Nonlinear multivariable modeling of locomotive proton exchange membrane fuel cell system

作者：Li Qi^*; Chen Weirong; Liu Zhixiang; Guo Ai; Huang Jin

来源：International Journal of Hydrogen Energy, 2014, 39(25): 13777-13786.

DOI：10.1016/j.ijhydene.2013.12.211

• Locomotive proton exchange membrane fuel cell system
• Support vector regression
• Effective informed adaptive particle swarm optimization
• Hyper-parameters
• Dynamic behavior

A nonlinear multivariable model of a locomotive proton exchange membrane fuel cell (PEMFC) system based on a support vector regression (SVR) is proposed to study the effect of different operating conditions on dynamic behavior of a locomotive PEMFC power unit. Furthermore, an effective informed adaptive particle swarm optimization (EIA-PSO) algorithm which is an adaptive swarm intelligence optimization with preferable search ability and search rate is utilized to tune the hyper-parameters of the SVR model for the improvement of model performance. The comparisons with the experimental data demonstrate that the SVR model based on EIA-PSO can efficiently approximate the dynamic behaviors of locomotive PEMFC power unit and is capable of predicting dynamic performance in terms of the output voltage and power with a high accuracy.

• 出版日期2014-8-22
• 单位西南交通大学