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 language | English |
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| Title of host publication | 2020 American Control Conference, ACC 2020 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 2213-2218 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538682661 |
| DOIs | |
| Publication status | Published - Jul 2020 |
| Event | 2020 American Control Conference, ACC 2020 - Denver, United States Duration: 1 Jul 2020 → 3 Jul 2020 http://acc2020.a2c2.org/ |
Publication series
| Name | Proceedings of the American Control Conference |
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| Volume | 2020-July |
| ISSN (Print) | 0743-1619 |
Conference
| Conference | 2020 American Control Conference, ACC 2020 |
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| Abbreviated title | ACC 2020 |
| Country/Territory | United States |
| City | Denver |
| Period | 1/07/20 → 3/07/20 |
| 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).
