仓储作者

[外文会议论文] Research on Shift Control Strategy of Hybrid Electric Vehicle Based on an Improved DCT Configuration EI

作者： Julin, Hu¹; Wei, Yuji¹; He, Hongwen¹; Huang, Ruchen¹; Xing, Jie²

出处： 2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 Prague, Czech republic 2022

[中文期刊] 基于大数据的电动汽车用户行为对电池老化影响分析 CSCD

作者：梁海强;何洪文;代康伟;庞博（北京理工大学机械与车辆学院, 北京, 100081）

出处：汽车工程 2022 第44卷第8期 P1212-1217,1288

关键词：电动汽车；电池老化；大数据平台；用户行为

摘要：为探究用户的行为习惯对电动汽车电池老化的影响,本文基于大数据的统计分析方法,依托企业监管平台大量高品质的用户和车辆数据,开展了用户车辆所在地域、用户的充电方式偏好和驾驶风格对电池老化的影响规律研究。结果表明:随着电池平均运行温度的升高,电池容量衰减呈先减后增的趋势;北京用户的电池老化程度比广东用户整 ...

[中文期刊] 混合动力电动汽车能量管理技术研究综述 CSCD

作者：何洪文^1,2;孟祥飞^1,2 （¹北京理工大学, 电动车辆国家工程研究中心, 北京, 100081;²北京理工大学机械与车辆学院, 北京, 100081）

出处：北京理工大学学报 2022 第42卷第8期 P773-783

关键词：混合动力电动汽车；能量管理；机器学习；模型预测控制；能量管理策略

摘要：能量管理策略对于提高混合动力电动汽车的燃油经济性、保护系统的健康状态、以及减少温室气体排放具有至关重要的作用,但由于动力系统复杂的非线性结构以及在线应用的实时性要求,开发高效的能量管理策略仍是一项极具挑战性的任务.为此,本文对能量管理技术的研究进展进行了全面的总结.首先,综述目前混合动力电动汽车广泛 ...

[中文期刊] 基于充电数据的多阶段锂离子电池健康状态估计 CA CSCD 剑桥核源

作者：魏中宝，阮浩凯，何洪文（北京理工大学机械与车辆学院）

出处：北京理工大学学报 2022 第42卷第11期 P1184-1190

关键词：锂离子电池；健康因子；健康状态估计；机器学习算法；恒流；卷积神经网络

摘要：锂离子电池的健康状态估计是锂离子电池寿命评估和健康管理的基础.文中针对实际应用场景中充电数据的缺失，提出一种实用的多阶段电池的健康状态估计方法.研究中根据电压大小，将充电过程划分为3个阶段，分别提出了具有针对性的电池的健康状态估计方法.特别是对于恒流电压过渡阶段，在恒流数据和电压数据都严重缺失地情况 ...

[外文期刊] Co-optimization for fuel cell buses integrated with power system and air conditioning via multi-dimensional prediction of driving conditions SCIE EI

作者： Mei Yan;Hongyang Xu;Lisheng Jin;Hongwen He;Menglin Li;Haoran Liu （¹School of Vehicle and Energy, Yanshan University, Heibei 066004, PR China;²Hebei Key Laboratory of Special Delivery Equipment, Yanshan University, Heibei 066004, PR China;³National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, PR China）

出处： Energy Conversion and Management 2022 Vol.271 P116339

关键词： Co-optimization;Multi-dimensional driving conditions;Fuel cell buses;Air conditioning system;Velocity dynamic construction

摘要： The unknown future driving conditions of actual fuel cell buses (FCBs) and the complex coupling between energy-consuming components make the energy ma ...

[外文期刊] Adaptive Sliding Mode Control Integrating with RBFNN for Proton Exchange Membrane Fuel Cell Power Conditioning SCIE

作者： Xiao, Xuelian¹;Lv, Jianguo¹;Chang, Yuhua²;Chen, Jinzhou³;He, Hongwen³; （¹China North Vehicle Research Institute, Beijing, 100072, China;²Faculty of Automotive and Construction Machinery Engineering, Warsaw University of Technology, Warszawa, 00-661, Poland;³School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China）

出处： Applied Sciences (Switzerland) 2022 Vol.12 No.6 P3132

关键词： DC-DC CONVERTER;NEURAL-NETWORK;PREDICTIVE CONTROL;STABILITY ANALYSIS;ENERGY MANAGEMENT;BUCK CONVERTER;DESIGN;SYSTEM

摘要： Proton exchange membrane fuel cells (PEMFC) are considered a promising solution for renewable energy application. To meet industrial requirements, the ...

[外文期刊] Edge computing for vehicle battery management: Cloud-based online state estimation SCIE EI

作者： Shuangqi Li;Hongwen He;Zhongbao Wei;Pengfei Zhao （¹National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China;²Department of Electronic and Electrical Engineering, University of Bath, Bath, UK;³The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China）

出处： Journal of Energy Storage 2022 Vol.55 Part B P105502

关键词： Electric vehicle;Battery management system;Edge computing;Deep learning;Battery energy storage;State estimation

摘要： The adoption of electric vehicles (EVs), including battery EVs and hybrid EVs, makes it possible to reduce fossil fuel consumption and greenhouse gas ...

[外文期刊] Voltage abnormality-based fault diagnosis for batteries in electric buses with a self-adapting update model SCIE EI

作者： He,Hongwen¹;Zhao,Xuyang¹;Li,Jianwei¹;Wei,Zhongbao¹;Huang,Ruchen¹;Jia,Chunchun¹; （¹National Engineering Laboratory for Electric Vehicles, School of Mechanical Engineering, Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing, 100081, China）

出处： Journal of Energy Storage 2022 Vol.53

摘要： This study aims to solve the key issue for electric buses on how to improve the accuracy and reliability of battery fault diagnosis with the emerging ...

[外文期刊] Parameterized deep Q-network based energy management with balanced energy economy and battery life for hybrid electric vehicles SCIE EI

作者： Wang,Hao¹;He,Hongwen¹;Bai,Yunfei¹;Yue,Hongwei¹; （¹National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, 100081, China）

出处： Applied Energy 2022 Vol.320

摘要： Energy management strategy (EMS) is an essential technique to ensure the long- term driving economy of hybrid electric vehicles (HEVs). The complicate ...

[外文期刊] Backstepping sliding-mode techniques in current control of polymer electrolyte membrane fuel cell SCIE EI

作者： Yin,Peng¹;Guo,Jinquan¹;He,Hongwen¹; （¹National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, 100081, China）

出处： Control Engineering Practice 2022 Vol.124

摘要： The polymer electrolyte membrane fuel cell (PEMFC) power conditioning is particularly crucial for a fuel cell vehicle to meet various load demands eff ...