期刊
JOURNAL OF POWER SOURCES
卷 196, 期 1, 页码 449-457出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jpowsour.2010.06.037
关键词
Hybrid vehicles; Battery; Lithium ion; Modeling; System identification; Automotive
This paper describes a model identification procedure for identifying an electro-thermal model of lithium ion batteries used in automotive applications. The dynamic model structure adopted is based on an equivalent circuit model whose parameters are scheduled on the state-of-charge, temperature, and current direction. Linear spline functions are used as the functional form for the parametric dependence. The model identified in this way is valid inside a large range of temperatures and state-of-charge, so that the resulting model can be used for automotive applications such as on-board estimation of the state-of-charge and state-of-health. The model coefficients are identified using a multiple step genetic algorithm based optimization procedure designed for large scale optimization problems. The validity of the procedure is demonstrated experimentally for an A123 lithium ion iron-phosphate battery. (C) 2010 Elsevier B.V. All rights reserved.
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