Charging-discharging control method of electric vehicle

Abstract

The invention discloses a charging-discharging control method of an electric vehicle. The charging-discharging control method comprises the following steps of firstly, making a basic charging-discharging strategy of the electric vehicle, counting electric vehicles applied to join in a local area, screening out the electric vehicles conform to a condition to participate in charging-discharging service of the electric vehicle, and determining the charging-discharging service of the electric vehicle and carrying out optimal combination according to a usage rule of the electric vehicle and power utilization conditions of other loads of a power grid; secondly, acquiring power grid information in real time, inputting the power grid information to a neural network, judging a current load state of the power grid, and carrying out the charging-discharging arrangement of the electric vehicle according to the prior power utilization rule; and finally, monitoring the charging-discharging state of the electric vehicle in real time, and removing the electric vehicle with high default rate. By the charging-discharging control method, the electric vehicle serves as a power utilization device and also can be changed to a power generation device in a specified time, thus, through intelligent management on charging and discharging of the electric vehicle, the running efficiency of the power grid is improved, and the stability of the power grid also can be improved.

Description

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AI Technical Summary

Benefits of technology

This technology allows for efficient utilization of electrical resources during peak hours when there's no longer enough battery capacity needed or at nightfall due to lack of sufficient charge on an occasioned charger. It improves efficiency while maintaining safe operating conditions over time.

Problems solved by technology

Technological Problem: The technical problem addressed in this patented text relates how efficient management and allocation of resources (power) during peak hours or off periods may lead to significant changes that could negatively influence the performance of the network's components like generators, transmission lines, transformer stations, switches, regulatory devices, etc.). Additionally, monitoring the state of charge (SOC), planning its use based solely upon available capacity, has limitations due to factors like overloading caused by frequent recharge requests.

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