基于马尔科夫链理论的电动汽车充电负荷度量研究
Research on Measurement of Electric Vehicle Charging Load Based on Markov Chain Theory
张乐 1吴长令 1郑伟1
作者信息
- 1. 山东中实易通集团有限公司,山东济南 250003
- 折叠
摘要
电动汽车充电负荷度量是电动汽车充电配置规划的重要依据,但现行方法的度量精度较低,度量结果的置信水平较低,MPE较高,无法达到预期的度量效果,因此,提出基于马尔科夫链理论的电动汽车充电负荷度量研究.利用马尔科夫链理论对电动汽车充电和出行过程进行表达,描述汽车剩余荷电状态转移过程,并根据不同时间段的荷电状态转移过程分析电动汽车充电负荷需求,度量电动汽车充电负荷,实现基于马尔科夫链理论的电动汽车充电负荷度量.经证明,该设计方法度量结果的置信水平在 96%以上,MPE不超过 1%,可以实现对电动汽车充电负荷的精准度量.
Abstract
The measurement of electric vehicle charging load is an important basis for electric vehicle charging configuration planning.However,the current methods have low measurement accuracy,low confidence level of measurement results,high MPE,and cannot achieve the expected measurement effect.Therefore,a research on electric vehicle charging load measurement based on Markov chain theory is proposed.Using Markov chain theory to express the charging and travel process of electric vehicles,describing the residual state of charge transfer process of the vehicle,and analyzing the charging load demand of electric vehicles based on the state of charge transfer process at different time periods,measuring the charging load of electric vehicles,thus achieving the measurement of electric vehicle charging load based on Markov chain theory.Experimental results have shown that the confidence level of the measurement results of the design method is above 96%,and the MPE does not exceed 1%,which can achieve accurate measurement of the charging load of electric vehicles.
关键词
马尔科夫链理论/电动汽车/充电负荷/剩余荷电状态Key words
Markov chain theory/electric vehicles/charging load/remaining state of charge引用本文复制引用
出版年
2024
NETL
NSTL
万方数据