Browse Topic: Drive cycles

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Simulation of EV range Estimation for different payload of vehicle.2026-26-0389To be published on 01/16/2026
The electrification of transportation is reshaping the automotive and logistics industries, with electric vehicles (EVs) playing an increasingly central role in passenger mobility and commercial operations. As EV adoption grows, the need for accurate range estimation becomes critical, particularly under varying operational conditions such as increased payload. A key business challenge lies in the significant variability of EV range due to changes in vehicle load, which can affect performance, operational efficiency, and cost-effectiveness—especially for fleet-based services. This study focuses on addressing the technical gap in predicting EV range with respect to different payload conditions. Traditional range estimation methods often fail to account for real-world variables like additional cargo weight, leading to suboptimal route planning, increased energy consumption, and unanticipated charging requirements. Payload-induced range degradation can result in up to some deviation in
Khatal, Swaraj, Gupta, Anjali, Krishna, Thallapaka
CS Structure: New generation metallic catalyst substrate for 2- and 3-Wheeler applications2026-26-0220To be published on 01/16/2026
Affordable, efficient and durable catalytic converters for the two and three-wheeler industry in developing countries are required to reduce vehicle emissions and to maintain them at a low level; and therefore to participate in a cleaner and healthier environment. Especially, Metallic catalyst substrates from Emitec Technologies GmbH with structured foils like the Longitudinal StructureTM (LS) are fully compatible to this effort with more than 90% share of produced 2/3 Wheelers metallic catalyst substrates for the Indian customers in 2024. One decade after the market introduction of this LS structure, Emitec Technologies GmbH will introduce now a new generation of foil structure: the Crossversal StructureTM (CS) that improves further the affordability, the efficiency of metallic catalytic converters, keeping the durability at same level than previous substrate generation. The paper will briefly review the development of metallic substrates for 2/3 wheelers applications, especially the
Jayat, Francois, Seifert, Sven, Bhalla, Ashish, Ganapathy, Narayana Prakash
Efficiency Enhancement of Electric Vehicle Drivetrains through Advanced Gearbox Strategies2026-26-0053To be published on 01/16/2026
In the pursuit of sustainable mobility solutions, optimizing drivetrain efficiency has emerged as a critical factor in enhancing the overall performance, reliability, and market acceptance of electric vehicles (EVs). This study specifically focuses on achieving efficiency improvements within the gearbox system of Electric Vehicles, a major contributor to mechanical losses in the drivetrain. Key technical strategies explored include the adoption of low-viscosity lubricants, utilization of low-friction bearings, incorporation of high-efficiency oil seals, and the application of low-loss gear designs. Collectively, these enhancements aim to reduce mechanical frictional losses, leading to tangible benefits such as increased vehicle driving range, reduced energy consumption, lower carbon emissions, and decreased long-term maintenance costs. In addition to component-level improvements, the study investigates the integration of a 2-speed gearbox within electric vehicles as a system-level
Agrawal, Devesh, Bhardwaj, Abhishek, Bhandari, Kiran Kamlakar
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
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
Optimizing System Design performance and its accuracy using Feature Importance2026-26-0421To be published on 01/16/2026
With continuous improvements in model accuracy and computational performance, system simulation can be seamless integrated into development tools and methodologies as a "virtual test bed" in synergy with experimental tests. However, virtual vehicle and powertrain thermal models still face significant obstacles in realizing their full benefits. One common challenge is modeling accuracy and its anomalies, particularly in models provided by internal automotive companies and external suppliers. The models developed for vehicle thermal management and its systems have been created using specific software, making it difficult to verify the accuracy of the models across different systems and their performance. Integrating different systems in a Co-simulation environment has affected the overall accuracy of the Vehicle Simulation Platform model. This situation significantly reduces the return on investment in model development. To address these issues, we propose deploying feature importance
Srinivasan, Rangarajan, Sarapalli Ramachandran, Raghuveeran, Ashok Bharde, Pooja, Saravanan, Vivek
Drive Cycle Type Identification Using Data Driven Methodologies2026-26-0649To be published on 01/16/2026
Identifying the type of drive cycle is crucial for analyzing customer usage and optimizing vehicle performance and emission control. Methods that rely on geographical location are limited by varying driving conditions at the same location (e.g., heavy traffic during peak hours vs. free-flowing traffic at night). This paper proposes a methodology to identify the type of drive cycle (city, interurban, highway or others) using drive characteristics derived from vehicle data rather than geographical location. Real-world vehicle data from testing trucks is taken, whose drive profiles are already known. Initially, multiple characteristic features of the drive cycle are identified from literature surveys and domain experiences. These features, which can be extracted from basic signal data, include gear shifts, time spent in different driving modes (acceleration, cruise, standstill), velocity distributions, and an 'aggressiveness factor' representing overall driving style. Using ML based
Reddy, Mallangi Prashanth, Gorain, Raju, Ganguly, Gourav
Clutch Thermal Adequacy Assessment in Repeat Restart Launch Condition on Gradient2026-26-0434To be published on 01/16/2026
The clutch is a mechanical device that engages and disengages power transmission from the engine to the wheels. It consists of the clutch disc assembly and cover assembly. The clutch disc, with friction material linings, is mounted on the transmission shaft and gets clamped between the flywheel and cover assembly to transmit power as required. However, wear and tear occur due to the differential speeds and slippage between the engine and transmission during operation. Clutch performance is assessed for its thermal behavior under repeat restart conditions on steep gradients, which is essential for the reliability and durability of commercial vehicle clutches. Repeat restart test is a key test to assess clutch performance on a 12% gradient. This test replicates real world scenarios, such as truck launches on hilly terrains under full load, where the clutch experiences significant slippage due to speed differences. This generates heat, and repeated engagements can cause the temperature to
Munisamy, Sathishkumar, Chollangi, Damodar, Mane, Sudhir
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
Drive Cycle Based Energy Audit & Range Estimation for 4X2 Electric Truck2026-26-0163To be published on 01/16/2026
Transportation sector in India accounts for 18% of total energy consumption. Demand of energy consumption is being met by the imported crude oil, which makes transportation sector more vulnerable to fluctuating international crude oil prices. India is mindful of its commitment in 2016 Paris climate agreement to reduce GHG emissions by 35% by 2030 as compared to 2005 levels. To fast track the decarbonization of transportation sector, commercial vehicle manufacturers have been exploring other viable options such as battery electric vehicles (BEVs) as a part of their fleet. As on today, BEV has its own challenges such as range anxiety & high total cost of ownership. Range anxiety can be certainly addressed by optimum sizing of electric powertrain, reduction in specific energy consumption (SEC) & use of effective regeneration strategies. Higher SEC can be more effectively addressed by doing vehicle energy audit thereby estimating the energy losses occurring at each powertrain component of
Gijare, Sumant, Karthick, K., Juttu, Simhachalam, Thipse, Sukrut S., A, Jothikumar, J, Frederick Royston, SR, Subasree, G, Harini, M, Senthil Kumar
India WLTC vs MIDC: Comparative Analytical study on BEV Range & Energy Consumption as per AIS175 draft & AIS039/0402026-26-0244To be published on 01/16/2026
The Main Objective of WLTP (Worldwide Harmonized Light Vehicles Test Procedure) was to standardize the Globally Harmonized Test Procedure for evaluating Emission/ FE/ Range of Light Duty Vehicles. Europe has already adopted the WLTP from 2018. WLTC is a global harmonized test cycle that provides realistic emissions/ Range estimation based on its aggressive driving patterns. In India, currently Continuous Full MIDC (Modified Indian Driving Cycle) used to declare the Range of BEV's. Automotive Industry Standard (AIS) released a AIS 175 draft report for development of WLTP regulation in India (iWLTC : India WLTC). The real road Range of Battery Electric Vehicle (BEV) is observed 25% ~ 35% lower than declared Range of Full MIDC AER (All Electric Range). In Europe, real road range of BEV is 10% ~ 15% lower than declared range of WLTP AER. Analytical study performed on BEV Range/ EC as per AIS 175 draft & AIS 039/040 regulation to compare the impact of iWLTC vs MIDC cycle. The Range & Energy
Shiva Kumar, Mucharla, Tentu, Kavya
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
Performance Evaluation of Battery Pack With E-Rickshaw on Chassis Dynamometer by Using In-House Developed Driving Cycle2026-26-0148To be published on 01/16/2026
The present work highlights a case-study that aims to determine the performance (power input/output) and battery temperature on in-house developed e-rickshaw battery pack. With the rise of e-rickshaws in Indian market, the demand for the batteries have also increased and being the largest state-run energy company of India, R&D Centre of Indian Oil Corporation Limited (IOCL) has developed a chemically modified nanomaterial-based lead acid battery. The lab scale experiments, which are not presented in the study due to confidentiality and intellectual property obligations, indicated that the nanomaterial doped lead acid battery pack performs better than the control (reference) and leading commercial batteries in terms of lifecycle, capacity etc. Subsequently, this paper highlights the performance with IOC R&D Centre manufactured 12V/100AH chemically modified (nanomaterial) lead acid battery pack for e-rickshaw on duty cycle developed indigenously based on the city driving experiences. The
Saroj, Shyamsher, Sithananthan, M, Kumar, Prashant, Arora, Ajay, Sundaram, P, Kalita, Mrinmoy
Analysis of Energy Consumption for Heating City Electric Buses and Ways to Reduce It2026-26-0156To be published on 01/16/2026
For regions with cold climates, the driving range of electric buses becomes a significant obstacle to the broader adoption of this type of transport. The increased energy consumption affects not only the range of autonomous operation but also the lifespan of battery packs, the scheduling of bus departures, and the load on the charging infrastructure. In this context, finding ways to reduce the energy consumption of the climate control system is an actual issue. The aim of the presented research is to experimentally and computationally determine the energy consumption for heating the driver's cabin and passenger compartment of an electric bus during the autumn-winter operation period, as well as to identify and analyze ways to reduce this energy consumption. To determine the air temperature in the passenger compartment, a mathematical model based on heat balance equations was used. This model was validated using data from real-world tests. The research was conducted at a proving ground
Kozlov, Andrey, Terenchenko, Alexey, Stryapunin, Alexander
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
REPLACING DIESEL ENGINES WITH CNG ENGINES – IMPACT ON EMISSIONS, BASED ON CHASSIS DYNAMOMETER TESTS OF MEDIUM AND HEAVY-DUTY BUSES2026-26-0127To be published on 01/16/2026
Abstract This paper compares carbon dioxide, carbon monoxide, methane and nitrogen oxide emissions from medium and heavy-duty buses using diesel, diesel-hybrid, and CNG powertrains. Comparisons are made using results from chassis dynamometer-based tests with driving cycles intended to simulate a wide range of operating conditions. Tail pipe emissions are measured by diluting the vehicle exhaust in a full-scale dilution tunnel by mixing with conditioned air. Samples are drawn through probes of raw exhaust, diluted exhaust and measured using laboratory grade emission analyzers. Emissions measurements include carbon dioxide, carbon monoxide, nitrogen oxides, and hydrocarbons including methane. Fuel consumption for liquid fuels is measured using weighing scales, while a gas flow meter is used for measuring CNG. Experimental data from 20 buses tested on a chassis dynamometer over the last 8 years is analyzed and a comparison of results from similar buses but with the differently fueled
Iyer, Suresh
Fuzzy Logic-Based Traction Control for a 4WD In-Wheel Electric Formula Vehicle2025-36-011412/18/2025
Vehicle dynamic control is crucial for ensuring safety, efficiency and high performance. In formula-type electric vehicles equipped with in-wheel motors (4WD), traction control combined with torque vectoring enhances stability and optimizes overall performance. Precise regulation of the torque applied to each wheel minimizes energy losses caused by excessive slipping or grip loss, improving both energy efficiency and component durability. Effective traction control is particularly essential in high-performance applications, where maintaining optimal tire grip is critical for achieving maximum acceleration, braking, and cornering capabilities. This study evaluates the benefits of Fuzzy Logic-based traction control and torque distribution for each motor. The traction control system continuously monitors wheel slip, ensuring they operate within the optimal slip range. Then, torque is distributed to each motor according to its angular speed, maximizing vehicle efficiency and performance
Oliveira, Vivian Fernandes, Hayashi, Daniela Tiemi, Dias, Gabriel Henrique Rodrigues, Andrade Estevos, Jaqueline, Guerreiro, Joel Filipe, Ribeiro, Rodrigo Eustaquio, Eckert, Jony Javorski
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
Vehicle Gear Shifting Optimization for Fuel Consumption and Emissions Minimization2025-36-011112/18/2025
Vehicles powered by internal combustion engines play a crucial role in urban mobility and still represent the vast majority of vehicles produced. However, these vehicles significantly contribute to pollutant emissions and fossil fuel consumption. In response to this challenge, various technologies and strategies have been developed to reduce emissions and enhance vehicle efficiency. This paper presents the development of a solution based on optimized gear-shifting strategies aimed at minimizing fuel consumption and emissions in vehicles powered exclusively by internal combustion engines. To achieve this, a longitudinal vehicle dynamics model was developed using the MATLAB/Simulink platform. This model incorporates an engine combustion simulation based on the Advisor (Advanced Vehicle Simulator) tool, which estimates fuel consumption and emissions while considering catalyst efficiency under transient engine conditions. Based on these models, an optimization method was employed to
Da Silva, Vitor Henrique Gomes, Carvalho, Áquila Chagas, Lopez, Gustavo Adolfo Gonzales, Casarin, Felipe Eduardo Mayer, Dedini, Franco Giuseppe, Eckert, Jony Javorski
Advanced Compliance Risk Assessment Using Big Data from Fleet Intelligence Data2025-28-034311/06/2025
In-Use emission compliance regulations globally mandate that machines meet emission standards in the field, beyond dyno certification. For engine manufacturers, understanding emission compliance risks early is crucial for technology selection, calibration strategies, and validation routines. This study focuses on developing analytical and statistical methods for emission compliance risk assessment using Fleet Intelligence Data, which includes high-frequency telematics data from over 500K machines, reporting more than 1000 measures at 1Hz frequency. Traditional analytical methods are inadequate for handling such big data, necessitating advanced methods. We developed data pipelines to query measures from the Enterprise Data Lake (A Structured Data storage system), address big data challenges, and ensure data quality. Regulatory requirements were translated into software logic and applied to pre-processed data for emission compliance assessment. The resulting reports provide actionable
Arya, Satya Prakash, Shekarappa, Kiran
Real Driving Emission (RDE) Assessment for Motorcycles Using a Random Cycle Generator (RCG)2025-32-007111/03/2025
To conserve the atmospheric environment, regulations on vehicle exhaust gas emissions have become increasingly stringent. For Light Duty Vehicles (LDVs), Real Driving Emission (RDE) assessments based on Portable Emission Measurement Systems (PEMS) have been introduced. However, the application of PEMS measurements to motorcycles presents several challenges, including reduced measurement accuracy owing to the small engine displacement and number of cylinders and increased motorcycle weight owing to PEMS installation. Therefore, an alternative evaluation method that does not rely on the PEMS is required. In this study, we developed a Random Cycle Generator (RCG) to provide an evaluation method that can be used in a laboratory environment. The RCG enables the evaluation of driving cycles by combining different motorcycle speed patterns. It can generate arbitrary driving cycles that consider the average and upper limits of regional driving characteristics, thereby enabling accurate
Matsuoka, Masahiro, Hirai, Hiroshi, Ito, Takayuki
Emission Performance of Motorcycles: Regulated and Non-Regulated Pollutants under Harmonized and Extended Testing Conditions2025-32-006911/03/2025
This study investigates emissions from motorcycles, focusing on both regulated gaseous pollutants (e.g., CO, NOx, HC) and particulate number (PN) emissions, which are non-regulated for this vehicle category in the actual EU emission regulation. Using a state-of-the-art testbench setup equipped with advanced exhaust gas analysis and particle measurement programme (PMP) system, emissions were analyzed under both standardized homologation cycles (WMTC) and more dynamic Real Driving Cycles (RDCs). Besides the measurement results the technological differences between different motorcycle categories are described. This is followed by a discussion of the influences of engine and exhaust gas aftertreatment systems on emission. The findings reveal, that there are two different subcategories of two-wheeler, which show different emission characteristics. L1e vehicles showed increased emissions compared to passenger cars, caused by the absence of advanced exhaust aftertreatment and on-board
Schurl, Sebastian, Schmidt, Stephan, Bretterklieber, Niko, Kupper, Martin, Kirchberger, Roland
Forward-Looking SiL-Based Fuel Consumption Simulation for Dual-Clutch Transmission Software Evaluation2025-32-007011/03/2025
Evaluating the impact of software changes on fuel consumption and emissions is a critical aspect of transmission development. To evaluate the trade-offs between performance improvements and potential negative effects on efficiency, a forward-looking Software-in-the-Loop (SiL) simulation has been developed. Unlike backward calculations that derive fuel consumption based solely on cycle speed and engine speed, this approach executes complete driving cycles as the Worldwide Harmonized Light-Duty Vehicle Test Cycle (WLTC) within a detailed SiL environment. By considering all relevant influencing factors in a dynamic simulation, the method provides a more accurate assessment of fuel consumption and emission differences between two versions of the transmission software. The significant contribution of this work lies in the high-fidelity integration of a real virtual Transmission Control Unit (vTCU) software within a comprehensive, validated forward-looking SiL environment. This approach
Kengne Dzegou, Thierry Junior, Schober, Florian, Rebesberger, Ron, Henze, Roman
Experimental Analysis of Wheel Bearing Friction Losses Under Realistic Driving Cycles on a Component and Roller Test Bench2025-32-010011/03/2025
The ongoing electrification of vehicle powertrains brings attention to components with a minor contribution to overall friction losses in research and development. To optimize the overall energy efficiency, it is essential to analyze and reduce the losses in these components. Wheel bearings are of particular interest in this context, as their friction losses affect both the driving and recuperation phases. These losses are dependent on temperature, mechanical loads and the bearing mounting situation into the vehicle. The analysis of friction losses and their dependency on the factors mentioned above is usually conducted by measurements on component test benches to allow an isolated analysis. In contrast, the friction losses of the complete drive system are measured on powertrain or roller test benches. In this context, the factors affecting the losses in wheel bearings deviate from the measurements obtained on component test benches. The purpose of this paper is to analyses the effect
Hartmann, Lukas, Erxleben, Lars, Rebesberger, Ron, Henze, Roman, Sturm, Axel
Model-Based Design and Numerical Analysis of a Downsized Centrifugal Pump for Engine Cooling Applications2025-32-007811/03/2025
The water pump is the crucial component of the engine cooling system. It is usually designed considering as rated conditions the ones evaluated when the engine delivers its maximum power. This results in an overdesign of the pump, considering that almost never the engine delivers the maximum power, in usual operation. At these conditions, in fact, flow rate and pressure delivered reach the maximum values, which are not needed to cool the engine in most probable operating conditions. In fact, considering the real operating conditions during a typical driving mission or a homologation cycle, the mechanical power is far away from the maximum datum, as well as the cooling flow rate and pressure delivered by the pump. To a so unbalanced design for the pump corresponds a low efficiency of it, being the technology oriented to use a centrifugal type, whose efficiency is quite dependent on speed of revolution and flow rate delivered. Hence, modifying the design point of the pump causes a
Di Battista, Davide, Deriszadeh, Ali, Di Prospero, Federico, Di Giovine, Giammarco, Di Bartolomeo, Marco, Fatigati, Fabio, Cipollone, Roberto
RDE Testing of Small Motorcycle in Indian Road Conditions and Study the Impact of Instrumentation on Emission and Fuel Economy2025-32-007511/03/2025
This paper presents measurement results of emissions and fuel economy on real-world driving of two-wheelers in India using a state-of-the-art FTIR PEMS technology. The study aimed to characterize the emissions profiles of a small motorcycle under typical Indian driving conditions, including congested urban traffic and highway driving. This is the continuation of the study conducted previously on bigger motorcycle using gas analyzer [1], with necessary adaptations to suit the specific conditions of Indian roads and traffic. Key parameters such as NOx, CO, CO2 and Fuel consumption were measured during real-world driving cycles and comparison is done with standard WMTC emission testing cycle. The findings of this study provide valuable insights into the actual on-road emissions of two-wheelers in India, which can be used to develop more accurate emission models and guide the development of cleaner and more efficient two-wheeler technologies. Key Considerations: Specifics of Indian Driving
Agrawal, Rahul, Jaswal, Rahul, Yadav, Sachin
Experimental Study on Single Cylinder Diesel Engine Port Water Injection and Blends of Biodiesel for Performance & Emission2025-32-006211/03/2025
The increasing demand for alternative fuels due to environmental concerns has sparked interest in biodiesel as a viable substitute for conventional diesel. Most automotive engines use diesel fuel engines. They contribute a major portion of today’s air pollution, which causes serious health issues including chronic bronchitis, respiratory tract infections, heart diseases, and many more. Greenhouse gases are produced using fossil fuel in the engines and causes global warming. To combat air pollution, we need clean renewable and environmentally friendly fuels. Due to depletion of fossil fuels, it has become necessary to find alternative fuel which are safer for the environment and humankind. One such possible solution is Biodiesel. In present study, series of experiments were carried out on 435cc naturally aspirate DI Diesel engine with port water injection and different blend of Jatropha based Biodiesel. Biodiesel was derived from Jatropha oil, produced using a heterogeneous catalyst
Bhoite, Vikram, Syed, Kaleemuddin, Chaudhari, Sandip, Khairnar, Girish, Jagtap, Pranjal, Reddy, Kameswar
A Simulation Approach for the Impact Assessment of an Axial Flux Traction Motor Applied on Road Electric Vehicle2025-32-007711/03/2025
In the transition towards sustainable mobility, Circular Design principles are crucial. Electric Motors are subject to continuous innovation to improve efficiency, performance density and reduce externalities associated with their production. Therefore, the choice of technological solutions during design phase must guarantee optimal performance and minimal environmental impact throughout the entire product life cycle: production, use, and end-of-life. In the automotive sector, the use phase is particularly critical since the efficiency of the traction system is directly related to total energy consumption during the life cycle and, consequently, to its environmental impact. This research introduces a simulation-based approach to evaluate the use phase of an Axial Flux Electric Motor equipped with Permanent Magnets (AFPM). While providing high performance for electric traction motors, these magnets are composed of Rare Earth Elements (REEs), e.g. Neodymium, classified as Critical Raw
Guadagno, Maurizio, Berzi, Lorenzo, Pugi, Luca, Delogu, Massimo
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
Method for Rapid Prediction of Electric Vehicle Battery Temperature for the Early Design Phase2025-01-041910/07/2025
Thermal management of electric vehicle (EV) battery systems is critical for ensuring optimal performance, user safety, and battery longevity. Existing high-fidelity simulation methods provide detailed thermal profiles, but their computational intensity makes them inefficient for early design iterations or real-time assessments. This paper introduces a streamlined, physics-based one-dimensional transient thermal model coded in MATLAB for efficiently predicting battery temperature behavior under various driving cycles. The model integrates vehicle dynamics to estimate power demands, calculates battery current output and heat generation from electrochemical principles, and determines the battery temperature profile through a 1D conduction model connected to a thermal resistance network boundary condition that incorporates the effect of coolant heat capacity. The model achieved prediction errors below 1% when compared to analytical solutions for conditions of no heat generation and steady
Builes, Isabel, Medina, Mario, Bachman, John Christopher
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
Impact of Range Extender Engine Configuration on Powertrain Performance and Vehicle Integration2025-01-038610/07/2025
The light-duty transportation sector is experiencing a worldwide push towards reduced carbon intensity. One pathway that has been developed focuses on replacing internal combustion engine (ICE)-based vehicles with full-electric battery electric vehicles (BEV), which offer local carbon dioxide (CO2)-free mobility. However, batteries offer a limited mobility range and can require long recharging times, leading to a limited range perception among some vehicle operators. A range-extended electric vehicle (REEV) utilizes a small ICE to mitigate the range concerns of BEVs, while also enabling a battery size reduction with its associated improvements in cost, weight, and manufacturing-related CO2 intensity. A previous study by the authors discussed evaluation criteria for range extender engines (REx) and compared additive technology options to enable cost-, efficiency, or power-optimized REEV applications using a modular approach. This study contrasts the dedicated REx with associated modular
Hoth, Alexander, Marion, Joshua, Silvano, Peter, Peters, Nathan, Pothuraju Subramanyam, Sai Krishna, Bunce, Mike
Real Driving Database for Automotive Drive System Development2025-01-037810/07/2025
Knowledge of real-world driving behavior is fundamental to the development of drive systems. The derivation of representative requirements or driving cycles for use case-specific vehicle use allows a customer-centered drive system design. These datasets contain data such as distance, standstill times, average accelerations or a customer driving style estimation. In addition, the real-world data can be used for regulatory purposes such as the definition of utility factors or the definition of real driving emission cycles. In a research project funded by FVV e.V., we have developed a universal database software including data storage, user interface and general data plausibility functions for real driving data. The database contains detailed time series measurement data on component and vehicle level such as torque and speed of electric motors and internal combustion engines as well as general mobility data such as driving distance statistics. A key objective of the database development
Sander, Marcel, Sturm, Axel Wolfgang, Martínez Medina, Óscar, Henze, Roman, Kühne, Ulf, Eilts, Peter
Optimal Control Strategy for Dual-Motor EVs with CVT: Comparison of Simulation of Steady-State and Dynamic Programming Methods2025-01-040710/07/2025
This study investigates an optimal control strategy for a battery electric vehicle (BEV) equipped with a high-speed motor and a continuously variable transmission (CVT). The proposed dual-motor powertrain model activates only one motor at a time, with Motor A routed through a CVT and Motor B through a fixed gear. To improve energy efficiency, two optimization methods are evaluated: a quasi-steady-state map-based approach and a dynamic programming (DP) method. The DP approach applies Bellman’s principle to derive the globally optimal CVT ratio and motor torque trajectory over the WLTC cycle. Simulation results demonstrate that the DP method significantly improves overall efficiency compared to traditional control logic. Furthermore, the study proposes using DP-derived maps to refine practical control strategies, offering a systematic alternative to conventional experimental calibration.
Zhao, Hanqing, Moriyoshi, Yasuo, Kuboyama, Tatsuya
Simulation Study of Wheel Bearing Friction Losses at Vehicle Level2025-01-039910/07/2025
With the ongoing electrification of vehicles, components contributing a minor share of overall drivetrain losses are coming into focus. Analyzing these losses is crucial for enhancing the energy efficiency of modern vehicles and meeting the increasing demands for sustainability and extended driving range. These components include wheel bearings, whose friction losses are influenced by parameters such as temperature, mechanical loads, and mounting situation. Therefore, it is essential to analyze the resulting friction losses and their dependence on the mentioned influencing parameters at an early stage of development, both through test bench measurements and with the help of simulation models. To achieve these objectives, this submission presents a methodology that combines test bench measurements with a measurement-based simulation of the friction losses of wheel bearings occurring in the vehicle as a complete system under varying driving cycles and parameters. For this purpose, an
Hartmann, Lukas, Sturm, Axel, Henze, Roman, Notz, Fabian
Efficient Construction of Multi-Parameter Driving Cycles for Heavy-Duty Vehicles Through Monte Carlo Tree Search Heuristics02-19-02-000609/18/2025
Assessing the effect of road grade on the performance evaluation and testing of heavy-duty vehicles (HDVs) requires the efficient construction of a high-quality multi-parameter driving cycle of HDVs. However, existing pure random heuristic methods fail to preserve the driving characteristics of the original driving cycles, resulting in poor-quality outputs. In addition, the randomness inherent in multiple heuristic approaches limits the search efficiency. To address these issues, this study proposes a novel Monte Carlo tree search heuristic method (MCTSHM) for efficiently constructing multi-parameter driving cycles of HDVs. First, a satisfactory criterion model was used to design the objective function for the multi-parameter driving cycle, ensuring the evaluation indices satisfy given constraints. Next, heuristics were designed to maintain the dynamic transition characteristics of driving cycles. An improved Monte Carlo tree search was conducted to efficiently select heuristics more
Zhang, Man, Pei, Zhenlong, He, Siyuan, Qian, Xueming
A Novel Simulation Method for Vehicle Brake Wear Emissions2025-01-036109/15/2025
The effective reduction of particulate emissions from modern vehicles has shifted the focus toward emissions from tire wear, brake wear, road surface wear, and re-suspended particulate emissions. To meet future EU air quality standards and even stricter WHO targets for PM2.5, a reduction in non-exhaust particulate (NEP) emissions seems to be essential. For this reason, the EURO 7 emissions regulation contains limits for PM and PN emissions from brakes and tire abrasion. Graz University of Technology develops test methods, simulation tools and evaluates technologies for the reduction of brake wear particles and is involved in and leads several international research projects on this topic. The results are applied in emission models such as HBEFA (Handbook on Emission Factors). In this paper, we present our brake emission simulation approach, which calculates the power at the wheels and mechanical brakes, as well as corresponding rotational speeds for vehicles using longitudinal dynamics
Landl, Lukas, Ketan, Enis, Hausberger, Stefan, Dippold, Martin
Optimum Design and Sizing Approach for a Series-Hybrid Vehicle2025-24-009909/07/2025
The need to reduce pollutant emissions has pushed the automotive industry towards sustainable mobility promoting new technological solutions, among which the use of hybrid powertrains stands out. The development of a hybrid architecture is very complex and demands proper components sizing and the determination of optimized power-split strategies among different power sources, for example: Internal Combustion Engine (ICE), electric generator/motor and batteries. Moreover, the experimental analysis regarding performance and emissions requires that the whole propulsive system must be set up on the test bench, hence, negatively affecting the cost of the entire design phase. In this scenario, an optimum design and sizing approach for a series-hybrid electric vehicle (S-HEV) is proposed aiming at a design cost reduction. The presented procedure relies on numerical modelling of the hybrid powertrain and on the optimization of the fuel consumption and the driving range. The series-hybrid
Lisi, Leonardo, Saponaro, Gianmarco, Episcopo, Domenico, Torresi, Marco, Camporeale, Sergio Mario
Use of Model-Based Datasets and Neural-Networks to Support Real-Time Driving Suggestions System for Components Preservation in Battery Electric Vehicles2025-24-011509/07/2025
Nowadays, Battery Electric Vehicles (BEVs) are considered an attractive solution to support the transition towards more sustainable transportation systems. Although their well-known advantages in terms of overall propulsion efficiency and exhaust emissions, the diffusion of BEVs on the market is still reduced by some technical bottlenecks. Among those, the uncertainty about the expected durability of the vehicle's onboard battery packs plays a key role in affecting customer choice. In this context, this paper proposes the use of model-based datasets for training a driving support system based on machine learning techniques to be installed on board. The objective of this system is to acquire vehicle, environmental, and traffic information from sensor’ networks and provide real-time smart suggestions to the driver to preserve the remaining useful life of vehicle components, with particular reference to the battery pack and brakes. For the generation of the training dataset, first, a set
Bernardi, Mario Luca, Capasso, Clemente, Iannucci, Luigi, Sequino, Luigi
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
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
Multi-Objective Optimization of the Energy Management Strategy for Hybrid Electric Vehicles -Examination of Sensitivities between Fuel Consumption, Electric Driving and Driving Comfort2025-24-010309/07/2025
The combination of the electric drive and the internal combustion engine (ICE) in hybrid electric vehicles (HEV) requires the implementation of an Energy Management Strategy (EMS). The task of the EMS is to split the driving demand between the two energy converters. The design of the EMS in charge-sustaining operation is commonly targeted at the minimization of fuel consumption. For in-vehicle implementation of the EMS, supplementary objectives, such as the electric driving (ED) experience or the driving comfort, influenced by the frequency of state shifts, are considered. Therefore, this work extends the framework for EMS optimization from the fuel-optimal design to multi-objective target spaces. First, the general multi-objective optimal control problem (MOOCP) is formulated. In a next step the central target space for EMS calibration consisting of fuel consumption, ED time and number of ICE starts is considered and the resulting MOOCP is solved using Dynamic Programming (DP). The
Ehrenberg, Bastian, Engbroks, Lukas, Schmiedler, Stefan, Geringer, Bernhard, Hofmann, Peter
Analysis and Simulation of Fuel Consumption and Emissions in a Heavy-Duty Diesel Truck under Real-World Driving Conditions for Hybridization and Waste Heat Recovery2025-24-009609/07/2025
Heavy-duty vehicles contribute significantly to global greenhouse gas emissions and are now facing challenges in meeting emission regulatory standards, particularly cold-start operations. These challenges are particularly significant during transient operations, where fuel efficiency drops and emissions peak due to suboptimal thermal conditions. Advanced powertrains that use hybridization and waste heat recovery with phase-changing materials offer potential pathways to mitigate fuel consumption and emissions under real-world driving conditions. Still, they need to be accurately sized, and the energy flows handled to overcome the disadvantages of increased mass and complexity. This investigation lays the groundwork for the development of advanced power systems by implementing a scalable, map-based model for heavy-duty diesel engines. The model is validated using an open-access dataset related to a heavy-duty vehicle equipped with a 6-cylinder diesel engine, which performed 28 different
Donateo, Teresa, Mujahid, Talha, Morrone, Pietropaolo, Algieri, Angelo
The VERT GPF-Retrofit Program for Cleaner Urban Mobility within the HORIZON Europe AeroSolfd Project2025-24-009509/07/2025
Launched in 2022, AeroSolfd, a HORIZON Europe project, aims to advance clean urban mobility by developing affordable and sustainable retrofit solutions for gasoline vehicles. This three-year initiative addresses not only tailpipe emissions but also brake emissions and pollution in semi-enclosed environments. Within AeroSolfd, the Swiss-based VERT association focuses on reducing tailpipe emissions using state-of-the-art Gasoline Particulate Filter (GPF) technology featuring an uncoated ceramic multicell wall-flow filter. VERT, in partnership with HJS, CPK, BFH, developed and tested a GPF-retrofit system at Technology Readiness Level 8 (TRL 8). Results demonstrate over 99% filtration efficiency for particles smaller than 500 nm on standard cycles (WLTC) and real-world driving cycles (RDE). Forty-two gasoline vehicles (GDI and PFI) were retrofitted with the GPF retrofit across Germany, Switzerland, Israel, and Denmark over a 6 to 8-month operational period. No issues were observed with
Rubino, Lauretta, Mayer, Andreas C., Lutz, Thomas W., Czerwinski, Jan, Larsen, Lars C.
An Artificial Neural Network–Assisted Hybrid Design Approach for Induction Motors in Vehicular Application14-14-03-001708/06/2025
This article presents an artificial neural network (ANN)–based hybrid design methodology for motors used in electric vehicle applications. The proposed method uses ANN to achieve a semi-optimized motor geometry, followed by the drive cycle analysis for the desired vehicle. For this, a large pool of motor design data is used as a training set for the ANN. The semi-optimized motor geometry is further processed for power factor improvement, overall motor efficiency, and electromagnetic noise reduction. The proposed method reduces the overall complexity of the iterative motor design and optimization process. The implementation of the method is demonstrated with a case study wherein a 110 kW three-phase induction motor is designed for an electric bus using the NREL drive cycle. The performance of the motor is verified using a finite element analysis motor using Maxwell ANSYS. The work described in this article was motivated by the complexities of the iterative motor design process, which
Makkar, Yash, Kumar, Rajendra, Sah, Bikash, Kumar, Praveen
Simulation-Based Investigation and its Experimental Validation of the Thermal Behaviour of a Battery Electric City Bus2025-01-026607/02/2025
Electrification of city busses is an important factor for decarbonisation of the public transport sector. Due to its strictly scheduled routes and regular idle times, the public transport sector is an ideal use case for battery electric vehicles (BEV). In this context, the thermal management has a high potential to decrease the energy demand or to increase the vehicles range. The thermal management of an electric city bus controls the thermal behaviour of the components of the powertrain, such as motor and inverters, as well as the conditioning of the battery system and the heating, ventilation, and air conditioning (HVAC) of the drivers’ front box and the passenger room. The focus of the research is the modelling of the thermal behaviour of the important components of an electric city bus in MATLAB/Simscape including real-world driving cycles and the thermal management. The heating of the components, geometry and behaviour of the cooling circuits as well as the different mechanisms of
Schäfer, Henrik, Meywerk, Martin, Hellberg, Tobias
Efficient Automation of Homologation Tests for Active Aerodynamic Components2025-01-027307/02/2025
Wind Tunnels are complex and cost-intensive test facilities. Thus, increasing the test efficiency is an important aspect. At the same time, active aerodynamic elements gain importance for the efficiency of modern cars. For homologation, such active aero-components pose an extra level of test complexity as their control strategies, the relevant drive cycles and their aerodynamics in different positions must be considered for homologation-relevant data. Often, active components have to be manually adjusted between test runs, which is a time-consuming process because the vehicle is not integrated into the test automation. Even if so, designing a test sequence stepping through the individual settings for each component of a vehicle is a tedious task in the test session. Thus, a sophisticated integration of the wind tunnel control system with a test management system, supporting the full homologation process is one aspect of a solution. The other is the integration of the vehicle’s active
Jacob, Jan D.
Enhanced Equivalent Consumotion Minimization Strategy Based on Bayesian Optimization2025-01-019406/16/2025
The Equivalent Consumption Minimization Strategy (ECMS) is an effective approach for managing energy flow in hybrid electric vehicles (HEVs), balancing the use of electric energy and fuel consumption. The strategy’s performance depends heavily on the Equivalent Factor (EF), which governs this trade-off. However, the optimal EF varies under different driving conditions and is influenced by the inherent randomness in factors such as traffic, road gradients, and driving behavior, making it challenging to determine through traditional methods. This paper introduces Bayesian Optimization (BO) as a solution to address the stochastic nature of the EF parameter tuning process. By using a probabilistic model, BO efficiently navigates the complex, uncertain performance landscape to find the optimal EF parameters that minimize fuel consumption and emissions across variable conditions. Simulation results under WLTP cycles show that the proposed method reduces fuel consumption by 0.9% and improves
Zhang, Cetengfei, Zhou, Quan, Jia, Yiqi, Xiong, Lu
Optimal Onboard Battery Charging Strategy for Hotel Load Management in Mild-Hybrid Heavy-Duty Truck02-18-03-001706/12/2025
Heavy-duty trucks idling during the hotel period consume millions of gallons of diesel/fuel a year, negatively impacting the economy and environment. To avoid engine idling during the hotel period, the heating, ventilation, and air-conditioning (HVAC) and auxiliary loads are supplied by a 48 V onboard battery pack. The onboard battery pack is charged during the drive phase of a composite drive cycle, which comprises both drive and hotel phases, using the transmission-mounted electric machine (EM) and battery system. This is accomplished by recapturing energy from the wheels and supplementing it with energy from the engine when wheel energy alone is insufficient to achieve the desired battery state of charge (SOC). This onboard battery pack is charged using the transmission-mounted EM and battery system during the drive phase of a composite drive cycle (i.e., drive phase and hotel phase). This is achieved by recapturing wheel energy and energy from the engine when the wheel energy is
Huang, Ying, Hanif, Athar, Ahmed, Qadeer
A Power Split eCVT Hybrid for Sustainable Urban Mobility2024-32-002904/18/2025
The main drivers for powertrain electrification of two-wheelers, motorcycles and ATVs are increasingly stringent emission and noise limitations as well as the upcoming demand for carbon neutrality. Two-wheeler applications face significantly different constraints, such as packaging and mass targets, limited charging infrastructure in urban areas and demanding cost targets. Battery electric two wheelers are the optimal choice for transient city driving with limited range requirements. Hybridization provides considerable advantages and extended operation limits. Beside efficiency improvement, silent and zero emission modes with solutions allowing fully electric driving, combined boosting enhances performance and transient response. In general, there are two different two-wheeler base categories for hybrid powertrains: motorcycles featuring frame-integrated internal combustion engine (ICE) and transmission units, coupled with secondary drives via chain or belt; and scooters equipped with
Schoeffmann, W., Fuckar, G., Hubmann, C., Gruber, M.
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