Abstract
In this study, transient responses of a polymer electrolyte fuel cell system were performed to understand the effect of sensor fault signal on the temperature sensor of the stack and the coolant inlet. We designed a system-level fuel cell model including a thermal management system, and a controller to analyze the dynamic behavior of fuel cell system applied with variable sensor fault scenarios such as stuck, offset, and scaling. Under drastic load variations, transient behavior is affected by fault signals of the sensor. Especially, the net power of the faulty system is 45.9 kW. On the other hand, the net power of the fault free system is 46.1 kW. Therefore, the net power of a faulty system is about 0.2 kW lower than that of a fault-free system. This analysis can help in understanding the transient behavior of fuel cell systems at the system level under fault situations and provide a proper failure avoidance control strategy for the fuel cell system.
Highlights
Proton exchange membrane fuel cells (PEMFC) have been considered the most promising type of fuel cells, which can be used as automotive power sources to replace conventional engines using gasoline and diesel [1,2,3]
Few studies have analyzed the transient responses of fuel cell vehicles under temperature sensor failure [26,27,28]
The aim of this study is to understand the transient response phenomena in fuel cell systems, which are the results of interactions among system components, when a failure occurs in the temperature sensors of the stack and coolant inlet
Summary
Proton exchange membrane fuel cells (PEMFC) have been considered the most promising type of fuel cells, which can be used as automotive power sources to replace conventional engines using gasoline and diesel [1,2,3]. Few studies have analyzed the transient responses of fuel cell vehicles under temperature sensor failure [26,27,28]. For conditions of failure in the temperature sensors of the stack and coolant inlet, an understanding of the transient behavior in fuel cell systems, with respect to subsystems, remains needed. The aim of this study is to understand the transient response phenomena in fuel cell systems, which are the results of interactions among system components, when a failure occurs in the temperature sensors of the stack and coolant inlet. The temperatures for the reservoir and the fuel cell body are separated in our model Sensor fault signals such as stuck, scaling, and offset were applied to the sensors of the stack and reservoir to analyze the transient behavior.
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