ACTIVE CELL BALANCING APPROACH FOR EFFICIENT BATTERY MANAGEMENT SYSTEM
Date
2023-06
Journal Title
Journal ISSN
Volume Title
Publisher
I.O.E. Pulchowk Campus
Abstract
This project proposes a novel approach for improving the efficiency of battery management
systems through active cell balancing using the Kalman filter algorithm and build a hardware
prototype model for testing and validation of the results. The goal of this project is to develop a
system that can extend the lifespan of batteries by ensuring that each cell is charged and discharged
evenly.
The proposed system includes an active balancing circuit that uses the Kalman filter algorithm to
estimate the state of each battery cell and determine the optimal charging and discharging currents.
This approach is designed to reduce the energy loss associated with passive balancing circuits,
which can be a significant source of inefficiency in battery management systems.
The project includes simulation studies using MATLAB and Simulink and experimental results to
demonstrate the effectiveness of the proposed system. The simulation studies will be conducted to
optimize the design of active balancing circuit and Kalman filter. The experimental results confirm
the effectiveness of the Kalman filter algorithm in estimating the state of each battery cell and
optimizing the charging and discharging currents. The experimental studies will involve testing
hardware prototype model using actual battery cells and the developed active balancing system.
Description
The scope of the project also includes identifying the limitations and challenges associated with
the proposed system and developing the strategies to address them. The project will investigate
potential applications of the developed system in various battery management scnenarios such as
electric vehicles, renewable energy system and portable electronic devices
Keywords
MATLAB,, Kalman filter algorithm,, ACTIVE CELL