Electric vehicle intelligent access control method based on machine learning
A control method and intelligent access technology, applied in the direction of electric vehicles, electric vehicle charging technology, vehicle energy storage, etc., can solve the problems of formulating or adjusting the power grid peak regulation price plan and so on
Active Publication Date: 2020-04-21
ANHUI NORMAL UNIV +1
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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-shaving. Adaptive access control for electric vehicle charging requests based on demand dynamics
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[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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The invention discloses an electric vehicle intelligent access control method based on machine learning. The method comprises the steps of 1, describing an access control process of a randomly arrivedelectric vehicle charging service request as an event-driven decision-making process; 2, taking the peak regulation electricity price of a power grid and the online service state of a charging pile as the joint state of a charging station service system; 3, taking a service request provided when the electric vehicle arrives at the charging station as an event, and when one event occurs, selectingwhether to access the arrived electric vehicle to the charging station and provide a charging service as a system action or not according to the joint state of the charging station service system; and 4, performing online optimization on an electric vehicle intelligent access service system by adopting a Q learning machine learning algorithm. According to the invention, effective electric vehicleintelligent access control can be performed on the charging station service system considering the peak regulation electricity price of the power grid, thereby being capable of improving the operation economy of the charging station, and adapting to peak regulation requirements 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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Patent Timeline
Login to View More 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