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

DOI

10.2991/ahe.k.220301.018How to use a DOI?

Keywords

Lithium-ion batteries; Second life of batteries; Battery modelling; Artificial neural networks; State of charge; State of health; Electrical vehicle; Energy storage systems

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.

Copyright

© 2022 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Mussab Najeeb
AU  - Ulf Schwalbe
PY  - 2022
DA  - 2022/03/03
TI  - Development of a Test Method to Evaluate Lithium-Ion Batteries for Second Life in Renewable Energy Applications
BT  - Proceedings of the International Renewable Energy Storage Conference 2021 (IRES 2021)
PB  - Atlantis Press
SP  - 167
EP  - 178
SN  - 2589-4943
UR  - https://doi.org/10.2991/ahe.k.220301.018
DO  - 10.2991/ahe.k.220301.018
ID  - Najeeb2022
ER  -