Research and Design of Vehicle Charging Service Network Based on Information Granularity Analysis

WU Jiantao; CHEN Yanchun; SUN Li; WANG Xiaotong; LI Jiamin; ZHANG Huikang; LI Jingwei

doi:10.19554/j.cnki.1001-3563.2026.06.004

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (6) : 31-41. DOI: 10.19554/j.cnki.1001-3563.2026.06.004

Industrial Design

Research and Design of Vehicle Charging Service Network Based on Information Granularity Analysis

WU Jiantao, CHEN Yanchun^*, SUN Li, WANG Xiaotong, LI Jiamin, ZHANG Huikang, LI Jingwei

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Abstract

Aiming to address the deficiencies in user experience research within the electric vehicle charging service domain, the work aims to examine user semantic evaluations of charging services by information granularity analysis, derive a user semantic preference model, and thereby enhance the design of the charging service network. Firstly, the collected evaluation data of users on new energy vehicle charging services were divided and processed. Secondly, information granularity analysis was conducted based on cosine similarity and hierarchical clustering. The influence degree of the information granularity layer was determined through linear regression to construct a granulation document and behavior model of the vehicle charging service network. By analyzing and comparing with the K-means clustering results, the clustering feature parameters were transformed into user need features and integrated to output the diagram of a vehicle charging service network. The research results showed that through information granularity analysis, text information could be transformed into quantifiable data, semantic granulation documents could be constructed, and the design of a user led new energy vehicle charging service network could be completed. The study explores the application value of information granularity analysis methods in design, starting from semantics to analyze user needs, using semantic granulation documents to better integrate different levels of information granularity needs into various subject and scenario designs, and better serve the construction and improvement of product service network systems.

Key words

semantic information / information granulation / vehicle charging service network / user experience / clustering analysis

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WU Jiantao, CHEN Yanchun, SUN Li, WANG Xiaotong, LI Jiamin, ZHANG Huikang, LI Jingwei. Research and Design of Vehicle Charging Service Network Based on Information Granularity Analysis[J]. Packaging Engineering. 2026, 47(6): 31-41 https://doi.org/10.19554/j.cnki.1001-3563.2026.06.004

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