• Arundhati R. Patil
• Prof.Dr.D.M.Sonje

Passive cell balancing is an important technique for managing the state of charge (SOC) of individual cells in a battery pack. In passive cell balancing, the energy from the cells with higher SOC is transferred to the cells with lower SOC, without the need for an external energy source or active control. This technique helps to equalize the SOC of cells, which prolongs the battery's overall lifespan and enhances its efficiency. MATLAB is a powerful software tool for simulating and analysing passive cell balancing algorithms. MATLAB provides a user-friendly environment for modelling, simulating, and testing various balancing techniques. In this abstract, we present a brief overview of passive cell balancing using MATLAB. Passive cell balancing typically involves the use of balancing resistors that shunt the excess charge from cells with higher SOC to cells with lower SOC. To determine the appropriate values of the balancing resistors, the voltage and SOC of each cell must be monitored continuously. MATLAB provides a variety of tools for measuring and analysing battery cell data, including voltage sensors, current sensors, and SOC estimators. To simulate passive cell balancing, we are using MATLAB's Simulink environment to model the battery pack and the balancing resistors. The Simulink model is configured to include the battery cells, the balancing resistors, and the measurement sensors. The Simulink model also included simple threshold-based algorithm for balancing the cells. Once the Simulink model is configured, we can simulate the passive cell balancing algorithm under different operating conditions. MATLAB allows us to change various parameters of the battery pack, such as the number of cells, the capacity of each cell, and the load current. By varying these parameters, we can evaluate the performance of the balancing algorithm under different conditions. passive cell balancing using MATLAB is an effective way to manage the state of charge of battery cells. MATLAB provides a comprehensive set of tools for modelling, simulating, and testing passive cell balancing algorithms. By using MATLAB, we can evaluate the performance of different balancing algorithms under a range of operating conditions, which can help to optimize the design of battery packs for various applications.

passive cell balancing, MATLAB, battery pack, state of charge, balancing resistors, voltage sensors, SOC estimators, Simulink.

"Battery Management System by Passive Cell Balancing for Electric vehicle", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.l326-l330, May-2023, Available :http://www.jetir.org/papers/JETIR2305B49.pdf

"Battery Management System by Passive Cell Balancing for Electric vehicle", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppl326-l330, May-2023, Available at : http://www.jetir.org/papers/JETIR2305B49.pdf