Influence of Electrode Density on the Performance of Li-Ion Batteries: Experimental and Simulation Results

Jelle Smekens, Rahul Gopalakrishnan, Nils Van den Steen, Noshin Omar, Omar Hegazy, Annick Hubin and Joeri Van Mierlo
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Jelle Smekens: Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium
Rahul Gopalakrishnan: Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium
Nils Van den Steen: Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium
Noshin Omar: Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium
Omar Hegazy: Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium
Annick Hubin: Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium
Joeri Van Mierlo: Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Elsene, Belgium

Energies, 2016, vol. 9, issue 2, 1-12

Abstract: Lithium-ion battery (LIB) technology further enabled the information revolution by powering smartphones and tablets, allowing these devices an unprecedented performance against reasonable cost. Currently, this battery technology is on the verge of carrying the revolution in road transport and energy storage of renewable energy. However, to fully succeed in the latter, a number of hurdles still need to be taken. Battery performance and lifetime constitute a bottleneck for electric vehicles as well as stationary electric energy storage systems to penetrate the market. Electrochemical battery models are one of the engineering tools which could be used to enhance their performance. These models can help us optimize the cell design and the battery management system. In this study, we evaluate the ability of the Porous Electrode Theory (PET) to predict the effect of changing positive electrode density in the overall performance of Li-ion battery cells. It can be concluded that Porous Electrode Theory (PET) is capable of predicting the difference in cell performance due to a changing positive electrode density.

Keywords: Li-ion; battery manufacturing; battery model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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