有轨电车混合储能系统选型方法研究

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI:10.1109/AEMCSE50948.2020.00178

Ming Li, Haonan Mo, Xiaochun Fang, F. Lin, Zhongping Yang

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引用次数: 0

摘要

为了设计一个性能良好的有轨电车混合储能系统，优化能量管理策略和规模至关重要。本文建立了电池和超级电容器的数学模型，并对有轨电车的拓扑结构进行了比较。采用自适应粒子群算法(PSO)对电池和超级电容器的尺寸进行优化。根据运行数据对牵引计算曲线进行仿真计算，分析选择不同的EMS和不同的拓扑结构对尺寸结果的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Research on Sizing Method of Tram Vehicle Hybrid Energy Storage System

In order to design a well-performing hybrid storage system for trams, optimization of energy management strategy (EMS) and sizing is crucial. This paper establishes a mathematical model of battery and supercapacitor, compares the topology used in trams. Using adaptive particle swarm optimization(PSO) to optimize the size of battery and supercapacitor. Simulation calculation based on the operating data of traction calculation curve and analyzes the impact of choosing different EMS and different topologies on the size results.

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来源期刊

2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)

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