian
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
Development and Validation of a 1D Model for Evaluating Transmission Efficiency in Vehicles2026-26-0066To be published on 01/16/2026
This study develops a one-dimensional (1D) model to enhance transmission efficiency by evaluating power losses within a transmission system. The model simulates power flow and identifies losses at various stages such as gear mesh, bearing, churning, and windage losses. Using ISO/TR 14179, which provides a method for calculating the thermal transmittable power of gear drives with an analytical heat balance model, the 1D model ensures accurate thermal capacity evaluation under standard conditions. A key advantage of this 1D model is its efficiency in saving time compared to more complex 3D modelling, making it particularly useful during the conceptual stage of transmission system development. This allows engineers to quickly assess and optimize transmission efficiency before committing to more detailed and time-consuming 3D simulations. To validate the model, experimental tests were conducted at various motor speeds (RPM) and torque values, using high-precision sensors and dynamometers
Bandi, Nagendra Reddy, Kolla, Kalyan, P, Selvandran, Pulugundla, Krishna Chaitanya, M A, Naveen Kumar
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
HIL Simulation of Power Electronics Switching Circuit for Automotive Software Application2026-26-0516To be published on 01/16/2026
Power electronics switching applications are essential for energy management and conversion in automotive electric vehicles (EVs). This paper focuses on DC-DC converters, particularly the integration of 48V DC-DC converters in modern automotive systems. These converters are crucial for efficient power delivery to auxiliary systems such as infotainment, lighting, safety electronics, and thermal management units. In mild hybrid electric vehicles (MHEVs), 48V systems support advanced features like regenerative braking, electric turbocharging, and start-stop functionality. To ensure the reliability, safety, and performance of these converters, Hardware-in-the-Loop (HIL) testing has emerged as a powerful validation technique. HIL enables real-time simulation of the converter’s electrical environment and load conditions, allowing comprehensive testing of the control system without high-level voltage, significantly reducing development time, cost, and risk. The methodology involves utilizing
Yadav, Vikaskumar, Wakure, Vinod
Multiphysics Analysis of Heat Sink Designs for Efficient Thermal Performance in Power Electronics Systems2026-26-0446To be published on 01/16/2026
The thermal management capability of power electronic (PE) systems has a critical impact on the performance and efficiency of electric, fuel cell, or hybrid vehicles. Bus bars, high resistance sensor devices, semiconductor switches, power capacitors are the primary components, which has major contribution in total heat generation in electrical drive unit. As PE packaging sizes are projected to become smaller, the challenge of managing increased heat dissipation becomes more critical. Hence, this paper numerically compares conventional and advanced cooling strategies to determine the best possible thermal management scenario. A multi-physics finite element model, integrating fluid, electrical, thermal, and structural fields, is employed to analyze heat generation within the PE system and the associated cooling mechanisms. Due to the significant impact of surface roughness and topology on electrical and thermal contact resistance, the Cooper-Mikic-Yovanovich (CMY) correlation is utilized
Singh, Praveen Kumar, Natarajan, Nesamani, Murali, Sariki
On Optima Selection Strategies of Adversarial Swarm Learning for Energy Management of PHEVs2025-01-732012/31/2025
Developing robust optimization and learning methods is necessary for intelligent vehicles since an increasing number of critical control functions will be handled by artificial intelligence. This paper proposes an adversary swarm learning (ASL) system and an optima selection strategy for robust energy management of plug-in hybrid electric vehicles (PHEVs). The proposed ASL system comprises an attacking swarm and a defending swarm, which compete against each other iteratively to derive the most robust equivalent consumption minimization strategy (ECMS) for PHEV energy management. During the attacking rounds, the ECMS settings are fixed by the defender. Meanwhile, the attacker generates worst-case driving conditions by training a model in order to Maximize the equivalent energy consumption. During the defending rounds, the ECMS settings are optimized by the defender based on the driving scenarios generated by the attacker. The settings of robust ECMS are derived by introducing the
Zhong, Danyang, Yu, Zhuoping, Xiong, Lu, Zhou, Quan
Electrification: Vol. 3EPRCOMPV04202512/29/2025
Muelaner, Jody Emlyn, Adas, Camilo Abduch, Xu, Min, Zhang, Yijia
A Comparative Lifecycle Assessment Framework for Automotive Battery Storage Systems13-07-01-000112/19/2025
The transportation sector faces heightened scrutiny to implement sustainable technologies due to market trends, escalating climate change and dwindling fossil fuel reserves. Given the decarbonization efforts underway in the sector, there are now rising concerns over the sustainability challenges in electric vehicle (EV) adoption. This study leverages ISO 14040 Lifecycle Assessment methodology to evaluate EVs, internal combustion engine vehicles (ICEVs), and hybrid electric vehicles (HEVs) spanning cradle-to-grave lifecycle phases. To accomplish this an enhanced triadic sustainability metric (TSM) is introduced that integrates greenhouse gas emissions (GHG), energy consumption, and resource depletion. Results indicate EVs emit approximately 29% fewer GHG emissions than ICEVs but about 4% more than HEVs on the current the US grid, with breakeven sustainability achieved within a moderate mileage range compared to ICEVs. Renewable energy integration on the grid significantly enhances EV
Koech, Mercy Chelangat, Fahimi, Babak, Balsara, Poras T., Miller, John
Braking systems for electrified vehicles in national market2025-36-007712/18/2025
The demand for electrified vehicles has been increasing over the last few years, near to 180 thousand units were sold only in 2024, which represented around 7% of total sales of this type of vehicle in Brazil. By the year 2030, it is expected that at least 40% of sales volume will be electrified vehicles, considering mild hybrids. These results show that vehicle manufacturers are moving towards electrification and reducing carbon emission rates. Different levels of electrification are applied in their portfolio: from mild hybrid or rechargeable vehicles to fully electric vehicles. When analyzing the number of components in each automotive system, it is possible to notice a huge reduction. Electric vehicles have 90% fewer moving parts in the engine than combustion vehicles. In brake systems, the reduction can be up to 20% in hybrid and electric vehicles, which can use the same solutions. This paper aims to present the changes in the sets of braking components from combustion vehicles to
Romão, Bruno, Batagini, Emerson, Horschutz, Everton
Control Strategies for a Hybrid Electric-Combustion Powertrain Applied to a Test Bench2025-36-024612/18/2025
This paper presents the design and implementation of a test bench intended for the development and validation of control strategies applied to a hybrid-electric powertrain. The setup combines a 48 V SEG BRM electric machine with a small-displacement internal combustion engine (ICE), the HONDA GX160, operating in a parallel hybrid configuration. The platform was developed to improve energy efficiency in comparison to a conventional ICE-only system. Modifications were carried out on an existing test bench at Instituto Mauá de Tecnologia, including the fabrication of a new enclosure for the battery pack and its battery management system (BMS), as well as the integration of a Vector VN8911 real-time controller. A custom control strategy was implemented and experimentally evaluated using a predefined drive cycle under two conditions: (I) ICE-only operation and (II) hybrid-electric operation with the proposed strategy. Results showed a fuel consumption reduction of approximately 13% with the
Polizio, Yuri, Zabeu, Clayton, Pasquale, Gian, Pinheiro, Giovana, Vieira, Renato
Optimizing Automotive Software Development for Hybrids through the V-Model Integrated with Functional Design and In-the-Loop Validation (SiL/HiL)2025-36-024912/18/2025
This paper presents a comprehensive analysis of advanced methods for optimizing software development in hybrid vehicles, focusing on the V-Model methodology integrated with Model-Based Systems Engineering (MBSE), functional design techniques and In-the-Loop validation processes, and the incorporation of agile methodologies such as SAFe (Scaled Agile Framework). The increasing complexity of embedded systems in hybrid vehicles, driven by electrification and the introduction of autonomous and connected systems, demands systematic and rigorous approaches to ensure reliability, safety, and energy efficiency. Over the next sections, we will explore the fundamental principles of the V-Model, its adaptations to the context of hybrid vehicles, the implementation of functional design processes supported by MBSE, the application of Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) methodologies for system validation, and finally the integration of agile SAFe principles to manage
Gomes, Cleber Willian, Natal, Icarus Lima
Development of a Hardware-In-the-Loop (HIL) Platform for Evaluating and Implementing Heated Injection Technology in GDI Engines2025-36-004812/18/2025
Reducing pollutant emissions remains a major challenge for the automotive industry, driven by increasingly stringent environmental regulations. While solutions such as electric vehicles (EVs) and hybrid electric vehicles (HEVs) have been developed, internal combustion engines (ICEs) continue to dominate many markets, requiring additional emission control strategies. Traditional technologies like catalytic converters and advanced injection systems primarily optimize performance once the engine reaches its operating temperature. However, during the cold start phase, when engine temperatures are below optimal, combustion efficiency drops, resulting in increased emissions of non-methane organic gases (NMOG) and nitrogen oxides (NOx). This phase is further compromised by factors such as fuel droplet size and suboptimal catalyst performance. In response, this work presents the development of a Hardware-in-the-Loop (HiL) platform to study the impact of heated injection technology on cold
Triviño, Juan David Parra, Teixeira, Evandro Leonardo Silva, De Lisboa, Fábio Cordeiro, Aguilar, Raul Fernando Sánchez, Oliveira, Alessandro Borges De Sousa
Real-time Analysis of Battery Degradation in a Plug-in Hybrid Electric Vehicles during Vehicle-to-Grid Operation2025-01-507912/09/2025
This paper examines the effect of vehicle-to-grid (V2G) integration on battery aging and the economic viability of plug-in hybrid electric vehicles (PHEVs). Due to their energy storage potential, V2G technologies are considered an environmentally friendly means to increase the stability of power grids. Persistent V2G operations tend to reduce battery lifetime and, consequently, will increase its replacement cost, which is a source of uncertainty for EV owners. This work investigates battery degradation under two scenarios: first, under normal vehicle operation using the US06 drive cycle, and second, under V2G operation with a 10-kW and 15-kW bidirectional charger. In the case of V2G operation, the charger discharges the battery by 20 kWh and then recharges it back to 90% state of charge (SoC) at a constant 1C-rate. Real-time simulations are performed in order to validate these results: a grid, a bidirectional charger, and the vehicle battery are modeled in a real-time simulator
Timilsina, Laxman, Moghassemi, Ali, Buraimoh, Elutunji, Arsalan, Ali, Rahman, S.M. Imrat, Muriithi, Grace, Ozkan, Gokhan, Papari, Behnaz, Edrington, Christopher S.
Road Test Emulation: A Data-Driven Calibration Approach2025-01-052111/25/2025
The resource-intensive process of road testing constitutes an essential part of the development of powertrain software. A significant proportion of explorative tests and adjustments for use in service are conducted during the vehicle test phase. However, the observed trends of decreasing development cycles and increasing system complexity generate a field of conflicts. In order to address this issue, this paper proposes road test emulation as a data-driven approach for continuously adapting powertrain software to the evolving overall system. A dedicated data strategy is designed to enhance customer-oriented software development. Therefore, test scenarios equivalent to in-service conditions are determined based on customer data. These test scenarios enable an emulation of road testing and the analysis of the system in a real-world operational context from the early stages of the product development process. System-specific data from the vehicle under development itself is utilised to
Martini, Tim, Kempf, André, Winke, Florian, Auerbach, Michael, Kulzer, André Casal
Data-Based Modeling of Power-Split Hybrids Using Cascaded Neural Networks2025-01-052211/25/2025
Power-split hybrid powertrains represent one of the most advanced and complex types of powertrain systems. The combination of multiple energy sources and power paths offers great potential but results in complex interactions that require improved strategies for optimal efficiency and emission control. The development and optimization of such operating strategies typically involve algorithms that demand fast computational environments. Traditional high-accuracy numerical simulations of such a complex system are computationally expensive, limiting their applicability for extensive iterative optimizations and real-time applications. This paper introduces a data-based approach designed specifically to address this challenge by efficiently modeling the dynamic behavior of power-split hybrid powertrains using cascaded neural networks. Cascaded neural networks consist of interconnected subnetworks, each specifically trained to represent individual drivetrain components or subsystems. This
Frey, Markus, Itzen, Dirk, Yang, Qirui, Grill, Michael, Kulzer, André Casal
Evaluation of Advanced Powertrain Technologies for Large Agricultural Tractors: Insights on Energy Consumption and Life Cycle Environmental Impact13-06-03-002511/21/2025
This study aims to assess how alternative electrified powertrain technologies affect energy use for agricultural tractors in the Autonomie simulation tool. The goal of this study is also to assess the feasibility and performance of hydrogen internal combustion engines as a suitable alternative for the agricultural tractor powertrains. The energy consumption and efficiencies of alternative powertrains and fuel options are analyzed and compared across a variety of duty cycles using modeling and simulation methodologies. The considered alternative powertrains are series, parallel, power-split hybrid electric, fuel cell, and battery electric powertrains. The alternative fuel and powertrains are evaluated for their energy efficiency as well as their potential to reduce greenhouse gas emissions and improve overall tractor performance in a variety of agricultural applications. Following a methodology developed by Argonne National Laboratory and Aramco Americas, the study applied prospective
Kim, Namdoo, Yan, Ziming, Vijayagopal, Ram, Jung, Jaekwang, He, Xin
Cooling System Design Approach for Off-Road Vehicles Using 3D CFD and 1D Tools2025-28-026011/06/2025
The average product development cycle spans 3-5 years, involving extensive virtual and physical testing of the machine. Advances in simulation tools have significantly enhanced our ability to identify product solutions early in the design phase. Tools like 1D KULI and Creo Flow Analysis (CFA) offer faster solutions in less time, thereby accelerating the product development cycle. Cooling systems are crucial components of off-highway tractor machines, directly affecting engine efficiency and overall machine functionality. An optimized cooling system ensures the engine operates within safe temperature ranges, preventing overheating and potential damage. Thus, designing an effective cooling system is a vital aspect of machine engineering. 3D Computational Fluid Dynamics (CFD) simulations are essential for evaluating cooling system performance. These high-fidelity simulations provide detailed insights into fluid flow and heat transfer, enabling engineers to predict and enhance cooling
Ukey, Snehal, Tirumala, Bhaskar, Nukala, Ramakrishna
Preliminary Development of a Novel 2-Stroke Petrol Engine for a Hybrid Sport-Tourer Motorcycle2025-32-002511/03/2025
While hybrid electric powertrains are the standard for passenger cars, the application to motorcycles is almost nil. The reason is the increase in weight, cost and overall dimensions, which can compromise the layout and dynamics of the motorcycle. A viable path is to replace the standard internal combustion engine with a much smaller and lighter unit, which leaves room for the installation of the electric components. The 2-Stroke (2S) cycle technology, thanks to double cycle frequency and inherent simplicity, can be the key to reduce engine dimensions, weight and cost, while keeping high power outputs. The HybridTec project, discussed in this paper, aims to develop a compact and lightweight V-90° two-cylinder 2S engine, coupled to an electric motor installed downstream of the gearbox (P3 configuration). The total installed power should be about 110 kW. The engine features loop-scavenging, actuated by a crankshaft-driven supercharger, while an exhaust rotary valve and electronic fuel
Rinaldini, Carlo Alberto, Scrignoli, Francesco, Volza, Antonello, Mattarelli, Enrico, Montanari, Luca, Magnani, Gianluca
Development of the Hydrogen Fueled Internal Combustion Engine for Off-Road Applications2025-32-006611/03/2025
This paper focuses on the potential application of hydrogen fueled internal combustion engine (HICE) in the off-road market, examining HICE based on a diesel engine. In the transition to HICE, priority was given to compatibility with existing systems, minimizing changes from the base engine. By adopting a PFI (Port Fuel Injection) method for fuel injection, low-pressure hydrogen supply was achieved. To address the issue of backfire associated with PFI, optimization of injection pressure using a variable pressure control valve, along with adjustments to valve timing and injection timing, was implemented to suppress backflow of residual gases into the intake system and minimize hydrogen retention. Regarding pre-ignition, in addition to suppressing hotspots, the relationship between the homogenization of the air-fuel mixture and NOx emissions was examined, revealing a correlation. This engine was mounted on a generator, and efforts were made to improve the important characteristic of
Shiraishi, Kentaro, Kishi, Shinji, Kato, Daichi, Mitamura, Kenta, Murakami, Kei, Mikuni, Yusuke
Development of Electronic Control in Strong Hybrid Motorcycle2025-32-009111/03/2025
In response to the growing demand for environmental performance, the mobility industry is actively developing electrification, and in particular, the use of Battery Electric Vehicles (BEV) in commuting motorcycles is advancing. However, in the case of vehicles for leisure, which require high riding performance, there are problems such as cruising range and charging time, and there are currently few mass-produced models. Therefore, we proposed a Hybrid Electric Vehicle (HEV) type Motorcycle (MC) to achieve both environmental performance and high riding performance by means other than BEV. The proposed vehicle is equipped with a strong type hybrid system in which an engine and a drive motor are connected in parallel via a hydraulic electronically controlled clutch. It is possible to drive only by motor (EV driving) or by hybrid driving powered by both the engine and the motor (HEV driving). In order to improve environmental performance, it is necessary to develop a function for switching
Obayashi, Kosuke, Terai, Shohei, Jino, Kenichi, Kawai, Daisuke
Design, Optimization and Calibration of a Single-Cylinder, Motorcycle Engine for Integration into a Novel Formula SAE Electric Hybrid Powertrain2025-32-004511/03/2025
The Formula SAE competitions often drive changes in the automotive research field by developing, implementing and emphasizing new technologies for both on-road and on-track applications and by training future engineers, mechanics, logistics and administrative personnel. In this work, the adaptation of a motorcycle, single-cylinder engine for the installation in an electric hybrid car for Formula SAE races is described, focusing on the design of intake and exhaust parts and on the development of the fully open-access Engine Control Unit (ECU) code. In the first part of the work, the 1-D model of the engine is developed and used to design the intake and the exhaust parts needed to make the Formula Student car rules compliant. In particular, the intake manifold and the intake ducts have been designed with the assistance of the engine model to optimize the engine response under transient conditions and to maximize the power. On the other hand, the exhaust line was designed to increase the
Brusa, Alessandro, Fabbri, Pietro, Shethia, Fenil, Bassani, Davide, Petrone, Boris, Cavina, Nicolo
Development of an Artificial Calibrator for Shift Program Optimization to Enhance Fuel Efficiency2025-32-008211/03/2025
The calibration of automotive electronic control units is a critical and resource-intensive task in modern powertrain development. Optimizing parameters such as transmission shift schedules for minimum fuel consumption traditionally requires extensive prototype testing by expert calibrators. This process is costly, time-consuming, and subject to variability in environmental conditions and human judgment. In this paper, an artificial calibrator is introduced – a software agent that autonomously tunes transmission shift maps using reinforcement learning (RL) in a Software-in-the-Loop (SiL) simulation environment. The RL-based calibrator explores shift schedule parameters and learns from fuel consumption feedback, thereby achieving objective and reproducible optimizations within the controlled SiL environment. Applied to a 7-speed dual-clutch transmission (DCT) model of a Mild Hybrid Electric Vehicle (MHEV), the approach yielded significant fuel efficiency improvements. In a case study on
Kengne Dzegou, Thierry Junior, Schober, Florian, Rebesberger, Ron, Henze, Roman
High-Performance Electrification Solutions Reshaping Military SystemsTBMG-5410811/01/2025
There is a significant shift toward the electrification of military systems as defense chiefs worldwide look to secure operational advantage across land, sea, and air. From ground vehicles to naval vessels, fighter jets to autonomous drones, senior officials, and planners are eager to accelerate the adoption of batteries, hybrid electric systems, and other sustainable technologies — thereby improving the performance of major platforms.
Quantitative Analysis for Optimizing Thermal Management in Fuel Cell Vehicles2025-28-035810/30/2025
Zero emission vehicles are essential for achieving sustainable and clean transportation. Hybrid vehicles such as Fuel Cell Electric Vehicles (FCEVs) use multiple energy sources like batteries and fuel cell stacks to offer extended driving range without emitting greenhouse gases. Optimal performance and extended life of the important components like the high voltage battery and fuel-cell stack go a long way in achieving cost benefits as well as environmental safety. For this, energy management in FCEVs, particularly thermal management, is crucial for maintaining the temperature of these components within their specified range. The fuel cell stack generates a significant amount of waste heat, which needs to be dissipated to maintain optimal performance and prevent degradation, whereas the battery system needs to be operated within an optimal temperature range for its better performance and longevity. Overheating of batteries can lead to reduced efficiency and potential safety hazards
BHOWMICK, SAIKAT, Churi, Chetana
Smart Energy Management System for Hybrid Electric Vehicles: Integrating Fuel Cells and Ultra-Capacitors using Neural Network2025-28-036510/30/2025
This paper offers a state-of-the-art energy-management strategy specifically developed for FCHEV focusing on robustness under uncertain operations. Currently, energy management strategies try to optimize fuel economy and take into account the sluggish response of fuel cells (FCs); however, they mostly do so assuming all system variables are explicit and deterministic. In real-world operations, however, a variety of sources may cause the uncertainty in power generation, energy conversion, and demand interactions, e.g., the variation of environmental variables, estimated error, and approximation error of system model, etc., which accumulates and adversely impacts the vehicle performance. Disregarding these uncertainities can result in overestimation of operating costs, overall efficiency and overstepped performance limitations, and, in serious cases can cause catastrophic system breakdown. To mitigate these risks, the current work introduces a neural network-based energy management
Deepan Kumar, Sadhasivam, M, Boopathi, R, Vishnu Ramesh Kumar, Karthick, K N, R, Nithiya, R, Krishnamoorthy, V, Dayanithi
Location Based Predictive Capabilities for Thermal System Control2025-28-041310/30/2025
In the realm of electric and hybrid vehicles (EVs, HEVs), the intelligent thermal system control unit is essential for optimizing performance, safety, and efficiency. Unlike traditional internal combustion engines, EVs rely heavily on battery performance, which is significantly influenced by temperature. An intelligent thermal management system helps battery packs to operate within their optimal temperature range, enhancing energy efficiency, extending battery life, and maximizing driving range. Furthermore, it plays a crucial role in managing the thermal dynamics of power electronics and electric motors, preventing overheating, and ensuring reliable operation. As the demand for high-performance and efficient electric vehicles grows, the integration of advanced thermal control strategies becomes increasingly vital, paving the way for innovations in EV design and functionality. One of the key aspects of an intelligent thermal system control is their prediction capability. These
Golgar, Samrat, Boobalan, Anand
Thermal Management in Electrified Transportation: A Comparative Study of Different Powertrain Technologies2025-28-041210/30/2025
The transition towards sustainable transportation necessitates the development of advanced thermal management systems (TMS) for electric vehicles (EVs), hybrid electric vehicles (HEVs), hydrogen fuel cell vehicles (FCVs), and hydrogen internal combustion engine vehicles (HICEVs). Effective thermal control is crucial for passenger comfort and the performance, longevity, and safety of critical vehicle components. This paper presents a rigorous and comparative analysis of TMS strategies across these diverse powertrain technologies. It systematically examines the unique thermal challenges associated with each subsystem, including cabin HVAC, battery packs, fuel cell stacks, traction motors, and power electronics. For cabin HVAC, the paper explores methods for minimizing energy consumption while maintaining thermal comfort, considering factors such as ambient temperature, humidity, and occupant load. The critical importance of battery thermal management is emphasized, with a focus on
K, Neelima, K, Anisha, Ch, Kavya, C, Somasundar, Satyam, Satyam, P, Geetha
Characterization of High-Power Cold-Start Emissions Part 2: Impact of Hybrid Topologies and Powertrain Sizing on Tailpipe Emissions Performance03-18-06-003910/22/2025
The current work is the second installment of a two-part study designed to understand the impact of high-power cold-start events for plug-in electric vehicles (PHEVs) on tailpipe emissions. In part 1, tailpipe emissions and powertrain signals of a modern PHEV measured over three drive cycles identified that high-power cold-start events generated the highest amounts of gaseous and particulate emissions. The trends in emissions data and powertrain performance were specific to the P2-type hybrid topology used in the study. In this second part of the study, the effects of different PHEV hardware configurations are determined. Specifically, the tailpipe emissions of three production plug-in hybrid vehicles, operated over the US06 drive cycle, are characterized. The approach compared the tailpipe emissions of the test vehicles on the basis of the hybrid topologies and corresponding engine operational characteristics during a high-power cold-start event. Analysis of test results showed
Chakrapani, Varun, O’Donnell, Ryan, Fataouraie, Mohammad, Wooldridge, Margaret
Characterization of High-Power Cold-Start Emissions Part 1: Analysis of a Modern Plug-In Hybrid Electric Vehicle Tailpipe Emissions03-18-06-003810/22/2025
The California Air Resources Board (CARB) and the United States Environmental Protection Agency (US EPA) have recently introduced targets for tailpipe emissions during high-power cold-start conditions for plug-in hybrid electric vehicles (PHEVs). However, the performance characteristics of hybrid powertrains and the effectiveness of cold-start strategies in PHEVs are not well known. In this two-part study, the performance of a production PHEV is examined with the objective of quantifying the impact of high-power cold-start events on overall tailpipe emissions. High temporal fidelity data of powertrain performance and tailpipe emissions generated during cold-start events for various driving conditions are presented for the first time. The selected P2 hybrid vehicle was tested using (i) the European Real Driving Emissions (RDE) test, (ii) the US06 (Supplemental Federal Test Procedure), and (iii) a custom drive cycle developed for this study. Results show that driving conditions leading
Chakrapani, Varun, O’Donnell, Ryan, Fatouraie, Mohammad, Wooldridge, Margaret
Reinforcement Learning Optimized Energy Control of Electric Vehicles Considering Powertrain Thermal Dynamics2025-99-001810/17/2025
In view of the contradiction between the best engine monomer performance and the poor vehicle performance existing energy management strategies, the objective of this study is to leverage deep reinforcement learning to incorporate the thermal characteristics of the engine into the optimization process of energy management strategies, thereby enhancing fuel economy under real-world vehicle operating conditions. Combining the real-time road condition information provided by the vehicle network system, the state space and action space are formulated based on the Soft Actor-Critic (SAC) reinforcement learning algorithm, taking into account energy power and engine cooling constraints, while a generalized reward function design methodology is proposed. Based on bench test data, this paper establishes a series hybrid electric vehicle model with integrated engine thermal characteristics, and validates the effectiveness of the algorithm under actual road conditions by using the engine bench
Fu, Weiqi, Lei, Nuo, Zhang, Hao
A Novel Vehicle Simulation Framework for the Evaluation of H 2 and Battery Electric Powertrain Architectures14-14-03-002110/10/2025
Recent policies have set ambitious goals for reducing greenhouse gas (GHG) emissions to mitigate climate change and achieve climate neutrality by 2050. In this context, the feasibility of hydrogen applications is under investigation in various sectors and promoted by government funding. The transport sector is one of the most investigated sectors in terms of emission mitigation strategies, as it contributes to about one-fifth of the total GHG emissions. This study proposes an integrated numerical approach, using a simulation framework, to analyze potential powertrain alternatives in the road transport sector. Non-causal point parametric vehicle models have been developed for various vehicle classes to evaluate key environmental, energy, and economic performance indicators. The modular architecture of the simulation framework allows the analysis of different vehicle classes. The developed framework has been used to compare powertrain alternatives based on hydrogen and electricity energy
Pipicelli, Michele, Sedarsky, David, Di Blasio, Gabriele
Equivalent Power Consumption Minimization Strategy Based Controller for a Novel Dedicated Hybrid Engine Powertrain for a Light-Duty Application2025-01-041610/07/2025
Due to strengthened CO2 regulations, the automotive industry is facing the challenge of reducing greenhouse gas emissions. In response, the industry has focused on developing various technologies that enhance fuel economy and reduce greenhouse gas emissions. Hybrid electric powertrains have demonstrated significant potential to improve fuel economy and reduce greenhouse gas emissions. The improvements resulting from hybrid electric powertrains depend on the degree of electrification, which is closely related to the sizing of the motor and battery. However, hybridization increases the complexity of the powertrain. As multiple power sources are involved, complex control algorithms must be developed to allocate power usage among various driving scenarios while fulfilling driver requests. One way to simplify hybrid power management control is to implement optimization strategies that determine the operating states for each component during different driving scenarios, aiming to minimize
Echeverri Marquez, Manuel, Bhoge, Mahesh, Lago, Rafael, Engineer, Nayan, Bhadra, Kaustav, Whitney, Christopher, Baur, Andrew
Factors Influencing Energy Consumption in Plug-In Hybrid Vehicles: A Field Study2025-01-041410/07/2025
The paper assesses the impact of key factors influencing energy consumption for a Plug-in Hybrid Vehicle (PHEV) passenger car based on actual operating conditions over a period of one year. The tests were carried out in various climatic conditions, by random drivers, on the roads and streets of a medium-sized city in Poland. The use of PHEV with the prepared measuring procedure allowed for the analysis of energy consumption separately for the internal combustion and electric drive system. The total energy consumption directly depends on the way the car is used and on the availability of energy in fuel tank and traction battery. The calculated energy consumption varied from 20.19 to 41.97 kWh/100 km. The results were compared to other vehicles operated in real conditions, registered in a public database. The recorded minimum values of energy consumption correspond to the electric drive system, and the maximum values to the internal combustion drive system.
Mamala, Jaroslaw, Graba, Mariusz, Bieniek, Andrzej, Prażnowski, Krzysztof, Hennek, Krystian, Burdzik, Rafał
The Impact of Inter-Vehicular Distance on CO₂ Emissions in On-Road Driving Hybrid Vehicles2025-01-040410/07/2025
A major challenge for internal combustion engine vehicles is reduction of CO₂ emissions. Hybrid vehicle demand has recently increased as a countermeasure. However, in hybrid vehicles, the frequency of motor and engine usage varies depending on the driver's driving style, even when driving the same vehicle on the same route. As a result, CO₂ emissions can differ significantly between drivers. Analyzing the impact of driving characteristics on CO₂ emissions can contribute to improving the efficiency of engine and motor control in vehicles, leading to further reductions in CO₂ emissions. Therefore, this paper examines the impact of different driver behaviors on CO₂ emissions in hybrid vehicles. In this study, two drivers were asked to follow a preceding vehicle on real roads, and various data were collected during these drives. Conducting the experiments on actual roads allowed us to obtain results that closely reflect real-world driving conditions, thereby enhancing the relevance of the
Hosogi, Takafumi, Imamura, Kotaro, Sato, Susumu
Q&A25TOFHP10_1110/01/2025
The powertrain landscape of the future is sure to be a mix that includes clean diesel engines and other ICE options running alternative fuels. Zero-emissions technology such as battery-electric also will play a greater role in certain applications - despite the policy headwinds it currently faces in the U.S. “Eventually we have to decarbonize the heavy-duty industry,” Thomas Howell, segment lead for conventional powertrain, AVL in the U.S., told Truck & Off-Highway Engineering. A promising “best of both worlds” technology could be hybrid-electric. But as with BEVs, its impact will depend greatly on finding the right applications for it, Howell said. Read on for more of his thoughts on the hybridization of commercial vehicles.
Gehm, Ryan
Domestically Sourced AND Globally Superior Lithium Vanadium Oxide (LVO) Battery Technology for the U.S. Warfighter2025-01-050709/16/2025
The U.S. Army and broader Department of Defense (DoD) require increasingly advanced energy storage solutions to power modern military vehicles and command systems. The adoption of electrified platforms, as well as the demand for silent watch, high-power surges, and wide-temperature operation, is pushing battery technology beyond the capabilities of conventional lead-acid and standard lithium-ion (Li-ion) chemistries. Tyfast has introduced a novel lithium vanadium oxide (LVO) anode that delivers high power, rapid charge capability, exceptional cycle life, and broad operating temperatures – all while using 100% domestically sourced vanadium oxide and lithium feedstock. This paper presents an overview of LVO-based battery technology, its performance characteristics, safety evaluations, and potential applications in military operations. We also highlight how this novel chemistry complements Army modernization goals and provides a path for future hybrid-electric combat and tactical vehicles
Liu, Haodong, la O’, Gerardo Jose, Liu, Ping
Augmenting a Thermal and Infrared Signature Simulation Tool for Use on Hybrid Electric Ground Vehicles2025-01-047909/16/2025
Thermal or infrared signature management simulations of hybrid electric ground vehicles require modeling complex heat sources not present in traditional vehicles. Fast-running multi-physics simulations are necessary for efficiently and accurately capturing the contribution of these electrical drivetrain components to vehicle thermal signature. The infrared signature and heat transfer simulation tool, “Multi-Service Electro-optic Signature” (MuSES), is being updated to address these challenges by expanding its thermal-electrical simulation capabilities, provide a coupling interface to system zero- and one-dimensional modeling tools, and model three-dimensional air flow and its convection effects. These simulation capabilities are used to compare the infrared signatures of a tactical ground vehicle with a traditional powertrain to a hybrid electric version of the same vehicle and demonstrate a reduction in contrast while operating under electrically powered conditions of silent watch and
Patterson, Steven, Edel, Zachary, Pryor, Joshua, Rynes, Pete, Tison, Nathan, Korivi, Vamshi
Instability Prediction of Onboard Power Electronic Systems in Hybrid Electric Tractors under Large Power Disturbances14-14-03-001909/11/2025
In recent years, the powertrains of agricultural tractors have been transitioning toward hybrid electric configurations, paving the way for a greener future agricultural machinery. However, stability challenges arise in hybrid electric tractors due to the relative small capacity to perform power-intensive tasks, such as plowing and harvesting. These operations demand significant power, which are supplied by the electric power take-off system. The substantial disturbances introduced by the electric power take-off system during these tasks render conventional small-signal analysis methods inadequate for ensuring system stability. In this article, we first develop a large-signal model of the onboard power electronic systems, which includes components such as the diesel engine–generator set, batteries, in-wheel motors, and electric power take-off system. By employing mixed potential theory, we conduct a thorough analysis of this model and derive a stability criterion for the onboard power
Li, Fangyuan, Li, Chenhui, Gao, Lefei, Ma, Qichao, Liu, Yanhong
Experimental Analysis and Model-Based Characterization of the Toyota Mirai II’s Electric Machine2025-24-013609/07/2025
The electrification of the transportation sector relies on extensive research and data availability to accelerate technological advancements. However, for certain key components such as electric machines, detailed operational information remains scarce, which in turn limits the development of accurate system-level models for electrified powertrains. As a contribution to addressing this challenge, this study presents an experimental benchmark of the electric machine in the second-generation Toyota Mirai, a fuel cell hybrid electric vehicle (FCHEV) featuring a variable DC voltage bus, which was tested on a roller test bench. The proposed methodology aims to characterize the electric machine with minimal instrumentation and prior knowledge of the machine’s configuration, by identifying electrical and geometric parameters that are relevant for a steady-state model of the machine, applicable to system-level studies, with the objective of providing a methodology that can be used in future
Carlos Da Silva, Daniel, Kefsi, Laid, Sciarretta, Antonio
Electric Machines with Reconfigurable Windings for Automotive Applications2025-24-013109/07/2025
The performance of electric machines for automotive applications is characterised by a high transient torque capability for low speed tractability and a large speed range of high energy conversion efficiency to achieve a desirable vehicle range. Inevitably, these conflicting requirements will introduce a compromise in the design process of electric machines and drives, generally resulting in heavier machines and overrated drive specifications. This paper discusses the principles of reconfigurable windings, explaining how altering winding connections directly influences key machine parameters like flux linkage, inductance, and resistance. It details the necessary switchgear for series-parallel winding reconfiguration, highlighting potential advantages such as enhanced fault tolerance and emergency braking capabilities. A prototype in-wheel motor with series-parallel reconfigurable windings, developed as part of the EM-TECH Horizon Europe project, is presented. Simulation results using
Best, Joshua, Noori Asiabar, Aria, Wang, Bo, Herzog, Matic, Trinchuk, Danylo, Romih, Jaka, Vagg, Christopher
On a NMPC-Based Supervisory Control Logic for Energy Management Purposes in Aeronautical Hybrid Propulsion Systems2025-24-010209/07/2025
Eco-sustainability is one of the main aspects focused on motor industries, including those related to air transport, which work to realize alternative propulsion systems, such as Hybrid Electric Propulsion Systems, for reducing CO2 emissions. Despite the minor CO2 emission produced by Hybrid Electric Propulsion Systems, these categories of propulsors require a proper control architecture for managing combustion and electric energies based on driver decisions and the flight mission set. A supervisory control logic, based on a Nonlinear Model Predictive Control (NMPC), is presented in this work to guarantee a specific State of Charge level of batteries coupled with the minimization of fuel consumption of an aeronautical Hybrid Propulsion System. These two goals are achieved by the designed NMPC, which provides the best amount of torque between the propulsors belonging to the analysed aeronautical powertrain, consisting of an Internal Combustion Engine and an Electric Machine. The
Tordela, Ciro, Fornaro, Enrico
S.I.S.T.E.R.: An Integrated Approach to Non-Exhaust Emissions2025-24-009109/07/2025
As electric mobility spreads and evolves, non-exhaust Particulate Matter (PM) sources are gaining more attention for total vehicular emissions. A holistic approach for studying the involved phenomena is necessary to identify the parameters that have the greatest impact on this portion of emissions. To achieve this, it is necessary to develop a new platform capable of both creating testing methodologies for future regulations and enabling the parallel development of advanced tyres and brakes that meet these standards, by correlating vehicle dynamics, driving style, tyre and brake characteristics, and the resulting emissions. Here the authors present the Sustainable Integrated System for Total non-Exhaust Reduction (S.I.S.T.E.R.) project, funded by the Italian Centro Nazionale per la Mobilità Sostenibile (MOST), that aims to develop an integrated approach to study tyre/brake-related emissions from the initial stages of compound development to outdoor vehicle tests, allowing actions to be
Genovese, Andrea, De Robbio, Roberta, Lenzi, Emanuele, Caiazza, Antonio, Lippiello, Felice, Costagliola, Maria Antonietta, Marchitto, Luca, Serra, Antonio, Arimondi, Marco, Bardini, Perla
Using Turbogenerators for Energy Recovery in Turbocharged Hybrid Powertrains2025-24-010009/07/2025
The widespread adoption of battery electric vehicles (BEVs) is progressing more slowly than anticipated, making hybridization crucial for improving efficiency through load point shifting, running the engine at its most efficient operating points and kinetic energy recovery. As the world continues to use fossil fuels, enhancing powertrain efficiency is critical to reducing CO2 emissions. Improved efficiency will also increase the share of renewable e-fuels in the energy mix, supporting the transition to low-carbon mobility. A significant portion of energy in ICEs is lost through exhaust heat, which is a high-grate energy source that can be converted into electricity in hybrid systems. Conventional turbochargers, widely used to enhance volumetric efficiency and drivability, typically incorporate a wastegate (WG) to regulate boost pressure. However, this results in the intentional dumping of excess valuable exhaust energy leading to energy loss. This paper investigates the replacement of
Kodaboina, Raghu Vamsi, Vorraro, Giovanni, Turner, James W. G.
Supervised Machine Learning Approach to Predict the Optimal Equivalence Factor for Predictive Energy Management Strategies of Plug-In Hybrid Electric Vehicles2025-24-011909/07/2025
Achieving minimal fuel consumption in map-based energy management strategies or equivalent consumption minimization strategies (ECMS) for Plug-in Hybrid Electric Vehicles (PHEVs) requires prior knowledge of the optimal equivalence factor (EF). This factor, which weights the fuel consumption of the internal combustion engine (ICE) and electric energy consumption, can be calculated if the exact driving profile is known. However, in real-world scenarios, the exact driving profile and consequently the optimal EF is unknown. This uncertainty motivates the use of predictive information to estimate this factor, aiming to enable fuel optimal control in real-world driving. This paper presents a methodology to predict the optimal EF across various initial battery states of energy and real-world driving profiles using a regression model for a given powertrain configuration. Initially, the optimal EF is determined, and a range of possible input features based on driving profiles are calculated and
Kimmig, Nikolai, Schlomann, Jan Philipp, Goerke, Daniel, Schmiedler, Stefan, Geringer, Bernhard, Hofmann, Peter
Effect of PEM Fuel Cell Technology Advancement on the Energy Efficiency of a Heavy-Duty Vehicle2025-24-011109/07/2025
Fuel cell hybrid electric vehicles (FCHEVs) are a promising solution for decarbonizing heavy-duty transport by combining hydrogen fuel cells with battery storage to deliver long range, fast refuelling, and high payload capacity. However, many existing simulation models rely on outdated fuel cell parameters, limiting their ability to reflect recent technological improvements and accurately predict system-level performance. This study addresses this gap by integrating a state-of-the-art, physics-based model of a polymer electrolyte membrane fuel cell (PEMFC) into an open-source heavy-duty vehicle simulation framework. The updated model incorporates recent advancements in catalyst design and membrane conductivity, enabling improved representation of electrochemical behavior and real-time compressor control. Model performance was evaluated over a realistic 120 km long-haul drive cycle. Compared to the traditional fuel cell model, the updated system demonstrated up to 20% lower hydrogen
Dursun, Beyza, Johansson, Max, Tunestal, Per, aronsson, Ulf, Eriksson, Lars, Andersson, Oivind
Effects of the Battery Pack Temperature on the Energy Management Strategy and Fuel Consumption of a Series Hybrid Quadricycle2025-24-010109/07/2025
Nowadays, a push towards decarbonisation to reduce the problem of the environmental pollution is increasingly pressing. In the current automotive context, a tendency among the cars manufacturer to consider the development of hybrid vehicles is growing. Indeed, thanks to the battery downsizing due to the addition of the range extender (REx), a hybrid electric vehicle (HEV) allows to overcome the limitations of pure electric vehicles (EV) such as the infrastructure which is linked to the battery charging process. Moreover, the performance of battery in terms of efficiency and operating limits are strictly related with the temperature of the battery pack and with the energy management strategy (EMS). The proposed work aims to analyse the performance of a Plug-In series hybrid vehicle (Plug-In HEV) depending on the temperature of battery pack and the EMS. The considered Plug-In HEV is equipped with a hydrogen-fuelled internal combustion engine that is used as REx. First, a lumped dynamic
Cervone, Davide, Sicilia, Massimo, Polverino, Pierpaolo, Pianese, Cesare
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