State of charge estimation by using extended Kalman filter based on improved open circuit voltage model
| Autor: | Maamar Souaihia, Bachir Belmadani, Rachid Taleb, Kamel Tounsi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Battery (electricity)
Computer science Open-circuit voltage State of charge Battery modeling Hardware_PERFORMANCEANDRELIABILITY Extended Kalman filter Computer Science::Hardware Architecture Hardware_GENERAL Electrical battery Control theory Lithium-ion battery Hardware_INTEGRATEDCIRCUITS Computer Science::Networking and Internet Architecture Equivalent circuit MATLAB Computer Science::Operating Systems computer Voltage computer.programming_language |
| Zdroj: | International Journal of Applied Power Engineering (IJAPE). 10:1 |
| ISSN: | 2722-2624 2252-8792 |
| DOI: | 10.11591/ijape.v10.i1.pp1-10 |
| Popis: | This paper focuses on the state of charge estimation (SOC) for battery Li-ion. By modeling a battery based on the equivalent circuit model, the extended Kalman filter approach can be applied to estimate the battery SOC. An electrical battery model is developed in Matlab, Where the structure of the model is detailed by equations and blocks. The battery model has been validated from the experiment results. The comparison shows a good agreement in predicting the voltage, SOC estimation and the model performs better in SOC estimation. |
| Databáze: | OpenAIRE |
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