STM32-based Real-time Monitoring and Management of Smart Charging Stations Under IoT Architecture

AUTO ELECTRIC PARTS ›› 2025, Vol. 1 ›› Issue (12) : 45-47.

New Energy

Yang Tiantian, He Liu, Liu Yuhan, Cui Yaodan, Li Fayong

Author information +

History +

Abstract

As electric vehicles rapidly develop, the safety and operational monitoring of charging stations have become pressing issues requiring urgent solutions. This article designs and implements an STM32-based intelligent charging station monitoring system. Adopting a three-layer IoT architecture, including an embedded lower-level machine, multi-sensor modules, wireless communication modules, and a mobile app upper-level machine, the system enables realtime data acquisition, anomaly handling, and closed-loop control for temperature, smoke, carbon monoxide, voltage/current, and vehicle traffic. System software, developed in C language, employs threshold logic for automatic control of fans, relays, and billing functions. The Wi-Fi module enables bidirectional communication between the lower-level device and the mobile app. Measurement results demonstrate the system's stability in monitoring multi-channel data, timely response to anomalies, and accurate execution of identity verification and billing. This ensures safe, intelligent, and efficient charging processes, providing a reliable technological foundation for remote monitoring and smart management.

Key words

charging station / STM32 / smart monitoring / Wi-Fi

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Yang Tiantian, He Liu, Liu Yuhan, Cui Yaodan, Li Fayong. STM32-based Real-time Monitoring and Management of Smart Charging Stations Under IoT Architecture[J]. AUTO ELECTRIC PARTS. 2025, 1(12): 45-47