Development of a Test Method to Evaluate Lithium-Ion Batteries for Second Life in Renewable Energy Applications

Abstract

Lithium-ion batteries can still be used in many applications after removal from their first use in electric vehicles, e.g. as a storage media in photovoltaic systems and for grid support. Therefore, there is a great need to develop reliable methodologies and tools to characterize the expected performance of lithium-ion batteries after their first life in electric vehicles to enable the economical and sustainable re-use of the large amount of lithium-ion batteries, which will be available in the near future. In this paper, we will develop a robust, fast, and non-destructive measurement procedure using artificial intelligence to estimate their state of health. Keywords— Lithium-ion batteries, Second life of batteries, Battery modelling, Artificial neural networks, State of charge, State of health, Electrical vehicle, Energy storage systems