電動車之多電源系統建模與最佳化能量管理暨模式切換時機效益評估

Abstract

本論文針對電動車之多電源系統建模與最佳化能量管理暨模式切換時機效益評估進行研究。為提升電動車之行駛距離，本研究首先透過Matlab / Simulink軟體建立一可用於電動車之多電源系統動態模型，本系統包含行車型態、駕駛人模式、驅動馬達、傳動系統、縱向整車動態、燃料電池、超級電容器及鋰電池之八大次系統動態模型。並且將各動態模型聯結為一整車動態模型。本系統操作模式可分為純電動模式(EV)、混合模式(Hybrid)、延距模式(RE)及超級電容輔助模式(SC-Power Assist)之四大模式，接著在車輛馬達驅動與回充時，透過全域搜尋法則(Global Search Algorithm) 設定目標函數(Cost Function)與系統限制 (Constaints)，進行多層For迴圈搜尋最佳參數，並分析出最佳能量管理參數多維表與最佳操作模式切換時機點，最後將此組參數整合至控制策略之模塊中，便可判別操作模式之切換時機，進而達成多電源系統最佳效能之目標。結果顯示本研究將最佳能量管理參數多維表及最佳操作模式切換時機點之導入控制策略，可成功提升整車性能，導入最佳化能量管理參數，行駛距離可改善7.81 %；導入最佳化能量管理參數與操作模式切換點，行駛距離可改善10.37 %。This paper changeover timing benefit assessment study as much power for the electric vehicle system modeling and optimization of energy management cum mode. To enhance the travel distance of the electric vehicle, the present study first established through Matlab / Simulink software can be used for an electric vehicle as much power system dynamic model, this system includes traffic patterns, driver mode, the drive motor, transmission, longitudinal vehicle dynamics , eight times the system dynamic model of the fuel cells, super capacitors and lithium batteries. And each link is a dynamic model of the vehicle dynamics model. The mode of operation can be divided into pure electric mode (EV), hybrid mode (Hybrid), extended distance mode (RE) and super capacitor auxiliary mode (SC-Power Assist) mode of four, followed by motor vehicle drivers and backfilled When, through its wholly-domain discovery rule (Global Search Algorithm) set a target function (Cost Function) and system limits (Constaints), multilayer For loop search for the best parameters, and analyze multidimensional optimal energy management parameter table with the best mode of operation changeover timing point, the last set of parameters to this integrated control strategy of the module, you can determine the timing of the operation mode of the switch, and then reached the target the best performance of multiple power systems. The results of this study will show optimal energy management parameters multidimensional table and best operation mode switching timing point of import control strategy can successfully increase vehicle performance, import optimize energy management parameters, the travel distance can be improved 7.81%; introducing best of energy management parameters and operation mode switching point, the travel distance can be improved 10.37%.