Active Cell Balancing

In modern energy storage systems, effective battery management systems (BMS) are essential for optimizing battery performance and longevity. This paper addresses the challenges of manual monitoring of active cell balancing by developing a SOC estimator integrating microcontrollers, sensors, and control algorithms for cell balancing. The system autonomously monitors key parameters such as voltage, temperature, and state of charge (SOC), ensuring safe and efficient operation. It regulates charging and discharging processes, mitigating risks like overcharging, over-discharging, and thermal runaway. The primary goal is to enhance battery performance, longevity, safety, and reliability while minimizing human intervention. By automating monitoring and management, the proposed cell balancing reduces operational complexity and improves efficiency. Its cost-effective hardware and user-friendly interface ensure accessibility and scalability for diverse energy storage applications. This innovative approach streamlines energy management, making it a reliable and practical solution for modern battery systems.