arXiv · 2208.05448
Coupling Temperature Distribution with the Single Particle Model
Abstract
The DFN (Doyle-Fuller-Newman) model is well know for being accurate and computationally expensive. In situations where temperature gradients are important (eg fast charging) it is desirable to couple the temperature dynamics within a battery into the DFN model. This leads to even greater computational complexity. Inspired by the work of Marquis et al [1] we present the derivation of a reduced-order model based on the DFN model with temperature in the macroscale. The complexity of the reduced-order model is characterised by the local temperature plus one internal electro-chemical dimension and the electrolyte dynamics is accounted for by a simple correction term.
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Matthew Hunt, Florian Theil, Ferran Brosa Planella, W. Dhammika Widanage. 2022-08-10. Coupling Temperature Distribution with the Single Particle Model. https://arxiv.org/abs/2208.05448
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