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• W3216931475 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." @default.
• W3216931475 created "2021-12-06" @default.
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• W3216931475 date "2022-03-01" @default.
• W3216931475 modified "2023-10-18" @default.
• W3216931475 title "Open data model parameterization of a second-life Li-ion battery" @default.
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• W3216931475 doi "https://doi.org/10.1016/j.est.2021.103546" @default.
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