Researchers Develop Novel Hybrid Active Balancing Approach for High-Performance Energy Storage Systems

Researchers at the Government College of Engineering have made a breakthrough in developing a novel hybrid active balancing approach for high-performance energy storage systems. This breakthrough has significant implications for the efficient management of energy in electric vehicles and renewable energy applications. The team has designed a system that combines the speed of switched capacitor balancing with the long-range capabilities of transformer-based balancing, using a quantum particle swarm optimization algorithm to optimize balancing strategies in real time.

Key Takeaways:

• A novel hybrid active balancing approach has been proposed to address the limitations of traditional active balancing techniques in high-performance energy storage systems.
• The hybrid system combines switched capacitor and transformer-based techniques, dynamically controlled by a quantum particle swarm optimization algorithm.
• The system enables efficient energy redistribution across large battery packs, reducing computational load while achieving faster convergence and energy efficiency.
• Simulations and experimental conditions have shown that the proposed system is more efficient than existing optimization techniques, including genetic algorithm, salp swarm algorithm, and gorilla troops optimization algorithm.
• The research has concluded that the hybrid active balancing approach is suitable for next-generation battery management systems in electric vehicles and renewable energy storage systems.
• The balancing efficiency has increased to 99.24 percent, with faster convergence of voltages and lesser energy losses.
• The proposed system is computationally feasible, efficient, and scalable, making it a promising solution for high-performance energy storage systems.

Statistics:

• Balancing efficiency of 99.24 percent has been achieved using the proposed hybrid active balancing approach.
• The convergence of voltages has been achieved in a fraction of the time compared to existing optimization techniques.
• Energy losses have been reduced by a significant margin using the proposed hybrid active balancing approach.
• The system has been tested using simulations and experimental conditions, showing its feasibility and scalability.

Sources:

• Real-time active cell balancing using QPSO-controlled switched capacitor and transformer methods. Journal of Electrical Systems and Information Technology, 2025,12(1):1-35.
• Journal of Electrical Systems and Information Technology (http://www.journals.elsevier.com/journal-of-electrical-systems-and-information).
• Government College of Engineering, Tirunelveli (https://www.gce.ac.in).
• S. Ida Evangeline, Department of Electrical and Electronics Engineering, Government College of Engineering, Tirunelveli (sidaev@gmail.com).
• B. Subashini (Additional author).