摘要
通过分析不同湿度下输入气体对质子交换膜燃料电池膜水含量的影响,确定根据实时电流情况获取最佳阴极目标湿度,并基于热动态原理、质量连续性、热传递理论和膜扩散经验,建立一种膜加湿器的热动态模型,模拟在不同气体输入流量、温度和湿度情况下,被加湿气体的输出湿度开环动态特性,利用单神经元自适应智能PID控制器调节湿气体的流量达到控制被加湿气体的输出湿度。结果显示:基于质子交换膜燃料电池膜加湿器机理分析的闭环智能控制策略,具有较强的抗干扰性能、跟踪性能和自适应能力。
The method of getting target humidity based on real-time current was determined through analyzing the impact of input gas on membrane water content in proton exchange membrane fuel cell under different humidity. A thermal dynamic model for membrane humidifier was established based on thermal dynamics principles, mass continuity, heat transfer theory and membrane diffusion experience, and the open-loop output dynamic characteristics of humidified gas were simulated under the conditions of various gas input flow, temperature and humidity. The humidity of output gas was controlled through regulating wet gas flow based on single neuron adaptive intelligent PID controller. The results demonstrate the excellent anti-disturbance, strong tracking and adaptive ability of the closed-loop intelligent control method based on mechanism analysis.
出处
《电源技术》
CAS
CSCD
北大核心
2018年第2期233-236,270,共5页
Chinese Journal of Power Sources
基金
上海高校青年教师培养资助计划项目(ZZSDJ12004)
上海电机学院科研启动项目(13C403)
上海市大学生创新活动资助项目(2014SCX02)
上海高校青年骨干教师国内访问学者计划(A1-0217-17-003-01)
上海市经信委项目(15AZ04)
关键词
质子交换膜燃料电池
膜加湿器
机理分析
单神经元
自适应PID控制
proton exchange membrane fuel cell
membrane humidifier
mechanism analysis
single neuron
adaptive PID control
