| 3rd International Conference on Energy Engineering and Environmental Protection | |
| Detection method of battery working status for electric vehicle based on real-time vehicle condition | |
| 能源学;生态环境科学 | |
| Li, Yongpan^1 ; Chen, Huafeng^1 ; Wei, Weien^2 ; Huang, Anzi^1 ; Huang, Longmao^1 ; Lu, Yiqi^3 ; Xie, Da^3 | |
| Shenzhen Power Supply Co. Ltd, Luohu District Shenzhen | |
| 518001, China^1 | |
| Shenzhen Comtop Information Technology Co Ltd, 518034, China^2 | |
| Shanghai Jiao Tong University, Minhang District Shanghai | |
| 200240, China^3 | |
| 关键词: Changing trends; Detection methods; Internal resistance; Ohmic resistance; Power batteries; Research topics; Vehicle condition; Vehicle maintenance; | |
| Others : https://iopscience.iop.org/article/10.1088/1755-1315/227/4/042038/pdf DOI : 10.1088/1755-1315/227/4/042038 |
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| 学科分类:环境科学(综合) | |
| 来源: IOP | |
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【 摘 要 】
With the popularization of electric vehicles, the maintenance of power batteries has gradually become a major research topic in the maintenance of electric vehicles. This paper proposes a battery aging detection method based on the real-time vehicle condition of electric vehicles. Through the monitoring of current changes, the change of ohmic internal resistance of power battery is observed. And through the SOC changing trend when the electric vehicle is running, the battery health status is estimated, thereby effectively providing a reference for the user's electric vehicle maintenance. According to changes in the SOC, SOH, and ohmic resistance of the power battery, it is determined whether the power battery needs to be replaced.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Detection method of battery working status for electric vehicle based on real-time vehicle condition | 604KB |
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