Research output per year
Research output per year
Personal profile
Personal profile
Title
(Professional Title)
Research Professor
√ Doctoral Supervisor √ Master's Supervisor
Colleges and Majors
(Department)
School of Mechanical and Vehicle Engineering: Vehicle Engineering, Electrical Engineering
(School of Mechanical Engineering)
Office Address
(Office Address)
701, Building 5, National Defense Science and Technology Park, Beijing University of Technology
(701, Building 5, University Technological Park, Beijing Institute of Technology, Haidian District, Beijing 100081, China)
Zip Code
(Post Code)
100081
Office Phone
(Telephone)
+86-18514631856
By mail
(Email)
lei_zhang@bit.edu.cn
(Professional Title)
Research Professor
√ Doctoral Supervisor √ Master's Supervisor
Colleges and Majors
(Department)
School of Mechanical and Vehicle Engineering: Vehicle Engineering, Electrical Engineering
(School of Mechanical Engineering)
Office Address
(Office Address)
701, Building 5, National Defense Science and Technology Park, Beijing University of Technology
(701, Building 5, University Technological Park, Beijing Institute of Technology, Haidian District, Beijing 100081, China)
Zip Code
(Post Code)
100081
Office Phone
(Telephone)
+86-18514631856
By mail
(Email)
lei_zhang@bit.edu.cn
Research Interests
一、一作/通讯期刊论文（Journal papers）
[1] Z. Zhang, L. Zhang, J. Deng, M. Wang, Z. Wang, D. Cao. An Enabling Trajectory Planning Scheme for Lane Change Collision Avoidance on Highways, IEEE Transactions on Intelligent Vehicles, 8 (1): 147-158, 2023. (IF: 8.2)
[2] J. Liu, Z. Wang, L. Zhang. Efficient Eco-Driving Control for EV Platoons in Mixed Urban Traffic Scenarios Considering Regenerative Braking, IEEE Transactions on Transportation Electrification, DOI: 10.1109/TTE.2023.3305773, 2023. (IF: 7.0)
[3] L. Zhang, P. Guo, Z. Wang, X. Ding. An Enabling Tire-Road Friction Estimation Method for Four-In-Wheel-Motor-Drive Electric Vehicles, IEEE Transactions on Transportation Electrification, DOI: 10.1109/TTE.2022.3231707, 2023. (IF: 7.0)
[4] C. Wang, Z. Wang, L. Zhang, H. Yu, D. Cao. Post-impact motion planning and tracking control for autonomous vehicles, Chinese Journal of Mechanical Engineering 35 (1), 54, 2022. (IF: 4.2)
[5] J. Liu, Z. Wang, L. Zhang. Integrated Vehicle-Following Control for Four-Wheel-Independent-Drive Electric Vehicles Against Non-ideal V2X Communication, IEEE Transactions on Vehicular Technology, 71 (4), 3648-3659, 2022. (IF: 6.8)
[6] Z. Wang, X. Ding, L. Zhang, Chassis coordinated control for full x-by-wire four-wheel-independent-drive electric vehicles, IEEE Transactions on Vehicular Technology 72 (4), 4394-4410, 2022. (IF: 6.8)
[7] L. Zhang, Z. Zhang, Z. Wang, J. Deng, D. G. Dorrell. Chassis Coordinated Control for Full X-by-Wire Vehicles-A Review, Chinese Journal of Mechanical Engineering 34 (1), 1-25. (IF: 4.2)（封面文章, Font Page Paper）
[8] X. Ding, Z. Wang, L. Zhang. Event-Triggered Vehicle Sideslip Angle Estimation Based on Low-Cost Sensors, IEEE Transactions on Industrial Informatics, 18 (7): 4466-4476, 2022. (IF: 12.3)
[9] Z. Zhang, L. Zhang, C. Wang, M. Wang, D. Cao, Z. Wang. Integrated Decision Making and Motion Control for Autonomous Emergency Avoidance Based on Driving Primitives Transition, IEEE Transactions on Vehicular Technology 72 (4), 4207-4221, 2022. (IF: 6.8)
[10] M. Wang, L. Zhang, Z. Zhang, Z. Wang. A hybrid trajectory planning strategy for intelligent vehicles in on-road dynamic scenarios, IEEE Transactions on Vehicular Technology 72 (3), 2832-2847, 2022. (IF: 6.8)
[11] X. Ding, Z. Wang, L. Zhang, J Liu. A comprehensive vehicle stability assessment system based on enabling tire force estimation, IEEE Transactions on Vehicular Technology 71 (11), 11571-11588, 2022. (IF: 6.8)
[12] W. Zhan, Z. Wang, L. Zhang, P. Liu, D. Cui, D. G. Dorrell. A review of siting, sizing, optimal scheduling, and cost-benefit analysis for battery swapping stations, Energy, 2022, 124723. (IF: 9.0)
[13] C. She, L. Zhang, Z. Wang, F. Sun, P. Liu, C. Song. Battery state of health estimation based on incremental capacity analysis method: synthesizing from cell-level test to real-world application, IEEE Journal of Emerging and Selected Topics in Power Electronics, DOI: 10.1109/JESTPE.2021.3112754 (IF: 5.5)
[14] Z. Wang, C. Song, L. Zhang, Y. Zhao, P. Liu, D. G. Dorrell. A Data-Driven Method for Battery Charging Capacity Abnormality Diagnosis in Electric Vehicle Applications, IEEE Transaction on Transportation Electrification, DOI: 10.1109/TTE.2021.3117841 (IF: 7.0)
[15] L. Zhang, Z. Wang, X. Ding, S. Li, Z. Wang. Fault-tolerant control for intelligent electrified vehicles against front wheel steering angle sensor faults during trajectory tracking, IEEE Access 9, 65174-65186. (IF: 3.476)
[16] L. Zhang, X. Hu, Z. Wang, J. Ruan, C. Ma, Z. Song, D. G. Dorrell, M. G. Pecht. Hybrid electrochemical energy storage systems: An overview for smart grid and electrified vehicle applications, Renewable and Sustainable Energy Reviews, 110581. (IF: 15.9)
[17] L. Zhang, W. Fan, Z. Wang, W. Li, D. U. Sauer. Battery heating for lithium-ion batteries based on multi-stage alternative currents, Journal of Energy Storage, 32, 101885 (IF: 9.4)
[18] X. Ding, Z. Wang, L. Zhang. Hybrid control-based acceleration slip regulation for four-wheel-independently-actuated electric vehicles, IEEE Transactions on Transportation Electrification, 7 (3): 1976-1989, 2021. (IF: 7.0)
[19] X. Ding, Z. Wang, L. Zhang, C. Wang. Longitudinal vehicle speed estimation for four-wheel-independently-actuated electric vehicles based on multi-sensor fusion, IEEE Transactions on Vehicular Technology 69 (11), 12797-12806. (IF: 6.8)
[20] D. Li, Z. Zhang, P. Liu, Z. Wang and L. Zhang. Battery fault diagnosis for electric vehicles based on voltage abnormality by combining the long short-term memory neural network and the equivalent circuit model, IEEE Transactions on Power Electronics 36 (2), 1303-1315. (IF: 6.7)
[21] J. Wu, Z. Wang, L. Zhang. Unbiased-estimation-based and computation-efficient adaptive MPC for four-wheel-independently-actuated electric vehicles, Mechanism and Machine Theory 154, 104100. (IF: 5.2)
[22] C. Wang, Z. Wang, L. Zhang, D. Cao, D. G. Dorrell. A Vehicle Rollover Evaluation System Based on Enabling State and Parameter Estimation, IEEE Transactions on Industrial Informatics, 17 (6): 4003-4013, 2021. (IF: 12.3)
[23] C. She, Z. Wang, F. Sun, P. Liu, L. Zhang. Battery aging assessment for real-world electric buses based on incremental capacity analysis and radial basis function neural network, IEEE Transactions on Industrial Informatics, 2020, 16 (5): 3345-3354. (IF: 12.3)
[24] L. Zhang, Y. Wang, Z. Wang. Robust lateral motion control for in-wheel-motor-drive electric vehicles with network induced delays, IEEE Transactions on Vehicular Technology, 2019, 68 (11): 10585-10593. (IF: 6.8)
[25] L. Huang, Z. Zhang, Z. Wang, L. Zhang, X. Zhu, D. D. Dorrell. Thermal runaway behavior during overcharge for large-format lithium-ion batteries with different packaging patterns, Journal of Energy Storage, 2019, 25: 100811. (IF: 9.4)
[26] L. Zhang, Z. Wang, X. Hu, F. Sun, D. G. Dorrell. A comparative study of equivalent circuit models of ultracapacitors for electric vehicles, Journal of Power Sources, 2015, 274: 899-906. (IF: 9.2)
[27] L. Zhang, X. Hu, Z. Wang, F. Sun, D. G. Dorrell. Fractional-order modeling and State-of-Charge estimation for ultracapacitors, Journal of Power Sources, 2016, 314: 28-34. (IF: 9.2)
[28] L. Zhang, X. Hu, Z. Wang, F. Sun, D. G. Dorrell. A review of supercapacitor modeling, estimation, and applications: A control/management perspective, Renewable and sustainable Energy Reviews, 2018, 81: 1868-1878. (IF: 15.9)
[29] L. Zhang, X. Hu, Z. Wang, F. Sun, J. Deng, D. G. Dorrell. Multiobjective optimal sizing of hybrid energy storage system for electric vehicles, IEEE Transactions on Vehicular Technology, 2018, 62: 1027-1035. (IF: 6.8)
[30] L. Zheng, L. Zhang, J. Zhu, G. Wang. Co-estimation of state-of-charge, capacity and resistance for lithium-ion batteries based on a high-fidelity electrochemical model, Applied Energy, 2016, 180: 424-434. (IF: 11.2)
[31] C. Zou, L. Zhang, X. Hu, Z. Wang, T. Wik, M. Pecht. A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors, Journal of Power Sources, 2018, 390: 286-296. (IF: 9.2)
[32] X. Li, Z. Wang, L. Zhang, C. Zou, D. D. Dorrell. State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis, Journal of Power Sources, 2019, 410: 106-114. (IF: 9.2)
[33] X. Li, Z. Wang, L. Zhang. Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles, Energy, 2019, 174: 33-44. (IF: 9.0)
[34] X. Li, L. Zhang, Z. Wang, P. Dong. Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks, Journal of Energy Storage, 2019, 21: 510-518. (IF: 9.4)
[35] X. Hu, H. Yuan, C. Zou, Z. Li, L. Zhang. Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order calculus, IEEE Transactions on Vehicular Technology, 2018, 67: 10319-10329. (IF: 6.8)
[36] Z. Wang, J. Zhu, L. Zhang, Y. Wang. Braking/steering coordination control for in-wheel motor drive electric vehicles based on nonlinear model predictive control, Mechanism and Machine Theory, 2019, 142: 103586. (IF: 5.2)
二、代表著作 (Co-edited/Co-authored Books)
1.《面向电动车辆应用的超级电容系统管理技术》 北京理工大学出版社， 2020.
(Supercapacitor System Management Techniques and Applications, Beijing Institute of Technology Press, 2020)
2.《电动汽车工程手册 第九卷 运用与管理》 机械工业出版社， 2019
(Electric Vehicle Engineering Manuals: Operation and Management, China Machine Press, 2019)
3.《电动汽车充电技术及基础设施建设》 机械工业出版社， 2018
(Charging Technology and Infrastructure for EVs, China Machine Press, 2018)
三、科研项目
基于电动汽车网联大数据的充电设施规划方法及应用技术研究，国家重点研发计划项目，主持，在研
新能源汽车运行故障与事故检测评价关键技术联合研究，国家重点研发项目，主持，在研
网联环境下的分布式驱动电动汽车编队控制研究，北京市科技新星，主持，在研
基于动态多维度稳定性状态评估的全线控分布式驱动电动汽车底盘协同控制研究，国家自然科学基金面上项目，主持，在研
电动车辆复合电源多目标协同优化能量管理策略研究，国家自然科学基金青年科学基金，主持，结题
新能源汽车国家监管平台功能升级、技术支撑及运维管理，工信部重点课题，主持，结题
分布式驱动电动汽车控制策略研究及样车试制，企业横向合作项目，主持，结题
轮毂电机电动轮演示台开发及整车试用，企业横向合作项目，主持，结题
面向安全高效运行的动力电池智能管理系统研究，国家自然科学基金重点项目，单位负责人，结题
[1] Z. Zhang, L. Zhang, J. Deng, M. Wang, Z. Wang, D. Cao. An Enabling Trajectory Planning Scheme for Lane Change Collision Avoidance on Highways, IEEE Transactions on Intelligent Vehicles, 8 (1): 147-158, 2023. (IF: 8.2)
[2] J. Liu, Z. Wang, L. Zhang. Efficient Eco-Driving Control for EV Platoons in Mixed Urban Traffic Scenarios Considering Regenerative Braking, IEEE Transactions on Transportation Electrification, DOI: 10.1109/TTE.2023.3305773, 2023. (IF: 7.0)
[3] L. Zhang, P. Guo, Z. Wang, X. Ding. An Enabling Tire-Road Friction Estimation Method for Four-In-Wheel-Motor-Drive Electric Vehicles, IEEE Transactions on Transportation Electrification, DOI: 10.1109/TTE.2022.3231707, 2023. (IF: 7.0)
[4] C. Wang, Z. Wang, L. Zhang, H. Yu, D. Cao. Post-impact motion planning and tracking control for autonomous vehicles, Chinese Journal of Mechanical Engineering 35 (1), 54, 2022. (IF: 4.2)
[5] J. Liu, Z. Wang, L. Zhang. Integrated Vehicle-Following Control for Four-Wheel-Independent-Drive Electric Vehicles Against Non-ideal V2X Communication, IEEE Transactions on Vehicular Technology, 71 (4), 3648-3659, 2022. (IF: 6.8)
[6] Z. Wang, X. Ding, L. Zhang, Chassis coordinated control for full x-by-wire four-wheel-independent-drive electric vehicles, IEEE Transactions on Vehicular Technology 72 (4), 4394-4410, 2022. (IF: 6.8)
[7] L. Zhang, Z. Zhang, Z. Wang, J. Deng, D. G. Dorrell. Chassis Coordinated Control for Full X-by-Wire Vehicles-A Review, Chinese Journal of Mechanical Engineering 34 (1), 1-25. (IF: 4.2)（封面文章, Font Page Paper）
[8] X. Ding, Z. Wang, L. Zhang. Event-Triggered Vehicle Sideslip Angle Estimation Based on Low-Cost Sensors, IEEE Transactions on Industrial Informatics, 18 (7): 4466-4476, 2022. (IF: 12.3)
[9] Z. Zhang, L. Zhang, C. Wang, M. Wang, D. Cao, Z. Wang. Integrated Decision Making and Motion Control for Autonomous Emergency Avoidance Based on Driving Primitives Transition, IEEE Transactions on Vehicular Technology 72 (4), 4207-4221, 2022. (IF: 6.8)
[10] M. Wang, L. Zhang, Z. Zhang, Z. Wang. A hybrid trajectory planning strategy for intelligent vehicles in on-road dynamic scenarios, IEEE Transactions on Vehicular Technology 72 (3), 2832-2847, 2022. (IF: 6.8)
[11] X. Ding, Z. Wang, L. Zhang, J Liu. A comprehensive vehicle stability assessment system based on enabling tire force estimation, IEEE Transactions on Vehicular Technology 71 (11), 11571-11588, 2022. (IF: 6.8)
[12] W. Zhan, Z. Wang, L. Zhang, P. Liu, D. Cui, D. G. Dorrell. A review of siting, sizing, optimal scheduling, and cost-benefit analysis for battery swapping stations, Energy, 2022, 124723. (IF: 9.0)
[13] C. She, L. Zhang, Z. Wang, F. Sun, P. Liu, C. Song. Battery state of health estimation based on incremental capacity analysis method: synthesizing from cell-level test to real-world application, IEEE Journal of Emerging and Selected Topics in Power Electronics, DOI: 10.1109/JESTPE.2021.3112754 (IF: 5.5)
[14] Z. Wang, C. Song, L. Zhang, Y. Zhao, P. Liu, D. G. Dorrell. A Data-Driven Method for Battery Charging Capacity Abnormality Diagnosis in Electric Vehicle Applications, IEEE Transaction on Transportation Electrification, DOI: 10.1109/TTE.2021.3117841 (IF: 7.0)
[15] L. Zhang, Z. Wang, X. Ding, S. Li, Z. Wang. Fault-tolerant control for intelligent electrified vehicles against front wheel steering angle sensor faults during trajectory tracking, IEEE Access 9, 65174-65186. (IF: 3.476)
[16] L. Zhang, X. Hu, Z. Wang, J. Ruan, C. Ma, Z. Song, D. G. Dorrell, M. G. Pecht. Hybrid electrochemical energy storage systems: An overview for smart grid and electrified vehicle applications, Renewable and Sustainable Energy Reviews, 110581. (IF: 15.9)
[17] L. Zhang, W. Fan, Z. Wang, W. Li, D. U. Sauer. Battery heating for lithium-ion batteries based on multi-stage alternative currents, Journal of Energy Storage, 32, 101885 (IF: 9.4)
[18] X. Ding, Z. Wang, L. Zhang. Hybrid control-based acceleration slip regulation for four-wheel-independently-actuated electric vehicles, IEEE Transactions on Transportation Electrification, 7 (3): 1976-1989, 2021. (IF: 7.0)
[19] X. Ding, Z. Wang, L. Zhang, C. Wang. Longitudinal vehicle speed estimation for four-wheel-independently-actuated electric vehicles based on multi-sensor fusion, IEEE Transactions on Vehicular Technology 69 (11), 12797-12806. (IF: 6.8)
[20] D. Li, Z. Zhang, P. Liu, Z. Wang and L. Zhang. Battery fault diagnosis for electric vehicles based on voltage abnormality by combining the long short-term memory neural network and the equivalent circuit model, IEEE Transactions on Power Electronics 36 (2), 1303-1315. (IF: 6.7)
[21] J. Wu, Z. Wang, L. Zhang. Unbiased-estimation-based and computation-efficient adaptive MPC for four-wheel-independently-actuated electric vehicles, Mechanism and Machine Theory 154, 104100. (IF: 5.2)
[22] C. Wang, Z. Wang, L. Zhang, D. Cao, D. G. Dorrell. A Vehicle Rollover Evaluation System Based on Enabling State and Parameter Estimation, IEEE Transactions on Industrial Informatics, 17 (6): 4003-4013, 2021. (IF: 12.3)
[23] C. She, Z. Wang, F. Sun, P. Liu, L. Zhang. Battery aging assessment for real-world electric buses based on incremental capacity analysis and radial basis function neural network, IEEE Transactions on Industrial Informatics, 2020, 16 (5): 3345-3354. (IF: 12.3)
[24] L. Zhang, Y. Wang, Z. Wang. Robust lateral motion control for in-wheel-motor-drive electric vehicles with network induced delays, IEEE Transactions on Vehicular Technology, 2019, 68 (11): 10585-10593. (IF: 6.8)
[25] L. Huang, Z. Zhang, Z. Wang, L. Zhang, X. Zhu, D. D. Dorrell. Thermal runaway behavior during overcharge for large-format lithium-ion batteries with different packaging patterns, Journal of Energy Storage, 2019, 25: 100811. (IF: 9.4)
[26] L. Zhang, Z. Wang, X. Hu, F. Sun, D. G. Dorrell. A comparative study of equivalent circuit models of ultracapacitors for electric vehicles, Journal of Power Sources, 2015, 274: 899-906. (IF: 9.2)
[27] L. Zhang, X. Hu, Z. Wang, F. Sun, D. G. Dorrell. Fractional-order modeling and State-of-Charge estimation for ultracapacitors, Journal of Power Sources, 2016, 314: 28-34. (IF: 9.2)
[28] L. Zhang, X. Hu, Z. Wang, F. Sun, D. G. Dorrell. A review of supercapacitor modeling, estimation, and applications: A control/management perspective, Renewable and sustainable Energy Reviews, 2018, 81: 1868-1878. (IF: 15.9)
[29] L. Zhang, X. Hu, Z. Wang, F. Sun, J. Deng, D. G. Dorrell. Multiobjective optimal sizing of hybrid energy storage system for electric vehicles, IEEE Transactions on Vehicular Technology, 2018, 62: 1027-1035. (IF: 6.8)
[30] L. Zheng, L. Zhang, J. Zhu, G. Wang. Co-estimation of state-of-charge, capacity and resistance for lithium-ion batteries based on a high-fidelity electrochemical model, Applied Energy, 2016, 180: 424-434. (IF: 11.2)
[31] C. Zou, L. Zhang, X. Hu, Z. Wang, T. Wik, M. Pecht. A review of fractional-order techniques applied to lithium-ion batteries, lead-acid batteries, and supercapacitors, Journal of Power Sources, 2018, 390: 286-296. (IF: 9.2)
[32] X. Li, Z. Wang, L. Zhang, C. Zou, D. D. Dorrell. State-of-health estimation for Li-ion batteries by combing the incremental capacity analysis method with grey relational analysis, Journal of Power Sources, 2019, 410: 106-114. (IF: 9.2)
[33] X. Li, Z. Wang, L. Zhang. Co-estimation of capacity and state-of-charge for lithium-ion batteries in electric vehicles, Energy, 2019, 174: 33-44. (IF: 9.0)
[34] X. Li, L. Zhang, Z. Wang, P. Dong. Remaining useful life prediction for lithium-ion batteries based on a hybrid model combining the long short-term memory and Elman neural networks, Journal of Energy Storage, 2019, 21: 510-518. (IF: 9.4)
[35] X. Hu, H. Yuan, C. Zou, Z. Li, L. Zhang. Co-estimation of state of charge and state of health for lithium-ion batteries based on fractional-order calculus, IEEE Transactions on Vehicular Technology, 2018, 67: 10319-10329. (IF: 6.8)
[36] Z. Wang, J. Zhu, L. Zhang, Y. Wang. Braking/steering coordination control for in-wheel motor drive electric vehicles based on nonlinear model predictive control, Mechanism and Machine Theory, 2019, 142: 103586. (IF: 5.2)
二、代表著作 (Co-edited/Co-authored Books)
1.《面向电动车辆应用的超级电容系统管理技术》 北京理工大学出版社， 2020.
(Supercapacitor System Management Techniques and Applications, Beijing Institute of Technology Press, 2020)
2.《电动汽车工程手册 第九卷 运用与管理》 机械工业出版社， 2019
(Electric Vehicle Engineering Manuals: Operation and Management, China Machine Press, 2019)
3.《电动汽车充电技术及基础设施建设》 机械工业出版社， 2018
(Charging Technology and Infrastructure for EVs, China Machine Press, 2018)
三、科研项目
基于电动汽车网联大数据的充电设施规划方法及应用技术研究，国家重点研发计划项目，主持，在研
新能源汽车运行故障与事故检测评价关键技术联合研究，国家重点研发项目，主持，在研
网联环境下的分布式驱动电动汽车编队控制研究，北京市科技新星，主持，在研
基于动态多维度稳定性状态评估的全线控分布式驱动电动汽车底盘协同控制研究，国家自然科学基金面上项目，主持，在研
电动车辆复合电源多目标协同优化能量管理策略研究，国家自然科学基金青年科学基金，主持，结题
新能源汽车国家监管平台功能升级、技术支撑及运维管理，工信部重点课题，主持，结题
分布式驱动电动汽车控制策略研究及样车试制，企业横向合作项目，主持，结题
轮毂电机电动轮演示台开发及整车试用，企业横向合作项目，主持，结题
面向安全高效运行的动力电池智能管理系统研究，国家自然科学基金重点项目，单位负责人，结题
Education
Personal Introduction: Zhang Lei, special researcher, doctoral supervisor, Beijing Science and technology star. In 2016, he received a double doctorate degree in Mechanical Engineering from Beijing Institute of Technology and Electrical Engineering from University of Technology Sydney, Australia. The main research work focuses on the safety control theory and technology of intelligent networked electric vehicles and battery systems. He presided over 2 national key research and development program projects, 1 Beijing Science and Technology Nova Program project, 1 National Natural Science Foundation project and 1 Youth Fund project, and 1 project of the Ministry of Industry and Information Technology; Participated in 1 key project of National Natural Science Foundation and 2 key research and development projects as the project leader of the unit; He has published more than 50 high-level SCI papers as the first or corresponding author, and more than 7,000 Google academic citations; Published and edited three books; She is the editor-in-chief of the mobility issue of Sustainability. IEEE Open Journal of Vehicular Technology, Frontiers in Energy Research, Proceedings of The Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science. SAE International Journal of Electrified Vehicles. Engineers part C-Journal of Mechanical Engineering Science Associate editor of International Journal of Connected and Autonomous Vehicles, editorial board member of Electronics, PLOS ONE and Vehicles, China Journal of Highway, Automotive Engineering, Green Energy and Intelligent He is a member of the Youth editorial Committee of the journal Transportation, the Professional Committee of Vehicle Control and Intelligence of the Chinese Society of Automation, the Professional Committee of Parallel intelligence of the Chinese Society of Automation, and the Youth Working Committee of the Chinese Society of Automotive Engineering. He won the first prize of technical invention of China Automotive Engineering Society and the first prize of Natural Science of China Simulation Society.
Research direction: Intelligent networked new energy vehicles, vehicle-network interaction technology, vehicle dynamics control, power battery safety control technology
Recruitment intention: Welcome students majoring in machinery/vehicle/electrical/control/computer/power electronics to join the research group to pursue master's and doctoral degrees; Doctoral students in the fields of autonomous driving, vehicle dynamics control, artificial intelligence and big data technology are welcome to conduct postdoctoral research.
Lei Zhang was born in Xingtai City, Hebei Province, China, in 1987. He received the B.Eng. (Hons.) degree in Automotive Engineering from the South China University of Technology, China, in 2010, the Ph.D. degree in Mechanical Engineering from the Beijing Institute of Technology, China, 2016, and the Ph.D. degree in Electrical Engineering from the University of Technology Sydney, Australia, in 2016. Since 2016, he has been with the Beijing Institute of Technology, where he is currently a Professor with the School of Mechanical Engineering. He has authored over 70 publications and held 26 patents and has been an invited speaker at several international conferences. He has co-edited the books entitled Electric Vehicle Engineering Manuals: Operation and Management (China Machine Press) and Charging Technology and Infrastructure for EVs (China Machine Press) and co-authored the book entitled Supercapacitor System Management Techniques and Applications (Beijing Institute of Technology Press). His research interests lie in the area of control theory and engineering applied to electrified vehicles with emphases on battery management techniques, vehicle dynamics control and autonomous driving technologies. He is a member of Institute of Electrical and Electronics Engineers (IEEE) and of China Society of Automotive Engineers (CSAE). He serves on the Technical Committee on Vehicle Control and Intelligence and the Technical Committee on Parallel Intelligence in Chinese Association of Automation (CAA). He has served as Guest Editors for a number of journals, including International Journal of Vehicle Design, Chinese Journal of Mechanical Engineering, and China Journal of Highway and Transport. He serves as the Editor-in-Chief for the Sustainable Transportation Section in SUSTAINABILITY and an Associate Editor for IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, FRONTIERS IN ENERGY RESEARCH, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, SAE INTERNATIONAL JOURNAL OF ELECTRIFIED VEHICLES, and SAE INTERNATIONAL JOURNAL OF CONNECTED AND AUTONOMOUS VEHICLES. He is on the Editorial Boards of ELECTRONICS, PLOS ONE, and VEHICLES, and on the Youth Editorial Board of CHINA JOURNAL OF HIGHWAY AND TRANSPORT, AUTOMOTIVE ENGINEERING, and GREEN ENERGY AND INTELLIGENT TRANSPORTAION. Lei Zhang is an Academic Editor for AUTOMOTIVE INNOVATION.
Research direction: Intelligent networked new energy vehicles, vehicle-network interaction technology, vehicle dynamics control, power battery safety control technology
Recruitment intention: Welcome students majoring in machinery/vehicle/electrical/control/computer/power electronics to join the research group to pursue master's and doctoral degrees; Doctoral students in the fields of autonomous driving, vehicle dynamics control, artificial intelligence and big data technology are welcome to conduct postdoctoral research.
Lei Zhang was born in Xingtai City, Hebei Province, China, in 1987. He received the B.Eng. (Hons.) degree in Automotive Engineering from the South China University of Technology, China, in 2010, the Ph.D. degree in Mechanical Engineering from the Beijing Institute of Technology, China, 2016, and the Ph.D. degree in Electrical Engineering from the University of Technology Sydney, Australia, in 2016. Since 2016, he has been with the Beijing Institute of Technology, where he is currently a Professor with the School of Mechanical Engineering. He has authored over 70 publications and held 26 patents and has been an invited speaker at several international conferences. He has co-edited the books entitled Electric Vehicle Engineering Manuals: Operation and Management (China Machine Press) and Charging Technology and Infrastructure for EVs (China Machine Press) and co-authored the book entitled Supercapacitor System Management Techniques and Applications (Beijing Institute of Technology Press). His research interests lie in the area of control theory and engineering applied to electrified vehicles with emphases on battery management techniques, vehicle dynamics control and autonomous driving technologies. He is a member of Institute of Electrical and Electronics Engineers (IEEE) and of China Society of Automotive Engineers (CSAE). He serves on the Technical Committee on Vehicle Control and Intelligence and the Technical Committee on Parallel Intelligence in Chinese Association of Automation (CAA). He has served as Guest Editors for a number of journals, including International Journal of Vehicle Design, Chinese Journal of Mechanical Engineering, and China Journal of Highway and Transport. He serves as the Editor-in-Chief for the Sustainable Transportation Section in SUSTAINABILITY and an Associate Editor for IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, FRONTIERS IN ENERGY RESEARCH, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, SAE INTERNATIONAL JOURNAL OF ELECTRIFIED VEHICLES, and SAE INTERNATIONAL JOURNAL OF CONNECTED AND AUTONOMOUS VEHICLES. He is on the Editorial Boards of ELECTRONICS, PLOS ONE, and VEHICLES, and on the Youth Editorial Board of CHINA JOURNAL OF HIGHWAY AND TRANSPORT, AUTOMOTIVE ENGINEERING, and GREEN ENERGY AND INTELLIGENT TRANSPORTAION. Lei Zhang is an Academic Editor for AUTOMOTIVE INNOVATION.
Professional Experience
Personal Introduction: Zhang Lei, special researcher, doctoral supervisor, Beijing Science and technology star. In 2016, he received a double doctorate degree in Mechanical Engineering from Beijing Institute of Technology and Electrical Engineering from University of Technology Sydney, Australia. The main research work focuses on the safety control theory and technology of intelligent networked electric vehicles and battery systems. He presided over 2 national key research and development program projects, 1 Beijing Science and Technology Nova Program project, 1 National Natural Science Foundation project and 1 Youth Fund project, and 1 project of the Ministry of Industry and Information Technology; Participated in 1 key project of National Natural Science Foundation and 2 key research and development projects as the project leader of the unit; He has published more than 50 high-level SCI papers as the first or corresponding author, and more than 7,000 Google academic citations; Published and edited three books; She is the editor-in-chief of the mobility issue of Sustainability. IEEE Open Journal of Vehicular Technology, Frontiers in Energy Research, Proceedings of The Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science. SAE International Journal of Electrified Vehicles. Engineers part C-Journal of Mechanical Engineering Science Associate editor of International Journal of Connected and Autonomous Vehicles, editorial board member of Electronics, PLOS ONE and Vehicles, China Journal of Highway, Automotive Engineering, Green Energy and Intelligent He is a member of the Youth editorial Committee of the journal Transportation, the Professional Committee of Vehicle Control and Intelligence of the Chinese Society of Automation, the Professional Committee of Parallel intelligence of the Chinese Society of Automation, and the Youth Working Committee of the Chinese Society of Automotive Engineering. He won the first prize of technical invention of China Automotive Engineering Society and the first prize of Natural Science of China Simulation Society.
Research direction: Intelligent networked new energy vehicles, vehicle-network interaction technology, vehicle dynamics control, power battery safety control technology
Recruitment intention: Welcome students majoring in machinery/vehicle/electrical/control/computer/power electronics to join the research group to pursue master's and doctoral degrees; Doctoral students in the fields of autonomous driving, vehicle dynamics control, artificial intelligence and big data technology are welcome to conduct postdoctoral research.
Lei Zhang was born in Xingtai City, Hebei Province, China, in 1987. He received the B.Eng. (Hons.) degree in Automotive Engineering from the South China University of Technology, China, in 2010, the Ph.D. degree in Mechanical Engineering from the Beijing Institute of Technology, China, 2016, and the Ph.D. degree in Electrical Engineering from the University of Technology Sydney, Australia, in 2016. Since 2016, he has been with the Beijing Institute of Technology, where he is currently a Professor with the School of Mechanical Engineering. He has authored over 70 publications and held 26 patents and has been an invited speaker at several international conferences. He has co-edited the books entitled Electric Vehicle Engineering Manuals: Operation and Management (China Machine Press) and Charging Technology and Infrastructure for EVs (China Machine Press) and co-authored the book entitled Supercapacitor System Management Techniques and Applications (Beijing Institute of Technology Press). His research interests lie in the area of control theory and engineering applied to electrified vehicles with emphases on battery management techniques, vehicle dynamics control and autonomous driving technologies. He is a member of Institute of Electrical and Electronics Engineers (IEEE) and of China Society of Automotive Engineers (CSAE). He serves on the Technical Committee on Vehicle Control and Intelligence and the Technical Committee on Parallel Intelligence in Chinese Association of Automation (CAA). He has served as Guest Editors for a number of journals, including International Journal of Vehicle Design, Chinese Journal of Mechanical Engineering, and China Journal of Highway and Transport. He serves as the Editor-in-Chief for the Sustainable Transportation Section in SUSTAINABILITY and an Associate Editor for IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, FRONTIERS IN ENERGY RESEARCH, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, SAE INTERNATIONAL JOURNAL OF ELECTRIFIED VEHICLES, and SAE INTERNATIONAL JOURNAL OF CONNECTED AND AUTONOMOUS VEHICLES. He is on the Editorial Boards of ELECTRONICS, PLOS ONE, and VEHICLES, and on the Youth Editorial Board of CHINA JOURNAL OF HIGHWAY AND TRANSPORT, AUTOMOTIVE ENGINEERING, and GREEN ENERGY AND INTELLIGENT TRANSPORTAION. Lei Zhang is an Academic Editor for AUTOMOTIVE INNOVATION.
Research direction: Intelligent networked new energy vehicles, vehicle-network interaction technology, vehicle dynamics control, power battery safety control technology
Recruitment intention: Welcome students majoring in machinery/vehicle/electrical/control/computer/power electronics to join the research group to pursue master's and doctoral degrees; Doctoral students in the fields of autonomous driving, vehicle dynamics control, artificial intelligence and big data technology are welcome to conduct postdoctoral research.
Lei Zhang was born in Xingtai City, Hebei Province, China, in 1987. He received the B.Eng. (Hons.) degree in Automotive Engineering from the South China University of Technology, China, in 2010, the Ph.D. degree in Mechanical Engineering from the Beijing Institute of Technology, China, 2016, and the Ph.D. degree in Electrical Engineering from the University of Technology Sydney, Australia, in 2016. Since 2016, he has been with the Beijing Institute of Technology, where he is currently a Professor with the School of Mechanical Engineering. He has authored over 70 publications and held 26 patents and has been an invited speaker at several international conferences. He has co-edited the books entitled Electric Vehicle Engineering Manuals: Operation and Management (China Machine Press) and Charging Technology and Infrastructure for EVs (China Machine Press) and co-authored the book entitled Supercapacitor System Management Techniques and Applications (Beijing Institute of Technology Press). His research interests lie in the area of control theory and engineering applied to electrified vehicles with emphases on battery management techniques, vehicle dynamics control and autonomous driving technologies. He is a member of Institute of Electrical and Electronics Engineers (IEEE) and of China Society of Automotive Engineers (CSAE). He serves on the Technical Committee on Vehicle Control and Intelligence and the Technical Committee on Parallel Intelligence in Chinese Association of Automation (CAA). He has served as Guest Editors for a number of journals, including International Journal of Vehicle Design, Chinese Journal of Mechanical Engineering, and China Journal of Highway and Transport. He serves as the Editor-in-Chief for the Sustainable Transportation Section in SUSTAINABILITY and an Associate Editor for IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY, FRONTIERS IN ENERGY RESEARCH, PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, SAE INTERNATIONAL JOURNAL OF ELECTRIFIED VEHICLES, and SAE INTERNATIONAL JOURNAL OF CONNECTED AND AUTONOMOUS VEHICLES. He is on the Editorial Boards of ELECTRONICS, PLOS ONE, and VEHICLES, and on the Youth Editorial Board of CHINA JOURNAL OF HIGHWAY AND TRANSPORT, AUTOMOTIVE ENGINEERING, and GREEN ENERGY AND INTELLIGENT TRANSPORTAION. Lei Zhang is an Academic Editor for AUTOMOTIVE INNOVATION.
Research Achievement
Editor-in-chief, Transportation, Sustainability Journal;
Associate Editor, IEEE Open Journal of Vehicular Technology;
Associate Editor, Frontiers in Energy Research;
Deputy editor of Proceedings of The Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science;
Associate Editor, SAE International Journal of Electrified Vehicles;
Associate Editor, SAE International Journal of Connected and Autonomous Vehicles;
Young Editorial Member of China Highway Journal;
Young Editorial Board Member of Automotive Engineering;
Editorial Board Member of Electronics Magazine;
Editorial Board of the journal Plos One
Editorial Board Member, Journal of Vehicles;
Young Editorial Member of Green Energy and Intelligent Transportation;
Member of Vehicle Control and Intelligence Committee, Chinese Society of Automation;
Member of Parallel Intelligence Professional Committee of Chinese Society of Automation;
Member of Youth Working Committee of China Automotive Engineering Society
Associate Editor, IEEE Open Journal of Vehicular Technology;
Associate Editor, Frontiers in Energy Research;
Deputy editor of Proceedings of The Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science;
Associate Editor, SAE International Journal of Electrified Vehicles;
Associate Editor, SAE International Journal of Connected and Autonomous Vehicles;
Young Editorial Member of China Highway Journal;
Young Editorial Board Member of Automotive Engineering;
Editorial Board Member of Electronics Magazine;
Editorial Board of the journal Plos One
Editorial Board Member, Journal of Vehicles;
Young Editorial Member of Green Energy and Intelligent Transportation;
Member of Vehicle Control and Intelligence Committee, Chinese Society of Automation;
Member of Parallel Intelligence Professional Committee of Chinese Society of Automation;
Member of Youth Working Committee of China Automotive Engineering Society
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Enhancing battery durable operation: Multi-fault diagnosis and safety evaluation in series-connected lithium-ion battery systems
Zhao, Y., Deng, J., Liu, P., Zhang, L., Cui, D., Wang, Q., Sun, Z. & Wang, Z., 1 Jan 2025, In: Applied Energy. 377, 124632.Research output: Contribution to journal › Article › peer-review
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A comparative study of real-time coordinate charging schemes for residential electric vehicles
Li, X., Wang, Z., Zhang, L., Huang, Z., Cui, D., Li, W. & Sauer, D. U., 15 Sept 2024, In: Journal of Energy Storage. 98, 113021.Research output: Contribution to journal › Article › peer-review
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An Enabling Decision-Making Scheme by Considering Trajectory Prediction and Motion Uncertainty
Wang, M., Zhang, L., Zhang, Z. & Wang, Z., 2024, (Accepted/In press) In: IEEE Transactions on Intelligent Vehicles. p. 1-16 16 p.Research output: Contribution to journal › Article › peer-review
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An Uncertainty-Aware Lane Change Motion Planning Algorithm Based on Probabilistic Trajectory Prediction Distribution
Zhang, Z., Zhang, L., Wang, M., Wang, C. & Wang, Z., 2024, In: IEEE Open Journal of Vehicular Technology. 5, p. 1386-1399 14 p.Research output: Contribution to journal › Article › peer-review
Open Access -
An urban charging load forecasting model based on trip chain model for private passenger electric vehicles: A case study in Beijing
Zhang, L., Huang, Z., Wang, Z., Li, X. & Sun, F., 15 Jul 2024, In: Energy. 299, 130844.Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus)