本研究目標在透過實際燃料電池實驗與理論分析模擬其性能，進而開發最適合的燃料電池系統控制。為了解燃料電池的操作條件，透過改變排水週期與風扇控制，探討對燃料電池之性能影響。在模擬部分，本研究利用Matlab繪製燃料電池模型，並與實際的電池性能匹配，結果顯示當電流密度小於275 mA/cm2時，誤差可控制在5%以內，且利用Simulink繪製模擬電堆負載，研究燃料電池的溫度變化與變動負載系統響應狀況，減少實際使用與開發燃料電池成本。
本實驗利用樹莓派4B (Raspberry Pi 4B)當作主控板，結合周邊次系統，開發出燃料電池控制系統，包含燃料供給次系統、電池堆監控次系統與散熱次系統，為了使控制系統能夠穩定順利運作，更開發模糊控制應用至燃料電池控制中，研究結果發現模糊控制具有較佳的溫度掌握，溫度的浮動範圍可控制在12.9%以內，優於傳統控制的溫度浮動範圍高達34.4%，模糊控制可減少不必要的振盪情形發生，更能降低燃料電池的使用門檻，溫度能自動維持在理想範圍內，故更有利於應用在燃料電池控制上。

This study aims to develop the most suitable fuel cell system control by simulating fuel cell performance through practical experiments and theoretical analysis. Because the air supply and the cooling are combined in the same system in the air-breathing proton exchange membrane fuel cell (PEMFC), it has the advantage of reducing weight and volume. To understand the operating conditions of the fuel cell, the effect on the performance of the fuel cell is investigated by changing the drain cycle and fan control. In the simulation part, this study uses Matlab to build up the fuel cell model and compares with the actual cell performance. According to the result, when current density is less than 275 mA/cm2, the error can be control within 5%. This study also uses Simulink to build up the simulated circuit load, study the temperature change and response of the fuel cell system, and reduce the cost of application and development of the fuel cell system.
In this study, the Raspberry Pi 4B is used as the main control board, combined with the balance of plant, to develop a fuel cell control system. The system includes fuel supply subsystem, stack monitoring subsystem and cooling subsystem. To make the system operate stably and smoothly, the fuzzy control is introduced and applied to the fuel cell system. The experimental results show that adding the fuzzy control can manipulate the stack temperature more smoothly and continuously, its temperature variation is within 12.9%, instead of 34.4% of traditional control, which is beneficial to the application of fuel cell control.

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