摘要
采用MATLAB/Simulink中的S函数模块,基于质子交换膜燃料电池(proton exchange membrane fuel cell,PEMFC)电化学特性进行仿真建模。该方法与传统建模相较,优点在于用代码方式表达,方便工程师根据自己的需要加以剪裁,集成度高,通用性强,仿真程序编写简单。通过S函数建立的电化学模型,可研究环境变量以及参变量对电堆动态输出性能与非线性内阻(极化电压)产生的影响。精准的PEMFC仿真模型在电堆的输入参数出现阶跃变化时,能及时地体现出电堆电压、输出功率、极化曲线等的动态响应,有助于控制系统的研发。仿真分析表明,仿真结果与实验数据完全吻合,验证了S函数模型的有效性和准确性,此建模方式可推广至PEMFC辅助系统与整车控制系统。
Based on the simulation modeling of electrochemical characteristics of proton exchange membrane fuel cell(PEMFC)system,the S-function module in MATLAB/Simulink was adopted in this paper.Compared with traditional modeling,this method is closer to mathematical expression,which is convenient for engineers to tailor according to their own needs.With high integration,strong universality,and simple programming of simulation program,this method is more convenient for engineers.The electrochemical model established by S-Function can be used to study the effects of environmental variables and parameters on the dynamic output performance of the reactor and the nonlinear internal resistance(polarization voltage).The accurate PEMFC simulation model could timely reflect the dynamic response of the reactor voltage,output power,polarization curve,etc.When the input parameters of the reactor changed at step,which is conducive to the research and development of the control system.The simulation analysis shows that the simulation results were in perfect agreement with the experimental data to verify the validity and accuracy of S-Function model,and this modeling method can be extended to PEMFC auxiliary system and vehicle control system.
作者
郭健忠
王家欣
孙凯华
严运兵
GUO Jianzhong;WANG Jiaxin;SUN Kaihua;YAN Yunbing(School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, China;Xuzhou Huaqing Jingkun Energy Co. , Ltd. , Xuzhou, Jiangsu 221000, China)
出处
《中国科技论文》
CAS
北大核心
2020年第12期1364-1370,共7页
China Sciencepaper
基金
中央引导地方科技发展专项(2018ZYYD027)。
关键词
质子交换膜燃料电池
仿真建模
S函数
极化电压
动态响应
proton exchange membrane fuel cell(PEMFC)
simulation modeling
S-Function
polarization voltage
dynamic response
