An explanation from the basics of BMS to remaining capacity and degradation estimation. Learn about modeling with MATLAB and its application to EVs, HEVs, and PHEVs.
■Title "Explanation of Remaining Capacity and Degradation Estimation Techniques for Optimal Management of Lithium-Ion Batteries: Focusing on Operating Principles, Modeling, and Control Methods from the Perspectives of Different Batteries and Applications in EVs, HEVs, and PHEVs" High performance and long lifespan of lithium-ion batteries require accurate estimation of remaining capacity (SOC) and degradation state (SOH). This seminar will systematically explain the operating principles of lithium-ion batteries, modeling using equivalent circuit models, the basic structure of Battery Management Systems (BMS), remaining capacity estimation using Kalman filters, and degradation diagnosis using Recursive Least Squares (RLS). Additionally, simulation methods using MATLAB, application examples in EVs, HEVs, and PHEVs, and the latest lifespan prediction technologies will also be introduced. 【Knowledge Gained from the Seminar】 - Basic characteristics of lithium-ion batteries - Fundamentals of battery modeling and BMS - SOC and SOH estimation techniques - Degradation diagnosis and lifespan prediction methods 【Target Audience】 Beginners, young engineers, and those involved in research, development, and design related to batteries, EVs, and energy management.
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■Event Details Date and Time: July 22, 2026 (Wednesday) 10:30 AM - 4:30 PM Participation Fee: 55,000 yen (tax included) (Includes materials) Newsletter Member Price: 49,500 yen (tax included) Instructor: Masahiro Fukui, Professor, Department of Electronic Information Engineering, Ritsumeikan University Delivery Method: Live streaming via Zoom 【Main Lecture Topics】 - Operating principles of lithium-ion batteries - Modeling using equivalent circuit models - Battery simulation using MATLAB - State of charge estimation using Kalman filter - Degradation diagnosis using RLS - Lifetime prediction and latest BMS technology
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Tuition fee: 55,000 yen (tax included) *Includes materials *Our company 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 register as newsletter members, the participation fee per person will be half of the newsletter member price.
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For details about the program and how to apply, please check the related link URL. You can utilize it for the development of BMS (Battery Management Systems) in electric vehicles including EVs, HEVs, and PHEVs, stationary storage batteries, renewable energy storage systems, as well as for battery remaining capacity and degradation diagnosis, lifespan prediction, battery modeling, and simulation technology research, development, and design work.
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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.
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