Upcoming Webinar on Lithium-Ion Battery Optimization
On
July 23, 2025, CMC Research will host a live webinar titled
"Explaining Techniques for Optimizing Lithium-Ion Battery Management: Insights on State-of-Charge and Degradation Estimation Methods". The session will start at
10:30 AM and continue until
4:30 PM, featuring
Masahiro Fukui, a distinguished professor from Ritsumeikan University.
With the innovation in storage technology, lithium-ion batteries have become essential in various applications, including Electric Vehicles (EVs), Hybrid Electric Vehicles (HEVs), and Plug-in Hybrid Electric Vehicles (PHEVs). However, effective management of these batteries poses challenges due to their temperature and degradation characteristics. Join this seminar to gain a comprehensive understanding of the basic properties of lithium-ion batteries and learn effective methods for estimating battery charge and degradation.
Key Knowledge Participants Will Acquire:
- - Fundamental characteristics of lithium-ion batteries
- - Modeling techniques for behavior prediction
- - Basic structure of Battery Management Systems (BMS) and critical considerations
- - Proven methods for accurate state-of-charge and degradation forecasting
Who Should Attend?
This webinar targets a range of participants:
- - Beginners eager to understand lithium-ion battery technology
- - Junior engineers looking to advance their expertise in battery management systems
Webinar Agenda:
1.
Introduction
- Overview of battery technologies and trends
- Operating principles of lithium-ion batteries
- Transition to all-solid-state and innovative battery systems
2.
Battery Modeling
- Electrical characteristics of batteries, represented by equivalent circuit models
- Deriving equivalent circuit parameters through Nyquist plots
- Temperature compensation for circuit parameters
3.
High-Precision State-of-Charge Estimation
- Utilizing Kalman filters for accurate state-of-charge estimation
- Adapting to battery type variations (new vs. used, different cathode materials)
4.
Degradation Modeling and Diagnostic Techniques
- Exploring degradation phenomena and its modeling
- Applying Recursive Least Squares (RLS) for degradation diagnosis
5.
Latest Technologies in Degradation Diagnosis and Life Prediction
- Integrated degradation diagnostic technology
- Lifecycle prediction through deep learning approaches
- Differences in control perspectives based on use cases (e.g., EVs and hybrid applications)
This seminar will be streamed live via
Zoom, and participants will receive a viewing link via email after registration. Please make sure to check your setup to comply with the recommended technical environment for optimal viewing.
Registration Details:
Interested participants can register through CMC Research's official site. The participation fee is
55,000 yen (tax included). For CMC newsletter subscribers, the fee is reduced to
49,500 yen, while academic attendees can join for
26,400 yen (including materials).
Speaker Profile:
Masahiro Fukui, a Professor in the Department of Electronic Information Engineering at Ritsumeikan University, will lead the session. With extensive research background and publications on smart grids and low-power designs, Professor Fukui's expertise will illuminate various facets of battery management systems. Participants can expect to learn not only theoretical foundations but also practical insights into the cutting-edge technologies shaping today’s battery management landscape.
For additional details and registration, please visit
CMC Research's website. This is an excellent opportunity to enhance your understanding and skills in the evolving field of energy storage technology.