Estimation of State of Charge for Lithium-Ion EV Battery Packs Using Passive Cell Balancing

In order to advance the field of sustainable mobility, electric vehicles (EVs) need a battery, which is a key component. Lithium chemistry is presently regarded as the primary energy storage method for electric vehicles. Due to their high energy per mass compared to other electrical energy storage methods, lithium-ion batteries are currently employed in the majority of portable consumer gadgets, including cell phones and laptops. Li-ion battery pack is a combination of number of cells connected according to the purpose of application. Since the manufacturing chemistry of each cell is exactly not similar so, their state of charge and depth of discharge capacity differs from each other to some extent. So, a proper battery management system is necessary to protect the life of Li-ion battery and their proper diagnosis during their usable life span to give them. Prior to discussing the most fascinating modelling approaches for predicting battery performance, this study begins by outlining the stringent standards and requirements that apply to integrating battery management circuits and systems. Following that, a generic and flexible framework for implementing BMS is provided, together with the passive method for cell balancing and SOC estimation under MATLAB environment.