ACTIVE CELL BALANCING CONTROL ALGORITHM FOR ELECTRIC VEHICLES

Abstract

This thesis focuses on the critical aspects of electric vehicle (EV) energy storage systems, specifically the development of a comprehensive battery pack and an innovative active cell balancing control algorithm. The increasing prominence of EVs in the automotive industry necessitates advancements in battery technology to enhance performance, longevity, and overall reliability.

of this re The first phase of this research reviews the current literature on Active Cell Balancing and identifies key areas where further research is needed. Since existing literature and research have extensively covered both passive and active balancing, focusing on the aspect of improved energy efficiency and minimal cell degradation, finding literature was not challenging. However, existing measures for achieving the perfect balance control in a variety of operational conditions and increased real-time performance were of concern.

The second phase addresses the inherent challenges of cell imbalances within battery packs, which can lead to reduced efficiency and premature degradation. To mitigate these issues, an advanced active cell balancing control algorithm is proposed. This algorithm optimally redistributes energy among individual cells during charging and discharging cycles, ensuring uniform cell voltages and maximizing the overall performance and lifespan of the battery pack of Electric Vehicles.

Simulation results demonstrate the effectiveness of the developed battery pack model and the proposed active cell balancing control algorithm in enhancing the operational efficiency and reliability of electric vehicles. Real-world experiments validate the practical applicability of the proposed model and algorithm in diverse driving scenarios.

This research contributes to the ongoing evolution of electric vehicle technology by providing a robust foundation for the design and optimization of battery management systems. The developed model and control algorithm offer valuable insights for engineers, researchers, and Industry stakeholders working towards the advancement of sustainable and efficient electric transport.