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World Electric Vehicle Journal is published by MDPI from Volume 9 issue 1 (2018). Articles in this Issue were published by The World Electric Vehicle Association (WEVA) and its member the European Association for e-Mobility (AVERE), the Electric Drive Transportation Association (EDTA), and the Electric Vehicle Association of Asia Pacific (EVAAP). They are hosted by MDPI on mdpi.com as a courtesy and upon agreement with AVERE.
Open AccessArticle

Optimization of Li-Ion batteries through modelling techniques

1
Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
2
Erasmus University College Brussels, IWT Nijverheidskaai 170, 1070 Anderlecht, Belgium
*
Author to whom correspondence should be addressed.
World Electr. Veh. J. 2015, 7(1), 52-58; https://doi.org/10.3390/wevj7010052
Published: 27 March 2015
PDF [338 KB, uploaded 17 May 2018]

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.
Keywords: Li-Ion battery; Porous Electrode Model; Battery design; Physics based model Li-Ion battery; Porous Electrode Model; Battery design; Physics based model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Smekens, J.; Omar, N.; Hubin, A.; Van Mierlo, J.; Van den Bossche, P. Optimization of Li-Ion batteries through modelling techniques. World Electr. Veh. J. 2015, 7, 52-58.

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World Electr. Veh. J. EISSN 2032-6653 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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