超级电容有轨电车智能调度与协同充电策略研究

本项目针对新型城市轨道交通工具——超级电容有轨电车，通过分析充电站老化现象对有轨电车运行可靠性的影响，提出一种超级电容有轨电车智能调度和协同充电方法。首先，研究基于多源数据融合的充电站健康状态预测方法，实现对充电站老化程度的全面、准确评估。然后，结合充电站的健康状态信息，设计基于多目标优化有轨电车智能充电调度算法，保证有轨电车的能量需求，最小化系统运营成本。最后，针对充电站内部的并联充电模组，根据充电模组的健康状态，设计基于比例负载均衡的协同充电算法，提高充电站的可靠性，实现对有轨电车的可靠充电。通过本项目的研究，将提高超级电容有轨电车的可靠性保障水平，保障有轨电车安全、可靠运行，促进超级电容有轨电车的应用和推广。

This project proposes an intelligent scheduling and cooperative charging scheme for the emerging supercapacitor trams by analyzing the effects of the aging of charging stations on the operation reliability of supercapacitor trams. Firstly, a state-of-health (SoH) prediction method is proposed based on the multi-data fusion to evaluate the aging of charging stations comprehensively and accurately. Secondly, by considering the SoH information of charging stations, we propose an intelligent charging scheduling algorithm for supercapacitor trams to guarantee the energy requirement of trams and to minimize the operation cost. Finally, based on the SoH of parallel charging modules in the charging station, a proportional load balancing based cooperative charging algorithm is proposed to improve the reliability of the charging station and to realize the reliable charging for the trams. The study is dedicated to improving the reliability level of supercapacitor trams, which can guarantee the safe and reliable operation of supercapacitor trams and popularize the supercapacitor trams in the society.