On trade-offs between computational complexity and accuracy of electrochemistry-based battery models

Zuan Khalik; Henk jan Bergveld; Tijs Donkers

doi:10.1109/CDC40024.2019.9029977

On trade-offs between computational complexity and accuracy of electrochemistry-based battery models

Zuan Khalik, Henk jan Bergveld, Tijs Donkers

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

23 Downloads (Pure)

Abstract

In this paper, we propose several simplifications to the so-called Doyle-Fuller-Newman (DFN) model, which is a popular electrochemistry-based battery model. This simplified DFN (SDFN) model allows for a computationally very efficient implementation. The simplifications are a result of several assumptions, which will be justified for two different parameter sets. Finally, the SDFN model proposed is compared to the DFN model as well as an implementation of the single-particle model, for the two parameter sets. This will show that by making specific assumptions, simplifications can be made that have no significant impact on the model accuracy, while the computation time can be drastically decreased. This leads to a simulation time of over 3600 times faster than real-time.

Original language	English
Title of host publication	2019 IEEE 58th Conference on Decision and Control, CDC 2019
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	7740-7745
Number of pages	6
ISBN (Electronic)	978-1-7281-1398-2
DOIs	https://doi.org/10.1109/CDC40024.2019.9029977
Publication status	Published - 2019
Event	58th IEEE Conference on Decision and Control (CDC 2019) - Nice, France, Nice, France Duration: 11 Dec 2019 → 13 Dec 2019 https://cdc2019.ieeecss.org/

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2019-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	58th IEEE Conference on Decision and Control (CDC 2019)
Abbreviated title	CDC 2019
Country/Territory	France
City	Nice
Period	11/12/19 → 13/12/19
Internet address	https://cdc2019.ieeecss.org/

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10.1109/CDC40024.2019.9029977

On_Trade-offs_Between_Computational_Complexity_and_Accuracy_of_Electrochemistry-based_Battery_ModelsFinal author version , 2.47 MB

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Khalik, Z., Bergveld, H. J., & Donkers, T. (2019). On trade-offs between computational complexity and accuracy of electrochemistry-based battery models. In 2019 IEEE 58th Conference on Decision and Control, CDC 2019 (pp. 7740-7745). [9029977] (Proceedings of the IEEE Conference on Decision and Control; Vol. 2019-December). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC40024.2019.9029977

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title = "On trade-offs between computational complexity and accuracy of electrochemistry-based battery models",

abstract = "In this paper, we propose several simplifications to the so-called Doyle-Fuller-Newman (DFN) model, which is a popular electrochemistry-based battery model. This simplified DFN (SDFN) model allows for a computationally very efficient implementation. The simplifications are a result of several assumptions, which will be justified for two different parameter sets. Finally, the SDFN model proposed is compared to the DFN model as well as an implementation of the single-particle model, for the two parameter sets. This will show that by making specific assumptions, simplifications can be made that have no significant impact on the model accuracy, while the computation time can be drastically decreased. This leads to a simulation time of over 3600 times faster than real-time.",

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note = "58th IEEE Conference on Decision and Control (CDC 2019), CDC 2019 ; Conference date: 11-12-2019 Through 13-12-2019",

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Khalik, Z , Bergveld, HJ & Donkers, T 2019, On trade-offs between computational complexity and accuracy of electrochemistry-based battery models. in 2019 IEEE 58th Conference on Decision and Control, CDC 2019., 9029977, Proceedings of the IEEE Conference on Decision and Control, vol. 2019-December, Institute of Electrical and Electronics Engineers, Piscataway, pp. 7740-7745, 58th IEEE Conference on Decision and Control (CDC 2019), Nice, France, 11/12/19. https://doi.org/10.1109/CDC40024.2019.9029977

On trade-offs between computational complexity and accuracy of electrochemistry-based battery models. / Khalik, Zuan ; Bergveld, Henk jan ; Donkers, Tijs.

2019 IEEE 58th Conference on Decision and Control, CDC 2019. Piscataway : Institute of Electrical and Electronics Engineers, 2019. p. 7740-7745 9029977 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2019-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - In this paper, we propose several simplifications to the so-called Doyle-Fuller-Newman (DFN) model, which is a popular electrochemistry-based battery model. This simplified DFN (SDFN) model allows for a computationally very efficient implementation. The simplifications are a result of several assumptions, which will be justified for two different parameter sets. Finally, the SDFN model proposed is compared to the DFN model as well as an implementation of the single-particle model, for the two parameter sets. This will show that by making specific assumptions, simplifications can be made that have no significant impact on the model accuracy, while the computation time can be drastically decreased. This leads to a simulation time of over 3600 times faster than real-time.

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Khalik Z , Bergveld HJ , Donkers T. On trade-offs between computational complexity and accuracy of electrochemistry-based battery models. In 2019 IEEE 58th Conference on Decision and Control, CDC 2019. Piscataway: Institute of Electrical and Electronics Engineers. 2019. p. 7740-7745. 9029977. (Proceedings of the IEEE Conference on Decision and Control). doi: 10.1109/CDC40024.2019.9029977

On trade-offs between computational complexity and accuracy of electrochemistry-based battery models

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