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A study of operation strategy of cooling module with dynamic fuel cell system model for transportation application

机译:动态燃料电池系统模型在交通运输中的冷却模块运行策略研究

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摘要

A fuel cell system model with detailed cooling module model was developed to evaluate the control algorithms of cooling module which is used for the thermal management of a proton exchange membrane fuel cell (PEMFC) system. The system model is composed of a dynamic fuel cell stack model and a detailed dynamic cooling module model. To extend modeling flexibility, the fuel cell stack model utilizes analytic approach to capture the transient behavior of the stack temperature corresponding to the change of the coolant temperature and the flow rate during load follow-up. The cooling module model integrated model of fan, water pump, coolant passage, and electric motors so that the model is capable of investigation of operating strategy of pump and fan.rnThe fuel cell system model is applied to the investigation of the control logics of the cooling module. Since, it is necessary for the control of cooling module to define the reference conditions such as coolant temperature and fuel cell stack temperature, this study presents such thermal management criteria. Finally, two control algorithms were compared, a conventional control algorithm and a feedback control algorithm. As a consequence, the feedback control algorithm was found to be more suitable for the cooling module of the PEMFC stack, as they consume less parasitic power while producing more stack power compared to a conventionally controlled cooling module.
机译:开发了具有详细冷却模块模型的燃料电池系统模型,以评估冷却模块的控制算法,该算法用于质子交换膜燃料电池(PEMFC)系统的热管理。系统模型由动态燃料电池堆模型和详细的动态冷却模块模型组成。为了扩展建模的灵活性,燃料电池堆模型利用分析方法来捕获堆温度的瞬态行为,该行为对应于负载跟踪期间冷却剂温度和流量的变化。冷却模块模型集成了风扇,水泵,冷却液通道和电动机的模型,因此该模型能够研究泵和风扇的运行策略。rn燃料电池系统模型用于研究燃料电池系统的控制逻辑冷却模块。由于冷却模块的控制必须定义参考条件,例如冷却液温度和燃料电池堆温度,因此本研究提出了这种热管理标准。最后,比较了两种控制算法:常规控制算法和反馈控制算法。结果,发现反馈控制算法更适合PEMFC堆叠的冷却模块,因为与传统控制的冷却模块相比,它们消耗更少的寄生功率,同时产生更多的堆叠功率。

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