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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

    3 Citations (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
    PublisherIEEE
    ISBN (Electronic)9781538629109
    DOIs
    Publication statusPublished - 13 Dec 2018
    Event53rd International Universities Power Engineering Conference, UPEC 2018 - Glasgow, United Kingdom
    Duration: 4 Sept 20187 Sept 2018

    Conference

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

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Hill function
    • lithium-ion
    • modelling
    • SOC

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