串聯式油電混合動力車能量管理策略之研究

Abstract

本研究以Power follower為基礎，依據電池系統的SOC修正增程發電系統之發電量，並利用當下的目標發電功率與實際發電功率之差值作為決定功率變化率的關鍵參數，對增程發電系統發電功率之變化率進行動態限制。其中，SOC修正發電量使得SOC值能維持在理想值附近，降低SOC Swing；動態限制發電功率變化率使車輛在正常操作的情形下有較高的發電效率，緊急加速與煞車時又能避免電池系統的電流過大，讓車輛在達到高效率的油耗表現同時，亦能提升電池系統的使用壽命。本研究透過ADVISOR對控制策略進行模擬與分析，先以歐洲新制的行車規範(NEDC)進行標準Driving cycle下的模擬，並與其他控制策略進行比較後，再接著進行都市中急遽加速與煞車、定速爬坡，以及高速行駛山路等特殊的Driving cycle的模擬，分析控制策略在不同行駛條件下的表現。最後再探討系統衰退後對控制策略表現所造成之影響，分析控制策略於衰退的系統中是否仍然能夠達到高燃油效率以及降低電池系統電流的效果。

In this research, the SOC of the battery system is applied to amend the power that the generator need to produce, helping keep the SOC of the battery system close to the ideal value and reduce the SOC swing; the difference between the needed power and the real power of the generator is used to dynamically limit the generated power change rate, keeping the power efficiency high at normal driving situation and avoiding the battery current from overloading when accelerating and decelerating rapidly. By using this method, the oil efficiency and the battery life can be improved. This research uses ADVISOR to simulate the performance of the SHEV system at NEDC cycle, compares with other control strategies, and simulates and analyzes the performance under rapid accelerating and decelerating, constant speed climbing, and driving on mountain road at high speed. Finally, this research discusses and simulates the influence of system aging on the performance of the control strategy.