Title :
Battery modelling methods for electric vehicles - A review
Author :
Cheng Zhang ; Kang Li ; McLoone, S. ; Zhile Yang
Author_Institution :
Sch. of Electron., Electr. Eng. & Comput. Sci, Queen´s Univ., Belfast, UK
Abstract :
Electric vehicles and hybrid electric vehicles are rapidly gaining popularity as an important means of decarbonizing 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 in 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 are most widely used in the battery management system, a detailed analysis of the modelling procedure is presented.
Keywords :
battery management systems; hybrid electric vehicles; maintenance engineering; secondary cells; Li-ion battery characteristic; battery behaviour prediction; battery management system; battery modelling method; controlling algorithm; environment pollution tackling; hybrid electric vehicle; maintenance strategy; sustainable energy supply; unsafe battery operations avoiding; Analytical models; Batteries; Computational modeling; Integrated circuit modeling; Mathematical model; System-on-chip; Temperature measurement;
Conference_Titel :
Control Conference (ECC), 2014 European
Conference_Location :
Strasbourg
Print_ISBN :
978-3-9524269-1-3
DOI :
10.1109/ECC.2014.6862541