An online battery–state of charge estimation method using the varying forgetting factor recursive least square - unscented Kalman filter algorithm on electric vehicles
Accurate and fast estimation of the state of charge is important for the battery management system of electric vehicles. This paper proposes a method to estimate the state of charge of Lithium-ion batteries by the variable forgetting factor recursive least square (VFFRLS) – unscented Kalman filter...
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| Published in: | International journal of electrical and computer engineering (Malacca, Malacca) Vol. 14; no. 3; p. 2541 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
01.06.2024
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| ISSN: | 2088-8708, 2722-2578 |
| Online Access: | Get full text |
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