In references [13–15], the optimal

In references [13–15], the optimal working temperature controlling of PEMFC is achieved by means of adopting fuzzy PID fusioncontrolling, fuzzy incremental PID controlling, and incrementalPID controlling, etc., and thus PEMFC output performance get thebest. Although the means above based on PID temperature controlling can obtain the optimal temperature controlling of PEMFC,their response performance to the fuel cell are different with loadchange, and no related bibliography show such kind of study.In this paper, the experiments show that different temperature controlling methods based on PID can achieve the optimal workingtemperature control of PEMFC, and make the output performanceget to the best, but there are some shortcomings in the adjustingprocess, such as, too long adjusting time, over-shoot, decreasedresponse speed and output performance of the fuel cell stack. Inreference [14,15], when the output current changes, the PID temperature control shows a certain over-shoot. In this study, in orderto overcome the shortcomings of the traditional PID control methods, a Segmented Predict Negative Feedback Control(SPreNFC) isproposed, and experimental verification is done by means of thecontrast between PID temperature control and segmented predictnegative feedback control with the help of experimental platform.