Learning the Pseudo Two Dimensional model for lithium-ion batteries with State of Health detection
Engineering Applications of Artificial Intelligence, Vol. 163, pp. 113178,
Maricela Best McKay, R. Bhushan Gopaluni, Brian Wetton
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Abstract
This paper demonstrates that the Pseudo Two Dimensional (P2D) electrochemical model for lithium-ion batteries can be replaced by a computationally efficient Convolutional Neural Network surrogate model, and shows how the neural network can be adjusted to correspond to battery changes in State of Health (SOH).
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