State of Charge Estimation of LiFePO<sub>4</sub> in Various Temperature Scenarios
The state estimation of a battery is a significant component of a BMS. Due to the poor temperature performance and voltage plateau phase in LiFePO<sub>4</sub> batteries, the difficulty of state estimation is greatly increased. At the same time, the ambient temperature in which the batter...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Batteries |
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| Online Access: | https://www.mdpi.com/2313-0105/9/1/43 |
| _version_ | 1827628619986370560 |
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| author | Mingzhu Wang Guan Wang Zhanlong Xiao Yuedong Sun Yuejiu Zheng |
| author_facet | Mingzhu Wang Guan Wang Zhanlong Xiao Yuedong Sun Yuejiu Zheng |
| author_sort | Mingzhu Wang |
| collection | DOAJ |
| description | The state estimation of a battery is a significant component of a BMS. Due to the poor temperature performance and voltage plateau phase in LiFePO<sub>4</sub> batteries, the difficulty of state estimation is greatly increased. At the same time, the ambient temperature in which the battery operates is changeable, and its parameters will vary with the temperature. Therefore, it is extremely challenging to estimate the state of LiFePO<sub>4</sub> batteries under variable temperatures. In an effort to accurately estimate the SOC of LiFePO<sub>4</sub> batteries at different and variable temperatures, as well as its capacity at low temperature, the characteristics of LiFePO<sub>4</sub> batteries at different temperatures are first tested. In addition, a variable temperature OCV experiment is designed to obtain the OCV of the full SOC range. Then, the ECM considering temperature is established and all parameters are identified by PSO. Finally, an improved EKF algorithm is presented to accurately estimate the SOC of LiFePO<sub>4</sub> batteries at different and variable temperatures. Meanwhile, the battery capacity at low temperature is further estimated based on the estimated SOC result. The results show that SOC estimation errors at variable temperature are all within 3%, and the capacity estimation errors at low temperature are all within 1%. |
| first_indexed | 2024-03-09T13:35:03Z |
| format | Article |
| id | doaj.art-690b6030ddc74859bc375f7896c51384 |
| institution | Directory Open Access Journal |
| issn | 2313-0105 |
| language | English |
| last_indexed | 2024-03-09T13:35:03Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Batteries |
| spelling | doaj.art-690b6030ddc74859bc375f7896c513842023-11-30T21:12:51ZengMDPI AGBatteries2313-01052023-01-01914310.3390/batteries9010043State of Charge Estimation of LiFePO<sub>4</sub> in Various Temperature ScenariosMingzhu Wang0Guan Wang1Zhanlong Xiao2Yuedong Sun3Yuejiu Zheng4College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaCollege of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, ChinaThe state estimation of a battery is a significant component of a BMS. Due to the poor temperature performance and voltage plateau phase in LiFePO<sub>4</sub> batteries, the difficulty of state estimation is greatly increased. At the same time, the ambient temperature in which the battery operates is changeable, and its parameters will vary with the temperature. Therefore, it is extremely challenging to estimate the state of LiFePO<sub>4</sub> batteries under variable temperatures. In an effort to accurately estimate the SOC of LiFePO<sub>4</sub> batteries at different and variable temperatures, as well as its capacity at low temperature, the characteristics of LiFePO<sub>4</sub> batteries at different temperatures are first tested. In addition, a variable temperature OCV experiment is designed to obtain the OCV of the full SOC range. Then, the ECM considering temperature is established and all parameters are identified by PSO. Finally, an improved EKF algorithm is presented to accurately estimate the SOC of LiFePO<sub>4</sub> batteries at different and variable temperatures. Meanwhile, the battery capacity at low temperature is further estimated based on the estimated SOC result. The results show that SOC estimation errors at variable temperature are all within 3%, and the capacity estimation errors at low temperature are all within 1%.https://www.mdpi.com/2313-0105/9/1/43variable temperature conditionLiFePO<sub>4</sub> batteryleast squaresextended Kalman filterstate estimation |
| spellingShingle | Mingzhu Wang Guan Wang Zhanlong Xiao Yuedong Sun Yuejiu Zheng State of Charge Estimation of LiFePO<sub>4</sub> in Various Temperature Scenarios Batteries variable temperature condition LiFePO<sub>4</sub> battery least squares extended Kalman filter state estimation |
| title | State of Charge Estimation of LiFePO<sub>4</sub> in Various Temperature Scenarios |
| title_full | State of Charge Estimation of LiFePO<sub>4</sub> in Various Temperature Scenarios |
| title_fullStr | State of Charge Estimation of LiFePO<sub>4</sub> in Various Temperature Scenarios |
| title_full_unstemmed | State of Charge Estimation of LiFePO<sub>4</sub> in Various Temperature Scenarios |
| title_short | State of Charge Estimation of LiFePO<sub>4</sub> in Various Temperature Scenarios |
| title_sort | state of charge estimation of lifepo sub 4 sub in various temperature scenarios |
| topic | variable temperature condition LiFePO<sub>4</sub> battery least squares extended Kalman filter state estimation |
| url | https://www.mdpi.com/2313-0105/9/1/43 |
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