State-of-Charge Estimation of Lithium-Ion Batteries in Parallel for Electric Vehicles Using Improved Square Root Unscented Kalman Filter
An accurate state of charge (SOC) estimation is crucial for battery applications. Traditional model-based methods have difficulty addressing parameter mismatches and measurement errors, whereas the Kalman filter method faces challenges in handling non-Gaussian noise. In this paper, an improved squar...
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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/11045903/ |
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