針對汽車空調控制中數個重要且尚未被完全解決的問題，本篇論文將提供可參考的解決方法。本篇論文的主題概略如下，首先是如何建立車房空間溫溼度之熱動態變化模型，透過此模型我們就能夠預測車房內的溫溼度的變化。接下來是敘述如何設計出有效的控制策略，以滿足溫溼度控制的要求。最後，為了能夠測試上述的車房空間溫溼度模型與評估控制策略的效能，我們建構了一個模擬測試平台，此模擬平台不僅提供使用者方便於測試不同種類的控制策略，且其模擬結果也提供了有價值的數據以供修正改進控制策略之參考。
為了探討如何建立車房空間溫溼度之熱動態變化模型，我們首先將空氣側之完整空調循環過程繪製於濕空氣線圖上，接下來透過室內顯熱比(room sensible heat factor, RSHF)與設備顯熱比(apparatus sensible heat factor, ASHF)，將循環過程中之整體熱交換分類為顯熱交換與潛熱交換，其中值得注意的是，顯熱交換的能量轉移與車房空間溫度變化是存在著正比的關係，同理，溼度變化也可透過潛熱交換關係來表示，因此，我們採用此概念以建立車房空間溫溼度之熱動態變化模型。
接著，在這車房空間溫溼度之熱動態變化模型的基礎上，我們探討如何設計出滿足溫溼度要求的控制策略。首先，為了明確地指出此控制策略必須滿足的要求，我們定義兩個控制特性(收斂性convergence property與平衡性equilibrium property)，接著，額外空調負載(extra air-conditioning load)的概念將應用至研發控制策略的過程中，如預期般地，此概念讓控制策略表現出收歛特性。另外，此收歛特性也透過李雅普諾夫穩定定理(Lyapunov stability theorem)加以證實。
最後，為了能夠於Matlab/Simulink環境下，精準地建構出模擬測試平台，首先，整個車用空調系統的功能性分析與系統行為必須得詳細地規劃，於此，聯合塑模語言(unified modeling language, UML)提供了使用案例圖(use case diagram)與狀態機圖(statechart diagram)以滿足要求。接著，以使用案例圖與狀態機圖為藍圖，車房空間溫溼度之熱動態變化模型與控制策略為輔，整個模擬測試平台就可成型。透過此平台，不僅可以測試與評估不同的控制策略，還可以隨意調整模擬參數。此外，為了將其控制結果(溫度與溼度)清楚地呈現，我們也提供一個濕空氣線圖人機界面。模擬結果顯示，本篇論文所提出的控制策略，不僅滿足溫溼度要求之外，其擁有的步階追蹤(step change tracking)、雜訊屏除(disturbance rejection)與強健性(robustness)等重要特性以明確地將它的價值與貢獻充分地表現出來。

This study investigates an automobile climate control (ACC) problem in terms of formulating a car compartment thermodynamic model for predicting the variations in temperature and humidity ratio, deriving an effective climate control strategy for accurately controlling temperature and humidity ratio, and realizing a simulation platform for evaluating climate control strategies. Given two characteristics (room sensible heat factor, RSHF and apparatus sensible heat factor, ASHF), heat exchange involving in an air-conditioning circulation cycle can be decomposed into sensible heat exchange and latent heat exchange. Variations in the sensible heat exchange and the latent heat exchange are attributed to the changes in temperature and humidity ratio, respectively. Consequently, the compartment thermodynamic model can be formulated. Then, in addition, to clearly indicate the control target, convergence property and equilibrium property are defined. Taking an extra air-conditioning load into account, the climate control strategy can be derived: air mass flow rate and the percentage of heating air flow rate. The proposed climate control strategy has evaluated by Lyapunov stability theorem to prove the preset convergence property and equilibrium property. After that, during the development of the simulation platform, UML (unified modeling language)-based use case diagram and statechart diagram help to model the system functionalities and dynamic behaviors. Finally, given a tested climate control algorithm and environment conditions, simulation results in terms of temperature and relative humidity in the car compartment can be visually presented on an implemented GUI (graphic user interface) of psychrometric chart. With its flexibility to replace control algorithms and to change testing parameters, the implemented platform has been utilized to test control result of an enthalpy-based control algorithm, robustness of the same control algorithm at different initial conditions, and comparison of two different control algorithms.

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