State of Charge Estimation Function based on Kalman Filter
Citar como
F. Khanum, E. Louback, F. Duperly, C. Jenkins, P. J. Kollmeyer, and A. Emadi, “A Kalman Filter Based Battery State of Charge Estimation MATLAB Function,” in 2021 IEEE Transportation Electrification Conference & Expo, 2021, pp. 484 - 489.
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxEtiquetas
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.
Versión | Publicado | Notas de la versión | |
---|---|---|---|
3.1.0 | Update reference/citation: please reference the ITEC conference paper. |
||
3.0.0 | Bugfix: matrix C calculation
|
||
2.1.0 | Updated capacity to single values instead of being interpolated |
||
2.0.0 | Added temperature interpolation at each step within AEKF loop.
|
||
1.1.0 | Tuned Kalman Filter parameters for better current bias and offset results. |
||
1.0.0 |