Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Particle filter-based state-of-charge estimation and remaining-dischargeable-time prediction method for lithium-ion batteries
Authors
Keywords
Lithium-ion batteries, State-of-charge, Remaining dischargeable time, Particle filter, Open circuit voltage
Journal
JOURNAL OF POWER SOURCES
Volume 414, Issue -, Pages 158-166
Publisher
Elsevier BV
Online
2019-01-09
DOI
10.1016/j.jpowsour.2019.01.012

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
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.