燃料电池系统建模与供气系统控制方法  

Modeling of fuel cell system and control method of air supply system

作　　者：韩爱国[1] 宋福豪 田韶鹏[1] 张纯瑞 HAN Aiguo;SONG Fuhao;TIAN Shaopeng;ZHANG Chunrui(School of Automotive Engineering,Wuhan University of Technology,Wuhan,Hubei 430070,China)

机构地区：[1]武汉理工大学汽车工程学院,湖北武汉430070

出　　处：《江苏大学学报（自然科学版）》2024年第2期147-153,共7页Journal of Jiangsu University：Natural Science Edition

基　　金：先进能源科学与技术广东省实验室佛山分中心(佛山仙湖实验室)开放基金资助项目(XHD2020-003)。

摘　　要：为了研究燃料电池系统的特性以及空气系统对燃料电池特性的影响,利用Simulink仿真软件对燃料电池系统进行建模,模型包括电压模型、空压机模型、阴极模型、阳极模型.分别通过前馈比例-积分-微分(proportional-integral-differential, PID)和模糊PID对燃料电池空气系统进行控制.结果表明:在负载电流变化时,前馈PID和模糊PID都能够使过氧比达到设定的常数值2.0附近,但模糊PID比前馈PID响应更快,且模糊PID控制下的燃料电池输出功率波动较小,燃料电池系统更加稳定.To investigate the characteristics of fuel cell systems and the influence of air systems on fuel cell characteristics,Simulink simulation software was used to model the fuel cell system with voltage model,air compressor model,cathode model and anode model.The fuel cell air system was controlled respectively through proportional-integral-differential(PID)and fuzzy PID.The results show that when the load current changes,both the feedforward PID and fuzzy PID can make the oxygen excess ratio reach the set constant value of 2.0.However,the fuzzy PID responds faster than the feedforward PID,and the output power of the fuel cell under fuzzy PID control fluctuates less,which makes the fuel cell system more stable.

关 键 词：燃料电池 SIMULINK建模 过氧比 前馈PID 模糊PID 

分 类 号：U473.4[机械工程—车辆工程] TM911.4[交通运输工程—载运工具运用工程]