A Joint Forgetting Factor-Based Adaptive Extended Kalman Filtering Approach to Predict the State-of-Charge and Model Parameter of Lithium-Ion Battery
The accuracy of model-based State of Charge (SOC) estimators often degrades due to parametric uncertainty, measurement errors, and variations in operating temperature. Many Kalman filter-driven SOC estimators in the literature overlook these uncertainties, leading to imprecise SOC estimation. To add...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10851262/ |
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