Model parameter estimation approach based on incremental analysis for lithium-ion batteries without using open circuit voltage-Reference-Cited by-同舟云学术

Model parameter estimation approach based on incremental analysis for lithium-ion batteries without using open circuit voltage

Published:2015-08 Issue: Volume:287 Page:108-118
ISSN:0378-7753
Container-title:Journal of Power Sources
language:en
Short-container-title:Journal of Power Sources

Author:

Wu Hongjie,Yuan Shifei^ORCID,Zhang Xi,Yin Chengliang,Ma Xuerui

Funder

National High Technology Research and Development Program of China

Specialized Research Fund for the Doctoral Program (SRFDP) of Higher Education

National Natural Science Foundation of China

U.S.–China Clean Energy Research Center Clean Vehicles Consortium (CERC-CVC)

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference32 articles.

1. Combined State of Charge and State of Health estimation over lithium-ion battery cell cycle lifespan for electric vehicles

2. State-of-charge and state-of-health estimation for lithium-ion batteries based on dynamic impedance technique

3. Online state-of-health estimation of lithium-ion batteries using Dynamic Bayesian Networks

4. Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter

5. Estimation of state-of-charge and state-of-power capability of lithium-ion battery considering varying health conditions

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