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/ |
Conference
| Conference | 2020 American Control Conference, ACC 2020 |
|---|---|
| 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).
Funding
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).
