每年的科研成果
每年的科研成果
个人简介
个人简介
职 称
(Professional Title)
特别研究员 (Research Professor)
√博导 √硕导
学院及专业
(Department)
机械与车辆学院：车辆工程、电气工程
(School of Mechanical Engineering)
办公地址
(Office Address)
北京理工大国防科技园5号楼701
(701, Building 5, University Technological Park, Beijing Institute of Technology, Haidian District, Beijing 100081, China)
邮编
(Post Code)
100081
办公电话
(Telephone)
+86-18514631856
邮 件
(Email)
lei_zhang@bit.edu.cn
(Professional Title)
特别研究员 (Research Professor)
√博导 √硕导
学院及专业
(Department)
机械与车辆学院：车辆工程、电气工程
(School of Mechanical Engineering)
办公地址
(Office Address)
北京理工大国防科技园5号楼701
(701, Building 5, University Technological Park, Beijing Institute of Technology, Haidian District, Beijing 100081, China)
邮编
(Post Code)
100081
办公电话
(Telephone)
+86-18514631856
邮 件
(Email)
lei_zhang@bit.edu.cn
研究领域和方向
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
教育背景
个人简介：张雷，特别研究员、博士生导师，北京市科技新星。2016年分别获得北京理工大学机械工程专业和澳大利亚悉尼科技大学电气工程专业双博士学位。主要围绕智能网联电动汽车整车及电池系统安全控制理论与技术开展研究工作。主持国家重点研发计划项目2项、北京市科技新星计划项目1项、国家自然科学基金面上和青年基金项目各1项、工信部课题1项；作为单位课题负责人参与国家自然科学基金重点项目1项、国家重点研发项目2项；以第一或通讯作者发表高水平SCI论文50余篇，谷歌学术引用7000余次；出版编著三部；担任《Sustainability》期刊交通领域主编，《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》《SAE International Journal of Connected and Autonomous Vehicles》等期刊副主编，《Electronics》《PLOS ONE》《Vehicles》期刊编委，《中国公路学报》《汽车工程》《Green Energy and Intelligent Transportation》期刊青年编委以及中国自动化学会车辆控制与智能化专业委员会、中国自动化学会平行智能专业委员会委员、中国汽车工程学会青年工作委员会委员。获中国汽车工程学会技术发明一等奖、中国仿真学会自然科学一等奖。
研究方向：智能网联新能源汽车、车-网互动技术、车辆动力学控制、动力电池安全管控技术
招生意向：欢迎机械/车辆/电气/控制/计算机/电力电子等专业同学加入课题组攻读硕士和博士学位；欢迎自动驾驶、车辆动力学控制、人工智能与大数据技术等研究方向博士开展博士后合作研究。
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.
研究方向：智能网联新能源汽车、车-网互动技术、车辆动力学控制、动力电池安全管控技术
招生意向：欢迎机械/车辆/电气/控制/计算机/电力电子等专业同学加入课题组攻读硕士和博士学位；欢迎自动驾驶、车辆动力学控制、人工智能与大数据技术等研究方向博士开展博士后合作研究。
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.
工作履历
个人简介：张雷，特别研究员、博士生导师，北京市科技新星。2016年分别获得北京理工大学机械工程专业和澳大利亚悉尼科技大学电气工程专业双博士学位。主要围绕智能网联电动汽车整车及电池系统安全控制理论与技术开展研究工作。主持国家重点研发计划项目2项、北京市科技新星计划项目1项、国家自然科学基金面上和青年基金项目各1项、工信部课题1项；作为单位课题负责人参与国家自然科学基金重点项目1项、国家重点研发项目2项；以第一或通讯作者发表高水平SCI论文50余篇，谷歌学术引用7000余次；出版编著三部；担任《Sustainability》期刊交通领域主编，《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》《SAE International Journal of Connected and Autonomous Vehicles》等期刊副主编，《Electronics》《PLOS ONE》《Vehicles》期刊编委，《中国公路学报》《汽车工程》《Green Energy and Intelligent Transportation》期刊青年编委以及中国自动化学会车辆控制与智能化专业委员会、中国自动化学会平行智能专业委员会委员、中国汽车工程学会青年工作委员会委员。获中国汽车工程学会技术发明一等奖、中国仿真学会自然科学一等奖。
研究方向：智能网联新能源汽车、车-网互动技术、车辆动力学控制、动力电池安全管控技术
招生意向：欢迎机械/车辆/电气/控制/计算机/电力电子等专业同学加入课题组攻读硕士和博士学位；欢迎自动驾驶、车辆动力学控制、人工智能与大数据技术等研究方向博士开展博士后合作研究。
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.
研究方向：智能网联新能源汽车、车-网互动技术、车辆动力学控制、动力电池安全管控技术
招生意向：欢迎机械/车辆/电气/控制/计算机/电力电子等专业同学加入课题组攻读硕士和博士学位；欢迎自动驾驶、车辆动力学控制、人工智能与大数据技术等研究方向博士开展博士后合作研究。
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.
研究成果
《Sustainability》期刊交通领域主编；
《IEEE Open Journal of Vehicular Technology》期刊副主编；
《Frontiers in Energy Research》期刊副主编；
《Proceedings of The Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science》期刊副主编；
《SAE International Journal of Electrified Vehicles》期刊副主编；
《SAE International Journal of Connected and Autonomous Vehicles》期刊副主编；
《中国公路学报》青年编委；
《汽车工程》青年编委；
《Electronics》期刊编委；
《Plos One》期刊编委
《Vehicles》期刊编委；
《Green Energy and Intelligent Transportation》期刊青年编委；
中国自动化学会车辆控制与智能化专业委员会委员；
中国自动化学会平行智能专业委员会委员；
中国汽车工程学会青年工作委员会委员
《IEEE Open Journal of Vehicular Technology》期刊副主编；
《Frontiers in Energy Research》期刊副主编；
《Proceedings of The Institution of Mechanical Engineers Part C-Journal of Mechanical Engineering Science》期刊副主编；
《SAE International Journal of Electrified Vehicles》期刊副主编；
《SAE International Journal of Connected and Autonomous Vehicles》期刊副主编；
《中国公路学报》青年编委；
《汽车工程》青年编委；
《Electronics》期刊编委；
《Plos One》期刊编委
《Vehicles》期刊编委；
《Green Energy and Intelligent Transportation》期刊青年编委；
中国自动化学会车辆控制与智能化专业委员会委员；
中国自动化学会平行智能专业委员会委员；
中国汽车工程学会青年工作委员会委员
与联合国可持续发展目标相关的专业知识
2015 年，联合国成员国同意 17 项可持续发展目标 (SDG)，以消除贫困、保护地球并确保全人类的繁荣。此人的工作有助于实现下列可持续发展目标：
指纹图谱
深入其中 Lei Zhang 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
- 1 相似简介
最近五年的合作关系和顶尖研究领域
最近的国家/地区级外部合作关系。点击圆点，以了解详细信息或
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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 1月 2025, 在: Applied Energy. 377, 124632.科研成果: 期刊稿件 › 文章 › 同行评审
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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 9月 2024, 在: Journal of Energy Storage. 98, 113021.科研成果: 期刊稿件 › 文章 › 同行评审
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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, (已接受/待刊) 在: IEEE Transactions on Intelligent Vehicles. 页码 1-16 16 页码科研成果: 期刊稿件 › 文章 › 同行评审
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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, 在: IEEE Open Journal of Vehicular Technology. 5, 页码 1386-1399 14 页码科研成果: 期刊稿件 › 文章 › 同行评审
开放访问 -
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 7月 2024, 在: Energy. 299, 130844.科研成果: 期刊稿件 › 文章 › 同行评审
8 引用 （Scopus）