Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1293580 | Journal of Power Sources | 2011 | 9 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Chemistry
Electrochemistry
Authors
Y. Hu, S. Yurkovich, Y. Guezennec, B.J. Yurkovich,