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Understanding of Lithium-ion battery degradation using multisine-based nonlinear characterization method
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Fan, Chuanxin, Liu, Kailong, Zhu, Tao and Peng, Qiao (2024) Understanding of Lithium-ion battery degradation using multisine-based nonlinear characterization method. Energy, 290 . 130230. doi:10.1016/j.energy.2024.130230 ISSN 0360-5442.
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Official URL: http://doi.org/10.1016/j.energy.2024.130230
Abstract
The nonlinearity of lithium-ion battery voltage response has been recently gained high attention in battery characterization and health diagnosis. The multisine-based nonlinear characterization method has the potential for development as an expedient on-board technique for analyzing nonlinear responses. Despite this, it remains challenging to analyze the effect of aging degradation on LIB nonlinearity. In this study, the odd random-phase multisine method is performed on fresh and aged three-electrode experimental cells. This allowed for the separation of impedance-related linear approximation and odd or even order nonlinearity toward the full-cell voltage into their respective electrodes. The results demonstrate that, as the LIB degrades, the increase of impedance-related linear approximation estimated by the multisine-based method agrees well with the results of conventional EIS. The variation of nonlinearities is demonstrated in relation to the effect of degradation modes. The multisine-based method presents the advantage of simultaneously capturing impedance-related and nonlinearity information. This makes it become a fast diagnostic method that can be implemented in a BMS to quantify the causes of battery degradation, thereby supporting battery utilization optimization and future battery designs.
Item Type: | Journal Article | ||||||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Journal or Publication Title: | Energy | ||||||||
Publisher: | Elsevier Ltd | ||||||||
ISSN: | 0360-5442 | ||||||||
Official Date: | 1 March 2024 | ||||||||
Dates: |
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Volume: | 290 | ||||||||
Article Number: | 130230 | ||||||||
DOI: | 10.1016/j.energy.2024.130230 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access |
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