Design and Implementation of a Real-Time Health Monitoring System for Lithium-Ion Batteries
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Abstract
This paper presents the design and implementation of a real-time health monitoring system specifically focused on the safety and performance of Li-ion batteries. The system accurately monitors key parameters such as the State of Charge (SOC) and temperature, which are critical for ensuring safety during charging and discharging operations. The monitoring system utilizes a resource-efficient IoT microcontroller, the STM32, making it suitable for applications with constrained processing and power capabilities. The current integrating method, also known as Coulomb counting, is employed to track the SOC. This method effectively measures the descent or growth of SOC based on the energy transfer to or from the battery. Furthermore, the paper details the methodology for processing sensor data, including voltage, current, and temperature readings, by leveraging the MATLAB-SIMULINK toolbox for accurate analysis and visualization. The experimental results, discussed in detail in the results section, demonstrate promising outcomes, confirming the effectiveness and reliability of the proposed system. This real-time monitoring approach enhances battery safety and also contributes to the development of more efficient battery management systems for future applications.
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