A Comparative Study on State of Charge Estimation using EKF and IEKF
The nature of the “Portable Intelligent Micro Device for Hemodialysis” system requires a mobile electrical energy source capable of providing the essential power for efficient system operation. A battery with a management system can ensure this operation, the first target is to model the battery wit...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00091.pdf |
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| author | Derouech Yassine Mesbahi Abdelouahed |
| author_facet | Derouech Yassine Mesbahi Abdelouahed |
| author_sort | Derouech Yassine |
| collection | DOAJ |
| description | The nature of the “Portable Intelligent Micro Device for Hemodialysis” system requires a mobile electrical energy source capable of providing the essential power for efficient system operation. A battery with a management system can ensure this operation, the first target is to model the battery with a simple model capable of combining the various internal and external parameters that can affect battery behavior, then we develop the equations required to compose the two filters “Extended Kalman Filter” and “Invariant Extended Kalman Filter” in order to guarantee the estimation of the state of charge, which is a key element for the desired operation, and finally a MATLAB/Simulink simulation to compare the two filters, which reveals the IEKF filter’s performance in terms of stability and precision. |
| format | Article |
| id | doaj-art-614bf0bd12164f83ab0b26663c0aede9 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-614bf0bd12164f83ab0b26663c0aede92025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010009110.1051/e3sconf/202560100091e3sconf_icegc2024_00091A Comparative Study on State of Charge Estimation using EKF and IEKFDerouech Yassine0Mesbahi Abdelouahed1Laboratory Energy and Electrical Systems, National Higher School of Electricity and Mechanics, Hassan II UniversityLaboratory Energy and Electrical Systems, National Higher School of Electricity and Mechanics, Hassan II UniversityThe nature of the “Portable Intelligent Micro Device for Hemodialysis” system requires a mobile electrical energy source capable of providing the essential power for efficient system operation. A battery with a management system can ensure this operation, the first target is to model the battery with a simple model capable of combining the various internal and external parameters that can affect battery behavior, then we develop the equations required to compose the two filters “Extended Kalman Filter” and “Invariant Extended Kalman Filter” in order to guarantee the estimation of the state of charge, which is a key element for the desired operation, and finally a MATLAB/Simulink simulation to compare the two filters, which reveals the IEKF filter’s performance in terms of stability and precision.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00091.pdf |
| spellingShingle | Derouech Yassine Mesbahi Abdelouahed A Comparative Study on State of Charge Estimation using EKF and IEKF E3S Web of Conferences |
| title | A Comparative Study on State of Charge Estimation using EKF and IEKF |
| title_full | A Comparative Study on State of Charge Estimation using EKF and IEKF |
| title_fullStr | A Comparative Study on State of Charge Estimation using EKF and IEKF |
| title_full_unstemmed | A Comparative Study on State of Charge Estimation using EKF and IEKF |
| title_short | A Comparative Study on State of Charge Estimation using EKF and IEKF |
| title_sort | comparative study on state of charge estimation using ekf and iekf |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00091.pdf |
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