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Extended Rauch–Tung–Striebel Smoother for the State of Charge Estimation of Lithium-Ion Batteries Based on an Enhanced Circuit Model
| Content Provider | MDPI |
|---|---|
| Author | Jiang, Yinfeng Song, Wenxiang Zhu, Hao Zhu, Yun Du, Yongzhi Yin, Huichun |
| Copyright Year | 2022 |
| Description | The state of charge (SOC) of a lithium battery system is critical since it indicates the remaining operating hours, full charge time, and peak power of the battery. This paper recommends an extended Rauch–Tung–Striebel smoother (ERTSS) for estimating SOC. It is implemented based on an improved equivalent circuit model with hysteresis voltage. The smoothing step of ERTSS will reduce the estimation error further. Additionally, the genetic algorithm (GA) is employed for searching the optimal ERTSS’s smoothing time interval. Various dynamic cell tests are conducted to verify the model’s accuracy and error estimation deviation. The test results demonstrate that ERTSS’s SOC estimation error is limited to |
| Starting Page | 963 |
| e-ISSN | 19961073 |
| DOI | 10.3390/en15030963 |
| Journal | Energies |
| Issue Number | 3 |
| Volume Number | 15 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2022-01-28 |
| Access Restriction | Open |
| Subject Keyword | Energies Hardware and Architecturee State of Charge Lithium-ion Battery Extended Kalman Filter Extended Rauch–tung–striebel Smoother Equivalent Circuit Model Parameter Identification |
| Content Type | Text |
| Resource Type | Article |
