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.
@article{arxiv.2208.05448,
title = {Coupling Temperature Distribution with the Single Particle Model},
author = {Matthew Hunt and Florian Theil and Ferran Brosa Planella and W. Dhammika Widanage},
journal= {arXiv preprint arXiv:2208.05448},
year = {2022}
}