来源:Vehicles 发布时间:2026/6/4 13:54:11
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精选文献推荐|电动与智能车辆前沿:从动力系统到用户行为

期刊名称:Vehicles

期刊主页:https://www.mdpi.com/journal/vehicles

随着交通领域加速向低碳化与智能化转型,电动汽车及相关技术已成为当前研究与应用的核心方向之一。本专题精选15篇 Vehicles 期刊近期发表的代表性研究论文,内容涵盖燃料电池与混合动力能量管理、双电机驱动与换挡控制、车辆动力学与稳定性控制,以及城市公交与重型车辆的能耗与生命周期评估等关键方向。同时,相关研究进一步拓展至电动汽车采纳行为与充电基础设施协同演化、复杂城市环境下自动驾驶车辆设计优化,以及基于图论、机器学习与数字孪生的智能建模方法。通过整合真实车队数据、先进仿真平台与多源数据驱动模型,这些工作不仅深化了对电动交通系统性能与效率的理解,也为政策制定与产业应用提供了参考。

1. Dynamic Load Optimization of PEMFC Stacks for FCEVs: A Data-Driven Modelling and Digital Twin Approach Using NSGA-II

燃料电池电动汽车PEMFC堆动态负载优化:基于NSGA-II算法的数据驱动建模和数字孪生方法

https://www.mdpi.com/2624-8921/7/3/96

Sriram, B.; Shirazi, S.; Kalyvas, C.; Ghassemi, M.; Chizari, M. Dynamic Load Optimization of PEMFC Stacks for FCEVs: A Data-Driven Modelling and Digital Twin Approach Using NSGA-II. Vehicles 2025, 7, 96. https://doi.org/10.3390/vehicles7030096

2. Key Performance Indicators for Evaluating Electric Buses in Public Transport Operations

公共交通运营中电动公交车的关键绩效指标

https://www.mdpi.com/2624-8921/7/2/58

Li, X.; Horváth, B.; Winkler, Á. Key Performance Indicators for Evaluating Electric Buses in Public Transport Operations. Vehicles 2025, 7, 58. https://doi.org/10.3390/vehicles7020058

3. Braking Force Coordination Control for In-Wheel Motor Drive Electric Vehicles with Electro-Hydraulic Composite Braking System

轮毂电机驱动电动汽车电液复合制动系统的制动力协调控制

https://www.mdpi.com/2624-8921/7/4/119

Li, H.; Jin, L.; Li, J.; Xiao, F.; Wang, Z.; Zhang, G. Braking Force Coordination Control for In-Wheel Motor Drive Electric Vehicles with Electro-Hydraulic Composite Braking System. Vehicles 2025, 7, 119. https://doi.org/10.3390/vehicles7040119

4. Lyapunov-Based Pitch Control for Electric Vehicles Using In-Wheel Motors

基于李雅普诺夫的电动汽车轮毂电机俯仰控制

https://www.mdpi.com/2624-8921/7/2/37

Valdivieso-Soto, A.; Galluzzi, R.; Tramacere, E.; Cespi, R.; Castellanos Molina, L.M. Lyapunov-Based Pitch Control for Electric Vehicles Using In-Wheel Motors. Vehicles 2025, 7, 37. https://doi.org/10.3390/vehicles7020037

5. Simulation of a City Bus Vehicle: Powertrain and Driving Cycle Sensitivity Analysis Based on Fuel Consumption Evaluation

城市公交车仿真:基于燃油消耗评估的车辆动力系统和驾驶循环敏感性分析

https://www.mdpi.com/2624-8921/7/3/93

Zembi, J.; Cinti, G.; Battistoni, M. Simulation of a City Bus Vehicle: Powertrain and Driving Cycle Sensitivity Analysis Based on Fuel Consumption Evaluation. Vehicles 2025, 7, 93. https://doi.org/10.3390/vehicles7030093

6. Analysis of the Willingness to Shift to Electric Vehicles: Critical Factors and Perspectives

电动汽车转用意愿分析:关键影响因素与研究视角

https://www.mdpi.com/2624-8921/7/4/159

Comi, A.; Crisalli, U.; Hriekova, O.; Idone, I. Analysis of the Willingness to Shift to Electric Vehicles: Critical Factors and Perspectives. Vehicles 2025, 7, 159. https://doi.org/10.3390/vehicles7040159

7. Comprehensive Well-to-Wheel Life Cycle Assessment of Battery Electric Heavy-Duty Trucks Using Real-World Data: A Case Study in Southern California

基于真实车队数据的纯电动重型卡车井到轮生命周期评估:南加州案例研究

https://www.mdpi.com/2624-8921/7/4/162

Penchev, M.; Johnson, K.C.; Raju, A.S.K.; Akinci, T.C. Comprehensive Well-to-Wheel Life Cycle Assessment of Battery Electric Heavy-Duty Trucks Using Real-World Data: A Case Study in Southern California. Vehicles 2025, 7, 162. https://doi.org/10.3390/vehicles7040162

8. LTV-LQG Control for an Energy Efficient Electric Vehicle

面向能效优化的电动汽车LTV-LQG控制方法

https://www.mdpi.com/2624-8921/7/4/113

Pusztai, Z.; Luspay, T.G.; Friedler, F. LTV-LQG Control for an Energy Efficient Electric Vehicle. Vehicles 2025, 7, 113. https://doi.org/10.3390/vehicles7040113

9. Defining the Optimal Characteristics of Autonomous Vehicles for Public Passenger Transport in European Cities with Constrained Urban Spaces

受限城市空间条件下欧洲城市公共客运自动驾驶车辆最优特性的界定

https://www.mdpi.com/2624-8921/7/4/125

Antonya, C.; Tarulescu, R.; Tarulescu, S.; Butnariu, S. Defining the Optimal Characteristics of Autonomous Vehicles for Public Passenger Transport in European Cities with Constrained Urban Spaces. Vehicles 2025, 7, 125. https://doi.org/10.3390/vehicles7040125

10. Modeling and Simulation of an Electric Rail System: Impacts on Vehicle Dynamics and Stability

电气化道路系统的建模与仿真:对车辆动力学与稳定性的影响

https://www.mdpi.com/2624-8921/7/2/36

Shoman, M.; Cerezo, V. Modeling and Simulation of an Electric Rail System: Impacts on Vehicle Dynamics and Stability. Vehicles 2025, 7, 36. https://doi.org/10.3390/vehicles7020036

11. ML-Based Control Strategy for PHEV Under Predictive Vehicle Usage Behaviour

基于机器学习行程预测的插电式混合动力汽车能量管理优化策略

https://www.mdpi.com/2624-8921/7/1/23

Doikin, A.; Korsunovs, A.; Campean, F.; García-Afonso, O.; Agostinelli, E. ML-Based Control Strategy for PHEV Under Predictive Vehicle Usage Behaviour. Vehicles 2025, 7, 23. https://doi.org/10.3390/vehicles7010023

12. Simulative Investigation and Optimization of a Rolling Moment Compensation in a Range-Extender Powertrain

增程式动力系统中滚转力矩补偿的仿真研究与优化

https://www.mdpi.com/2624-8921/7/3/92

Bertrams, O.; Sonnen, S.; Pischinger, M.; Thewes, M.; Pischinger, S. Simulative Investigation and Optimization of a Rolling Moment Compensation in a Range-Extender Powertrain. Vehicles 2025, 7, 92. https://doi.org/10.3390/vehicles7030092

13. A Graph-Theoretic Approach for Exploring the Relationship Between EV Adoption and Charging Infrastructure Growth

基于图论方法的电动汽车采纳与充电基础设施增长关系研究

https://www.mdpi.com/2624-8921/7/2/54

Alrasheedi, F.S.; Ali, H.H. A Graph-Theoretic Approach for Exploring the Relationship Between EV Adoption and Charging Infrastructure Growth. Vehicles 2025, 7, 54. https://doi.org/10.3390/vehicles7020054

14. Redesign of a Lancia Beta HPE with Electric Propulsion Using IDeS and TRIZ Methods

基于IDeS与TRIZ方法的Lancia Beta HPE电动化再设计

https://www.mdpi.com/2624-8921/7/4/131

Giuliani, F.; Frizziero, L.; Donnici, G.; Galiè, G. Redesign of a Lancia Beta HPE with Electric Propulsion Using IDeS and TRIZ Methods. Vehicles 2025, 7, 131. https://doi.org/10.3390/vehicles7040131

15. Efficiency-Oriented Gear Selection Strategy for Twin Permanent Magnet Synchronous Machines in a Shared Drivetrain Architecture

面向效率优化的共享式传动系统双永磁同步电机换挡策略

https://www.mdpi.com/2624-8921/7/4/110

Sándor, T.; Bendiák, I.; Szabolcsi, R. Efficiency-Oriented Gear Selection Strategy for Twin Permanent Magnet Synchronous Machines in a Shared Drivetrain Architecture. Vehicles 2025, 7, 110. https://doi.org/10.3390/vehicles7040110

期刊介绍

期刊名称:Vehicles

期刊主页: https://www.mdpi.com/journal/vehicles

主编:Prof. Dr. Mohammed Chadli, Université Paris-Saclay, France

Vehicles ( ISSN: 2624-8921) 创刊于2019年,最新Impact Factor 2.2,CiteScore 5.3,是MDPI出版的国际性开放获取期刊,聚焦车辆与交通工程领域,涵盖车辆及其工程系统的设计、建模与仿真、电动汽车、自动驾驶、智能交通、车辆设计及能源优化等研究方向。目前已被Scopus、ESCI (Web of Science)、Ei Compendex、CNKI、DOAJ等数据库收录。

2024 Impact Factor
2.2
2024 CiteScore
5.3
Time to First Decision
21.4 Days
Acceptance to Publication
3.4 Days
 
 
 
 
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