研究生: |
吳建勳 Wu, Chien-Hsun |
---|---|
論文名稱: |
綠能車輛動力系統之控制導向模型化與最佳控制器設計整合 Control-Oriented Modeling and Integrated Optimal System Controller Design for Green Power Vehicles |
指導教授: |
洪哲文
Hong, Che-Wun |
口試委員: | |
學位類別: |
博士 Doctor |
系所名稱: |
工學院 - 動力機械工程學系 Department of Power Mechanical Engineering |
論文出版年: | 2010 |
畢業學年度: | 98 |
語文別: | 中文 |
論文頁數: | 100 |
中文關鍵詞: | 燃料電池 、超電容 、鋰離子電池 、系統動態 、最佳化 |
外文關鍵詞: | fuel cell, supercapacitor, lithium-ion batter, system dynamics, optimization |
相關次數: | 點閱:3 下載:0 |
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本論文針對三種綠色能源:氫氣質子交換膜燃料電池、超電容以及鋰離子電池,進行以控制器設計暨即時模擬為導向之系統動態建模;並分析線性、非線性,時域與頻域之關係。之後,發展出一套最佳化系統匹配/能量管理之整合型系統設計流程,以利後續電動載具應用。系統建模理論部分主要採取適用於多重領域之鍵結圖法則,以進行各能量源之建模。質子交換膜燃料電池部分,首先由創新之鍵結圖元件得到高非線性動態,而後進行系統參數鑑別與線性化。超電容先以交流阻抗法建立等效線性模型後,藉由鍵結圖推導與分析時頻域之動態,接著以一組三層類神經網路,建構模型參數與操作溫度、系統電壓之非線性關係,最後完成即時非線型超電容模型。鋰離子電池部份,先以交流阻抗法取得其新型等效電路並進行參數鑑別,另以鍵結圖法求得之模型進行分析比對。
本論文另一主軸為發展最佳系統匹配與能量管理之整合型混合混合儲能系統設計流程。最佳混合系統匹配,可分為時間獨立與時間相依兩種全域搜尋流程,利用訂定之指標參數、目標函數與多迴圈架構,進行全域模擬。最佳能量管理部分,亦利用相似原理,求得整車控制器之雙動力源之能量管理多維表,以達到耗能最小化之目標。整合上述兩者之研究,發展整合型最佳系統匹配/能量管理演算流程,以達成絕對最佳化之目標。
This thesis aims to study three green power sources: proton exchange membrane fuel cells (PEMFCs), supercapacitors (SCs), and lithium-ion batteries (LIBs). The first research scope is to model their system dynamics for controller design and real-time simulators; the relationship among linear models and nonlinear models in the time domain and the frequency domain was analyzed. Next, a design procedure for optimal system integration and energy management of a hybrid electric power source was explored. It mainly focuses on the application to electric vehicles. For multi-disciplinary system modeling, a unified bond graph approach was employed. The highly-nonlinear model of PEMFCs using novel bond graph elements was firstly constructed. Then parameter identification and model linearization algorithms were solved. Comparison between the bond graph model and the electric circuit was completed to discuss the model accuracy and the physical interpretation. For the SCs, an equivalent linear model via AC impedance spectroscopy was built up. A bond graph derived from the equivalent model was further established to analyze the system dynamics in the time domain and in the frequency domain. To describe the nonlinear effects among model parameters, operation temperature, and the SC voltage, a three-layer artificial neural network was applied to form an online nonlinear SC model. For the LIBs, a new equivalent circuit according to the AC impedance approach was set up. The parameters were identified from the experimental data. Comparisons between the bond graph model and the equivalent circuit were then discussed.
The second research target in this thesis was to develop a design procedure of optimal system integration and energy management for hybrid electric power sources. For hybrid system combination, two global optimization search methods: a time-independent and the other time dependent methods were proposed. By selecting evaluation indices, a cost function, and a multiple for-loop structure code, the optimal solution can be found. With similar procedures, the optimal energy management was evaluated in the form of multi-dimensional tables in the vehicle control unit to deal with the equipped dual power sources. Integrating the above two research issues, a procedure for optimal system designs/energy management was proposed. The absolute optimization can thus be achieved.
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