Open data model parameterization of a second-life Li-ion battery

PVH Seger, E Coron, PX Thivel, D Riu, M Cugnet… - Journal of Energy …, 2022 - Elsevier
PVH Seger, E Coron, PX Thivel, D Riu, M Cugnet, S Genies
Journal of Energy Storage, 2022Elsevier
With the fast expansion of Electric and Hybrid Vehicles, the demand of Li-ion batteries is
increasing exponentially. This creates an opportunity for a second life of these cells once
they are no longer suitable for their original application. An accurate modelling of the second
life can be a powerful tool for these new applications. In this work, we propose a complete
second life model parameterization for a Li-Ion cell, with its parameters based on
experimental data of NMC/LMO cells cycled through their first and second lives. The …
Abstract
With the fast expansion of Electric and Hybrid Vehicles, the demand of Li-ion batteries is increasing exponentially. This creates an opportunity for a second life of these cells once they are no longer suitable for their original application. An accurate modelling of the second life can be a powerful tool for these new applications. In this work, we propose a complete second life model parameterization for a Li-Ion cell, with its parameters based on experimental data of NMC/LMO cells cycled through their first and second lives. The resulting model parameters span a State of Health from 80 % to 50 % of the cell original capacity, a State of Charge from 0 to 100 %, two current values and two first life temperature points. The model parameters are presented in an open data fashion in the form of look-up tables, ready to be implemented in simulation softwares.
Elsevier
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