Customer Segmentation Algorithm Based on Data Mining for Electric Vehicles

Abstract

Customer segmentation is of great significance for charge service operators to obtain the features of charging behaviors and individual differences between various Electric Vehicle (EV) users. Based on large numbers of charging service data fast accumulated by Operations Management System, exploratory data analysis was applied to all the historical data in the database. Firstly the paper screened out key variables to the segmentation model, and then presented the EV customer segmentation method by data mining technique and k-means algorithm. Secondly the customer value evaluation method was proposed, and charging behavioral features and customer values were analyzed. At last, conclusions and suggestions are given, which would provide data supports to the improvement of operation and maintenance management and decision-making of the precision marketing.

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