Degradation Modeling and Remaining Useful Life Estimation of Llithium-Ion Battery for Aerospace Applications (应用于航空航天领域的锂离子电池的退化建模和剩余使用寿命估计)

Datong Liu
Dr. Datong Liu is an Associate Professor at the Department of Automatic Test and Control, School of Electrical Engineering and Automation, Harbin Institute of Technology (HIT), China. He received the B.Sc. and M.Sc. degrees in Department of Automatic Test and Control from Harbin Institute of Technology (HIT), Harbin, China, in 2003 and 2005, respectively. During 2001 and 2003, he also minored in t...read more



Details

This lecture mainly focuses on the degradation modeling and cycle life prediction for the lithium-ion batteries in aerospace applications. The degradation identification methods, fusion of the data-driven algorithm, and BMS development based on the Reconfigurable Computing (RC) with FPGA are involved. The approaches to realize degradation feature parameters identification, feature selection and feature extraction will be studied to obtain the degradation feature parameters with the monitoring parameters. Moreover, the on-line Machine Learning algorithm will be proposed to achieve on-line prediction with in-orbit monitoring data. Finally, for the limited computing resource in aerospace embedded platform, the hardware architecture, framework, computing units will be implemented with the reconfigurable computing (RC) technology based on the FPGA.

- Login to view the video -



Slideshow



Interested in Membership?

Take charge of your career and education. Join us today and get access to a wealth of webinars covering cutting edge topics important in reliability engineering today!

Find out more
Webinar Categories
Previous Webinars
  • Best Practices in Maintainability- Session 3: Fundamentals of Redundancy: Practical Applications and Limitations
    April 5, 2016
    View Webinar
  • Application of Prognostics and Health Management to Electronic Components by Dr. Diganta Das
    November 12, 2015
    View Webinar
Networking

Provide a global forum for networking among practitioners of reliability engineering, management and related topics,

Growth

Facilitate growth and development of division members,

Provide Resources

Promote reliability engineering principles and serve as a technical resource on reliability engineering for ASQ, standards agencies, industry, government, academia and related disciplines

Training

Sponsor, present and promote reliability, maintainability, and related training materials for courses, symposia, and conferences.

168