Automobile charging pile intelligent recommendation method and system based on multi-dimensional analysis

Through the intelligent transportation network, the traffic data of the charging pile area is obtained and analyzed, and combined with the vehicle's charging needs, the charging pile area recommendation index is generated, which solves the problem that the existing system cannot effectively avoid traffic peaks, and achieves more accurate and dynamic charging pile recommendations, improving user experience and system efficiency.

CN119691017AActive Publication Date: 2025-03-25SHENZHEN HUINENG NEW ENERGY TECH CO LTD
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Patent Information

Application Number
CN202510210366.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-25
Publication Date
2025-03-25
Estimated Expiration
2045-02-25

AI Technical Summary

Technical Problem

The existing charging pile recommendation system cannot effectively avoid traffic peaks and congested areas, causing car owners to waste time or miss the best charging time, and lack dynamic adjustment capabilities to adapt to changing traffic conditions.

Method used

The traffic flow information, traffic signal information and intersection prediction information of the charging pile area are obtained through the intelligent transportation network, and the regional traffic feature vector is formed, and the traffic flow index and congestion index are preprocessed to obtain the traffic flow index and congestion index, and multi-dimensionally fit it with the vehicle's charging emergency index to generate the charging pile area recommendation index, and evaluate and optimize the charging pile recommendation results.

Benefits of technology

It improves the accuracy and user experience of charging pile recommendations, avoids charging delays caused by traffic congestion, improves the liquidity and efficiency of the charging system, and provides a more personalized and dynamic charging pile recommendation solution.

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Abstract

The invention discloses an automobile charging pile intelligent recommendation method and system based on multi-dimensional analysis, relates to the technical field of automobile charging, further optimizes a charging pile area recommendation index CR by calculating multi-dimensional fitting of a charging emergency index CEI and a plurality of traffic factors, and ensures that the recommendation result not only considers the availability of the charging pile, but also considers the recommendation result of the charging pile. And the close relation between the traffic condition and the vehicle charging demand is fully reflected. According to the method, delay or charging difficulty caused by factors such as the position of the charging pile or the traffic peak in a traditional method is avoided, so that the charging pile recommendation accuracy and the user experience are greatly improved, and more intelligent recommendation logic is realized. The method not only provides a more personalized recommendation scheme for the vehicle owner, but also avoids the recommendation to a high traffic flow area in the peak period of congestion, reduces the charging waiting time of the vehicle, and improves the mobility and efficiency of the whole electric vehicle charging system.
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