Battery modelling methods for electric vehicles - a review


Autoria(s): Zhang, Cheng; Li, Kang; McLoone, Sean; Yang, Zhile
Data(s)

27/06/2014

Resumo

Electric vehicles (EVs) and hybrid electric vehicles (HEVs) are rapidly gaining popularity as a means of de-carbonization in the transport sector in tackling sustainable energy supply and environment pollution problems. To build a proper battery model is essential in predicting battery behaviour under various operating conditions for avoiding unsafe battery operations and developing proper controlling algorithms and maintenance strategies. This paper presents a comprehensive review of battery modelling methods. In particular, the mechanism and characteristics of Li-ion batteries are presented, and different modelling methods are discussed. Considering that equivalent electric circuit models (EECMs) are the most widely used, a detailed analysis of the modelling procedure is presented.

Identificador

http://pure.qub.ac.uk/portal/en/publications/battery-modelling-methods-for-electric-vehicles--a-review(3ab975d4-cf82-46d7-96da-ea21c2e88d42).html

Idioma(s)

eng

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Zhang , C , Li , K , McLoone , S & Yang , Z 2014 , ' Battery modelling methods for electric vehicles - a review ' Paper presented at 13th European Control Conference (ECC’2014) , Strasbourg , France , 24/06/2014 - 27/06/2014 , .

Tipo

conferenceObject