|
|
摘要： Lithium ion batteries have been widely applied in electric vehicles (EVs), thousands of batteries connected in series or parallel to drive the EVs, so, it is necessary to monitor the states of lithium ion batterie, especially the state of charge (SoC). The open circuit voltage (OCV) is essential for SoC estimation and often predetermined by oMine OCV test data. In this paper, the incremental OCV test method and low-current OCV test method are introduced and compared at three temperatures. In addition, a joint estimation method is proposed to update the parameter and state in real-time. The experiments are conducted on LiFePO4 cells. The experimental results show that the incremental OCV test is reliable and suitable to determine the OCV-SoC relationship than the low-current OCV test. |
部分图片：
|
| 
图1 OCV-SoC curves and errors of two OCV tests | 
图2 Results of two estimators at 40°C | 引文信息： Xiong R , Yu Q , Sun F . A study on the inflence of two OCV tests on state of charge estimation of lithium ion battery[C]// 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2017. (下载链接) | 其他相关论文： 1. Yu Q , Xiong R , Lin C , et al. Lithium-Ion Battery Parameters and State-of-Charge Joint Estimation Based on H-Infinity and Unscented Kalman Filters[J]. IEEE Transactions on Vehicular Technology, 2017, 66(10):8693-8701.（下载链接）
2. Xiong R, Yu Q, Lin C. A novel method to obtain the open circuit voltage for the state of charge of lithium ion batteries in electric vehicles by using H infinity filter[J]. Applied energy, 2017, 207: 346-353. (下载链接)
|
|