New energy automobile charging control method and system based on neural network and big data

Abstract

The invention provides a new energy automobile charging control method and system based on a neural network and big data, and relates to the field of new energy automobile charging control, and the system comprises a sample obtaining module which is used for obtaining the related information of a plurality of sample new energy automobile batteries; the sample processing module is used for establishing an evaluation reference undirected graph based on the related information of the multiple sample new energy automobile batteries; the health prediction module is used for using a battery health prediction model to predict the battery health state of the current new energy automobile based on the relevant information of the current new energy automobile battery and the evaluation reference undirected graph; the data acquisition module is used for acquiring current charging environment information and current car using habit information of a user; and the charging control module is used for determining an optimal charging control strategy based on the current charging environment information, the vehicle using habit information and the current battery health state of the new energy vehicle, and has the advantage of improving the accuracy and reliability of charging control of the new energy vehicle.

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