基于变论域模糊增量理论的质子交换膜燃料电池温度控制
Temperature control of PEMFC system based on variable universe fuzzy incremental theory

质子交换膜燃料电池(PEMFC)内部的电化学反应过程直接表现为温度的变化, 所以有效的温度控制是保证燃料电池可靠性和耐久性的关键. 本文将模糊增量控制用于PEMFC 热管理系统中, 将PEMFC的温度和电堆出入口温度差保持在设定值. 首先, 建立PEMFC热管理系统的动态模型, 包括PEMFC电堆模型和辅助散热设备模型. 然后, 基于建立的系统模型, 设计了一种变论域的模糊增量控制器. 该控制器通过伸缩因子来动态调节模糊控制器中的量化因子和比例因子, 实现对模糊论域的调节, 从而提高控制的灵敏性和精确度. 最后, 将该温度控制方法用于10 KW燃料电池系统中, 实验结果表明变论域模糊增量控制器相比于其他模糊控制方法, 不仅具有更快的动态响应速度, 还具有更强的鲁棒性和更高的控制精度.
The electrochemical reaction process in proton exchange membrane fuel cell (PEMFC) is directly manifested as temperature change of fuel cells. Hence the reliability and durability of PEMFC depend on effective temperature control. In this paper, the fuzzy incremental control theory is used in the PEMFC thermal management system to maintain the PEMFC temperature and the temperature difference between the stack within their setting ranges respectively. First, the dynamic model of the PEMFC thermal management system is established, including the sub-models of PEMFC stack and auxiliary cooling devices. Then, a novel fuzzy incremental controller with variable universe is designed based on the established model. The proposed controller adjusts the scaling factor and proportion factor in the fuzzy incremental controller through the contraction-expansion factor to realize the adjustment of the fuzzy universe regions, thereby improving the sensitivity and accuracy of the conventional fuzzy incremental controller. Finally, the proposed temperature control approach is applied to the 10 KW fuel cell system, the experimental results show that the fuzzy incremental controller based on variable universe has faster dynamic response, stronger robustness and higher control precision compared with the other fuzzy incremental control methods