Modelling the State of Charge of Lithium-ion batteries

Ridoy Das, Yue Wang, Ghanim Putrus, Krishna Busawon

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

1 Citation (Scopus)

Abstract

Lithium-ion batteries are widely adopted for multiple applications ranging from mobile devices to electric vehicles. The application of Lithium-ion batteries requires an accurate modelling approach that allows for the estimation of their behaviour, namely for their state of charge (SOC). In this respect, there are several models of SOC that are available in literature. However, none of these available models considers the battery degradation and the time evolution of the SOC for each cycle. In this work, we propose a new model of the SOC of Lithium-ion batteries, based on experimental test results. The proposed model incorporates both the time evolution of the SOC as well as the life cycle. It is shown that the SOC is related to the battery voltage following a Hill function characteristic. The model is time-varying and its parameters vary according to the number of cycles. Finally the performance of the proposed model is compared with a polynomial fit based method and the benefits of this modelling approach are highlighted.

Original languageEnglish
Title of host publication2018 53rd International Universities Power Engineering Conference, UPEC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538629109
DOIs
Publication statusPublished - 13 Dec 2018
Event53rd International Universities Power Engineering Conference, UPEC 2018 - Glasgow, United Kingdom
Duration: 4 Sep 20187 Sep 2018

Conference

Conference53rd International Universities Power Engineering Conference, UPEC 2018
CountryUnited Kingdom
CityGlasgow
Period4/09/187/09/18

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