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.
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■Seminar 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 based on battery type and application for EVs, HEVs, and PHEVs ■Event Details Date and Time: July 22, 2026 (Wednesday) 10:30 AM – 4:30 PM Instructor: Masahiro Fukui (Professor, Department of Electronic Information Engineering, Ritsumeikan University) Participation Fee: 55,000 yen (tax included) *Price for our newsletter members (registration free): 49,500 yen (tax included) Delivery Format: Live streaming via Zoom ■Main Content - Operating principles of lithium-ion batteries - Modeling of storage batteries and equivalent circuits - Model extraction using Nyquist diagrams - Battery simulation using MATLAB - Remaining capacity estimation using Kalman filters - Degradation diagnosis using Recursive Least Squares (RLS) - Latest trends in lifespan prediction technology - BMS technology for EVs, HEVs, and PHEVs
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Tuition fee: 55,000 yen (tax included) *Includes materials *Price for our newsletter members (registration is free): 49,500 yen (tax included) 【Newsletter Member Benefits】 If two or more people apply at the same time and all applicants are registered newsletter members, the participation fee per person will be half of the newsletter member price.
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- BMS (Battery Management System) design - Battery development for EVs, HEVs, and PHEVs - Acquisition of lithium-ion battery state of charge estimation technology - Battery degradation diagnosis and lifespan prediction - Acquisition of energy storage simulation technology - Development of energy management systems *For program details and application methods, please check the related link URL.
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We provide the latest industrial insights to our clients. By conducting market trend analysis, publishing technology‑related books and research reports, and organizing and managing seminars, we support research and development across a wide range of industries, with a primary focus on manufacturing. Our coverage spans diverse fields such as energy, batteries, chemicals, and biotechnology.
