Electric automobile V2G control method based on intelligent charging pile

Abstract

The invention relates to an electric automobile V2G control method based on an intelligent charging pile. The electric automobile V2G control method based on the intelligent charging pile comprises the following steps: acquiring historical load data information of the current control area through a user electricity information acquisition system, predicting the conventional electrical load of thearea on that day and generating a load curve; according to the generated load curve, dividing peak and valley time; calculating the load margin of each sub-time; acquiring battery information accessedinto the electric automobile by the charging pile and through a battery management system, acquiring related information such as the charging requirement of the user by a user interface, and determining user access time ai, user departure time Li and charging time TEV, i, wherein the charged state of the battery has upper and lower limit in order to guarantee the health of the electric automobilebattery, and the whole and charging and discharging process is conducted in the interval; and grouping a vehicle group according to that the user access time ai is in the peak or valley time. According to the flow of the control method, a centralized control center does not need to perform real-time communication and control, so that communication burden and control difficulties are reduced.

Description

technical field [0001] The invention relates to the technical field of smart grids, in particular to a V2G control method for electric vehicles based on smart charging piles. Background technique [0002] In recent years, energy crisis and environmental issues have received more and more attention. Due to the maturity of battery technology, the reduction of cost and its own environmental protection characteristics, the electrification of transportation centered on electric vehicles is developing rapidly. However, when a large number of electric vehicles are connected to the grid, as a new type of load, their power consumption has double uncertainty in time and space. If it is not regulated, it will inevitably lead to the phenomenon of peak-to-peak superposition of the load curve of the power distribution system. Further increasing the peak-to-valley difference will seriously affect the stability of power supply. [0003] The vigorous development of smart grid technology ha...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, the orderly charge and discharge control strategy of electric vehicles based on time-of-use electricity price mostly relies on complex centralized communication control systems, but considering the wide distribution of individual users, small load capacity and certain randomness of charge and discharge behavior , the cost of direct grid control is high, and it is difficult to interact with charging and control information in a timely manner

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