本研究利用等效油耗最小策略針對油電混合機車設計一個適應性動力分配控制策略。等效因子可用來將使用的電能轉換為等效的燃油消耗量,通常是依據電池殘電量預先決定之函數。然而,此函數不一定適合其他不同的行車型態,因此本研究將利用適應性模糊滑模控制器,依據電池殘電量的變化調整等效因子。接著針對所有燃油消耗建立一個瞬時的成本函數,進行最佳化搜尋,即可獲得最佳的引擎/馬達動力分配比例。最後利用Matlab/Simulink建立油電混合機車之整車模型進行模擬,以驗證所提出策略之性能,初步的模擬結果顯示本研究所提出之策略可有效的減少燃油消耗,對於不同的行車型態亦有良好的適應性。
An adaptive power split control for hybrid electric scooter is proposed in this paper. It is designed based on the equivalent consumption minimization strategy. The equivalence factor is used to transform the electric energy into the equivalent fuel energy and is often selected to be a predetermined function of the state of charge (SOC) of the battery. However, the predetermined function might not be optimal for different driving cycles. An adaptive fuzzy sliding mode controller is used to adjust the equivalence factor according to the SOC deviation. An instantaneous cost function which consists of the total fuel consumption is then minimized to obtain the optimal power split between the international combustion engine and electric motor. A hybrid electric scooter model established in Matlab/Simulink is used to evaluate the performance of the proposed approach. The preliminary results show promising improvement for fuel consumption and adaption for different driving cycles.