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A machine learning-based intelligent access control method for electric vehicles

A control method and intelligent access technology, applied to electric vehicles, electric vehicle charging technology, vehicle energy storage, etc., can solve problems such as formulating or adjusting grid peak-shaving electricity price plans, and achieve adaptive grid peak-shaving needs and improve operation Economic efficiency and the effect of improving feasibility

Active Publication Date: 2021-07-30
ANHUI NORMAL UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The existing grid electricity price adopts a very simple and fixed time-of-use electricity price mechanism. It does not dynamically formulate or adjust the grid peak-shaving electricity price plan according to the actual forecast of the grid's source load, and the charging station service system does not follow the actual grid peak load regulation. Adaptive access control for electric vehicle charging requests based on demand dynamics

Method used

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  • A machine learning-based intelligent access control method for electric vehicles
  • A machine learning-based intelligent access control method for electric vehicles
  • A machine learning-based intelligent access control method for electric vehicles

Examples

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Embodiment Construction

[0040] In this example, if figure 2 As shown, a machine learning-based intelligent access control method for electric vehicles is applied to a system composed of J charging piles 1, M types of electric vehicles 2 arriving at random, grid peak-shaving electricity price plan 3, and access control center 4 In the charging station service system, and each charging pile can adaptively meet the charging power requirements of M electric vehicles;

[0041] Record the jth charging pile as CS j , and only provide charging service for one electric vehicle at a time; thus, the J charging piles are respectively recorded as CS 1 ,CS 2 ,...,CS j ,...,CS J , j=1,2,...,J;

[0042] Denote the charging power demand of the mth electric vehicle as P m KW, and its total battery capacity is E m KWH is determined by the configuration of the electric vehicle itself; thus, the charging power demand of M types of electric vehicles is recorded as P 1 ,P 2 ,...,P m ,...,P M , m=1,2,...,M;

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Abstract

The invention discloses a machine learning-based intelligent access control method for electric vehicles, comprising: 1. describing the access control process of randomly arriving electric vehicle charging service requests as an event-driven decision-making process; 2. The pile online service status is regarded as the joint state of the charging station service system; 3. The electric vehicle arrives at the charging station and puts forward a service request as an event. When an event occurs, according to the joint state of the charging station service system, choose whether to connect the arriving electric vehicle The charging station provides charging service as a system action; 4. The Q-learning machine learning algorithm is used to optimize the electric vehicle intelligent access service system online. The invention can effectively control the intelligent access of electric vehicles to the charging station service system considering the peak-shaving electricity price of the power grid, thereby improving the operation economy of the charging station and adapting to the peak-shaving demand of the power grid.

Description

technical field [0001] The invention belongs to the technical field of intelligent control and optimization, in particular to a machine learning-based intelligent access control method for electric vehicles. Background technique [0002] my country is currently the largest automobile consumer market in the world. Automobile manufacturers have shifted the focus of R&D and production from traditional energy-powered vehicles to new energy vehicles. Among them, electric vehicles will be the development of new energy vehicles for a long period of time. Mainstream, with huge consumption potential, the market share will also increase. The charging pile is an important infrastructure for providing charging services for electric vehicles, and it is also an important link in the process of industrialization and commercialization of electric vehicles. With the rapid development of the electric vehicle industry and the substantial increase in the number of electric vehicles in the marke...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/00B60L53/64G06Q50/06
CPCB60L53/64G06Q50/06H02J3/008Y02T10/70Y02T10/7072Y02T90/12Y04S10/50
Inventor 唐子昱李紫昕方明星
Owner ANHUI NORMAL UNIV