本研究針對開發燃料電池、鋰電池與電動馬達之能源/動力源整合式散熱系統，利用Matlab /Simulink軟體進行理論建模和性能分析，並建立實體平台，透過動態模擬及實驗平台嘗試控制此三電(動)力源在其最佳操作區間。
散熱系統中包含雙電控比例閥、散熱器風扇及冷卻泵。電控比例閥用於調控燃料電池、鋰電池與電動馬達間冷卻液流量，散熱器風扇則由冷卻液溫度控制其轉速，冷卻泵透過輸入電壓控制冷卻液流速。動態模擬部分為散熱系統及三熱能之一階lumped-parameter動態方程式。計算其步階響應下三熱能所產生之廢熱量。經由三輸入(三電動源溫度)與四輸出(雙電控比例閥、冷卻泵、散熱器風扇等控制電壓)27條模糊控制規則，控制該高非線性之系統溫度至最佳操作點。
散熱實驗平台中分為加熱及散熱兩子系統，加熱系統依據模擬三熱能所產生之廢熱量輸入於可程式電源供應器中，以提供所需之熱能。散熱系統模擬規則庫燒錄於快速雛型控制器(Rapid-prototyping Controller)以輸入溫度訊號，藉由模糊控制改變雙電控比例閥、冷卻泵及散熱器風扇等電壓達到控制系統溫度目的。研究結果顯示，可將三熱能操作於最佳溫度，模擬系統與實體平台間因溫度回傳落差、散熱元件開啟延遲造成結果部分差異。未來將進一步以實車驗證，了解系統在實車環境之散熱表現、空間配置及續航力等狀況進行實驗分析。

This study developed an integrated thermal management system with the heat sources of fuel cells, lithium batteries, and an electric motor. Theoretical modeling and performance analysis were conducted through by the use of Matlab / Simulink platform and then the establishment of entity radiation platform. Through Matlab / Simulink platform and entity radiation platform the optimal temperatures of three power (energy) sources were controlled.
The system contains two sets of electric-controlled proportional valve, a radiator fan and a cooling pump. The electric-controlled proportional valve is for regulating the coolant flows among the three sources. The coolant temperature was governed by a radiator fan where the fan speed was controlled. The cooling pump controlled the flow rate of the coolant through the input Voltage. For the system dynamics, the heat sources and thermal management system were modeled for a set of lumped-parameter dynamic equations. It was used to calculate the waste heat of three power sources by the step response test. For the fuzzy control rules, the three inputs were the temperatures of the heat sources, while the four outputs were the control Voltages of the two proportional valves, coolant pump and the radiator. These were used to have for the purpose of optimal temperature control.
Entity radiation platform is divided into two subsystems of heating and cooling. The heating system basis simulates three power (energy) sources to have the waste heat quantity input in to being possible the formula programmable power supplies, which provides three power (energy) sources to need the heat energy immediately. The cooling system fragment sentence fuzzy control rules strategy in Rapid-Prototyping Controller. The input were the temperatures signal, changes of the control Voltages for the two proportional valves, the coolant pump and the radiator for the purpose of optimal temperature control. Results showed that because of the temperature feedback dropping Variance in the simulation cooling system and between the entity radiation platform, the radiation part opening detention creates the result partial differences. The experimental platform will be established to verify the simulation in the future. The real Vehicle Verification will be performed in the future to learn the cooling performance, spatial disposition, and endurance to experiment and analysis.

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