SOC estimation of lithium-ion battery considering the influence of discharge rate
When the battery is used under the condition of the intermittent pulse discharge with gradually decreasing amplitude, its parameters change largely and it is not easy to predict its state of charge (SOC) with precision. As a solution, a second-order RC equivalent circuit model of Li-ion battery with...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484721009057 |
| _version_ | 1818716867528753152 |
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| author | Yin Jin Wenchun Zhao Zhixin Li Baolong Liu Kaisong Wang |
| author_facet | Yin Jin Wenchun Zhao Zhixin Li Baolong Liu Kaisong Wang |
| author_sort | Yin Jin |
| collection | DOAJ |
| description | When the battery is used under the condition of the intermittent pulse discharge with gradually decreasing amplitude, its parameters change largely and it is not easy to predict its state of charge (SOC) with precision. As a solution, a second-order RC equivalent circuit model of Li-ion battery with consideration of the influence of discharge rate is developed. Firstly, to identify related parameter of battery model through the battery test data at different rates. Critical parameters are configured as the function related to the current. Secondly, to develop the state equation and the observed equation of the battery over the improved parameter model. Finally, to exercise the extended Kalman filter (EKF) algorithm for the estimations of battery’s SOC. Experiments indicate that, under the condition of the intermittent pulse discharge with gradually decreasing amplitude, compared with the case without considering the effect of discharge rate, by applying the improved battery model, the deviation in the process of SOC estimation can be effectively corrected and the precision for estimating SOC can be significantly ameliorated. |
| first_indexed | 2024-12-17T19:26:05Z |
| format | Article |
| id | doaj.art-9af9879465cd493d977b5e05660cc89d |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-12-17T19:26:05Z |
| publishDate | 2021-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-9af9879465cd493d977b5e05660cc89d2022-12-21T21:35:23ZengElsevierEnergy Reports2352-48472021-11-01714361446SOC estimation of lithium-ion battery considering the influence of discharge rateYin Jin0Wenchun Zhao1Zhixin Li2Baolong Liu3Kaisong Wang4College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, ChinaCollege of Electrical Engineering, Naval University of Engineering, Wuhan 430033, ChinaCorresponding author.; College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, ChinaCollege of Electrical Engineering, Naval University of Engineering, Wuhan 430033, ChinaCollege of Electrical Engineering, Naval University of Engineering, Wuhan 430033, ChinaWhen the battery is used under the condition of the intermittent pulse discharge with gradually decreasing amplitude, its parameters change largely and it is not easy to predict its state of charge (SOC) with precision. As a solution, a second-order RC equivalent circuit model of Li-ion battery with consideration of the influence of discharge rate is developed. Firstly, to identify related parameter of battery model through the battery test data at different rates. Critical parameters are configured as the function related to the current. Secondly, to develop the state equation and the observed equation of the battery over the improved parameter model. Finally, to exercise the extended Kalman filter (EKF) algorithm for the estimations of battery’s SOC. Experiments indicate that, under the condition of the intermittent pulse discharge with gradually decreasing amplitude, compared with the case without considering the effect of discharge rate, by applying the improved battery model, the deviation in the process of SOC estimation can be effectively corrected and the precision for estimating SOC can be significantly ameliorated.http://www.sciencedirect.com/science/article/pii/S2352484721009057Lithium-ion batteryCurrent-dependent modelState of chargeEKF (Extended Kalman filter) |
| spellingShingle | Yin Jin Wenchun Zhao Zhixin Li Baolong Liu Kaisong Wang SOC estimation of lithium-ion battery considering the influence of discharge rate Energy Reports Lithium-ion battery Current-dependent model State of charge EKF (Extended Kalman filter) |
| title | SOC estimation of lithium-ion battery considering the influence of discharge rate |
| title_full | SOC estimation of lithium-ion battery considering the influence of discharge rate |
| title_fullStr | SOC estimation of lithium-ion battery considering the influence of discharge rate |
| title_full_unstemmed | SOC estimation of lithium-ion battery considering the influence of discharge rate |
| title_short | SOC estimation of lithium-ion battery considering the influence of discharge rate |
| title_sort | soc estimation of lithium ion battery considering the influence of discharge rate |
| topic | Lithium-ion battery Current-dependent model State of charge EKF (Extended Kalman filter) |
| url | http://www.sciencedirect.com/science/article/pii/S2352484721009057 |
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