Building and Exploring an EV Charging Knowledge Graph for Management Analysis
Houzhi Li, Yu Gao, Jinyu Wang, Wen Wang, Yifeng Shao, Xizong Zhang, Jingyuan Wang, Ningxin Chen, Zhichun Wang · 2024
The increasing adoption of electric vehicles (EVs) has brought about significant challenges in managing the associated charging infrastructure. This paper presents a novel methodology for constructing a knowledge graph tailored to the EV charging ecosystem, integrating multi-source data to enhance decision-making and optimize charging operations. By leveraging the structured and interconnected nature of knowledge graphs, this work addresses critical issues such as data interoperability, scalability, and quality maintenance in the dynamic landscape of EV charging. The proposed knowledge graph framework enables advanced analysis of user behavior, efficient management of charging stations, and improved energy distribution strategies. Deployed on Ontotext GraphDB, the EV charging knowledge graph is demonstrated through real-world usage scenarios, showcasing its potential to significantly impact the operational efficiency and sustainability of EV charging networks.