Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method

标题
Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method
作者
关键词
-
出版物
JOURNAL OF POWER SOURCES
Volume 450, Issue -, Pages 227700
出版商
Elsevier BV
发表日期
2020-01-29
DOI
10.1016/j.jpowsour.2020.227700

向作者/读者发起求助以获取更多资源

Find Funding. Review Successful Grants.

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

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started