Publication: Development and optimization of capacitive based active cell balancing circuits for lithium-ion battery management systems in battery pack
Loading...
Date
2024-07
Authors
Teoh, Jin Khai
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
The increasing adoption of electric vehicles (EVs) necessitates the development of advanced battery management systems (BMS) to ensure optimal performance and longevity of lithium-ion (Li-ion) battery packs. A critical aspect of BMS is addressing cell imbalances that can reduce energy capacity, accelerate degradation, and compromise safety. This study investigates the effectiveness of capacitive-based active cell balancing techniques using MATLAB Simulink. These techniques involve redistributing charge among battery cells to maintain uniform state of charge (SoC) levels. The methodology includes simulation of various capacitive-based active balancing circuits and developing State-flow based algorithm controls to dynamically manage the charging and discharging of cells. These algorithms adjust charge distribution in real-time based on SoC differentials, promoting efficient energy usage and enhancing overall battery performance. Ideal conditions for switching devices are assumed to simplify the modelling and analysis, with the balancing process occurring without reliance on external power sources. Simulation results demonstrate that the proposed active balancing systems effectively mitigate cell imbalances, improve energy efficiency, and extend the longevity of battery life. The study underscores the importance of active cell balancing techniques in optimizing battery performance and longevity. By providing a detailed analysis of capacitive-based active cell balancing methods, this research contributes to the advancement of sustainable battery pack
technologies, highlighting the crucial role of efficient energy management in the widespread adoption of EVs.