Next Article in Journal
Simulation and Comparison of HEV Battery Control for Best Fuel Economy and Longer Battery Life
Previous Article in Journal
Analysis and assessment of the electrification of urban road transport based on real-life mobility data
Article Menu

Article Versions

Export Article

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 as a courtesy and upon agreement with AVERE.
Open AccessArticle

Optimization of Li-Ion batteries through modelling techniques

Vrije Universiteit Brussel, Pleinlaan 2, 1050 Elsene, Belgium
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;
Published: 27 March 2015
PDF [338 KB, uploaded 17 May 2018]


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).

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics



[Return to top]
World Electr. Veh. J. EISSN 2032-6653 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top