- 學位論文
並聯式油電複合動力車之燃油經濟優化
Fuel Economy Optimization of a Parallel Hybrid Electric Vehicle
摘要
由於雙動力源的混合動力系統擁有低油耗及低汙染之優點。因此被廣為討論，並依其不同的硬體結構，發展出各種不同的控制策略。本文研究是透過動態規劃(Dynamic Program)方法找出混合動力車的油耗最佳化。 本文所採用的混合動力系統是並聯式的混合動力系統，其系統是依照Honda Civic Hybrid 的IMA(Integrated Motor Assist)系統，應用Mathlab/Simulink 建模、模擬和分析油耗，然後將所選的可變動參數在設定的範圍內利用動態規劃方法來找出油耗的最佳化之區域，最後針對此優化結果加以分析討論。 研究結果顯示，利用動態規劃之方法能有效減少22.8%的燃油消耗。而對引擎扭力加入限制條件後，油耗改善了19.26%。
並列摘要
Due to the two power sources, the hybrid system has the advantage of low fuel consumption and low pollution, and so they are widely discussed. The hybrid systems have different hardware architectures, and varieties of control strategies have been developed. The object of the research is to optimize fuel consumption of Hybrid Electric Vehicle(HEV) with the Dynamic Programming(DP) method. This research uses parallel hybrid system, and the system is in accordance with Honda Civic Hybrid’s Integrated Motor Assist(IMA) system,which is modeled and simulated in Mathlab/Simulink environment. Then, the dynamic programming method is applied to the selected variable parameters within a set range to find the fuel optimal region. Finally, the optimization results are analyzed and discussed.
參考文獻
延伸閱讀
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