Abstract：A piecewise tracking energy optimization approach was developed to manage the battery state of charge (SOC) consumption and the splitting power to improve the fuel economy of extended-range electric city buses while ensuring their performance. The approach established a stage power splitting optimization model for each control period by constructing a power demand prediction sequence and designing a reference curve to manage the SOC consumption. Model predictive control was introduced for rolling optimization and strategy adjustment. For the Chinese city bus driving cycle, this approach enables a 12 meters extended-range electric city bus to use only 21.8 L fuel and 25.4 kWh electricity per 100 km, which are better than CDCS strategy based results (24.1 L fuel and 25.4 kWh electricity per 100 km). The results show that by preventing the SOC from running out during the route but only reaching its minimum, this approach ensures the dynamic performance and improves the fuel economy.
谢海明, 林成涛, 刘涛, 田光宇, 黄勇. 增程式城市客车能量的分段跟踪优化方法[J]. 清华大学学报（自然科学版）, 2017, 57(5): 476-482.
XIE Haiming, LIN Chengtao, LIU Tao, TIAN Guangyu, HUANG Yong. Piecewise tracking energy optimization approach for an extended-range electric city bus. Journal of Tsinghua University(Science and Technology), 2017, 57(5): 476-482.
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2017, Vol. 57 
