Ageing-aware charging of lithium-ion batteries using an electrochemistry-based model with capacity-loss side reactions

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Abstract

In this paper, we utilize a Doyle-Fuller-Newman (DFN) model including capacity-loss side reactions to present a model-based design method for multi-stage charging protocols. This design method allows making a trade-off between charging time and battery ageing in a more systematic way. The results are leveraged by a highly efficient implementation of the DFN model, that has a short computation time. We show that by obtaining the Pareto front that describes the optimal trade-off between charging time and battery ageing for a single cycle, the results can be extended to the lifetime of the battery. Finally we show that the negative electrode over-potential is not always a good indicator for ageing, and that ageing will occur even when the battery operates in over-potential regions that are considered to not lead to ageing.

Original languageEnglish
Title of host publication2020 American Control Conference, ACC 2020
PublisherInstitute of Electrical and Electronics Engineers
Pages2213-2218
Number of pages6
ISBN (Electronic)9781538682661
DOIs
Publication statusPublished - Jul 2020
Event2020 American Control Conference, ACC 2020 - Denver, United States
Duration: 1 Jul 20203 Jul 2020
http://acc2020.a2c2.org/

Publication series

NameProceedings of the American Control Conference
Volume2020-July
ISSN (Print)0743-1619

Conference

Conference2020 American Control Conference, ACC 2020
Abbreviated titleACC 2020
Country/TerritoryUnited States
CityDenver
Period1/07/203/07/20
Internet address

Bibliographical note

Funding Information:
This work has received financial support from the Horizon 2020 programme of the European Union under the grants ‘Electric Vehicle Enhanced Range, Lifetime And Safety Through INGenious battery management’ (EVERLASTING-713771) and ‘Advancing fail-aware, fail-safe, and fail-operational electronic components, systems, and architectures for fully automated driving to make future mobility safer, affordable, and end-user acceptable’ (AutoDrive-737469).

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