【摘要】 为提高插电式混合动力客车的燃油经济性,可利用智能交通系统(intelligent transport system,ITS)提供的多种交通信息设计工况自适应能量管理策略。为此,首先搭建了能采集多种ITS信息的仿真平台,发现了电池电量消耗速率与交通拥堵等级之间的显著相关性。据此,先利用交通拥堵等级预测剩余行程的车速以分配各路段的电量,再利用多种信息准确地预测当前路段的车速,并结合当前路段的可用电量得到电量消耗轨迹。最后在线应用时通过跟随该轨迹实现最终的能量管理策略。通过仿真分析,发现该策略的性能较CDCS策略最多可提升15%,接近动态规划所得的全局最优解。更多还原

【Abstract】 In order to improve the fuel economy of plug-in hybrid electric bus,traffic information provided by Intelligent Transport System( ITS) can be used to design an adaptive online energy management strategy. To this end,a simulation platform who can collect a variety of ITS signals is built,then a significant correlation between SOC consumption rate and traffic congestion level is found. Based on this correlation,we first use traffic congestion levels to predict the speed sequences for the remaining journey to distribute SOC to road sections,then we use more signals to accurately predict the speed sequences of the current road section. After combining with the distributive SOC ofthe road section,a SOC consumption trajectory is obtained. During the process of online application,the final energy management strategy is achieved by following the trajectory. By the simulation test,the performance of the online strategy is better than the CDCS strategy up to 15%,and is close to the global optimal solution obtained by dynamic programming.更多还原