Optimization of Li-Ion batteries through modelling techniques
by
Jelle Smekens
1,*, 
Noshin Omar
1,
Annick Hubin
1,
Joeri Van Mierlo
1 and
Peter Van den Bossche
1,2 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
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.
Share and Cite
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. https://doi.org/10.3390/wevj7010052
AMA Style
Smekens J, Omar N, Hubin A, Van Mierlo J, Van den Bossche P. Optimization of Li-Ion batteries through modelling techniques. World Electric Vehicle Journal. 2015; 7(1):52-58. https://doi.org/10.3390/wevj7010052
Chicago/Turabian StyleSmekens, Jelle, Noshin Omar, Annick Hubin, Joeri Van Mierlo, and Peter Van den Bossche. 2015. "Optimization of Li-Ion batteries through modelling techniques" World Electric Vehicle Journal 7, no. 1: 52-58. https://doi.org/10.3390/wevj7010052
