Online state of charge estimation of Li-ion battery based on an improved unscented Kalman filter approach

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Online state of charge estimation of Li-ion battery based on an improved unscented Kalman filter approach
Authors
Keywords
Li-ion battery, State of charge estimation, Unscented Kalman filter, Model adaptive, Noise adaptive
Journal
APPLIED MATHEMATICAL MODELLING
Volume 70, Issue -, Pages 532-544
Publisher
Elsevier BV
Online
2019-01-25
DOI
10.1016/j.apm.2019.01.031

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.