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燃料电池电堆的温度分布对燃料电池的安全与寿命有重要影响。该文分析了车用质子交换膜燃料电池系统热管理子系统的结构,并建立热管理子系统的动态模型。在此基础上对燃料电池温度控制算法进行研究,针对热管理子系统大惯性和大迟延的特点,设计了基于预测的智能P ID算法。该算法采用简化的热管理子系统模型预测电堆温度变化趋势并进行提前控制,能显著减小超调。试验结果表明,该算法能实现±0.5℃的控制精度,控制效果良好。
Fuel cell stack temperature distribution of fuel cell safety and life have a significant impact. This paper analyzes the structure of thermal management subsystem for automotive proton exchange membrane fuel cell system and establishes a dynamic model of thermal management subsystem. Based on this, the fuel cell temperature control algorithm is researched. According to the characteristics of thermal management subsystem such as high inertia and large delay, a predictive intelligent P ID algorithm is designed. The algorithm uses a simplified thermal management subsystem model to predict the trend of stack temperature and to control in advance, which can significantly reduce overshoot. Experimental results show that the algorithm can achieve ± 0.5 ℃ control accuracy and good control effect.