| Autor: |
Bachir Belmadani, Maamar Souaihia, Abdelatif Gadoum, Fayçal Chabni |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Advances in Green Energies and Materials Technology ISBN: 9789811603778 |
| DOI: |
10.1007/978-981-16-0378-5_15 |
| Popis: |
This paper presents a comparison of two strategies of estimation the state of charge (SOC) for Lithium-ion battery. Since the SOC cannot be directly measured, the extended Kalman filter (EKF) and modified sliding mode observer (SMO) algorithms were applied and compared to investigate the convergence, tracking accuracy and robust estimation against uncertainties. First-order Thevenin electrical circuit model (ECM) has been established to capture the dynamics of the battery and its parameters were extracted from experiment. Both algorisms are evaluated by two current profiles to show the efficiency of each one. The comparison results show the effectiveness of SMO in terms of execution time, robust estimation and capability of tracking in SOC estimation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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