Electric vehicle community automatic charging cluster system based on cloud optimization matching

Abstract

The embodiment of the invention provides an electric vehicle community automatic charging cluster system based on cloud optimization matching. The electric vehicle community automatic charging clustersystem comprises a charging device cluster, a cloud server and a terminal; the charging device cluster comprises a plurality of charging devices which are used for executing received charging tasks;each charging device sends state data to the cloud sensor in real time; the terminal is used for receiving the charging tasks reserved by users and sending the charging tasks to the cloud server; andthe cloud server adapts to manage the charging device cluster to complete the charging tasks reserved by the users. Through the cloud server, the user terminal and the automatic charging devices are related to master working states of the automatic charging devices in real time, according to reservation demands of a user side, user vehicles with a low-speed automatic parking function and an automatic charging system cluster are optimally matched according to an optimization scheduling algorithm, and thus the overall charging efficiency and the optimal user experience of the automatic chargingsystem cluster are improved through dynamic optimization scheduling.

Description

technical field [0001] This application relates to the field of Internet-based cloud technology, and in particular to an electric vehicle community automatic charging system cluster based on cloud optimization and matching Background technique [0002] The community is the space where human beings gather and live. Most of the non-working time of urban residents is spent in the community. At the same time, the community is also a place to provide residents with various services. Especially with the maturity of information technologies such as the Internet of Things, big data, and smart terminals, intelligent community services based on information interaction continue to popularize, making traditional communities increasingly transition to smart communities. [0003] As the number of cars owned by urban and rural residents in my country continues to increase, vehicle-related services occupy a position that cannot be ignored in community planning, construction, and operation. ...

AI Technical Summary

Problems solved by technology

[0005] However, the current charging piles installed in community parking spaces are limited by the site and technical conditions, and completely rely on the user's manual operation, which is very inconvenient to use. Lack of an effective management model, far from the service standards of the smart community

In addition, at present, only a part of the parking spaces in the community parking lot are equipped with charging piles. The installation of charging piles will involve a lot of renovation construction and equipment costs, and it will also occupy a certain amount of parking space. If you blindly increase the number of charging piles without considering the efficiency of use, It will bring unnecessary waste. How to improve the efficiency of charging pile clusters through optimization and realize the overall low-cost configuration of charging piles in the parking lot is a problem that needs to be studied.

Images