车辆再生反馈能量利用率分析及预估模型构建  

Analysis and estimation model construction for utilization rate of regenerative energy feedback

作　　者：周媛 张轶 陈泽锋 ZHOU Yuan;ZHANG Yi;CHEN Zefeng(Shanghai Shentong Metro Group Co.,Ltd.,Shanghai 201103,China)

机构地区：[1]上海申通地铁集团有限公司,上海201103

出　　处：《铁道机车与动车》2024年第8期20-23,33,I0001,共6页Railway Locomotive and Motor Car

基　　金：上海市2021年度“科技创新行动计划”社会发展科技攻关项目(21DZ1203600)。

摘　　要：根据对上海地铁车辆历史能耗数据的分析,着重研究发车间隔与再生反馈能量利用率之间的关联关系,并以此为依据利用机器学习的AutoML框架,构建评估模型,对再生反馈能量利用率进行预估,该预估值可用作后续对线网整体能耗调优的数据支撑。Based on the analysis of historical energy consumption data of Shanghai's metro vehicles,we especially studied on the correlation between the departing intervals and the utilization rate of regenerative energy feedback,on which we constructed an evaluation model using machine learnings AutoMI framework to estimate the utilization rate of regenerative energy feedback.The estimated value can be used as data support for optimizing the overall energy consumption of the network in the future.

关 键 词：地铁车辆 再生反馈能量 电阻制动能耗 再生反馈能量利用率 机器学习 

分 类 号：U231.8[交通运输工程—道路与铁道工程]