仓储作者

[外文期刊] A Novel Minimal-Cost Power Allocation Strategy for Fuel Cell Hybrid Buses Based on Deep Reinforcement Learning Algorithms SCIE SCIE

作者： Li, Kunang¹;Jia, Chunchun¹;Han, Xuefeng²;He, Hongwen¹; （¹National Engineering Research Center for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;²China North Vehicle Research Institute, Beijing, 100072, China）

出处： Sustainability (Switzerland) 2023 Vol.15 No.10

摘要： Energy management strategy (EMS) is critical for improving the economy of hybrid powertrains and the durability of energy sources. In this paper, a no ...

[外文期刊] From Grayscale Image to Battery Aging Awareness—A New Battery Capacity Estimation Model With Computer Vision Approach SCIE

作者： Xuyang Zhao¹;Hongwen He¹;Jianwei Li¹;Zhongbao Wei¹;Ruchen Huang¹;Man Shi¹; （¹National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing, China）

出处： IEEE Transactions on Industrial Informatics 2023 Vol.19 No.8 P8965-8975

关键词： Batteries;Estimation;Feature extraction;Computational modeling;Aging;Computer vision;Voltage measurement

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

[外文期刊] Auto-tuning Dynamics Parameters of Intelligent Electric Vehicles via Bayesian Optimization SCIE

作者： Wang, Yong¹; Lian, Renzong²; He, Hongwen¹; Betz, Johannes³; Wei, Hongqian⁴; （¹School of Mechanical Engineering, National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Haidian District, China;²Shenzhen Internation Graduate School, Tsinghua University, Shenzhen, China;³Professorship Autonomous Vehicle Systems, Technical University of Munich, Garching, Germany;⁴School of Mechanical Engineering, Beijing Institute of Technology, Haidian District, China）

出处： IEEE Transactions on Transportation Electrification 2023 P1

关键词： Adaptation models;Bayes methods;Bayesian optimization;Four-wheel independently driven;Intelligent electric vehicles;Mathematical models;Optimization;Parameter tuning;Tires;Vehicle dynamics;Vehicle dynamics model;Wheels

摘要： The vehicle dynamics model is a fundamental prerequisite for advanced software development for intelligent vehicles. This incites the need for accurat ...

[外文期刊] An Economic Driving Energy Management Strategy for the Fuel Cell Bus SCIE

作者： Guo, Jinquan¹;He, Hongwen¹;Wei, Zhongbao¹;Li, Jianwei¹ （¹Beijing Inst Technol, Sch Mech Engn, Beijing 100081, Peoples R China.）

出处： IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION 2023 Vol.9 No.4 P5074-5084

关键词： SYSTEM

摘要： Compared with passenger cars, the fuel cell bus (FCB) driving cycles have obvious periodicity. Therefore, based on the driving cycles' periodicity cha ...

[外文期刊] Lithium-ion Battery State of Health Estimation Based on Real-world Driving Data EI

作者： He, Hongwen^{1, 2}; Wang, Haoyu^{1, 2}; Wang, Yong^{1, 2}; Li, Shuangqi^{1, 2} （¹National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing; 100081, China;²School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China）

出处： Jixie Gongcheng Xuebao/Journal of Mechanical Engineering 2023 Vol.59 No.22 P46-58

[外文期刊] A novel health-aware deep reinforcement learning energy management for fuel cell bus incorporating offline high-quality experience SCIE EI

作者： Chunchun Jia¹;Hongwen He^1,2;CA1;Jiaming Zhou³;Jianwei Li^1,2;Zhongbao Wei¹;Kunang Li¹; （¹Department of Vehicle Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China;²Yangtze Delta Region Institute of Beijing Institute of Technology, Zhejiang, 314001, China;³School of Intelligent Manufacturing, Weifang University of Science and Technology, Weifang, 262700, China）

出处： Energy 2023 Vol.282 P128928

摘要： Data-driven intelligent energy management strategy (EMS) helps to further improve the performance and efficiency of fuel cell hybrid electric bus (FCH ...

[外文期刊] Energy management optimization for connected hybrid electric vehicle using offline reinforcement learning SCIE EI

作者： He, Hongwen¹; Niu, Zegong¹; Wang, Yong¹; Huang, Ruchen¹; Shou, Yiwen¹ （¹National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing; 100081, China）

出处： Journal of Energy Storage 2023

[外文期刊] Safety and Longevity-Enhanced Energy Management of Fuel Cell Hybrid Electric Vehicle with Machine Learning Approach SCIE EI

作者： Song, Ruoyang¹; Liu, Xinghua²; Wei, Zhongbao¹; Pan, Fengwen³; Wang, Yanbo³; He, Hongwen¹ （¹School of Mechanical Engineering, National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, China;²School of Electrical Engineering, Xi'an University of Technology, China;³National Center of Technology Innovation for Fuel Cell, China）

出处： IEEE Transactions on Transportation Electrification 2023 P1-1

[外文期刊] Research on Lithium Ion Battery Life Prediction Method Based on Empirical Aging Model and Mechanism Model for Electric Vehicles EI

作者： Liang, Haiqiang^{1, 3}; He, Hongwen¹; Dai, Kangwei²; Pang, Bo³; Wang, Peng¹ （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing; 100081, China;²Beijing New Energy Automobile Company Limited, Beijing; 101399, China;³Beijing Automotive Technology Center Company Limited, Beijing; 101399, China）

出处： Qiche Gongcheng/Automotive Engineering 2023 Vol.45 No.5 P825-835+844

[中文期刊] 我国综合交通工程科技现状及未来发展核源

作者：何洪文，孙逢春，李梦林（电动车辆国家工程研究中心；北京理工大学机械与车辆学院；燕山大学车辆与能源学院）

出处：中国工程科学 2023 第6期

关键词：综合交通；工程科技；智能网联；智慧调度；立体交通

摘要：深入探讨综合交通工程科技发展的需求目标和共性难题，有助于推动我国综合交通的持续进步。本文从道路交通、轨道交通、水路交通、航空交通、城市综合交通5个维度梳理了我国交通工程科技的发展现状，总结了由交通系统网联化、交通出行共享化、交通管控智慧化、交通运载运行协同化、交通布局立体化表征的我国综合交通工程科技 ...