Publication Type : Conference Proceedings
Publisher : IEEE
Url : https://doi.org/10.1109/ic-ETITE58242.2024.10493677
Keywords : Adaptation models;Analytical models;Software packages;Microprocessors;Battery management systems;Estimation;Computer architecture;Battery;State of Charge;Coloumb Counting Technique;Battery Management System;Modular Architecture
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2024
Abstract : The global automotive industry is in the phase where Internal Combustion vehicles are in decline and witnessing a shift towards sustainable development. The major parameter of a successful EV is an efficient battery pack and the protection for it which is the Battery management system (BMS). In this work model-based approach in the design of a Modular Battery Management System (BMS) takes into account various protection schemes such as over and under-voltage scenarios adopted in Li-ion batteries and monitoring the State of Charge (SoC) using the Coulomb Counting technique. The design and the simulation-based approach are adopted to study the behaviour of Li-ion Battery and BMS in a wide operational condition where the testing is difficult using MATLAB/Simulink. The proposed technique is a Modular Battery Management System that works on the Master-Slave Architecture.
Cite this Research Publication : Srinath Kumar, Vishnu Ram Jawaharram, Balashivakumaran R, K.R.M. Vijaya Chandrakala, S. Sampath Kumar, Kannan Paulish Nadar, Scalable Modular Battery Management System Using Model-Based Approach for EV Applications, [source], IEEE, 2024, https://doi.org/10.1109/ic-ETITE58242.2024.10493677