ShanghaiTech University Knowledge Management System
| A Battery State of Health Prediction Framework Considering User Behavior for On-road Electric Vehicles | |
| 2024-06-21 | |
| 会议录名称 | 2024 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC)
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| ISSN | 2377-5483 |
| 发表状态 | 已发表 |
| DOI | 10.1109/ITEC60657.2024.10598855 |
| 摘要 | This paper proposes a battery state of health (SOH) prediction framework based on a field dataset of 200 on-road electric vehicles collected during June 2022 to June 2023. 21 user charging and driving behavior features are extracted from the field data. A long short term memory (LSTM) neural network is employed to predict the battery SOH. The impacts of the 21 features on the battery SOH degradation are ranked. |
| 关键词 | Battery management systems Behavioral research Brain Electric vehicles Forecasting Roads and streets Secondary batteries Battery state of health Driving behaviour Field data Health degradation Neural-networks On-road electric vehicle State of health User behaviors |
| 会议名称 | 2024 IEEE Transportation Electrification Conference and Expo, ITEC 2024 |
| 会议地点 | Chicago, IL, USA |
| 会议日期 | 19-21 June 2024 |
| URL | 查看原文 |
| 收录类别 | EI |
| 语种 | 英语 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| EI入藏号 | 20243216848648 |
| EI主题词 | Long short-term memory |
| EI分类号 | 406.2 Roads and Streets ; 461.1 Biomedical Engineering ; 461.4 Ergonomics and Human Factors Engineering ; 702.1.2 Secondary Batteries ; 971 Social Sciences |
| 原始文献类型 | Conference article (CA) |
| 来源库 | IEEE |
| 引用统计 | 正在获取...
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| 文献类型 | 会议论文 |
| 条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/408377 |
| 专题 | 信息科学与技术学院_硕士生 信息科学与技术学院_PI研究组_杨恒昭组 |
| 作者单位 | 1.ShanghaiTech University, Shanghai, China 2.Shanghai Electric Vehicle Public Data Collecting, Monitoring, and Research Center, Shanghai, China |
| 第一作者单位 | 上海科技大学 |
| 第一作者的第一单位 | 上海科技大学 |
| 推荐引用方式 GB/T 7714 | Yifei Xu,Yingjie Zhang,Wenjin Yang,et al. A Battery State of Health Prediction Framework Considering User Behavior for On-road Electric Vehicles[C]:Institute of Electrical and Electronics Engineers Inc.,2024. |
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