Electric vehicle charging navigation method based on prediction of dynamic occupation rates of charging piles

Abstract

The invention discloses an electric vehicle charging navigation method based on prediction of the dynamic occupation rates of charging piles in charging stations. Aiming at the problems that an electric vehicle is difficult to charge and the charging piles cannot be fully utilized, based on a deep residual neural network, the dynamic occupation rates of the charging piles in the charging stationsare predicted, the optimal charging pile in the charging stations is recommended to a user, and the path with the shortest consumed time is provided. Firstly, through a starting point set by the userand current electric quantity information of the electric vehicle, a background calculates to judge whether charging is need or not, if yes, all the charging stations capable of being reached of an area within a driving mileage are obtained, the deep residual neural network is adopted to predict driving-in and driving-away conditions of the vehicles in the charging stations, the occupation rates of the charging piles in the charging stations are calculated, based on a crowd sensing technology, the occupation rates are corrected in real time, and through the further utilization of the distancesfrom the starting point to the charging stations and the distance from the charging stations to an end point, the charging pile scheme with the optimal path is intelligently recommended to the user.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to a charging navigation method for electric vehicles based on the dynamic occupancy rate prediction of charging piles in charging stations. Background technique [0002] In order to meet the needs of urban energy conservation and emission reduction, the number of electric vehicles has gradually increased, and the resulting difficulty in charging electric vehicles has become increasingly prominent. First of all, the construction of charging infrastructure is relatively slow, the growth scale of electric vehicles is higher than the growth scale of the number of charging piles, and the gap between vehicle piles is still expanding. Secondly, the current utilization rate of charging piles in the market is uneven. Some charging piles are intensively used, while some charging piles are not used. The problem of difficulty in charging electric vehicles cannot be solved only by st...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above technical problems, the present invention provides an electric vehicle charging navigation method based on the prediction of the occupancy rate of charging piles in the charging station. By predicting the situation of vehicles entering and leaving the charging station, the occupancy of charging piles is provided for electric vehicle users. It avoids the situation that some charging piles are used in a large number and some charging piles are not paid attention to, so that the charging piles can be fully utilized; avoiding the current problem of uneven utilization of charging stations

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