A Novel Method for Accurate SoC Estimation in LiFePO4 Batteries
Researchers from Pandit Deendayal Energy University have published a groundbreaking study in the journal Green Energy and Intelligent Transportation, demonstrating the application of optimized Artificial Neural Networks (ANN) and principal components-based feature creation for State of Charge (SoC) estimation in LiFePO4 batteries.
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