Modelling the State of Charge of Lithium-ion batteries

Das, Ridoy, Wang, Yue, Putrus, Ghanim and Busawon, Krishna (2018) Modelling the State of Charge of Lithium-ion batteries. In: 2018 53rd International Universities Power Engineering Conference (UPEC). IEEE. ISBN 978-1-5386-2910-9

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Official URL: http://dx.doi.org/10.1109/UPEC.2018.8542115

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.

Item Type: Book Section
Uncontrolled Keywords: SOC, modelling, lithium-ion, Hill function
Subjects: H600 Electronic and Electrical Engineering
H800 Chemical, Process and Energy Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Becky Skoyles
Date Deposited: 03 Jun 2019 15:16
Last Modified: 10 Oct 2019 18:33
URI: http://nrl.northumbria.ac.uk/id/eprint/39455

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