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State-of-Health (SOH) and State-of-Charge (SOC) Estimation for Lithium-ion Battery under Fast-Charging
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| Author(s) |
Xuelu WANG, Toufik AZIB, Jianwen MENG, Khelil SIDI BRAHIM |
| Abstract |
This paper presents two models for lithium-ion battery SOC and SOH estimation using a Toyota Research Institute dataset. A Random Forest Regressor predicts SOH after 10 cycles, while an LSTM neural network estimates real-time SOC. Both models show high accuracy, contributing to advanced health-aware energy management in electric vehicles. |
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| Filename: | 0177-epe2025-full-19185789.pdf |
| Filesize: | 2.362 MB |
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| Type |
Members Only |
| Date |
Last modified 2025-08-31 by System |
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