Hybrid state of charge estimation for lithium-ion battery under dynamic operating conditions-Reference-Cited by-同舟云学术

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Hybrid state of charge estimation for lithium-ion battery under dynamic operating conditions

Published:2019-09 Issue: Volume:110 Page:48-61
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Liu Datong,Li Lyu,Song Yuchen^ORCID,Wu Lifeng,Peng Yu

Funder

National Natural Science Foundation of China

Key Project B Class of Beijing Natural Science Foundation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference40 articles.

1. Satellite lithium-ion battery remaining useful life estimation with an iterative updated RVM fused with the KF algorithm;Song;Chin J Aeronaut,2018

2. Battery state estimation with a self-evolving electrochemical ageing model;Zhang;Int J Electr Power Energy Syst,2017

3. On-line life cycle health assessment for lithium-ion battery in electric vehicles;Liu;J Cleaner Prod,2018

4. Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental;Liu;Measurement,2015

5. Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model;Wang;J Power Sour,2013

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