Coupling Temperature Distribution with the Single Particle Model

2022/08/10 by Matthew Hunt, Florian Theil, Hunt, Matthew +5
Engineering · Physics and Astronomy · #Advanced Battery Technologies Research #Analysis of PDEs (math.AP) #Chemical Physics (physics.chem-ph) #FOS: Mathematics #FOS: Physical sciences #Fuel Cells and Related Materials #Spectroscopy and Quantum Chemical Studies

paper · pdf · doi:10.48550/arxiv.2208.05448

openalex publication_date 2022/08/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

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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