作者： Liu, Haiming^{1, 2}; Huang, Linfeng^{3, 4}; Lin, Cheng¹; Ding, Yifu²; Wang, Yun²; Li, Shanhu³ （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China;²China Automotive Technology and Research Center Co., Ltd, Tianjin; 300300, China;³State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin; 300130, China;⁴CRRC Zhuzhou Electric Locomotive Research Institute, Zhuzhou; 412001, China）

出处： Energies 2022 Vol.15 No.11

作者： Yu, Xiao^{1, 2}; Lin, Cheng^{1, 2}; Xie, Peng^{1, 2}; Liang, Sheng^{1, 2} （¹National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology, Beijing; 100081, China;²Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing; 100081, China）

出处： Energy 2022

作者： 林程;田雨;于潇;徐垚;蒋雄威;孙逢春 （北京理工大学机械与车辆学院, 北京, 100081）

出处： 科技导报 2022 第40卷 第14期 P41-50

关键词： 新能源汽车；电动客车；全气候电池；双电机驱动；整车热管理

摘要： 现有电动客车动力平台不能满足适用于传统燃油客车的最高车速及最大爬坡度的高性能应用需求,以及严寒环境正常启动、低温环境续驶里程不锐减的全气候应用需求。针对以北京理工大学牵头的技术团队研发的高性能全气候电动客车平台,综述了全气候电池系统、双电机同轴自动变速驱动系统、整车多热源协同热管理系统等面向全气候电 ...

作者： Li, Yiding¹; Wang, Wenwei^{1, 2}; Yang, Xiao-Guang^{1, 2}; Zuo, Fenghao¹; Liu, Shuaibang¹; Lin, Cheng¹; （¹National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China;²Shenzhen Automotive Research Institute of BIT (Shenzhen Research Institute of National Engineering Laboratory for Electric Vehicles), Shenzhen, China）

出处： Journal of Power Sources 2022 Vol.546 No.0

关键词： Smart battery;Smart sensing;Fiber Bragg grating sensor;Battery degradation;State of health;Safety

摘要： Accurate monitoring and prediction of the operating status of Li-ion batteries (LiBs) are essential for enhancing the longevity and safety of LiB-powe ...

作者： Tian, Yu¹; Lin, Cheng¹; Chen, Xiang²; Yu, Xiao¹; Xiong, Rui¹; Zhang, Qiang² （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China;²Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing; 100084, China）

出处： SSRN 2022

作者： Chen Huan¹;Xiong Rui¹;Lin Cheng¹;Shen Weixiang² （¹Department of Vehicle Engineering,School of Mechanical Engineering,Beijing Institute of Technology, National Engineering Laboratory for Electric Vehicles, Beijing, 100081;²Faculty of Science,Engineering and Technology,Swinburne University of Technology, Australia, Melbourne, 3122）

出处： CSEE Journal of Power and Energy Systems 2021 第7卷 第4期 P862-874

关键词： Energy management；hybrid energy storage system；long short-term memory；model predictive control；battery aging consciousness

摘要： An accurate driving cycle prediction is a vital function of an onboard energy management strategy(EMS) for a battery/ultracapacitor hybrid energy stor ...

作者： Wenwei Wang，Hong Pan，Lin Cheng （National Engineering Laboratory for Electric Vehicles，Beijing Institute of Technology，Beijing，100081，China）

出处： 3rd International Conference on Energy Resources and Sustainable Development 第三届能源资源与可持续发展国际会议 2020

会议录： 3rd International Conference on Energy Resources and Sustainable Development 第三届能源资源与可持续发展国际会议(ICERSD 2020)论文集

摘要： This paper proposes a reformed dynamic programming(DP)based energy management strategy for a city bus driven by dual-motor coupling propulsion system( ...

作者： Wenwei Wang，Hong Pan，Lin Cheng （National Engineering Laboratory for Electric Vehicles，Beijing Institute of Technology，Beijing，100081，China）

出处： 第三届能源资源与可持续发展国际会议(ICERSD 2020) 2020

会议录： 3rd International Conference on Energy Resources and Sustainable Development 第三届能源资源与可持续发展国际会议(ICERSD 2020)论文集

摘要： This paper proposes a reformed dynamic programming(DP)based energy management strategy for a city bus driven by dual-motor coupling propulsion system( ...

作者： 朱吉 （导师：林程）

学位名称： 硕士

出处： 北京理工大学 2018

作者： 刘阳 （导师：林程）

学位名称： 硕士

出处： 北京理工大学 2018

关键词： 智能客车；轨迹跟踪；模型预测控制；纵横耦合控制

摘要： 智能车辆是智能交通系统的重要组成部分,而智能电动客车不仅能够减少驾驶员误操作而造成的交通事故,还能解决环境污染,以及交通拥堵等问题,大力研究智能电动客车对于城市交通的健康发展具有重要意义。而智能车辆的两个关键技术就是路径规划和轨迹跟踪。在已知路径下如何能够快速准确的跟随期望轨迹一直是国内外学者不断研 ...