A review on electric vehicle battery modelling: From Lithium-ion toward Lithium-Sulphur

详细信息    查看全文

• 作者：Abbas Fotouhi^a ; ^{a.fotouhi@cranfield.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; ^{abfotouhi@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Daniel J. Auger^a ; Karsten Propp^a ; Stefano Longo^a ; Mark Wild^b
• 关键词：Battery modelling ; Electric vehicle ; Lithium sulphur ; Equivalent circuit ; Electrochemical
• 刊名：Renewable and Sustainable Energy Reviews
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：56
• 期：Complete
• 页码：1008-1021
• 全文大小：1992 K

文摘

Accurate 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.