电气传动2026，Vol.56Issue(4)：86-96,11.DOI:10.19457/j.1001-2095.dqcd26549
面向边缘智能的匹配充电桩式电动汽车有序充电方法
Edge Intelligence-oriented Method for Orderly Charging of Electric Vehicles with Matched Charging Piles
摘要
Abstract
In response to the problems of insufficient consideration of charging pile resource constraints,low practicality of time-domain discrete models,and inadequate description of peak shaving capabilities in the current optimal scheduling of electric vehicles at charging stations,an optimal scheduling and peak shaving response capability evaluation method for electric vehicles oriented to edge intelligence was proposed based on the consideration of vehicle-pile matching.Firstly,an electric vehicle regulation and control architecture for charging stations oriented to edge intelligence was proposed.Secondly,time-domain continuous variables were used to represent the charging period,and a model of electric vehicle load and future available charging piles was constructed,with the introduction of a vehicle-pile matching matrix and constraints.Taking the guarantee of user charging demands as the primary goal and combining with the reduction of charging costs,an optimal scheduling model was established.Then,considering the translation constraints of electric vehicle loads under different peak shaving response capacities,a peak shaving response capability evaluation model was established.Finally,a typical scenario of an actual charging station was analyzed as an example,and the proposed method was compared with the traditional method that does not consider matching charging piles and time-domain discrete models to verify its effectiveness and practicality.关键词
边缘智能/电动汽车/充电桩/有序充电/匹配关系/削峰响应能力Key words
edge intelligence/electric vehicle/charging pile/orderly charging/matching relation/demand response capability分类
信息技术与安全科学引用本文复制引用
王明深,潘益,缪惠宇,韩华春,曾飞,袁晓冬..面向边缘智能的匹配充电桩式电动汽车有序充电方法[J].电气传动,2026,56(4):86-96,11.基金项目
江苏省电力试验研究院有限公司科技项目(DSY202405) （DSY202405）
