Browse Topic: Hybrid electric vehicles

Items (3,147)
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 fuelled 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 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 forth a
Kannan, PrashanthShaik, AmjadTalluri, Srinivasa Rao
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 an integral part of the EVs/xHEVs. It demands high-fidelity physical and control model exchanges between electric chassis, ride-handling, tire modelling, steering assist, powertrain, and validation using a 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 co-simulation. The co-simulation platform includes physical models in AMESIM, and control strategies integrated in MATLAB/Simulink. The platform features comprehensive representations of digital vehicles that require detailed modelling of
Eruva, PatrickxavierSarapalli Ramachandran, RaghuveeranChougule, SourabhNatanamani-Pillai, Siva SubramanianScheider, ClementLeclerc, CedricNatarajasundaram, Balasubramanian
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, SunilD, MariNatarajan, SaravananKumawat, Deepakrojamanikandan, ArumughamK, MalaV, SridharanMuniappan, BalakrishnanMakana, Mohan
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 make a 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. This paper numerically compares six different cooling strategies to determine the best possible thermal management scenario. A coupled physics co-simulation framework is used to analyze a 35W motor inverter integrated with water cooled heat sink. A multi-physics finite element model, integrating fluid, electrical, and thermal fields, is employed to analyze heat generation within the PE system and the associated cooling mechanisms. The power losses from the inverter system are dynamically computed in 1-D
Singh, Praveen KumarNatarajan, NesamaniMurali, Sariki
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 ReddyKolla, KalyanP, SelvandranPulugundla, Krishna ChaitanyaM A, Naveen Kumar
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 and for analyzing vehicle test data for CO2 emissions with programmed digital tools. The focus of this paper is on the correction of CO2 derived from SOC delta in the WLTP homologation drive cycle. The battery energy delta due to difference in SOC between start and end of drive cycle should be converted to corresponding CO2 expended from Internal Combustion Engine. The resulting correction factor is
Gopinath, Shravanthi PoorigaliKhatod, Krishna
Electric Vehicles (EV) are embedded with increased software algorithms coupled with several physical systems. It demands the efficacy of components which are linked together to build a system. The digital models reviewed in this paper are at system-level and full vehicle-level, comprising many components and control design, analysis, and optimization. Systems pertaining to each functionality such as, A/C (Air Conditioning) loop, E-Powertrain (Electric Powertrain), HEVC (Hybrid Electric Vehicle Controller), Cooling system, Battery Management System (BMS), Vehicle control system etc. together make an ‘Integrated Digital Vehicle.’ Fidelity of Intersystem co-simulation [AMESIM + SIMULINK] is key to validating thermal and energy strategies. This paper elucidates the correlation of Digital Vehicle compared to Test for Thermal Strategy in different driving scenarios and Energy management. Validation of Digital vehicle with 52kWh, 40kWh High Voltage Battery for Intercity Travel of Customer
Sarapalli Ramachandran, RaghuveeranSrinivasan, RangarajanSaravanan, VivekDutta, SouhamPichon, MartinLeclerc, CedricGuemene, Alexis-Scott
In its conventional form, dynamometers typically provide a fixed architecture for measuring torque, speed, and power, with their scope primarily centered on these parameters and only limited emphasis on capturing aggregated real-time performance factors such as battery load and energy flow across the diverse range of emerging electric vehicle (EV) powertrain architectures. The objective of this work is to develop a valid, appropriate, scalable modular test framework that combines a real-time virtual twin of a compact physical dynamometer with world leading real-time mechanical and energy parameters/attributes useful for its virtual validation, as well as the evaluation of other unknown parameters that respectively span iterations of hybrid and electric vehicle configurations, ultimately allowing the assessment of multiple chassis without having to modify the physical testing facility's test bench. This integration enables a blended approach, using a live data source for now, providing
Kumar, AkhileshV, Yashvati
The present disclosure is about combating Thermal runaway in Electric, Plug-in Hybrids and mild hybrid vehicles. This paper comprises of high-Voltage Battery pack containing Battery cells electrically coupled with Shape Memory Alloy along with Busbars. These connectors (Shape Memory Alloy) are programmed to operate in two states: First to electrically connect the cells with the busbars, second to disconnect the individual cells from electric connection beyond the threshold temperature. This mechanism enables the Battery cells to rapidly prevent the Battery from the Thermal runaway event which is caused from the cell level ensuring the Battery safety mechanically. Additionally, the Battery pack includes the cell monitoring system and Battery Monitoring System to enhance the above invention with regards to the safety of the vehicle. This configuration is implementable and retrofittable into existing battery systems, offering a robust solution to the challenges posed by prolonged vehicle
Reginald, RiniRout, SaswatVENKATESH, MuthukrishnanChauhan, Ashish JitendraSelvaraj, Elayanila
The automotive industry has been 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 that must fulfill multiple requirements: fuel economy, performance, drivability, packaging, total cost of ownership and comfort. Additionally, the selection of hybrid configuration also plays a vital role in determining the cost of the hybrid electric vehicle. Hence, it is a great challenge to select the right powertrain
Shendge, RamanJadhav, VaibhavWani, KalpeshWarule, Prasad
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, PawanKeizer, RubenSandhu, RoubleEmran, Ashraf
In the recent years, the use of conventional passenger vehicles has been increasingly discouraged, from European-level policies to local municipal regulations, due to the urgent need to reduce greenhouse gas emissions and urban pollution. In response to these challenges, the PRIN2020 project HySUM (Hybrid SUstainable Mobility platform) explores innovative hybrid powertrain solutions for light and heavy quadricycles to achieve near-zero pollutant emissions, focusing on internal combustion engine hybrid electric vehicles and fuel cell hybrid electric vehicles. Taking all these aspects into consideration, this article proposes an integrated solution for cooling/HVAC circuits, to improve energy efficiency and occupants’ comfort, while focusing on proper battery operation, with a recuperator heat exchanger used to recover the available heat at the powertrain output, in order to reduce the HVAC heater energy consumption. The complexity of the circuit requires a specific control logic to be
Lombardi, SimonePutano Bisti, ChiaraFederici, LeonardoPistritto, AntoninoChiappini, DanieleTribioli, Laura
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, DanyangYu, ZhuopingXiong, LuZhou, Quan
Muelaner, Jody EmlynAdas, Camilo AbduchXu, MinZhang, Yijia
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 ChelangatFahimi, BabakBalsara, Poras T.Miller, John
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, BrunoBatagini, EmersonHorschutz, Everton
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 WillianNatal, Icarus Lima
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, YuriZabeu, ClaytonPasquale, GianPinheiro, GiovanaVieira, Renato
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 ParraTeixeira, Evandro Leonardo SilvaDe Lisboa, Fábio CordeiroAguilar, Raul Fernando SánchezOliveira, Alessandro Borges De Sousa
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, LaxmanMoghassemi, AliBuraimoh, ElutunjiArsalan, AliRahman, S.M. ImratMuriithi, GraceOzkan, GokhanPapari, BehnazEdrington, Christopher S.
Toyota's big claim for its new sixth-generation 2026 RAV4 is that the SUV is now“ 100% electrified.” That's true, as Obi-wan once said, from a certain point of view. As it recently did with the Camry, the automaker has eliminated an ICE-only powertrain from the list of options, giving drivers the choice between a gas-electric hybrid or a plug-in hybrid (PHEV). The hybrids use Toyota's fifth-generation hybrid system, which uses a 2.5-L 4-cylinder aluminum Atkinson cycle engine that produces 163 lb-ft and up to 226 hp (169 kW) in FWD configuration, 236 hp (176 kW) in AWD. Seven trim levels - LE, XLE Premium (which Toyota expects to be the volume trim), Limited, SE, XSE and Woodland - can be had with the hybrid powertrain, while the driving-focused GR Sport version can only be had as a PHEV. The plug-in option is available on the SE, XSE and Woodland. These new RAV4s use Toyota's sixth-generation PHEV system, which produces 324 hp (242 kW) and up to 172 lb-ft So, yes, the entire line-up
Blanco, Sebastian
Horse Powertrain revealed more information about its all-in-one hybrid powertrain, the Future Hybrid System, at IAA Mobility 2025 in Munich in September. The new details involve a 1.5-L, four-cylinder unit with integrated engine, motor, and transmission that was designed to replace an EV's front electric drive module to convert that EV into a hybrid, PHEV, or range-extended EV. Horse Powertrain revealed two variants of the Future Hybrid System (FHS) in Munich. The first, called Performance, is 740 mm (29 in) wide and uses two motors in a P1 + P3 configuration, with one each on the engine output and transmission output shafts. The second, the Ultra-Compact, is 650 mm (26 in) wide and is designed to sit between the engine and transmission. The 1.5-L engine, a dedicated hybrid transmission, and a full suite of power electronics for hybrid use are used in both versions. The company said an even smaller version - by 70 mm (3 in) - with three cylinders is being investigated.
Blanco, Sebastian
DeepDrive's dual-rotor mission began around four years ago, and the company feels like its time has finally come. At IAA Mobility 2025, the Munich-based start-up introduced a new version of its dual-rotor, radial-flux motor for use as a compact generator for range extenders. The MG 250 provides 120 kW continuous power and can be coupled directly to a crankshaft, eliminating the need for a gearbox. DeepDrive's dual-rotor technology uses inner and outer rotors surrounding a stator in a U-shape. Felix Poernbacher, DeepDrive co-founder and co-CEO, told SAE Media that the technology results in higher energy density and a more compact design. The MG 250 was engineered for 96.9% peak efficiency and “an outstanding efficiency map across the continuous operating window,” the company said. The MG 250 also has an integrated SiC inverter and can be configured for oil or water-glycol cooling.
Blanco, Sebastian
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, TimKempf, AndréWinke, FlorianAuerbach, MichaelKulzer, André Casal
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