Prof. Aihua Yang Profile

Prof. Aihua Yang

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Proceedings Article | 5 July 2024 Paper

Design and research of electric vehicle DC charging pile monitoring system based on LabVIEW

Aihua Yang, Tianke Fang, Elcid Serrano, Yusen Chi, Fucai Liu, Zhenxiang Chen

Proceedings Volume 13184, 131844Y (2024) https://doi.org/10.1117/12.3033059

KEYWORDS: LabVIEW, Batteries, Design, Data modeling, Signal processing, Human-machine interfaces, Mathematical optimization, Data processing, Data acquisition, Computer simulations

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With the rise in environmental awareness and the promotion of new energy vehicle policies, the electric vehicle (EV) market is rapidly expanding. Direct current (DC) charging stations, as a crucial infrastructure for electric vehicle charging, have made the design and optimization of their monitoring systems especially important. This study aims to design and implement an efficient and reliable DC charging station monitoring system for electric vehicles using the LabVIEW platform. The system primarily achieves real-time data collection, signal processing, State of Charge (SoC) estimation, and user interface optimization. Through Geographic Information Systems (GIS) and big data analysis, this study also assesses the spatial distribution and accessibility of charging stations to promote the rational layout of charging infrastructure. Experimental results show that the developed monitoring system can effectively improve charging efficiency, reduce system response time, and enhance user experience. Moreover, system performance is further improved through optimization using genetic algorithms and simulated annealing algorithms. The research results provide technical support and practical guidance for the development of electric vehicle charging infrastructure, playing a significant role in promoting the sustainable development of the electric vehicle industry.

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