Design and Simulation of a Real-Time IoT-Based Monitoring System for Electric Vehicle Wireless Charging Using CAN and UDP Communication
Year: 2026
Type: conference-paper
Abstract: Advances in wireless power transfer (WPT) for electric vehicles, in terms of standardization and products, have had an impact on the technologies used for contactless communication between electric vehicles (EVs) and charging stations (EVSEs). Communication between electric vehicles and their charging stations is already well established via the power cable, i.e., a wired connection; the challenge, therefore, remains to improve this to also enable wireless connections (WLAN) for wireless charging. With this, the driver's involvement will be limited to assisted alignment of their vehicle with the charging system. With the rapid rise of electric vehicles (EVs) and wireless charging technologies, real-time monitoring of battery parameters has become essential to ensure safety and energy efficiency. This article presents the design and simulation of a real-time monitoring system based on a communication architecture that combines CAN, UDP, and IoT technologies. The system is simulated using MATLAB/Simulink on a platform that combines a charging station (EVSE) and an electric vehicle (EV), allowing for the creation of key battery parameters such as temperature, voltage, current, state of charge (SoC), and state of health (SoH). This data is encapsulated in CAN frames, which are then sent to a communication gateway to be converted into UDP streams.this data is then transmitted to a Node.js server, stored in a MongoDB database, and displayed on a web dashboard in real time. The resulting data demonstrates strong consistency throughout the communication process, as well as reliable transmission. This approach provides an adaptable solution for Internet of Things (IoT) applications and smart charging systems for EV.
Institution: Université Ibn-Tofail
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7204114658