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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

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 languageEnglish
Title of host publication2019 IEEE 58th Conference on Decision and Control, CDC 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages7740-7745
Number of pages6
ISBN (Electronic)978-1-7281-1398-2
DOIs
Publication statusPublished - 2019
Event58th IEEE Conference on Decision and Control, (CDC2019) - Nice, France
Duration: 11 Dec 201913 Dec 2019
https://cdc2019.ieeecss.org/

Conference

Conference58th IEEE Conference on Decision and Control, (CDC2019)
Abbreviated titleCDC2019
CountryFrance
CityNice
Period11/12/1913/12/19
Internet address

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