Abstract
An analytical model to predict the maximum temperature rise in a battery cell or module given a certain cooling regime was developed. The novel analytical model combines a micromechanical model, to compute the effective thermal conductivity of the cells, with a solution of the heat equation. The boundary conditions, geometric parameters and material properties were varied in representative ranges. The temperature fields across the battery were predicted with a very good agreement between the analytical model and the numerical simulations, for a wide variety of configurations under steady-state conditions. The analytical solution can be used as a fast and reliable tool to estimate the heat transfer between the cells and their thermal management system. The results from the analytical model were compared to those estimated by an Artificial Neural Network and found to be equal or better in performance than a data-driven approach. An experimental validation of the analytically predicted temperatures of interest showed a very good agreement. The experimental results reveal the requirement for good thermal management solutions from an efficient energy conversion point of view.
NSTL
Elsevier