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27 March 2015

7 Pages

Optimization of Li-Ion batteries through modelling techniques

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1
Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
2
Erasmus University College Brussels, IWT Nijverheidskaai 170, 1070 Anderlecht, Belgium
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Abstract

Battery performance and lifetime constitute a bottleneck for electric vehicles and stationary electric energy storage systems to penetrate the market. Electrochemical or physics based battery models are one of the engineering tools to enhance their performance. These models should enable us to optimize the cell design and the battery management system. In this study we evaluate the ability of the much used Porous Electrode Model (PEM) to predict the effect of changing cathode density in the overall performance of a Li-Ion cell. We conclude that the PEM is well capable of predicting battery discharge capacities for cells with changing cathode density.

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