Research on PNGV model parameter identification of LiFePO4 Li-ion battery based on FMRLS

Author(s):  
Wengen Gao ◽  
Ming Jiang ◽  
Youming Hou
2012 ◽  
Vol 490-495 ◽  
pp. 3854-3858
Author(s):  
Jin Feng ◽  
Yong Ling He ◽  
Ran Bao

This paper described the theory of parameter identification of Li-ion battery base on least square method. The result of voltage response by HPPC test is discussed. The model parameter is identified through least square method. The battery model is built with Matlab/Simulink and the identified parameter is verified. The result indicated that the least square method is suitable for parameter identification of Li-ion battery equivalent circuit model.


Author(s):  
Roger C. von Doenhoff ◽  
Robert J. Streifel ◽  
Robert J. Marks

Abstract A model of the friction characteristics of carbon brakes is proposed to aid in the understanding of the causes of brake vibration. The model parameters are determined by a genetic algorithm in an attempt to identify differences in friction properties between brake applications during which vibration occurs and those during which there is no vibration. The model computes the brake torque as a function of wheelspeed, brake pressure, and the carbon surface temperature. The surface temperature is computed using a five node temperature model. The genetic algorithm chooses the model parameters to minimize the error between the model output and the torque measured during a dynamometer test. The basics of genetic algorithms and results of the model parameter identification process are presented.


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