Development of a LabVIEW-based battery management system for lithium-ion batteries

The increasing demand for safe, reliable, and efficient energy storage in electric vehicles, renewable energy systems, and portable electronics has amplified the importance of advanced battery management systems (BMS). However, many conventional BMS solutions, especially in entry-level or budget-sensitive designs, still rely on basic microcontroller units that lack flexibility in interfacing, advanced computation capabilities, and integration with high-level visualization or data-logging tools. Lithium-ion batteries, while providing high energy density and long cycle life, are highly sensitive to conditions such as overvoltage, overcurrent, and excessive temperature. Thus, without proper control, these factors can significantly affect battery lifespan. Therefore, an intelligent and cost-effective BMS was developed using the LabVIEW and NI myRIO platforms. This system monitors voltage, current, and temperature in real-time using the INA3221 and TMP102 sensors. Furthermore, the proposed system estimates the battery condition through a voltage-based method for State of Charge (SOC) and a capacity retention model for State of Health (SOH). A relay-based protection circuit is added to automatically disconnect the load or charging path when an abnormal condition is detected. Communication between NI myRIO and a host computer is established via TCP/IP, enabling real-time data logging, visualization, and control through a LabVIEW-based Graphical User Interface (GUI). The results show that the proposed system was successfully tested under controlled charge and discharge conditions, providing responsive protection, stable SOC and SOH monitoring, and proper hardware-software integration. This research presents a scalable and accessible BMS solution that is suitable for academic research and embedded energy applications.