Webinar: Lithium-ion Battery Optimal Management - SOC & Degradation Estimation Techniques
Key facts
- Webinar: Lithium-ion Battery Optimal Management - SOC & Degradation Estimation Techniques
- CMC Research to host an online seminar on July 22, 2026, featuring Professor Masahiro Fukui of Ritsumeikan University, focusing on battery management technology.
- Source: PR Times
- Date: June 12, 2026
Direct answer
CMC Research to host an online seminar on July 22, 2026, featuring Professor Masahiro Fukui of Ritsumeikan University, focusing on battery management technology.
- Citation
- Webinar: Lithium-ion Battery Optimal Management - SOC & Degradation Estimation Techniques (June 12, 2026), PR Times
- Source
- PR Times
- Date
- June 12, 2026
CMC Research to host an online seminar on July 22, 2026, featuring Professor Masahiro Fukui of Ritsumeikan University, focusing on battery management technology.
📋 Article Processing Timeline
- 📰 Published: June 12, 2026 at 18:00
- 🔍 Collected: June 12, 2026 at 09:21
- 🤖 AI Analyzed: June 12, 2026 at 10:21 (1h 0m after Collected)
CMC Research is hosting a live-stream seminar on July 22, 2026, titled "Optimal Management of Lithium-ion Batteries: SOC and Degradation Estimation Techniques." Professor Masahiro Fukui from the Faculty of Science and Engineering at Ritsumeikan University will serve as the instructor, providing a systematic overview of Battery Management System (BMS) technologies essential for EV and HEV applications.
The seminar will cover topics ranging from battery modeling methods to State of Charge (SOC) estimation using Kalman filters and degradation diagnosis using Recursive Least Squares (RLS). Practical implementation using MATLAB and the latest techniques in lifespan prediction will also be discussed.
Participation fees are 55,000 JPY (standard), 49,500 JPY (newsletter members), and 26,400 JPY (academic), all inclusive of tax and seminar materials. Registration is available on the CMC Research official website.
The seminar will cover topics ranging from battery modeling methods to State of Charge (SOC) estimation using Kalman filters and degradation diagnosis using Recursive Least Squares (RLS). Practical implementation using MATLAB and the latest techniques in lifespan prediction will also be discussed.
Participation fees are 55,000 JPY (standard), 49,500 JPY (newsletter members), and 26,400 JPY (academic), all inclusive of tax and seminar materials. Registration is available on the CMC Research official website.
FAQ
Who is this seminar for?
It is designed for beginners and young engineers in battery technology.
What is the seminar format?
It will be conducted as a live stream seminar using Zoom.
Are seminar materials included?
Yes, seminar materials are included in the tuition fee.