Explaining the core battery management system (BMS) technologies for state of charge estimation and degradation diagnosis from modeling to MATLAB implementation.
■Title
"Explanation of Remaining Capacity and Degradation Estimation Techniques for Optimal Management of Lithium-Ion Batteries
… Focusing on Operating Principles, Modeling, and Control Methods, with Perspectives by Battery Type and Application for EVs, HEVs, and PHEVs"
This seminar provides a systematic learning experience on optimal management techniques for lithium-ion batteries widely used in EVs, HEVs, and PHEVs, covering everything from the operating principles of batteries to modeling, remaining capacity estimation, and degradation diagnosis. It explains the construction of equivalent circuit models, high-precision remaining capacity estimation using Kalman filters, and degradation diagnosis methods using Recursive Least Squares (RLS), all based on an understanding of the fundamentals of Battery Management Systems (BMS). Additionally, it introduces simulation and implementation methods using MATLAB, as well as the latest trends in lifespan prediction technology. This content is ideal for engineers involved in battery development, BMS design, and EV-related technologies.