Browse Topic: Energy management

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Experimental Evaluation of Purge Strategies in the Recirculation Path of a PEM Fuel Cell System2025-01-0316To be published on 07/02/2025
PEM fuel cell technology plays a vital role in realizing an emission-free mobility and, depend-ing on the considered use case, offers significant advantages over battery electric solutions as well as hydrogen combustion engines. When high performance over a longer period of time as well as short refuelling times are key requirements, fuel cell powertrains show their core strengths. However, the adaption of fuel cells in the mobility sector strongly depends on their efficiency which directly relates to the vehicle’s fuel consumption, range and ultimately cost to operate. Therefore, the influence on efficiency and power of different purge strategies used to operate PEM fuel cells is experimentally investigated and compared. A concentration-dependant purge strategy is developed and examined in reference to a charge-dependant strategy. The concentration-dependent purge strategy manages the purge process based on the measured hydrogen concentration in the anode recirculation path. The
Hauser, Tobias, Allmendinger, Frank
Technical Paper
A New Electrified Planetary Gear Set - The Cost- and Fuel-Efficient Alternative to Continuously Variable Transmissions2025-01-0309To be published on 07/02/2025
In order to mitigate the effects of climate change, the global transport sector, one of the largest emitters of CO2, needs to drastically reduce its emissions. Although hybridization and electrification are becoming increasingly popular as a solution for a variety of applications, their use in two- and three-wheelers, as well as in recreational and powersports vehicles, remains limited due to their high costs and complexity compared to conventional drivetrains with continuously variable transmissions (CVTs). Despite their affordability and simplicity, CVTs suffer from low mechanical efficiency, with transmission losses ranging from 20–50 %, highlighting a significant opportunity for improvement. In response to these limitations, this study presents the development and experimental evaluation of an electrified planetary gear set (ePGS) in a lightweight off-road vehicle. It is designed to overcome the efficiency limitations of CVTs while maintaining high driving comfort and low system
Jakoby, Moritz, Engels, Michael, Fahrbach, Timm, Andert, Jakob
Technical Paper
Improving Speed Trajectory Optimization for Electric Vehicles with Pre-Calculated Energy Maps and Dynamic Profile Discretization2025-01-0318To be published on 07/02/2025
Ongoing research and development in the field of electric vehicles (EVs) have resulted in a continuous expansion of their range. Additionally, advancements in vehicle connectivity have created new opportunities for intelligent driving assistance and energy optimization, particularly through the use of cloud data. However, the integration of eco-driving assistance with numerical optimization of speed trajectories remains challenging due to the high computational demands of these methods. To address this challenge and make such a system feasible for integration into vehicle systems, the computational effort required for an optimized driving trajectory must be minimized. This paper presents a method to accelerate speed trajectory optimization using pre-calculated energy and time consumption maps. For this purpose, a dynamic discretization of the anticipated driving profile is applied. Initial results show a substantial reduction in computation time, varying with different scenarios
Schilling Johnson, Rene, Henke, Markus
Technical Paper
Simulation-Based Investigation and its Experimental Validation of the Thermal Behaviour of a Battery Electric City Bus2025-01-0266To be published on 07/02/2025
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
Technical Paper
Applying Real World Traffic Data on Machine Learning Methods for Graph Based Cooperation Strategies of Automated Vehicles2025-01-0286To be published on 07/02/2025
With the increasing distribution of smart mobility systems, automated & connected vehicles are more and more interacting with each other and with smart infrastructure using V2X-communication. Hereby, the vehicles' position, driving dynamics data, or driving intention are exchanged. Previous research has explored graph-based cooperation strategies for automated vehicles in mixed traffic environments based on current V2X-communication standards. Thereby, the focus is set on cooperation optimization and maneuver negotiation. These strategies can be implemented through both centralized and decentralized computational approaches and are conflict-free by design. To enhance these previously established cooperation models, real-world traffic data is used to derive vehicle trajectories, providing a more accurate representation of actual traffic scenarios in order to enhance the practical application of the described methodology. Additionally, machine learning algorithms are employed to train
Flormann, Maximilian, Meyer, Felix, Henze, Roman
Technical Paper
Investigation on Thermal Management of Heavy-Duty Commercial FCEV with Focus on Vehicle System Efficiency2025-01-0265To be published on 07/02/2025
The primary approach to meet the objectives of the EU Heavy Duty CO2 Regulation involves decarbonizing the road transport sector by battery electric vehicles (BEV) or hydrogen-fueled vehicles. Even though the well-to-wheel efficiency of hydrogen-fueled powertrains like fuel cell electric vehicles (FCEV) and H2-internal combustion engines (H2-ICE) is much lower in comparison to BEV, they are better suited for on-road heavy-duty trucks, long haul transport missions and regions with scarce charging infrastructure. Hence, this paper focuses on heavy-duty FCEVs and their overall energetic efficiency enhancement by intelligently managing energy transfer across coolant circuit boundaries through waste heat recovery, while ensuring that all relevant components remain within required temperature boundaries under both cold and hot ambient conditions. Results were obtained using a 1D-model that comprises all thermal fluid circuits (refrigerant, coolant, air) created through GT-Suite software
Uhde, Sophia, Langhorst, Thorsten, Wuest, Marcel, Naber, Dirk
Technical Paper
Optimized Cabin Heating Strategy for Battery Electric CEP Vehicles2025-01-0263To be published on 07/02/2025
Electromobility is gaining importance in the courier, express and parcel (CEP) sector, as parcel service providers increasingly rely on zero-emission vehicles to improve their CO₂ footprint. A common drawback of battery electric vehicles is their reduced range under cold operating conditions, due to the increased energy demand for cabin heating. Another CEP-specific factor influencing both energy consumption and cabin comfort is the frequent opening of doors during parcel delivery. Additionally, during delivery phases, the cabin cools down in the driver’s repeated absence from the cabin, as the heating is inactive. Nonetheless, a sufficient level of thermal comfort must be maintained during the driving phases between delivery stops. This paper presents an optimization-based strategy for the cabin heating of battery electric CEP vehicles. The objective is to maximize cabin comfort during driving phases while maintaining efficient energy consumption. For this purpose, a nonlinear model
Rehm, Dominik, Krost, Jonathan, Meywerk, Martin, Czarnetzki, Walter
Technical Paper
Modular Thermal Management Framework for Electric Drive System Development2025-01-0262To be published on 07/02/2025
The automotive industry is undergoing a major shift from internal combustion engines (ICE) to hybrid (HEV) and battery-electric vehicles (BEV), which has led to significant advancements and increased complexity in drivetrain design and thermal management systems. This complexity reflects the growing need to optimize energy efficiency, extend vehicle range, and ensure system reliability in modern electric vehicles. At the Institute of Automotive Engineering, a specialized synthesis tool for drivetrain optimization is used to identify the best drivetrain configurations based on specific boundaries and requirements. Building up on this toolchain a modular and adaptable thermal management framework has been developed, addressing another critical aspect of vehicle and drive development: efficient thermal circuit layout and its impact on energy consumption and overall system reliability. The thermal framework emphasizes the dynamic interactions between key components, such as electric
Notz, Fabian, Sturm, Axel, Sander, Marcel, Kässens, Christoph, Henze, Roman
Technical Paper
Effect of Gasoline Component on Fuel Economy of WLTC Drive with EGR and Lean Combustion2025-01-0305To be published on 07/02/2025
It is becoming increasingly clear that research into alternative fuels, including drop-in fuels, is essential for the continued survival of the internal combustion engine. In this study, the authors have evaluated olefinic and oxygenated fuels as drop-in fuels using a single-cylinder engine and considering fuel characteristic parameters. The authors have assessed thermal efficiency by adding the EGR or air from 0 to the maximum value that allows stable combustion. Next, we attempted to predict fuel efficiency for four types of passenger cars (Japanese small K-car N/A, K-car T/C, Series-HV, and Power-split-HV) by changing the fuels. We created a model in OpenModelica to estimate fuel efficiency during WLTC driving. The results indicated that fuel economy could potentially be improved by adding an olefin fuel that burns stably even with a large amount of EGR or air and an oxygen fuel whose octane number increases. It was observed that the fuel economy improvement rate was particularly
Moriyoshi, Yasuo, Xu, Fuguo, Wang, Zhiyuan, Tanaka, Kotaro, Kuboyama, Tatsuya
Technical Paper
Adaptive equivalent consumption minimization strategy based on Bayesian Optimization2025-01-0194To be published on 06/16/2025
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 for the WLTP and Artemis driving cycles demonstrate that the EF parameters optimized with BO
Zhang, Cetengfei, Zhou, Quan, Jia, Yiqi, Xiong, Lu
Technical Paper
Decarbonisation of GDI Engines Utilising On-board Hydrogen Production in an Improved Design Thermochemical Exhaust Assisted Fuel Reformer2025-01-0186To be published on 06/16/2025
Engine intake charge enrichment with hydrogen (H2) is one way to enhance engine thermal efficiency and reduce pollutant emissions while replacing carbon-based fuel. Waste energy from hot exhaust gas can be thermochemically recovered as hydrogen in catalytic exhaust gas fuel reforming, which can then be used in combustion. This study focuses on tailoring the design of the fuel reformer, including the catalyst chemistry and coating on ceramic and metallic structures, to benefit the whole system’s fuel economy and reduce engine out emissions. The main reformer improvements focused on exhaust flow management and interaction with the engine's after-treatment system, while the final stage focused on the reformer's internal design structure. The new design iteration enabled hydrogen production improvements in the range of 78% to 86% in the critical exhaust gas temperature range of 410 oC to 520 oC with gas hourly space velocities (h-1) in highly demanding engine operating conditions ranging
Lee, Seung Woo, Wahbi, Ammar, Herreros, Jose, Zeraati Rezaei, Soheil, Tsolakis, Athanasios, Millington, Paul
Technical Paper
Evaluating the Impact of Displacing Injected Gasoline with Aspirated Ammonia in a Direct Injection Spark Ignition Engine2025-01-0226To be published on 06/16/2025
Replacing fossil fuels with renewable ammonia could provide a crucial step towards the decarbonisation of transport sectors. However, many challenges remain in utilising ammonia within combustion systems: the volumetric energy density of ammonia is significantly lower than that of gasoline, exposure to ammonia (including ammonia slip) can be detrimental to human health, and the production of emissions, including unregulated emissions (such as N2O), from ammonia combustion can be catastrophic for the environment if not treated appropriately. Therefore, there is a need to determine the efficacy of ammonia as a fuel for internal combustion engines and the impact on the efficiency of energy release and the resulting exhaust emissions. A modern spark ignition engine was modified such that ammonia was aspirated through the engine intake air to incrementally displace engine gasoline and maintain a constant work output. It was found that displacing the fuel energy supplied by direct injected
Sivaranjitham, Annaniya Mitchell, Hellier, Paul, Ladommatos, Nicos, Millington, Paul, Alcove Clave, Silvia
Technical Paper
Experimental Investigation of Carbon Nanotube Additives Effect on Performance and Emission of a High-Injection Pressure Common Rail Diesel Engine03-18-03-002005/16/2025
Due to the continuous decrease in fossil fuel resources, and drawbacks of some biofuel properties, in addition to restricted environmental concerns, it becomes a vital manner to innovate some approaches for energy saving and emission reduction. One of the promising approaches is to enhance the fuel properties via adding nanoparticles. Carbon nanotubes (CNTs) blended with biofuels get extensive investigations by researchers using conventional diesel engines at relatively limited operating regimes. The objective of this work is to extend these studies using diesel fuel, rather than biofuels, on a high-injection pressure (1400–1600 bar) common rail diesel engine at wide operating conditions and higher CNT concentrations. Experimental results show an increase in peak pressure up to 24.46% than pure diesel when using 100 ppm CNTs concentration. Also, BSFC has decreased by 33.19%, and BTE increased by 54.2% compared to pure diesel fuel at high speeds and loads. NOx and CO2 emissions raised
Moaayet, Sayed, Neseem, Waleed Mohamed, Amin, Mohamed Ibrahim, Shahin, Motasem Abdelbaky
Journal Article
Experimental Quantitative Analysis of Spray Velocity Field Characteristics of Four Compression-Ignition Engine Oxygenated Alternative Fuels03-18-03-002105/10/2025
As the suitable substitutes for diesel in compression-ignition (CI) piston engines, hydrotreated vegetable oil (HVO), polyoxymethylene dimethyl ethers (PODEs), and bio-aviation fuel (BAF), among other oxygenated alternative fuels have been widely recognized due to higher cetane values. To explore the in-cylinder fuel spray dynamics and subsequent fuel–air entrainment of these fuels, experimental studies on near-field and full-field spray characteristics were carried out by the diffuser back-illumination imaging (DBI) method within a constant-volume chamber. The local velocity was inferred by momentum flux conservation and Gaussian radial profile assumption, and the dimensionless Jet number was introduced to qualify the strength of interaction within two-phase flow. It was found that the initial spray transitions from a “needle” to a larger spray head structure as injection pressure rises, especially with PODE3-5 exhibiting a stable “mushroom” structure due to its higher surface tension
Chen, Houchang, Jiang, Junxin, Hu, Yong, Yu, Wenbin, Zhao, Feiyang
Journal Article
Variable Speed Limit Control Based on Deep Deterministic Policy Gradient under Mixed Traffic Environment12-09-01-000405/06/2025
The existing variable speed limit (VSL) control strategies rely on variable message signs, leading to slow response times and sensitivity to driver compliance. These methods struggle to adapt to environments where both connected automated vehicles (CAVs) and manual vehicles coexist. This article proposes a VSL control strategy using the deep deterministic policy gradient (DDPG) algorithm to optimize travel time, reduce collision risks, and minimize energy consumption. The algorithm leverages real-time traffic data and prior speed limits to generate new control actions. A reward function is designed within a DDPG-based actor-critic framework to determine optimal speed limits. The proposed strategy was tested in two scenarios and compared against no-control, rule-based control, and DDQN-based control methods. The simulation results indicate that the proposed control strategy outperforms existing approaches in terms of improving TTS (total time spent), enhancing the throughput efficiency
Ding, Xibin, Zhang, Zhaolei, Liu, Zhizhen, Tang, Feng
Journal Article
Research on NVH Performance of Pulse Heating System of One Vehicle2025-01-007805/05/2025
When the ambient temperature is too low, the performance of the lithium-ion battery will deteriorate, and the car will have the problems of difficult charging, fast power consumption, and even difficult to start, so the battery needs to be heated before use to provide a comfortable working environment for the lithium-ion. The high-frequency pulse heating system can quickly and evenly raise the temperature of the battery, but there is noise during operation, which affects the NVH performance of the vehicle itself, and its noise comfort needs to be further optimized. Firstly, the high-frequency pulse heating system is discussed in detail, and the parameters affecting the NVH performance are explored. Secondly, NVH tests and subjective and objective evaluations were carried out based on different system parameters, relevant data were collected to establish a model, the influence degree of each parameter was demonstrated, and the best parameter combination was determined. Finally, the
Yun, Zhao, Shouhui, Huang, Hu, Zhongxun, Hui, Hui, Zhou, Changshui, Teng, Charlie
Technical Paper
A Computational Process to Predict and Mitigate Liftgate Gap Noise2025-01-002805/05/2025
This study introduces a computational approach to evaluate potential noise issues arising from liftgate gaps and their contribution to cabin noise early in the design process. This computational approach uses an extensively-validated Lattice Boltzmann method (LBM) based computational fluid dynamics (CFD) solver to predict the transient flow field and exterior noise sources. Transmission of these noise sources through glass panels and seals were done by a well-validated statistical energy analysis (SEA) solver. Various sealing strategies were investigated to reduce interior noise levels attributed to these gaps, aiming to enhance wind noise performance. The findings emphasize the importance of integrating computational tools in the early design stages to mitigate wind noise issues and optimize sealing strategies effectively.
Moron, Philippe, Jantzen, Andreas, Kim, Minsuk, Senthooran, Sivapalan
Technical Paper
Designing and Controlling a Hybrid Fuel Cell System for Propelling a Turboprop Aircraft2025-01-015105/02/2025
In the context of aviation sector decarbonization, fuel cell hybrid electric aircrafts are a promising alternative to conventional fuels, presenting opportunities for more sustainable and efficient flight. Hence, the present work is focused on an alternative powertrain architecture, wherein a proton exchange membrane fuel cell system cooperates with a lithium-ion battery to fulfil the electrical power demand of a turboprop-based aircraft. Particularly, a mathematical tool is proposed to evaluate both the components size and performance, while a degradation aware rule-based control strategy guarantees an effective power split between the hybridizing components. Such an energy management approach introduces an idling level and a rate limiter to mitigate degradation associated with start-up/shut-down and transient phases, respectively. Moreover, to have a reliable estimation of the vehicle’s fuel economy, while also guaranteeing the correct components dimensioning, the fuel cell system
De Donato, Angelo, Aliberti, Paolo, Sorrentino, Marco, Cuomo, Fabrizio, Musto, Carmine
Technical Paper
Model-Based Design and Energy Management of an Aeronautical Proton Exchange Membrane Fuel Cell System2025-01-015005/02/2025
The growing demand for air transport requires efficient and sustainable power systems to meet the pressing need for decarbonizing the sector. A hybrid unit, consisting of a proton exchange membrane fuel cell system and a lithium-ion battery, is a suitable option due to the advantages of reduced gravimetric and volumetric impacts, along with the flexibility of energy management strategies. This work addresses, using a model-based approach, the issue of integrating these electrochemical devices into the aircraft’s electrical architecture considering both design and energy management aspects. A literature derived DC-DC converter bi-dimensional power map is exploited to investigate scenarios differentiated by the fuel cell system power rating and number of stacks working in parallel such that the DC bus line voltage requirements can be respected. These maps relate the converter’s maximum deliverable power to the input and desired output voltage. The combined design and energy management
Aliberti, Paolo, Sorrentino, Marco, Cuomo, Fabrizio, Napolitano, Ciro
Technical Paper
New Study Showcases 3D Photonics with Record Performance for AITBMG-5301305/01/2025
Artificial intelligence (AI) systems promise transformative advancements, yet their growth has been limited by energy inefficiencies and bottlenecks in data transfer. Researchers at Columbia Engineering have unveiled a groundbreaking solution: a 3D photonic-electronic platform that achieves unprecedented energy efficiency and bandwidth density, paving the way for next-generation AI hardware.
Magazine Article
Development of the Mild Hybrid System for Off-Road Machinery2024-32-006704/18/2025
In recent years, the importance of achieving carbon neutrality has been highlighted in response to the escalating severity of climate change. In the leading automobile market, the share of electric vehicles is gradually expanding, especially in passenger car sector. However, it is not same in commercial vehicle sector. In the off-road machinery market, as with electrification in commercial vehicles, the factors such as the need to install charging infrastructure and the requirement for large batteries to expand operating duration are significant challenge to full electrification. As one of the realistic solutions toward carbon neutrality for off-road machines, methods to utilize both internal combustion engines (ICE) and their applied products are being reconsidered. Under the circumstances, we have developed a mild-hybrid (MH) system for small off-road machinery. This system adopts a 48V power supply in order to minimize size of the system offers as a “Drop-in” package solution. This
Koyama, Kazuaki, Kimura, Ryota, Nagamori, Yuko, Horita, Tatsuhiko, Nosaka, Kento
Technical Paper
Development of Cylinder Deactivation Control during Idle for Conventional Engines2024-32-001904/18/2025
This report examines the advancement and utilization of cylinder deactivation technology that enhances fuel efficiency in conventional engines without hardware modifications. It operates by halting fuel supply to some of the cylinders in multi-cylinder engines and increasing the output power of the remaining active cylinders to maintain an idle state. By implementing this technology in the mass-produced 90° V-twin engine, the U502, and deactivating one of its two cylinders, fuel consumption during idling is reduced by over 30%. The focus of this study is on the technology developed to minimize engine speed fluctuations during the transition to cylinder deactivation and reactivation for the engine. By making various modifications to the fuel injection control sequence and optimizing the throttle opening of each cylinder in idle and driving conditions, engine speed fluctuations were minimized. This allows users to reduce fuel consumption while maintaining the engine’s original
YANAGIDA, Shoji
Technical Paper
Development of a High-Frequency Measurement Apparatus for Evaluating Piston Friction in a Small Gasoline Engines2024-32-010004/18/2025
Efforts to enhance fuel efficiency in small gasoline engines, vital for reducing CO2 emissions, are concentrated on minimizing piston friction losses. Achieving this balance while addressing concerns such as piston seizure prevention and minimizing oil consumption presents challenges, particularly in small gasoline engines operating at higher speeds where the risk of piston seizure is significant. Hence, there is a critical need for accurate methods to measure piston friction. This study introduces the development of a measurement apparatus employing the floating liner method, initially devised by Takiguchi [1] and further adapted by Yamasaka for a mono-cylinder air-cooled gasoline engine [2, 3]. Yamasaka’s research successfully investigated the correlation between the apparatus’s natural frequency and the maximum engine speed measurable, achieving piston friction measurement up to 5000 rpm. Expanding on this achievement, this research aims to broaden the application of the floating
Honda, Riku, Ito, Akemi, Saika, Santa, Yamase, Ryouta, Hasegawa, Tatsuhiko, Sakioka, Takeru, Suda, Naoyuki, Ninomiya, Yoshinari
Technical Paper
Studying the Lean Burn Operation in Two-Wheelers to Increase Fuel Efficiency and Investigate the Use of Lean NOx Trap Catalyst (LNT) for Lean Burn System2024-32-005804/18/2025
This study offers an overview of the impact of lean burn technology in two-wheeler vehicles, specifically concentrating on enhancing the fuel economy and addressing the challenges associated with its adoption. Lean burn systems, characterized by a fuel-air mixture with a higher air content than stoichiometric ratio. The study focuses on technology which meets stringent emission standards while enabling the optimization of fuel efficiency. The lean burn system employs strategies to optimize air-fuel ratio using electronic fuel injection, ignition timing control, and advanced engine control algorithms like - updated torque modulation control algorithm for drivability, lambda control algorithm for rich and lean switch and NOx modelling algorithm for LNT catalyst efficiency tracking. The challenges related to lean burn systems, includes issues related to combustion stability, nitrogen oxide (NOx) emissions, and their impact on drivability, is summarized in the study. Mitigation strategies
Somasundaram, Karthikeyan, Sivaji, Purushothaman, John Derin, C, Vishal, Karwa, Manoj Kumar, S, Maynal, Rajesh
Technical Paper
Techniques and Analysis Methods Used in Development of 13.4kW Horizontal Water-Cooled Diesel Engine2024-32-011604/18/2025
Horizontal water-cooled diesel engines are single-cylinder engines equipped with all the necessary components for operation such as a fuel tank and a radiator. Due to their versatility, there are used in a wide range of applications in Asia, Africa, South America, etc. It is necessary to comply with strengthened emissions regulations year by year in countries where environmental awareness is increasing such as China, India, etc. We have developed a new compact and high-power 13.4kW(18HP) engine which meets these needs. We realized a high-power density by using our unique expertise to maintain an engine size and increase a displacement. In addition, by optimizing a layout of crankcase ribs through structural analysis, we have achieved a maximum bore and “Reduction of the weight of the crankcase and lubricating oil consumption (LOC), and reduction of friction with narrow-width low-tangential load piston rings”. Furthermore, by designing an intake port using 3D CFD, we have optimized a
Shiomi, Kenta, Hosoya, Ryosuke, Komai, Yoshinobu, Takashima, Yusuke, Kitamura, Takahiro, Fujiwara, Tsukasa, Suematsu, Kosuke
Technical Paper
A Concept for Functional Modelling of an E-Bike Powertrain2024-32-001704/18/2025
The increasing popularity of e-bikes, especially pedelecs, has led to a growing interest in consideration of e-bike cycling. To achieve a deeper understanding on the process of e-bike cycling and in particular the effects on the rider it can be instrumental to use simulation methods. In this context, the e-bike drive system and its function are of central importance for e-bikes. Therefore, this work proposes a functional modeling of the powertrain of an e-bike with a mid-drive motor, considering legal constraints and support functionalities. The model incorporates the mechanical transmission between pedals, motor, and crank shaft, allowing for a detailed analysis of the e-bike’s performance. Additionally, the support mechanism is depicted, where an electric motor amplifies the rider’s pedaling torque. The electrical behavior of the motor, energy consumption, and battery state of charge are also integrated into the model. This comprehensive approach aims to provide a generic
Rauch, Yannick, Kettner, Maurice, Kriesten, Reiner
Technical Paper
Experiment Characterization and Simulation Analysis of a Lithium-Ion Battery in Different Ambient Conditions2025-01-502804/15/2025
A great number of performances of an electric vehicle such as driving range, powering performance, and the like are affected by its configured batteries. Having a good grasp of the electrical and thermal behavior of the battery before the detailed design stage is indispensable. This paper introduces an experiment characterization method of a lithium-ion battery with a coolant system from cell level to pack level in different ambient conditions. Corresponding cell and pack simulation models established in AMESim that aimed to capture the electrical and thermal features of the battery were also illustrated, respectively. First, the capacity test and hybrid pulse power characterization (HPPC) test were conducted in a thermotank to acquire basic data about the battery cell. Next, based on acquired data, first-order equivalent circuit model (1C-ECM) was built for the battery cell and further combined with environmental boundary conditions to check the simulation accuracy. Then, hybrid
Zhou, Shuai, Liu, Huaiju, Yu, Huili, Yan, Xu, Yan, Junjie
Technical Paper
Adapting Basic On-Road Data to the Heavy Heavy-Duty Diesel Truck Schedule for Guiding the Electrification of Long-Haul Truck Transport14-14-02-001104/10/2025
Heavy heavy-duty diesel truck (HHDDT) drive cycles for long-haul transport trucks were developed over 20 years ago and have a renewed relevance for performance assessment and technical forecasting for transport electrification. In this study, a model was constructed from sparse data recorded from the real-life on-road activity of a small fleet of class 8 trucks by fitting them into separate driving-type segments constituting the complete HHDDT drive cycle. Detailed 1-s resolution truck fleet raw data were also available for assessing the drive cycle model. Numerical simulations were conducted to assess the model for trucks powered by both 1.0 MW charging and 300 kW-level e-Highway, accounting for elevation and seasonally varying climate conditions along the Windsor–Quebec City corridor in Canada. The modeling approach was able to estimate highway cruising speeds, energy efficiencies, and battery pack lifetimes normally within 2% of values determined using the detailed high-resolution
Darcovich, Ken, Ribberink, Hajo, Soufflet, Emilie, Lauras, Gaspard
Journal Article
Predictive Battery Thermal Management System Control Strategy and Simulation in Electric Vehicle2025-01-502704/03/2025
With the global issue of fossil fuel scarcity and the greenhouse effect, interest in electric vehicles (EVs) has surged recently. At that stage, because of the constraints of the energy density and battery performance degradation in low-temperature conditions, the mileage of EVs has been criticized. To guarantee battery performance, a battery thermal management system (BTMS) is applied to ensure battery operates in a suitable temperature range. Currently, in the industry, a settled temperature interval is set as criteria of positive thermal management activation, which is robust but leads to energy waste. BTMS has a kilowatt-level power usage under high- and low-temperature environments. Optimizing the BTMS control strategy becomes a potential solution to reduce energy consumption and overcome mileage issues. An appropriate system simulation model provides an effective tool to evaluate different BTMS control strategies. In this study, a predictive BTMS control strategy, which adjusts
Huang, Zhipei, Chen, Jiangbo, Tang, Hai
Technical Paper
Learning-Based Energy Management Strategy of Fuel Cell City Buses Considering Power Source Degradation02-18-02-001204/02/2025
Fuel cell vehicles (FCVs) offer a promising solution for achieving environmentally friendly transportation and improving fuel economy. The energy management strategy (EMS), as a critical technology for FCVs, faces significant challenges of achieving a balanced coordination among the fuel economy, power battery life, and durability of fuel cell across diverse environments. To address these challenges, a learning-based EMS for fuel cell city buses considering power source degradation is proposed. First, a fuel cell degradation model and a power battery aging model from the literature are presented. Then, based on the deep Q-network (DQN), four factors are incorporated into the reward function, including comprehensive hydrogen consumption, fuel cell performance degradation, power battery life degradation, and battery state of charge deviation. The simulation results show that compared to the dynamic programming–based EMS (DP-EMS), the proposed EMS improves the fuel cell durability while
Song, Dafeng, Yan, Jinxing, Zeng, Xiaohua, Zhang, Yunhe
Journal Article
Systematic Predictive Energy Management Algorithm Testing in MIL/SIL with Realistic Traffic Simulation2025-01-858304/01/2025
Energy management strategy is essential for HEV’s to achieve an optimum of energy consumption. With predictive energy management, taking future vehicle speed predicted from ADAS map information, in-vehicle navigation traffic flow status information, and current speed into account, one could anticipate a considerable improvement in energy-saving. The major validating approach widely adopted for energy management algorithms nowadays is real-world vehicle testing, of which the economic and time costs are relatively high. Moreover, with advanced algorithms featuring AI coming into light, putting forward higher requirement in the richness of test cases, the drawback in coverage of vehicle testing is revealed. This paper proposed a MIL/SIL testing approach for predictive energy management algorithms, providing a partial replacement to, and overcome the limitations of, vehicle testing. In the testing setup, random traffic generated by MATLAB® based on real-time traffic condition will be taken
Yan, Yue, Ma, Xiudan, Wei, Xinli, Xiong, Jie, Deng, Yunfei, Bradfield, Donald Edward
Technical Paper
A 3-D CFD Performance Simulation of a Feedback Controlled Variable Displacement Vane Pump2025-01-817904/01/2025
Variable Displacement Vane Pumps (VDVPs) are widely used in lubrication systems for engines, transmissions, and electric drive units. This study presents a Computational Fluid Dynamics (CFD) analysis of a rotational VDVP, coupled with an Oil Control Valve (OCV), to establish a feedback loop that regulates the eccentricity of the cam ring, and consequently, the pump’s outlet flow rate. In previous studies, Simerics-MP+ has been successfully utilized to model the VDVP without considering the OCV’s effect. The OCV consists of a solenoid valve coupled with a spring-loaded spool valve. Due to the absence of the actual valve geometry, the valve behavior in the CFD model is represented by a 2-D table that correlates the control chamber flow rate with both the supply and control pressures. The eccentricity of the cam ring is determined through an iterative process, balancing fluid torques from the vane chamber pressures and control chamber pressure, along with the spring torque. Simulation
Khatri, Rachit Rajesh, Liu, Yuchan, Pasunurthi, Shyam Sundar, Ahmed, Rayhan, Stallmann, John, Yang, Bo, Huang, Yuli, Sivaji, Rangarajan, Scheffler, David
Technical Paper
Safe and Energy-Efficient Quasi-Solid Battery for Electric Vehicles and DevicesTBMG-5279604/01/2025
Technological advances have led to the widespread use of electric devices and vehicles. These innovations are not only convenient but also environmentally friendly, offering an alternative to polluting fuel-driven machines. Lithium-ion batteries (LIBs) are widely used in electrical appliances and vehicles. Commercial LIBs comprise an organic electrolyte solution, which is considered indispensable to make them energy efficient. However, ensuring safety becomes a concern and may be difficult to achieve with the rising market demand.
Magazine Article
Model-Predictive Control for Heat Pump-Based Battery Thermal Management in Off-Road Autonomous Electrified Vehicles During Transient Operation2025-01-818404/01/2025
The shift towards hybrid and electric powertrains in off-road vehicles aims to enhance mobility, extend range, and improve energy efficiency. However, heat pump-based battery thermal management systems in these vehicles continue to consume significant energy, impacting overall range and efficiency. Effective thermal management is essential for maintaining battery performance and safety, particularly in extreme conditions. Although high-fidelity models can capture the complex dynamics of heat pumps, real-time control within model-based optimization frameworks often depends on simplified models, which can degrade system performance. To address this, we propose a novel data-driven grey box control-oriented model (COM) that accurately represents the thermal dynamics of a vapor-compression refrigeration-based heat pump system. This COM is integrated into a model-predictive control (MPC) framework, optimizing thermal management during transient and burst-power operations of the battery pack
Sundar, Anirudh, Ghate, Atharva, Zhu, Qilun, Prucka, Robert, Ruan, Yeefeng, Figueroa-Santos, Miriam, Barron, Morgan
Technical Paper
Smart Boosting: A Control Strategy for Optimized Energy Management with Boost Converter in Hybrid Electric Vehicles2025-01-858004/01/2025
In hybrid electric vehicles (HEVs), optimizing energy management and reducing system losses are critical for enhancing overall efficiency and performance. This paper presents a novel control strategy for the boost converter in hybrid electric vehicles (HEVs), aimed at minimizing energy losses and optimizing performance by modulating to a higher boost converter voltage only when necessary. Traditional approaches to boost converter control often lead to unnecessary energy consumption by maintaining higher voltage levels even when not required. In contrast, the proposed strategy dynamically adjusts the converter's operation based on real-time vehicle demands, such as driver input, Engine Start-Stop (ESS) events, Active Electric Motor Damping (AEMD), entry and exit transitions for Engine Fuel Cut-Off (DFCO), Noise-Vibration-Harshness (NVH) events like lash-zone crossing and other specific operational conditions. The control strategy leverages predictive algorithms and real-time monitoring
Basutkar, Ameya, Huo, Shichao, Sullivan, Claire, Berger, Daniel, Tischendorf, Christoph
Technical Paper
Energy Price Sensitivity and Cost Analysis of Battery Electric and Fuel Cell Powertrains for Class 8 Heavy-Duty Trucks in Real-World Scenarios: A 2024, 2035, and 2050 Perspective2025-01-859204/01/2025
This study evaluates the performance of alternative powertrains for Class 8 heavy-duty trucks under various real-world driving conditions, cargo loads, and operating ranges. Energy consumption, greenhouse gas emissions, and the Levelized Cost of Driving (LCOD) were assessed for different powertrain technologies in 2024, 2035, and 2050, considering anticipated technological advancements. The analysis employed simulation models that accurately reflect vehicle dynamics, powertrain components, and energy storage systems, leveraging real-world driving data. An integrated simulation workflow was implemented using Argonne National Laboratory's POLARIS, SVTrip, Autonomie, and TechScape software. Additionally, a sensitivity analysis was performed to assess how fluctuations in energy and fuel costs impact the cost-effectiveness of various powertrain options. By 2035, battery electric trucks (BEVs) demonstrate strong cost competitiveness in the 0-250 mile and 250-500 mile ranges, especially when
Mansour, Charbel, Bou Gebrael, Julien, Kancharla, Amarendra, Freyermuth, Vincent, Islam, Ehsan Sabri, Vijayagopal, Ram, Sahin, Olcay, Zuniga, Natalia, Nieto Prada, Daniela, Alhajjar, Michel, Rousseau, Aymeric, Borhan, Hoseinali, El Ganaoui-Mourlan, Ouafae
Technical Paper
Lattice Based Localized Energy Absorber for Improved Vulnerable Road User Performance for a Vehicle2025-01-872304/01/2025
A passenger vehicle hood is designed to meet Vulnerable Road User (VRU) regulatory requirements and consumer metric targets. Generally, hood inner design and its reinforcements, along with deformable space available under the hood are the main enablers to meet the Head Impact performance targets. However, cross functional balancing requirements, such as hood stiffness and packaging space constraints, can lead to higher Head Injury Criteria (HIC15) scores, particularly when secondary impacts are present. In such cases, a localized energy absorber is utilized to absorb the impact energy to reduce HIC within the target value. The current localized energy absorber solutions include the usage of flexible metal brackets, plastic absorbers etc. which have limited energy absorbing capacity and tuning capability. This paper focuses on usage of a novel 3D printed energy absorbers, based on various kinds of lattice structures. These absorbers are either sandwiched between the inner and the outer
Kinila, Vivekananda, Agarwal, Varun, V S, Rajamanickam, Tripathy, Biswajit, Gupta, Vishal
Technical Paper
The Development and Real-Time Application of DP-Based Optimized A-ECMS Algorithm for Multi-Mode Series-Parallel Hybrid Electric Vehicles2025-01-858904/01/2025
The hybrid electric drive system has the potential to make a significant contribution to the energy sustainability of the automotive industry. This paper investigates the improved adaptive equivalent consumption minimization strategy (A-ECMS) for a multi-mode series-parallel hybrid electric vehicle. First, a basic ECMS algorithm for the series-parallel vehicle is established, which considers the instantaneous optimal torque matching in the electric, serial hybrid, and engine driving modes. Under the condition that the future traffic information scenario is known, it is desired to realize the global optimal planning based on the combination of dynamic programming (DP) and ECMS. The SOC, engine speed, and torque results calculated by the DP strategy are used as benchmarks to develop the improved SOC-AECMS and S-AECMS strategies, which better incorporate the advantages of the global optimization results. Finally, a hardware-in-the-loop simulation platform is set up to validate the real
Zhu, Jingyu, Han, Mengwei, Liu, Chongfan, Yang, Chenfan, Nishida, Keiya
Technical Paper
Comprehensive Gear Shift Schedule of Heavy-Duty Commercial Electric Trucks Based on Dual Axle Driving2025-01-851004/01/2025
A heavy-duty commercial electric truck is equipped with dual axles, with the middle axle driven by an electric motor and a three-speed transmission and the rear axle driven by an electric motor and a two-speed transmission. To consider the dynamic and economy performance of the whole vehicle, as well as the gear distribution characteristics in the vehicle operation, a comprehensive shifting schedule based on the cross-particle swarm algorithm is proposed. By establishing the longitudinal dynamics model of the truck, the optimal power shift schedule and the optimal economics shift schedule of each of the two transmissions are studied. Under the standard test conditions, an optimal gear control strategy based on the dynamic programming algorithm considering the shift interval is proposed, and the shift schedule for the standard conditions is derived through the hierarchical clustering method. Furthermore, with 0-100 km/h acceleration capability and specific energy consumption as the
Guo, Jun, Zhang, Yunqing, Wu, Jinglai
Technical Paper
Research on the Control Strategy of Permanent Magnet Synchronous Motors with Reduced Rotor Stack Length in Hybrid System2025-01-856304/01/2025
The key issue in the electromagnetic design of permanent magnet synchronous motors is the design of the rotor structure form of the motor. To achieve the goal of reducing the cost of the motor, this paper conducts electromagnetic design, optimal control calibration of the motor, and performance analysis for reducing the rotor lamination structure, and obtains the characteristics of the permanent magnet synchronous motor under this rotor structure. For the permanent magnet synchronous motor with reduced rotor stack length and one less motor temperature sensor, starting from vector control, the conditions for obtaining the maximum electromagnetic torque and the highest rotational speed are derived. Based on these conditions, the vector control strategies for the system operating under different working conditions are designed. At low speeds, the thermal loss of the stator winding is reduced with the maximum torque current ratio to improve the motor efficiency; as the rotational speed of
Jing, Junchao, Zhang, Junzhi, Yu, Pengfei, Liu, Yiqiang, Chen, Yingchao, Dai, Zhengxing
Technical Paper
European Initiatives Addressing High Efficiency and Low-Cost Electric Motors for Circularity and Low use of Rare Resources2025-01-880604/01/2025
The automotive industry is amidst an unprecedented multi-faceted transition striving for more sustainable passenger mobility and freight transportation. The rise of e-mobility is coming along with energy efficiency improvements, greenhouse gas and non-exhaust emission reductions, driving/propulsion technology innovations, and a hardware-software-ratio shift in vehicle development for road-based electric vehicles. Current R&D activities are focusing on electric motor topologies and designs, sustainability, manufacturing, prototyping, and testing. This is leading to a new generation of electric motors, which is considering recyclability, reduction of (rare earth) resource usage, cost criticality, and a full product life-cycle assessment, to gain broader market penetration. This paper outlines the latest advances of multiple EU-funded research projects under the Horizon Europe framework and showcases their complementarities to address the European priorities as identified in the 2Zero
Armengaud, Eric, Ratz, Florian, Muñiz, Ángela, Poza, Javier, Garramiola, Fernando, Almandoz, Gaizka, Pippuri-Mäkeläinen, Jenni, Clenet, Stéphane, Messagie, Maarten, D’amore, Lea, Lavigne Philippot, Maeva, Rillo, Oriol, Montesinos, Daniel, Vansompel, Hendrik, De Keyser, Arne, Romano, Claudio, Montanaro, Umberto, Tavernini, Davide, Gruber, Patrick, Ran, Liaoyuan, Amati, Nicola, Vagg, Christopher, Herzog, Matic, Weinzerl, Martin, Keränen, Janne, Montonen, Juho
Technical Paper
Energy-Efficient Maneuvering of Connected and Automated Vehicles: NEXTCAR Phase II Results2025-01-838504/01/2025
Onboard sensing and Vehicle-to-Everything (V2X) connectivity enhance a vehicle's situational awareness beyond direct line-of-sight scenarios. A team led by Southwest Research Institute (SwRI) demonstrated 20% energy savings by leveraging these information streams on a 2017 Prius Prime as part of the first phase of the ARPA-E-funded NEXTCAR program. Combining this technology with automation can improve vehicle safety and enhance energy efficiency further. In the second phase, SwRI demonstrated 30% energy savings over the baseline. This paper summarizes the efforts to achieve 30% savings on a 2021 Honda Clarity PHEV. The vehicle was outfitted with the SwRI Ranger automated driving suite for perception and localization. Model-based control schemes with selective interrupt and control (SIC) were used to override stock vehicle controls and actuate the accelerator, brake, and electric power steering system, enabling drive-by-wire and steer-by-wire functionalities. Key algorithms contributing
Bhagdikar, Piyush, Gankov, Stanislav, Sarlashkar, Jayant, Hotz, Scott, Rajakumar Deshpande, Shreshta, Rengarajan, Sankar, Adsule, Kartik, Drallmeier, Joseph, D'Souza, Daniel, Alden, Joshua, Bhattacharjya, Shuvodeep
Technical Paper
European Initiatives for User-Centric Design of Electric Vehicles2025-01-880704/01/2025
E-mobility is revolutionizing the automotive industry by improving energy-efficiency, lowering CO2 and non-exhaust emissions, innovating driving and propulsion technologies, redefining the hardware-software-ratio in the vehicle development, facilitating new business models, and transforming the market circumstances for electric vehicles (EVs) in passenger mobility and freight transportation. Ongoing R&D action is leading to an uptake of affordable and more energy-efficient EVs for the public at large through the development of innovative and user-centric solutions, optimized system concepts and components sizing, and increased passenger safety. Moreover, technological EV optimizations and investigations on thermal and energy management systems as well as the modularization of multiple EV functionalities result in driving range maximization, driving comfort improvement, and greater user-centricity. This paper presents the latest advancements of multiple EU-funded research projects under
Ratz, Florian, Bäuml, Thomas, Kompara, Tomaž, Kospach, Alexander, Simic, Dragan, Jan, Petra, Möller, Sebastian, Fuse, Hiroyuki, Parades Barros, Esteban, Armengaud, Eric, Amati, Nicola, Sorniotti, Aldo, Lukesch, Walter
Technical Paper
Optimization Method of Phase Change Energy Storage Device for Electric Vehicle Batteries based on Numerical Simulation2025-01-860304/01/2025
Phase change energy storage devices are extensively utilized in latent heat thermal energy storage and hold significant potential for application in the thermal management of automotive batteries. By harnessing the high-density energy storage capabilities of phase change materials to absorb heat released by the batteries, followed by timely release and utilization, there is a substantial improvement in energy efficiency. However, the thermal conductivity of medium and low temperature phase change materials is poor, leading to its inefficient utilization. This paper focuses on optimizing the structure of a phase change heat exchanger in a phase change energy storage device to improve its performance. A basic design of the phase change heat exchanger is used as an example, and fin structure is added to enhance its heat exchange capabilities. A predictive surrogate model is built using numerical simulation, with the dimension and number of fins as design variables, and heat flow density
Zhang, Haonan, Sun, Mingzhe, Zheng, Haoyun, Zhang, Tianming
Technical Paper
Configuration Design of Multi-Gear Power-Split Hybrid Systems Based on Topological Tree Graphs2025-01-837904/01/2025
Energy efficient configuration schemes are critical to the fuel economy and power of hybrid vehicles. Single planetary gear (PG) configurations are highly integrated, simple and reliable, but have limited fuel saving potential. To overcome these problems, a new multi-gear power split (PS) powertrain has been proposed because of their high efficiency and excellent overall performance. Only one PG and one synchronizer are required. In order to systematically explore all possible designs of multi-gear-PS hybrid designs, this paper proposes a topological tree graph method: 1) inspired by the “D” matrix automatic modeling method, a new configuration tree matrix is proposed, which is used to complete the isomorphism determination, mode feature classification, and dynamics modeling; a design synthesis method for the multi-gear PS configuration is investigated; 2) A new near-optimal energy management strategy, the improved Rapid-DP (IR-DP), is proposed for the fast computation of the near
Zou, Yunge, Zhang, Yuxin, Yang, Yalian
Technical Paper
Verification of the Impact of Coefficient of Drag Variation Due to Natural Wind on Fuel Consumption Based on Actual Driving Data2025-01-877804/01/2025
The natural wind experienced on public roads can increase the yaw angle and therefore drag coefficient (CD), which may contribute to the discrepancy between catalog fuel economy and actual fuel economy. The impact of yaw characteristics alone on fuel economy during actual driving has not been verified or proven as it is difficult to obtain actual driving data under uniform conditions. For this reason, shape optimization is normally performed at zero-yaw through the aerodynamic development phases. In this paper, two vehicles with different yaw sensitivity characteristics are driven simultaneously, and fuel economy measurements are performed simultaneously with ambient airflow, environment, and vehicle conditions. The results where the conditions of the two vehicles match are extracted to clarify the impact of the differences of yaw characteristics on fuel economy. The obtained results matched the values predicted by theoretical calculations for the impact of yaw angle on fuel economy
Onishi, Yasuyuki, Nichols, Larry, Metka, Matt, masumitsu, Yasutaka, Inoue, Taisuke
Technical Paper
An Investigation of the Inter-Vehicle Distances and Lateral Offsets on Aerodynamic Forces and Wake Structures of Vehicles Platooning2025-01-876904/01/2025
In traffic scenarios, the spacing between vehicles plays a key role, as the actions of one vehicle can significantly impact others, particularly with regards to energy conservation. Accordingly, modern vehicles are equipped with inter-vehicle communication systems to maintain specific distances between vehicles. The aerodynamic forces experienced by both leading vehicles (leaders) and following vehicles (followers) are connected to the flow patterns in the wake region of the leaders. Therefore, improving our understanding of the turbulent characteristics associated with vehicles platooning is important. This paper investigates the effects of inter-vehicle distances on the flow structure of two vehicles: a small SUV as the leader and a larger light commercial van as the follower, using a Delayed Detached Eddy Simulation (DDES) CFD technique. The study focuses on three specific inter-vehicle distances: S = 0.28 L, 0.4L, and 0.5L, where S represents the spacing between the two vehicles
Mosavati, Maziar, Guzman, Arturo, Lounsberry, Todd, Fadler, Gregory
Technical Paper
On-Road Investigation of Energy Saving Opportunity for Autonomous Light-Duty Vehicles through Automated Vehicle-Following in Safe Distance Scenarios2025-01-802904/01/2025
Reducing aerodynamic drag through Vehicle-Following is one of the energy reduction methods for connected and automated vehicles with advanced perception systems. This paper presents the results of an investigation aimed at assessing energy reduction in light-duty vehicles through on-road tests of reducing the aerodynamic drag by Vehicle-Following. This study provides insights into the effects of lateral positioning in addition to intervehicle distance and vehicle speed, and the profile of the lead vehicle. A series of tests were conducted to analyze the impact of these factors, conducted under realistic driving conditions. The research encompasses various light-duty vehicle models and configurations, with advanced instrumentation and data collection techniques employed to quantify energy-saving potential. The study featured two sets of L4 capable light duty vehicles, including the Stellantis Pacifica PHEV minivan and Stellantis RAM Truck, examined in various lead and following vehicle
Poovalappil, Aman, Robare, Andrew, Schexnaydre, Logan, Santhosh, Pruthwiraj, Bahramgiri, Mojtaba, Bos, Jeremy P., Chen, Bo, Naber, Jeffrey, Robinette, Darrell
Technical Paper
Powertrain Components Aging Model Selection for Energy Efficient Vehicles: Selection Strategy and Challenges2025-01-854104/01/2025
The long-term performance of powertrain components in energy-efficient vehicles, particularly in Class 8 heavy-duty applications, is crucial for sustaining energy efficiency. However, these components degrade over time, impacting performance and highlighting the need for appropriate aging models to estimate the impact of aging. This study aims to identify and select appropriate aging models for two critical powertrain components: battery and electric machine. Through a comprehensive literature review, the primary aging processes, key influencing factors, and available aging models for these components are identified. A selection matrix is established, considering the model complexity, the model accuracy, and the volume of data required while maintaining the desired precision for the powertrain component models. Based on the selection matrix, an appropriate battery aging model is chosen for the vehicle’s battery. This model was selected for its ability to effectively capture the aging
Rownak, Md Ragib, Hanif, Athar, Ahmed, Qadeer, Fahim, Muhammad Qaisar, Anwar, Hamza, Li, Hui, Le, Dat, Nelson, Matthew
Technical Paper
Activity and Performance of Zero and Near-Zero Emissions Port Equipment for Emissions Reduction in the Maritime Sector2025-01-853904/01/2025
Marine ports are an important source of emissions in many urban areas, and many ports are implementing plans to reduce emissions and greenhouse gases using zero-emission cargo handling equipment. This paper evaluates the performance and activity profiles for various zero-emission (ZE) cargo transport equipment being demonstrated at different ports in California. This included 23 battery-electric (BE) 8,000 lb. (8K) and 36,000 lb. (36K) forklifts, a BE railcar mover, and an electrified rubber-tired gantry crane (eRTG). The study focused on evaluating the performance of the ZE equipment in terms of activity patterns and the potential emissions reductions. Data loggers were used to collect activity data, including hours of use, energy consumption, and charging information over periods from 6 to 21 months. The results showed that the BE forklifts, BE railcar mover, and the eRTG averaged 2-3 hours, 5 hours, and 14 hours of use per day of operation, respectively. The average energy use for
Frederickson, Chas, Vu, Alexander, Makki, Maedeh, Johnson, Kent, Durbin, Thomas, Burnette, Andrew, Huang, Eddy, Alvarado, Erica, Rao, Leela
Technical Paper
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