A review on electric vehicle battery modelling: from lithium-ion toward lithium–sulphur

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dc.contributor.authorFotouhi, Abbas
dc.contributor.authorAuger, Daniel J.
dc.contributor.authorPropp, Karsten
dc.contributor.authorLongo, Stefano
dc.contributor.authorWild, Mark
dc.date.accessioned2016-07-20T15:10:50Z
dc.date.available2016-07-20T15:10:50Z
dc.date.issued2015-12-29
dc.description.abstractAccurate prediction of range of an electric vehicle (EV) is a significant issue and a key market qualifier. EV range forecasting can be made practicable through the application of advanced modelling and estimation techniques. Battery modelling and state-of-charge estimation methods play a vital role in this area. In addition, battery modelling is essential for safe charging/discharging and optimal usage of batteries. Much existing work has been carried out on incumbent Lithium-ion (Li-ion) technologies, but these are reaching their theoretical limits and modern research is also exploring promising next-generation technologies such as Lithium–Sulphur (Li–S). This study reviews and discusses various battery modelling approaches including mathematical models, electrochemical models and electrical equivalent circuit models. After a general survey, the study explores the specific application of battery models in EV battery management systems, where models may have low fidelity to be fast enough to run in real-time applications. Two main categories are considered: reduced-order electrochemical models and equivalent circuit models. The particular challenges associated with Li–S batteries are explored, and it is concluded that the state-of-the-art in battery modelling is not sufficient for this chemistry, and new modelling approaches are needed.en_UK
dc.identifier.citationAbbas Fotouhi, Daniel J. Auger, Karsten Propp, Stefano Longo, Mark Wild, A review on electric vehicle battery modelling: from lithium-ion toward lithium–sulphur, Renewable and Sustainable Energy Reviews, Volume 56, April 2016, pp1008-1021en_UK
dc.identifier.issn1364-0321
dc.identifier.issnhttp://dx.doi.org/10.1016/j.rser.2015.12.009
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10149
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-Non-Commercial-No Derivatives 3.0 (CC BY-NC-ND 3.0). You are free to: Share — copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. Information: Non-Commercial — You may not use the material for commercial purposes. No Derivatives — If you remix, transform, or build upon the material, you may not distribute the modified material. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
dc.subjectBattery modellingen_UK
dc.subjectElectric vehicleen_UK
dc.subjectLithium sulphuren_UK
dc.subjectEquivalent circuiten_UK
dc.subjectElectrochemicalen_UK
dc.titleA review on electric vehicle battery modelling: from lithium-ion toward lithium–sulphuren_UK
dc.typeArticleen_UK

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