Obtaining performance-based aging models through multidimensional fitting of Li-ion cell testing data
In modern battery electric vehicles, it is fundamental to ensure the chemical and electrical characteristics of the battery pack for the whole vehicle lifetime. A new regulatory framework prescribing minimum performance requirements for in-vehicle battery durability has been recently adopted by the United Nations Economic Commission for Europe. Therefore, the development of advanced procedures to estimate the electric vehicle battery state of health is of key importance. This work presents a methodology to derive performance-based models of the capacity cycle ageing from sets of available cell testing data at different Depth of Discharge, C-rates and temperatures by a multidimensional fitting procedure. The obtained models will be implemented into the JRC TEMA platform, to simulate the battery aging and explore the potential of big data in supporting transport policy assessments.
PATRONE Gian-Luca;
PAFFUMI Elena;
2023-12-21
Elsevier BV
JRC127421
2352-1457 (online),
www.sciencedirect.com/science/article/pii/S235214652301102X,
https://publications.jrc.ec.europa.eu/repository/handle/JRC127421,
10.1016/j.trpro.2023.11.804 (online),
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