插電式混合動力電動車之智慧節能巡航控制研究

Abstract

本論文針對插電式混合動力電動車(PHEV)之智慧節能行車技術進行研究，以期提升插電式混合動力車之行駛效能，藉以增加續航力與競爭力。本研究提出一套以巡航控制為基礎之節能行車控制方法，此方法透過調節傳統定速巡航控制系統之參考車速，以改變PHEV動力系統之動態負載，此行車控制系統根據地形變化、道路參數與前方交通動態資訊等調整車速，使動力系統運作於高效區與車輛行駛於安全範圍。本論文所提出之節能行車控制器採用非線性模型預測控制Nonlinear Model Predictive Control (NMPC)與瞬時功率最小化策略instantaneous power minimization (IPM)分別進行車速最佳化與馬達系統之動力分配，MiL/ HiL結果顯示此套節能巡航控制技術可減少5~10%之行車能耗。

An eco-driving system for the plug-in hybrid electric vehicle (PHEV) to improve the energy economy is presented. This research proposes an eco-cruise controller (eco-CC), it is able to adjust cruising speed by receiving and analyzing terrain information and then furthermore to reduce the consumption of energy. The nonlinear model predictive control technique (NMPC) is used to optimally control vehicle speed and the instantaneous power minimization (IPM) strategy is adopted to deal with the torque distribution of multi-motor system. The research also takes the safety and comfort into consideration. The eco-CC deals with the design of an adaptive cruise control system considering the safety as well as comfort aspects of corner road. At last, this research has been proven with real motors response, these simulations demonstrate that eco-CC improves the total energy cost about 5~10%.