複合動力車輛能量管理系統參數最佳化之研究

Research on Parameter Optimization for the Energy Management System of Hybrid Electric Vehicle

能量管理策略對複合動力車輛燃油經濟性的改善具有關鍵作用，本文針對工業研究院所開發之複合動力車輛系統組態，設計其最佳化能量管理策略，使該系統於各種行駛條件下，在符合駕駛者之動力需求下，能夠適當地分配各動力源之動力輸出比例，使該車輛的能源效率提升至最高。由於系統的高度非線性與參數之不確定性的因素下，因此提出一種基於邏輯規則的能量管理策略並結合改善型單體法 （modified simplex method），能於最短時間內搜尋出各系統最佳操作參數值。為了探討單體法應用於複合動力即時能量管理策略的可行性，將以數值模擬的方式評估所提出的能量管理策略之功效，採用歐洲新制的駕駛循環模式 （new European driving cycle, NEDC） 進行測試，結果顯示該策略確實能即時搜尋系統最佳操作值，因而提高整體燃油效益，證實所提出的能量管理策略具有合理性與可行性。

The hybrid electric vehicle (HEV) has been widely studied recentlydue to its high potential in reduction of fuel consumption, exhaust emission,and noise. Because it is equipped with various power sources, an HEVrequires an energy management system (EMS) to find out the sequence ofoptimal power splits at each instant of time that minimizes fuel consumptionover a given driving schedule. The task in this paper is to design an energy management strategy for the HEV developed by the industrialtechnology research institute (ITRI) of Taiwan. Due to the nonlinear natureand the uncertain parameters of the system model, a modified simplexmethod based energy management strategy is proposed for the HEV system.The modified simplex method was presented early in the 1965, which isoriginally developed for unconstrained deterministic optimization. Hence, away to apply the modified simplex method for searching the optimaloperating parameters of energy management strategy in real time is presented.The feasibility of the proposed method was verified by performingnumerical simulation on the new European driving cycle.