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

Zuan Khalik; Henk Jan Bergveld; M.C.F. (Tijs) Donkers

doi:10.23919/ACC45564.2020.9147404

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

Zuan Khalik, Henk Jan Bergveld, M.C.F. (Tijs) Donkers

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

11 Citaten (Scopus)

179 Downloads (Pure)

Samenvatting

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.

Originele taal-2	Engels
Titel	2020 American Control Conference, ACC 2020
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	2213-2218
Aantal pagina's	6
ISBN van elektronische versie	9781538682661
DOI's	https://doi.org/10.23919/ACC45564.2020.9147404
Status	Gepubliceerd - jul. 2020
Evenement	2020 American Control Conference, ACC 2020 - Denver, Verenigde Staten van Amerika Duur: 1 jul. 2020 → 3 jul. 2020 http://acc2020.a2c2.org/

Congres

Congres	2020 American Control Conference, ACC 2020
Verkorte titel	ACC 2020
Land/Regio	Verenigde Staten van Amerika
Stad	Denver
Periode	1/07/20 → 3/07/20
Internet adres	http://acc2020.a2c2.org/

Bibliografische nota

Publisher Copyright:
© 2020 AACC.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Financiering

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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10.23919/ACC45564.2020.9147404

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@inproceedings{3564e70ffaa242f0ad866304b4129812,

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

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.",

author = "Zuan Khalik and Bergveld, {Henk Jan} and Donkers, {M.C.F. (Tijs)}",

note = "Funding Information: This work has received financial support from the Horizon 2020 programme of the European Union under the grants {\textquoteleft}Electric Vehicle Enhanced Range, Lifetime And Safety Through INGenious battery management{\textquoteright} (EVERLASTING-713771) and {\textquoteleft}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{\textquoteright} (AutoDrive-737469). ; 2020 American Control Conference, ACC 2020, ACC 2020 ; Conference date: 01-07-2020 Through 03-07-2020",

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Khalik, Z, Bergveld, HJ & Donkers, MCF 2020, Ageing-aware charging of lithium-ion batteries using an electrochemistry-based model with capacity-loss side reactions. in 2020 American Control Conference, ACC 2020., 9147404, Institute of Electrical and Electronics Engineers, blz. 2213-2218, 2020 American Control Conference, ACC 2020, Denver, Colorado, Verenigde Staten van Amerika, 1/07/20. https://doi.org/10.23919/ACC45564.2020.9147404

Ageing-aware charging of lithium-ion batteries using an electrochemistry-based model with capacity-loss side reactions. / Khalik, Zuan; Bergveld, Henk Jan ; Donkers, M.C.F. (Tijs).
2020 American Control Conference, ACC 2020. Institute of Electrical and Electronics Engineers, 2020. blz. 2213-2218 9147404.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Donkers, M.C.F. (Tijs)

N1 - 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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AB - 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.

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

Samenvatting

Congres

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Financiering

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