Electronic Load for Parameter Characterization in Equivalent Circuit Models of Lithium-Ion Batteries
The applications and implemented volume of lithium-ion batteries have been gaining momentum each year. Aiming to contribute to the development of research in this area, this paper presents the design and implementation of an electronic load focused on characterizing parameters inherent to equivalent...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | Brasil |
| Recursos: | Associação Brasileira de Eletrônica de Potência (SOBRAEP) |
| Repositorio: | Eletrônica de Potência (Online) |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs2.journal.sobraep.org.br:article/1007 |
| Acesso em linha: | https://journal.sobraep.org.br/index.php/rep/article/view/1007 |
| Access Level: | acceso abierto |
| Palavra-chave: | Electronic Load Parameter Characterization Equivalent Circuit Models State of Charge Extended Kalman Filter |
| Resumo: | The applications and implemented volume of lithium-ion batteries have been gaining momentum each year. Aiming to contribute to the development of research in this area, this paper presents the design and implementation of an electronic load focused on characterizing parameters inherent to equivalent circuit models (ECM). ECMs are commonly applied for estimating the State of Charge (SoC), State of Health (SoH), and Remaining Useful Life (RUL) of lithium batteries. In this paper, an electrical design of an electronic load was implemented and validated through laboratory instrumentation to obtain characteristic data from a lithium titanate cell. The data from the tests performed on the cell were used as input for a SoC estimation algorithm based on the Extended Kalman Filter (EKF) to help corroborate the prototype's performance. The results comprise the performance of the electronic load, the results associated with the parameterization tests of the lithium cells, and the results obtained for the cell’s SoC estimation using the EKF. |
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