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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| Vydané v: | International journal of electrical and computer engineering (Malacca, Malacca) Ročník 14; číslo 3; s. 2541 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
01.06.2024
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| ISSN: | 2088-8708, 2722-2578 |
| On-line prístup: | Získať plný text |
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