To address the supply-demand matching problem of electric vehicle charging piles and improve charging effi-ciency,this study designs and implements an intelligent matching-based electric vehicle charging pile sharing system.The system adopts a WeChat Mini Program and Spring Boot framework,integrating an intelligent recommendation algorithm based on a Multi-Layer Perceptron(MLP)to optimize charging pile allocation using machine learning models.The backend architecture incor-porates Spring Boot and MyBatis-Plus,leveraging Redis caching and MySQL database to enhance resource management efficiency and data operation performance.Key functional modules include publishing charging requests,sharing charging piles,intelligent recommendations,order management,and charging pile management.The system provides comprehensive and convenient charging pile sharing services,significantly enhancing user experience and resource utilization,with substantial practical application value.
关键词
电动汽车/充电桩共享/智能推荐/Spring/Boot/MyBatis-Plus
Key words
electric vehicle/charging pile sharing/intelligent recommendation/Spring Boot/MyBatis-Plus
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