基于加速时间预测的现代有轨电车储能系统能量管理与容量配置优化研究

发布时间：2018-01-07 17:17

  本文关键词：基于加速时间预测的现代有轨电车储能系统能量管理与容量配置优化研究　出处：《电工技术学报》2017年23期 　论文类型：期刊论文

  更多相关文章： 有轨电车 混合储能 加速时间预测 能量管理 容量配置

【摘要】：电池寿命过短和配置空间有限是现代有轨电车储能系统应用存在的重要问题,给其能量管理策略和容量配置方法的设计带来了挑战。该文首先对影响电池寿命的因素进行了分析,建立了寿命估计模型。针对电池与超级电容混合储能系统,提出了基于加速时间预测的能量管理策略:根据车辆加速时间计算超级电容的实际可用功率,进而决定电池和电容的功率分配。该策略基于有轨电车运行周期性确定加速时间预测窗口,并充分考虑超级电容放电时间。仿真和实验验证了该策略具有充分利用超级电容能量和减弱电池寿命衰减的良好效果。同时,分别基于基本阈值策略和加速时间预测控制策略进行优化容量配置,分析不同控制策略对容量配置结果的影响。结果表明该文的策略通过降低超级电容的配置要求以及延长电池寿命实现了全寿命周期成本的降低。
[Abstract]:Battery life is too short and the allocation of limited space is modern tram storage systems is an important problem in application, bring challenges to the design of the energy management strategy and capacity allocation method. This paper first analyzes the factors affecting the battery life, establish the life estimation model for hybrid storage battery and super capacitor can system, energy management strategy was proposed based on the prediction of the acceleration time: according to the actual power available vehicle acceleration time calculation of super capacitor, and then determines the power allocation for batteries and capacitors. The strategy based on periodic running trolley determine acceleration time prediction window, and give full consideration to the super capacitor discharge time. Simulation and experimental results verify the strategy can make full use of super capacitor energy and decrease battery life attenuation with good results. At the same time, based on prediction threshold strategy and acceleration time The control strategy is used to optimize the capacity allocation and analyze the influence of different control strategies on the capacity allocation results. The results show that the strategy reduces the life cycle cost by reducing the configuration requirements of the super capacitor and prolonging the battery life.

【作者单位】： 北京交通大学电气工程学院;
【分类号】：U482.1
【正文快照】： 0引言现代有轨电车具有速度高、弹性灵活(模块化设计)、乘坐舒适、造价低、工期短等优点,将在城市交通中扮演越来越重要的角色,为缓解交通压力做出贡献。由于传统的架空接触网方式存在建设维护成本高、破坏城市美感的缺点,无网供电方式将得到更广泛的应用,其中车载储能供电方，

本文编号：1393502