作者： Qiushi Wang^1,2,3,4;Zhenpo Wang^1,2;CA1;Peng Liu^1,2;Lei Zhang^1,2;Dirk Uwe Sauer^3,4,5,6;Weihan Li^3,4,5,7;CA2 （¹National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology, Beijing 100081, China;²Beijing Co-innovation Center for Electric Vehicles, Beijing 100081, China;³Chair for Electrochemical Energy Conversion and Storage Systems, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Campus-Boulevard 89, 52074 Aachen, Germany;⁴Center for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronics Systems (CARL), RWTH Aachen University, Campus-Boulevard 89, 52074 Aachen, Germany;⁵Jülich Aachen Research Alliance, JARA-Energy, Templergraben 55, 52056 Aachen, Germany;⁶Helmholtz Institute Münster (HI MS), IEK 12, Forschungszentrum Jülich, 52425 Jülich, Germany;⁷Lead contact）

出处： Cell Reports Physical Science 2023 Vol.4 No.12 P101720

关键词： field data;lithium-ion batteries;aging prediction;machine learning;statistical features

摘要： Accurately predicting battery aging is critical for mitigating performance degradation during battery usage. While the automotive industry recognizes ...

作者： Zhang, Lei^1,2;Guo, Pengyu^1,2;Wang, Zhenpo^1,2;Ding, Xiaolin^1,2 （¹Beijing Inst Technol, Collaborat Innovat Ctr Elect Vehicles, Beijing 100081, Peoples R China.;²Beijing Inst Technol, Natl Engn Res Ctr Elect Vehicles, Beijing 100081, Peoples R China.）

出处： IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION 2023 Vol.9 No.3 P3697-3710

关键词： COEFFICIENT ESTIMATION; IDENTIFICATION

摘要： In this article, a particle filter (PF)-based tire-road friction estimation method is proposed for four-in-wheel-motor-drive electric vehicles (FIWMD ...

作者： Zhan, Weipeng¹; Wang, Zhenpo^{1, 2}; Deng, Junjun¹; Liu, Peng^{1, 2}; Cui, Dingsong¹ （¹National Engineering Laboratory for Electric Vehicles, Beijing Co-innovation Centre for Electric Vehicles, Beijing Institute of Technology, Beijing, China;²Beijing Institute of Technology Chongqing Innovation Centre, Chongqing, China）

出处： SSRN 2023

作者： Li, Mingyang¹; Deng, Junjun¹; Zhang, Zhenyuan¹; Wang, Zhenpo¹ （¹Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Power Electronics 2023 P1-13

作者： Wang, Zhaohua¹²³⁴;Zhang, Hongzhi¹²;Li, Hao¹²;Wang, Song⁵;Wang, Zhenpo⁶; （¹School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China;²Center for Sustainable Development and Smart Decision, Beijing Institute of Technology, Beijing, 100081, China;³Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081, China;⁴Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, 100081, China;⁵Institute of Latin American Studies, Chinese Academy of Social Sciences, Beijing, 100007, China;⁶National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, 100081, China）

出处： Renewable and Sustainable Energy Reviews 2023 Vol.173

摘要： In 2020, China launched the Dual Circulation Strategy to tackle difficult international trade situations and COVID-19. To examine the environmental pr ...

作者： Li, Mingyang¹;Deng, Junjun¹;Chen, Deliang¹;Wang, Wenbo¹;Li, Yang¹;Wang, Zhenpo¹; （¹Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Industry Applications 2023 P1-12

摘要： To meet the requirement of the battery charging characteristics and electric vehicle interoperability, wide power range and wide voltage range are imp ...

作者： Dingsong Cui;Zhenpo Wang;Peng Liu;Shuo Wang;Yiwen Zhao;Weipeng Zhan （¹National Engineering Laboratory for Electric Vehicles, Beijing Co-innovation Centre for Electric Vehicles, Beijing Institute of Technology, Beijing, China;²Beijing Institute of Technology Chongqing Innovation Centre, Chongqing, China）

出处： Applied Energy 2023 Vol.336 P120798

关键词： Electric vehicle;Charging behavior clustering;Behavior prediction;Stacking regression model

摘要： Large-scale deployment of electric vehicles (EVs) poses a huge challenge to the operation of the distribution network. As a possible mobile energy car ...

作者： Li, Mingyang¹; Deng, Junjun¹; Chen, Deliang¹; Wang, Wenbo¹; Wang, Zhenpo¹ （¹Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Vehicular Technology 2023 P1-13

作者： Zhao, Yiwen¹; Wang, Zhenpo¹; Sun, Zhenyu²; Liu, Peng¹; Cui, Dingsong¹; Deng, Junjun¹ （¹National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology, Beijing, China;²Sunwoda Power Technology Co. Ltd., Shenzhen, Guangdong Province, China）

出处： IEEE Transactions on Power Electronics 2023 P1-13

作者： Wu, Jianyang^{1, 2, 3}; Wang, Zhenpo^{1, 2}; Zhang, Lei^{1, 2}; Ding, Xiaolin^{1, 2} （¹National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing; 100081, China;²Collaborative Innovation Center for Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing; 100081, China;³Beijing Institute of Space Launch Technology, Beijing; 100076, China）

出处： Jixie Gongcheng Xuebao/Journal of Mechanical Engineering 2023 Vol.59 No.4 P163-172