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Comprehensive performance comparison among different types of features in data-driven battery state of health estimation
In this study, a physics-informed Gaussian process regression (GPR) model is developed for battery SOH estimation, with the performance being systematically compared with that of different types of features and machine learning (ML) methods.
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