Title: Building equivalent circuit models of lithium-ion battery by means of genetic programming
Authors: Li Zhao; Wan-Ke Cao; Yu-Tao He
National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 10081, China; Shijiazhuang Vocational Technology Institute, Shijiazhuang 050081, China
National Engineering Laboratory for Electric Vehicles, Beijing Institute of Technology, Beijing 10081, China
Shijiazhuang University, Shijiazhuang 050000, China
Abstract: In the process of battery system design and operation, accurate battery modelling is a key factor. Generally speaking, the electric characteristics of a given battery cell are necessary for a designer to build an equivalent circuit model. The equivalent circuit design entails the creation of both the sizing of components used in the circuit and the topology. So, it is very hard to build an accurate battery model for electric vehicles. This paper presents a single method to design an accurate equivalent circuit by computer automatically. The obtained model enables the assessment of the cells' state of charge (SOC) precisely using model-based state estimation approaches.
Keywords: genetic programming; equivalent circuit models; SOC; state of charge; lithium-ion batteries; battery system design; battery modelling; electric vehicles; model-based state estimation.
Int. J. of Wireless and Mobile Computing, 2014 Vol.7, No.3, pp.275 - 281
Submission date: 04 Jun 2013
Date of acceptance: 25 Jul 2013
Available online: 29 May 2014