何洪文
作者: 魏中宝,钟浩,何洪文 (北京理工大学机械与车辆学院)
出处: 机械工程学报 2023 第59卷 第2期 P223-232
关键词: 锂离子电池;快速充电;状态估计;模型预测控制;老化抑制
摘要: 锂离子电池在快速充电过程中极易触发内部过热,并加速寿命衰退,因此在确保快速充电的同时主动约束锂离子电池重要中间物理状态具有重要意义。因此,提出一种基于多物理过程变量约束的电池快速充电方法。建立电-热-老化综合模型,并在典型充电场景下进行电热模拟精度验证;在此基础上,设计基于模型的荷电状态与内部温度估 ...
作者: 梁海强,何洪文,代康伟,庞博,王鹏 (北京理工大学机械与车辆学院;北京新能源汽车股份有限公司;北京汽车研究总院有限公司)
出处: 汽车工程 2023 第5期
关键词: 锂离子电池;融合模型;电池寿命预测;电动汽车
摘要: 为提升实际应用中锂离子动力电池寿命预测精度,本文中提出一种融合经验老化模型和电池机理模型的电池寿命预测方法。该方法以基于经验老化模型SOH 预测值作为卡尔曼算法的先验估计,以基于机理模型估计电池未来容量衰减量进而预测得到的SOH作为卡尔曼算法的后验修正,从而实现对锂离子电池寿命的准确预测。基于电芯试 ...
作者: 何洪文1,2;,王浩宇1,2;,王勇1,2;,李双歧1,2; (1北京理工大学电动车辆国家工程研究中心;2北京理工大学机械与车辆学院)
出处: 机械工程学报 2023 第59卷 第22期 P46-58
关键词: 锂离子电池;健康状态估计;健康因子提取;实车运行数据;机器学习
摘要: 准确估计锂离子电池健康状态(Stateofhealth,SOH)对电动汽车安全管理具有重要意义,针对实车数据存在电池状态不完整、工况复杂、数据质量差的问题,提出面向实车数据的多工况健康因子提取SOH联合估计方法。首先,提出实车运行数据工况重构方法,将数据划分为行驶片段和充电片段,降低电池工况复杂性。 ...
作者: Yan,Mei1;Xu,Hongyang1;Li,Menglin1;He,Hongwen2;Bai,Yunfei3; (1School of Vehicle and Energy, Yanshan University, Heibei, 066004, China;2National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;3School of Engineering, University of Warwick, Coventry, CV4 7AL, United Kingdom)
出处: Green Energy and Intelligent Transportation 2023 Vol.2 No.4
摘要: This paper aims to answer how to use traffic information to design energy management strategies for fuel cell buses in a networked environment. For th ...
作者: Nie,Wei12;He,Hongwen1;Sha,Luming3;Wang,Chao12;Du,Fu12; (1School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;2Propulsion System Technologies Department, China North Vehicle Research Institute, Beijing, 100072, China;3Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun, 130022, China)
出处: Machines 2023 Vol.11 No.7
摘要: To satisfy the design requirements for a hydropneumatic spring damper valve, the inlet–outlet pressure drop (ΔP) and the axial force on the spool (FZ) ...
作者: Tang, Yingjuan1;He, Hongwen1;Wang, Yong1;Mao, Zan1;Wang, Haoyu1 (1Beijing Institute of Technology; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Computer Network Information Center, CAS)
出处: NEUROCOMPUTING 2023 Vol.553
关键词: TRAFFIC LIGHT RECOGNITION; FUSION; LIDAR; NETWORKS
摘要: Autonomous driving perception has made significant strides in recent years, but accurately sensing the environment using a single sensor remains a dau ...
作者: Jia, Chunchun1;Zhou, Jiaming2;He, Hongwen1,3;Li, Jianwei1,3;Wei, Zhongbao1;Li, Kunang1;Shi, Man1 (1Beijing Inst Technol, Sch Mech Engn, Dept Vehicle Engn, Beijing 100081, Peoples R China.;2Weifang Univ Sci & Technol, Sch Intelligent Mfg, Weifang 262700, Peoples R China.;3Beijing Inst Technol, Yangtze Delta Region Inst, Zhejiang 314001, Peoples R China.)
出处: ENERGY 2023 Vol.271
关键词: LIFETIME
摘要: In the field of future transportation, hydrogen fuel cell hybrid electric vehicles (FCHEVs) are regarded as the most potential renewable energy vehicl ...
作者: Jia, Chunchun1;Li, Kunang1;He, Hongwen1;Zhou, Jiaming1;Li, Jianwei1;Wei, Zhongbao1 (1Beijing Institute of Technology; Beijing Institute of Technology; Beijing Institute of Technology)
出处: ENERGY 2023 Vol.283
关键词: STATE
摘要: The air-conditioning system (ACS), as a high-power component on the fuel cell hybrid electric bus (FCHEB), has a significant impact on the whole vehic ...
作者: Ruan, Haokai1;He, Hongwen1;Wei, Zhongbao1;Quan, Zhongyi2;Li, Yunwei2 (1Beijing Inst Technol, Sch Mech Engn, Natl Engn Lab Elect Vehicles, Beijing 100081, Peoples R China.;2Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 2R3, Canada.)
出处: IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS 2023 Vol.11 No.4 P4393-4402
关键词: ONLINE STATE; VEHICLE; SOC; IDENTIFICATION
摘要: State of health (SOH) estimation is essential for life evaluation and health management of lithium-ion battery (LIB). This article proposes a novel SO ...
作者: Wang, Zexing1;He, Hongwen1;Peng, Jiankun2;Chen, Weiqi2;Wu, Changcheng2;Fan, Yi2;Zhou, Jiaxuan2 (1Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China.;2Southeast Univ, Sch Transportat, Nanjing 211102, Peoples R China.)
出处: ENERGY CONVERSION AND MANAGEMENT 2023 Vol.293
摘要: Energy management strategies (EMSs) are essential for hybrid electric vehicles (HEVs), as they can further exploit the potential of HEVs to save energ ...