A hybrid data-driven framework considering feature extraction for battery state of health estimation and life prediction
A Hybrid Data-Driven Framework for Battery State of Health Estimation A Hybrid Data-Driven Framework for Battery State of Health Estimation In the realm of battery technology, accurately estimating the state of health (SoH) of a battery is crucial for optimizing performance and predicting its remaining lifespan. A hybrid data-driven framework that incorporates advanced feature extraction techniques has emerged as a promising approach to address this challenge. Understanding Battery State of Health The state of health
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