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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.