摘要
针对燃料电池传统寻优方法存在的不足,选取内阻作为输出性能的寻优指标,建立内阻与操作条件机理模型,操作条件之间耦合模型,以总内阻最小为仿真寻优原则,确定不同电流密度下的最佳温湿度点,并建立最佳温湿度与电流密度经验模型,使用遗传算法对模型参数进行优化,为下一步控制策略优化提供基础与参考。
Based on the shortcomings of traditional optimization methods,the internal resistance is chosen as the optimal index of output performance. The internal resistance and operating condition mechanism model and the decoupling model are established. The total internal resistance is the minimum simulation principle. The optimal temperature and humidity points corresponding to each current density are obtained. The optimal model of temperature,humidity and current density is established. The genetic algorithm is used to optimize the model parameters,which provides the basis and reference for the next control strategy optimization.
作者
高志
蔡慧
卫东
王振
周杭霞
Gao Zhi;Cai Hui;Wei Dong;Wang Zhen;Zhou Hangxia(School of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2019年第5期1472-1480,共9页
Acta Energiae Solaris Sinica
基金
国家重点研发计划(2017YFF0210702)
浙江省基础公益研究计划(LGG18E070004
LGF18F020017)
关键词
燃料电池
温湿度
内阻
仿真
控制
fuel cell
temperature and humidity
simulation
control
