作者：Li, Shuangqi^{1, 2}; He, Hongwen¹; Zhao, Pengfei³; Cheng, Shuang²; （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, UK, Bath, United Kingdom;³The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing; 100190, China）

出处：Applied Energy 2022

关键词：Transportation electrification;Electric vehicles;Battery energy storage;Deep transfer learning;Battery management system;Battery state estimation

摘要：Establishing an accurate mathematical model is fundamental to managing, monitoring, and protecting the battery pack in electric vehicles (EVs). The ap ...

作者：Li, Shuangqi^{1, 2}; He, Hongwen¹; Zhao, Pengfei³; Cheng, Shuang²; （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, United Kingdom;³The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing; 100190, China）

出处：Applied Energy 2022

关键词：Big data;Internet of vehicle;Electric vehicles;Data cleaning;Battery management system;Battery state estimation

摘要：Battery is one of the most important and costly devices in electric vehicles (EVs). Developing an efficient battery management method is of great sign ...

作者：Yuecheng Li^1,2,3;Hongwen He^4,2;CA1;Yong Chen^1,2,3;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

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 ...

发明人：何洪文，黄汝臣

申请日期：2023.07.05

摘要：本发明提供了一种燃料电池汽车能量管理策略快速开发方法，通过将增强型SAC算法与迁移学习有机结合并充分发挥二者的优势，建立关联相似的能量管理策略训练任务，以及将从预训练过程中学习到的所有知识全部迁移并应用于新的能量管理任务中，实现了能量管理策略的跨车型迁移和复用，能够极大地缩短新车型的深度强化学习型能 ...

作者：Hongwen He¹;CA;Hongzhou Qin¹;Yuanpeng Shui¹;Karpenko Oleksandr²; （¹Beijing Institute of Technology, No.5 Zhongguancun South Street, Beijing, 100081, China;²Poltava National Technical Yuri Kondratyuk University, Pershotravneva Avenue 24, Poltava, 36011, Ukraine）

出处：Energy Procedia 2014

关键词：Electric vehicles;SoC estimation;Unscented Kalman filter;Battery management system;Battery-in-the-loop

摘要：To develop a battery management system for lithium-Ion batteries used in electric vehicles, the state of charge (SoC) estimation is improved with an u ...

作者：Su Qicong^1,2;，Huang Ruchen^1,2;，He Hongwen^1,2;，Han Xuefeng³; （¹School of Mechanical Engineering,Beijing Institute of Technology；²National Engineering Research Center of Electric Vehicles,Beijing Institute of Technology；³China North Vehicle Research Institute）

出处：2023中国汽车工程学会年会暨展览会 2023

关键词：deep learning；data-driven；hybrid electric tracked vehicle；energy management

摘要：This paper proposes a data-driven energy management strategy（EMS） for a series hybrid electric tracked vehicle（SHETV）.Firstly,according to the configu ...

作者：Jianwei Li¹;Shucheng He¹;Qingqing Yang¹;Zhongbao Wei¹;Yang Li¹;Hongwen He¹; （¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China）

出处：IEEE Transactions on Transportation Electrification 2023

关键词：Batteries;Transportation;Renewable energy sources;Costs;Aging;Power system stability;Industries

摘要：The accelerating market penetration of electric vehicles (EVs) raises important questions for both industry and academia: how to deal with potentially ...

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

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 ...

发明人：魏中宝，朱昱锦，何洪文

申请日期：2023.09.11

摘要：本发明提供一种燃料电池堆内温度估计方法，包括以下步骤：S1.采集燃料电池系统冷启动相关数据；S2.建立燃料电池电堆的离散化温度模型；S3.获取实验数据，建立水泵和冷却液模型；S4.利用IPSO算法辨识模型参数；S5.生成输入数据序列，训练LSTM模型，估计电堆温度；S6.利用无迹卡尔曼滤波器进一步减 ...

发明人：陈锦洲，何洪文

申请日期：2023.08.14

摘要：本发明提供了一种变海拔燃料电池系统功率实时优化方法，基于不同海拔对应的环境变化对燃料电池阴极空气供给系统模型进行了修正，有效提高了模型的准确性和适用性；设计的基于粒子群算法前馈的空压机工作电压最优控制率求解手段，使方法具有较强的实用性；通过扰动观察方式优化燃料电池系统净功率，其算法结构与实现相对简单 ...