A method for recommending electric vehicle charging stations considering multiple factors and multiple scenarios

Abstract

The invention relates to a method for recommending an electric vehicle charging station considering multiple factors and multiple scenarios, and belongs to the field of electric vehicle charging. This method obtains the current SOC and location of the user's vehicle in real time; enters the active recommendation mode and the passive recommendation mode respectively according to whether the user initiates a charging recommendation request; in the active recommendation mode and the current SOC of the vehicle is less than the set threshold, or in the passive recommendation mode And when the user does not set a charging target, according to the index value corresponding to each charging station and the current weight corresponding to each index, the score of each charging station is calculated and sorted, and finally the user's charging station recommendation result is obtained. This method comprehensively considers multiple factors, combined with user preferences, considering distribution network load rate, user behavior scenarios and user application scenarios, taking into account various goals such as the shortest charging time for users, the lowest charging cost, and the most balanced grid load, etc., intelligently for Users give recommendations.

Description

technical field [0001] The invention relates to a method for recommending an electric vehicle charging station considering multiple factors and multiple scenarios, and belongs to the field of electric vehicle charging. Background technique [0002] In recent years, with the aggravation of air pollution and the reduction of fossil fuels, electric vehicles, as vehicles using electric energy, are becoming more and more popular among users because they do not pollute urban air, are less noisy and require less maintenance. Coupled with the active promotion of the government, electric vehicles are becoming more and more popular. [0003] However, due to technology, cost and other reasons, the average mileage of electric vehicles is significantly lower than that of fuel vehicles. Therefore, it is necessary to configure enough charging piles for electric vehicle users, so that users can easily find suitable charging piles when they have charging needs. It can also actively remind u...

AI Technical Summary

Problems solved by technology

This method uses the neural network model to determine the recommended charging station, but the neural network model is relatively complex and the interpretability is not strong

Moreover, both patents adopt the recommendation mode of user wake-up. In addition, the recommendation does not consider balancing the grid load, does not combine the time and scene of the user's charging recommendation request, and does not provide users with a variety of preferences to choose from.

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