铁路通信信号工程技术2026，Vol.23Issue(8)：97-103,114,8.DOI:10.3969/j.issn.1673-4440.2026.08.014
新能源有轨电车混合储能系统优化控制
Optimal Control of Hybrid Energy Storage System for New Energy Tram
马铭 1姚美如2
作者信息
- 1. 中国铁路上海局集团有限公司杭州供电段,杭州 310009
- 2. 北京全路通信信号研究设计院集团有限公司,北京 100070
- 折叠
摘要
Abstract
To address the needs of a tram powered by intermittent grid-connected renewable energy sources,a loss model for the energy storage system is established.Aiming to improve the operational efficiency of the energy storage system,this study utilizes sequential dynamic programming to achieve the offline optimization of power allocation among hybrid power sources.To solve the problem of real-vehicle optimal control,this paper proposes an online controller based on BP neural network.The offline optimization results are used as a training set to improve the neural network controller.Compared with the conventional threshold method,the dynamic programming strategy can significantly reduce the power loss of the hybrid energy storage system.Meanwhile,the BP neural network can accurately fit the decision making results of the dynamic programming strategy thanks to its learning capability,thereby solving the problem of real-vehicle online control.Thus,it can significantly improve the energy efficiency of the vehicles across diverse operating conditions.关键词
有轨电车/混合储能/能量管理策略/顺序动态规划算法/BP神经网络Key words
tram/hybrid energy storage/energy management strategy/sequential dynamic programming algorithm/BP neural network分类
交通工程引用本文复制引用
马铭,姚美如..新能源有轨电车混合储能系统优化控制[J].铁路通信信号工程技术,2026,23(8):97-103,114,8.
