PDF version "Revised: Ensuring the Safety of Lithium-Ion Batteries 2026"

■Title: "Explanation of Remaining Capacity and Degradation Estimation Techniques for Optimal Management of Lithium-Ion Batteries" ――Focusing on operating principles, modeling, and control methods, this seminar explains battery management technologies for EVs, HEVs, PHEVs, etc., from the perspectives of different battery types and applications. It covers everything from remaining capacity estimation and degradation diagnosis necessary for BMS to lifespan prediction. 【Knowledge Gained from the Seminar】 - Basic characteristics and operating principles of lithium-ion batteries - Electrical characteristics of batteries and equivalent circuit models - Extraction of equivalent circuit models from Nyquist plots - Battery simulation using MATLAB - High-precision remaining capacity estimation using Kalman filters - Degradation phenomena of batteries and modeling - Degradation diagnosis using Recursive Least Squares (RLS) - Latest technologies related to degradation diagnosis and lifespan prediction 【Target Audience for the Seminar】 - Beginners and young engineers who want to learn about battery technology - Engineers involved in BMS and battery simulation - Those interested in remaining capacity estimation, degradation diagnosis, and lifespan prediction technologies

■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 battery operating principles to modeling, remaining capacity estimation, and degradation diagnosis. It will explain 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, the latest trends in simulation and implementation methods using MATLAB, as well as lifespan prediction technologies, will be introduced. This content is ideal for engineers involved in battery development, BMS design, and EV-related technologies. ■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 subscribers (registration is free): 49,500 yen (tax included) Delivery Format: Live streaming via Zoom

■Title 2nd Session: Manufacturing Technology of Lithium-Ion Batteries - Application Edition (NCM Cathode and Graphite/Silicon Anode) This course is a 4-night, 5-day residential practical training program utilizing a large battery prototype factory in Tsuyama City, Okayama Prefecture. Aimed at individuals with laboratory-level research and development experience, participants will practically acquire manufacturing technology for lithium-ion batteries at the factory level. Participants will experience a series of manufacturing processes, including the preparation of cathode and anode slurries using a planetary mixer, optimization of coating and drying conditions, electrode pressing, slitting, stacking, terminal welding, cell assembly, electrolyte injection, and initial charging. Due to the small class size (limited to 6 participants), attendees will receive direct instruction from experienced instructors and systematically learn the entire battery manufacturing process. ■Event Details Date: August 31, 2026 (Monday) to September 4, 2026 (Friday) (4-night, 5-day course) Capacity: 6 participants (minimum number for the course to proceed is 4) *Includes transportation costs from Tsuyama Station, lunch costs for 5 days, and networking event fees *Accommodation costs are separate Instructors: Junichi Ogawa (Former Sony) Takashi Mukai (ATTACCATO LLC) Yoshiteru Kawabe (Former GS Yuasa) Tetsuo Sakai (CTO, STL JAPAN) Hiroichi Ninomiya (Senior Researcher, STL JAPAN)

■ 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" ―― Solving the challenges of battery life prediction and remaining capacity estimation! A lithium-ion battery technology seminar directly linked to practical applications, including BMS design and MATLAB implementation. ■ Date and Time: May 28, 2026 (Thursday) 10:30 AM - 4:30 PM ■ Zoom Delivery (with materials) 【Knowledge Gained from the Seminar】 Basic characteristics of lithium-ion batteries, modeling methods, basic structure of BMS and points to consider, fundamental methods for effective remaining capacity and degradation prediction. 【Target Audience for the Seminar】 Beginners, young engineers.