本論文主要針對一種稱為雙複合動力車輛(Dual Electric Hybrid Vehicle, DHEV) 組態,設計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,適當地分配各動力源之動力輸出比例,以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,本研究根據該類型之複合動力系統特性,提出能量管理策略以及一種基於Simplex Method的多維度最佳化參數搜尋演算法,目標為使系統於最短時間內搜尋出使系統最為省油且各次系統皆位於最佳操作範圍內之參數。在本研究中,將以數值模擬的方式評估所提出的能量管理控制策略其省能效益。經ECER40行車模式模擬結果顯示,與純引擎之同款車型相較,該DHEV利用本研究所提出的能量管理策略與最佳化演算法,可以改善耗油率達80%以上。
In this thesis, an optimal energy management system (EMS) for a so-called Dual Hybrid electric Vehicle (DHEV) is designed. The goal is to determine optimal operating parameters of the DHEV such that each of its subsystems can be operated around their respective optimal area with minimum fuel consumption for all operation conditions, under the considerations of drivability and physical constraints of the vehicle. The design of the EMS for this system is complicate due to its nonlinear nature of the hybrid system and, furthermore, without a priori knowledge of system dynamics. This thesis has proposed three kinds of energy management strategies for the EMS, as well as a kind of simplex method based parameter optimization algorithm. The results of numerical simulations have shown that the proposed EMS for the DHEV improves its fuel consumption more than 80% compared with the ICE alone vehicle in the ECER40 transient driving cycles.