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RISUnderstanding Pitfalls and Opportunities in Estimating Parameters of a Physics-Based Battery Model Using a Machine Learning Based Method—A Case Study With Long Short-Term Memory Neural Network
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Li-ion batteries' design parameters and material properties, such as porosity, electrode thickness, and solid-phase diffusivities, typically vary substantially due to different design goals as well as variations ...