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Bootstrap-Based Sparse Modeling for Temperature-Dependent State-of-Charge Prediction of Batteries
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Data-driven modeling of complex systems, such as Li-ion batteries with explicit terms, has shown promising results. However, these methods typically work on a single dataset and are sensitive to noise. Here, we ...
Data-Driven Discovery of Lithium-Ion Battery State of Charge Dynamics
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We present a physics-inspired input/output predictor of lithium-ion batteries (LiBs) for online state-of-charge (SOC) prediction. The complex electrochemical behavior of batteries results in nonlinear and high-dimensional ...
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