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何洪文

  • 职称:教授
  • 研究方向:研究方向为新能源汽车与节能技术。
  • 所属院系:机械与车辆学院  
  • 成果数量:196条,属于本单位的个人成果196条

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作者: Liu, Dongchen1,2;Wang, Junzheng1;Shi, Dawei1;He, Hongwen2;Zheng, Huaihang11Beijing Inst Technol, Minist Ind & Informat, Key Lab Serv Mot Syst Drive & Control, Beijing 100081, Peoples R China.;2Beijing Inst Technol, Sch Mech Engn, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China.)

出处: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 2023 Vol.70 No.12 P12545-12554

关键词: DISTURBANCE REJECTION CONTROL; FUNNEL CONTROL; OPTIMIZATION; VEHICLES

摘要: This work proposes a force control strategy with prescribed transient performance for the legs of a wheel-legged robotic system to realize the posture ...

作者: He, Hongwen1;Shou, Yiwen1;Song, Jian11Beijing Inst Technol, Sch Mech Engn, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China.)

出处: ENERGY REPORTS 2023 Vol.10 P2006-2016

关键词: FUEL CONSUMPTION MODEL; EMISSIONS

摘要: The plug-in hybrid electric vehicles (PHEVs) are playing an increasingly important role in urban public transportation systems for their unique potent ...

作者: Yin, Peng1;Chen, Jinzhou1;He, Hongwen11Beijing Inst Technol, Natl Engn Res Ctr Elect Vehicles, Beijing 100081, Peoples R China.)

出处: SUSTAINABILITY 2023 Vol.15 No.11

关键词: FUEL-CELL; FAULT-DIAGNOSIS; NEURAL-NETWORK; PRESSURE

摘要: The hydrogen fuel cell is a quite promising green device, which could be applied in extensive fields. However, as a complex nonlinear system involving ...

作者: Zhao, Xuyang1;He, Hongwen1;Li, Jianwei1;Wei, Zhongbao1;Huang, Ruchen1;Shi, Man11Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing 47833, Peoples R China.)

出处: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2023 Vol.19 No.8 P8965-8975

关键词: LITHIUM-ION BATTERIES; OF-HEALTH ESTIMATION; STATE; CHARGE

摘要: Accurate detection of capacity degradation is critical to the safe and efficient utilization of battery systems. Many data-driven capacity estimators ...

作者: Yuecheng Li1,2,3;Hongwen He4,2;CA1;Yong Chen1,2,3;Hao Wang5; (1School of Mechanical and Electrical, Beijing Information Science and Technology University, Beijing, China;2Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, China;3Beijing Laboratory for New Energy Vehicles, Beijing, China;4Department of Mechanical Engineering, Beijing Institute of Technology, Beijing, China;5McMaster Automotive Resource Center, McMaster University, Hamilton, ON, Canada)

出处: Green Energy and Intelligent Transportation 2023 Vol.2 No.6 P100122

关键词: Autonomous hybrid electric bus;Scheduling model;Energy management;Dynamic programming;Model predictive control;Cooperative vehicle-infrastructure system

摘要: Efficient public transportation has always intrigued extensive research. Aiming to improve the commuting efficiency and fuel economy of the autonomous ...

作者: Ruchen Huang;Hongwen He ([a]National Engineering Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing, 100081, ChinaNational Engineering Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing, 100081, China[b]Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing, 100081, ChinaCollaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing 100081, China[c]School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, ChinaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

出处: Journal of Power Sources 2023 Vol.559 No.0

关键词: Hybrid electric vehicle;Naturalistic data-driven;Energy management strategy (EMS);Soft actor-critic (SAC);Experience replay

摘要: Energy management strategies (EMSs) are critical to saving fuel and reducing emissions for hybrid electric vehicles (HEVs). Given that, this article p ...

作者: Xiaofeng Yang;Hongwen He;Zhongbao Wei;Rui Wang;... Dong Zhang ([a]National Engineering Research Center for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaNational Engineering Research Center for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China[b]College of Information Science and Engineering, Northeastern University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, China[c]State Grid Tianjin Electric Power Research Institute, Tianjin, ChinaState Grid Tianjin Electric Power Research Institute, Tianjin, China[d]Department of Aerospace and Mechanical Engineering, The University of Oklahoma, Norman, OK 73019 USADepartment of Aerospace and Mechanical Engineering, The University of Oklahoma, Norman, OK 73019 USA)

出处: Applied Energy 2023 Vol.329 No.0

关键词: Fast charging;Deep reinforcement learning;soft actor critic-Lagrange;Cyber-physical system;Lithium-ion battery

摘要: Fast charging of lithium-ion battery (LIB) is critical for the further popularity of electric vehicles. However, the partial pursuit of high-power cha ...

作者: Yong Wang;Yuankai Wu;Yingjuan Tang;Qin Li;Hongwen He ([a]National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, ChinaNational Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China[b]Department of Computer Science, Sichuan University, Chengdu, 610041, ChinaDepartment of Computer Science, Sichuan University, Chengdu, 610041, China[c]Department of Vehicle Engineering, School of Mechanical Engineering, Guangxi University, Nanning, 530004, ChinaDepartment of Vehicle Engineering, School of Mechanical Engineering, Guangxi University, Nanning, 530004, China)

出处: Applied Energy 2023 Vol.332 No.0

关键词: Hybrid electric vehicle;Energy management strategy;Multi-agent reinforcement learning;Car-following;Eco-driving

摘要: The advanced cruise control system has expanded the energy-saving potential of the hybrid electric vehicle (HEV). Despite this, most energy-saving res ...

作者: Jinzhou Chen1;Hongwen He2,3;Zhongbao Wei1;Shengwei Quan1; (1School of Mechanical Engineering, National Engineering Research Centre of Electric Vehicles, Beijing Institute of Technology, Beijing, China 2National Engineering Research Centre of Electric Vehicles, Beijing Institute of Technology, Beijing, China 3Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, China)

出处: IEEE Transactions on Transportation Electrification 2023 P1

关键词: Vehicle dynamics;Voltage control;Power system dynamics;Transportation;Time factors;Load modeling;Genetic algorithms

摘要: The potential electrochemical and thermos-dynamic processes of fuel cell (FC) systems lead to a slow response, which is often combined with direct cur ...

作者: Jinzhou Chen1;Hongwen He1,2;CA1;Hongwei Yue1; (1National Engineering Research Center of Electric Vehicles, Beijing Institute of Technology, Beijing, 100081, China;2Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing, P.R. 314019, China)

出处: International Journal of Hydrogen Energy 2023

摘要: The plateau environmental adaptability of the proton exchange membrane fuel cell (PEMFC) is a key technical challenge for the development of fuel cell ...

何洪文教授简介