何洪文
作者: He, Hongwen1; Han, Mo1; Liu, Wei2; Cao, Jianfei3; Shi, Man1; Zhou, Nana1, 4 (1National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China;2Apollo Intelligent Technology Company Limited, Beijing, China;3Beijing Institute of Spacecraft System Engineering, Beijing; 100094, China;4Advanced Technology Research Institute, Beijing Institute of Technology, Jinan; 250300, China)
出处: Energy 2022
作者: Li, Jianwei1; Zou, Weitao1; Yang, Qingqing2; Yi, Fengyan3; Bai, Yunfei1; Wei, Zhongbao1; He, Hongwen1 (1Beijing Institute of Technology, National Engineering Laboratory for Electric Vehicles, Beijing; 100081, China;2Coventry University, UK, Coventry; CV1 5FB, United Kingdom;3School of Automotive Engineering, Shandong Jiaotong University, Shandong, Jinan; 250357, China)
出处: International Journal of Electrical Power and Energy Systems 2022
作者: Wei, Zhongbao1; Ruan, Haokai1; He, Hongwen1 (1School of Mechanic Engineering, Beijing Institute of Technology, Beijing; 100081, China)
出处: Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology 2022 Vol.42 No.11 P1184-1190
发明人: 李建威,田忠昊,万鑫铭,何洪文,孙逢春,郭文军,毛毡鑫
申请人: 北京理工大学
申请号: 202210694031.6
申请日期: 2022.06.20
摘要: 本发明涉及一种氢气泄漏风险预警方法及系统,涉及氢气泄漏领域,方法包括获取涉氢场所的通风信息;对所述涉氢场所的管路系统进行网格划分,得到网格化的管路系统;根据所述管路系统的泄漏源确定所述网格化的管路系统每个网格对应的危险系数;根据所述危险系数利用射流锥模型确定高危风险区域;根据所述危险系数和所述通风信 ...
发明人: 李建威,何书丞,贾博文,何洪文,李高鹏,孙逢春,何云堂
申请人: 北京理工大学
申请号: 202210929585.X
申请日期: 2022.08.04
摘要: 本发明涉及一种氢光储充电站容量优化配置方法及系统,涉及电动汽车充电站技术领域,方法包括获取氢光储充电站在设定历史阶段的平均光伏发电数据和平均充电负荷数据;所述氢光储充电站包括光伏系统、梯次电池储能系统、燃料电池系统、电解槽制氢系统和储氢罐;基于所述光伏系统、所述梯次电池储能系统、所述燃料电池系统、所 ...
作者: Wei, Zhongbao1; Li, Pengfei1; Cao, Wanke1; Chen, Haosen2; Wang, Wei3, 4; Yu, Yifei5; He, Hongwen1; (1National Engineering Research Centre for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China;2State Key Laboratory of Explosion Science and Technology, Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing, China;3School of Aerospace Engineering, Beijing Institute of Technology, Beijing; 100081, China;4Beijing Key Laboratory of UAV Autonomous Control, Beijing Institute of Technology, Beijing; 100081, China;5Energy Innovation Centre, Warwick Manufacturing Group, University of Warwick, Coventry, United Kingdom)
出处: Applied Thermal Engineering 2022 Vol.216 No.0
关键词: Thermal model;Machine learning;Embedded sensor;Temperature inhomogeneity;Batteries
摘要: Accurate monitoring of internal temperature distribution is critical to the safety of lithium-ion batteries (LIBs). However, both the radial and the a ...
作者: Cao, Wanke1; Xu, Xin1; Wei, Zhongbao1; Wang, Wei2; Li, Jianwei1; He, Hongwen1 (1School of Mechanical Engineering, National Engineering Research Center for Electric Vehicles, Beijing Institute of Technology, Beijing, China;2School of Aerospace Engineering, Beijing Institute of Technology, Beijing, China)
出处: IEEE Transactions on Transportation Electrification 2022 P1-1
作者: Cao,Wanke123;Zhu,Zhiwen123;Nan,Jinrui123;Yang,Qingqing4;Gu,Guangjian123;He,Hongwen12; (1Hunan Provincial Key Laboratory of Vehicle Power and Transmission System, Beijing Institute of Technology, Beijing, 100081, China;2National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, 100081, China;3Shenzhen Automotive Research Institute (SZART), Beijing Institute of Technology, Beijing, 100081, China;4Faculty of Engineering, Environment and Computing, Coventry University, Coventry, CV1 5FB, United Kingdom)
出处: IEEE Access 2022 Vol.10 P770-778
摘要: A lateral motion control scheme for a distributed drive electric vehicle is presented in this paper, which takes into account both in-car network and ...
发明人: WEI ZHONGBAO;魏中宝;CUI HAOYONG;崔皓勇;HE HONGWEN;何洪文;ZHANG SHENG;张盛
申请人: BEIJING INSTITUTE OF TECHNOLOGY;北京理工大学
申请号: 202111325344.6
申请日期: 2021.11.10
摘要: (EN) The invention discloses a reconfigurable battery pack capacity utilization maximization control method. The method comprises the steps that first ...
发明人: 王郝,何洪文,曹剑飞
申请人: 北京理工大学
申请号: 202110004858.5
申请日期: 2021.01.04
摘要: 一种纯电动扫路车的能量管理方法,其基于作业道路观测建立道路垃圾分布统计学模型,并基于非线性自回归神经网络算法建立作业电机功率需求模型;基于监督学习,使用非线性自回归神经网络(NAR‑NN)预知车辆前方垃圾状况;建立并实施了滚动求解预测域上的优化问题,通过将所求最优控制量并作用于扫路车,能够实现作业电 ...