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Title: State of Charge Estimation for Lithium-Ion Batteries Based on Adaptive Dual Kalman Filter

Authors:
; ORCiD logo; ; ; ; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability (OE), Power Systems Engineering Research and Development (R&D) (OE-10)
OSTI Identifier:
1561354
Grant/Contract Number:  
2018YFB0106102
Resource Type:
Published Article
Journal Name:
Applied Mathematical Modelling
Additional Journal Information:
Journal Name: Applied Mathematical Modelling; Journal ID: ISSN 0307-904X
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Xu, Yidan, Hu, Minghui, Zhou, Anjian, Li, Yunxiao, Li, Shuxian, Fu, Chunyun, and Gong, Changchao. State of Charge Estimation for Lithium-Ion Batteries Based on Adaptive Dual Kalman Filter. United Kingdom: N. p., 2019. Web. doi:10.1016/j.apm.2019.09.011.
Xu, Yidan, Hu, Minghui, Zhou, Anjian, Li, Yunxiao, Li, Shuxian, Fu, Chunyun, & Gong, Changchao. State of Charge Estimation for Lithium-Ion Batteries Based on Adaptive Dual Kalman Filter. United Kingdom. doi:10.1016/j.apm.2019.09.011.
Xu, Yidan, Hu, Minghui, Zhou, Anjian, Li, Yunxiao, Li, Shuxian, Fu, Chunyun, and Gong, Changchao. Sun . "State of Charge Estimation for Lithium-Ion Batteries Based on Adaptive Dual Kalman Filter". United Kingdom. doi:10.1016/j.apm.2019.09.011.
@article{osti_1561354,
title = {State of Charge Estimation for Lithium-Ion Batteries Based on Adaptive Dual Kalman Filter},
author = {Xu, Yidan and Hu, Minghui and Zhou, Anjian and Li, Yunxiao and Li, Shuxian and Fu, Chunyun and Gong, Changchao},
abstractNote = {},
doi = {10.1016/j.apm.2019.09.011},
journal = {Applied Mathematical Modelling},
number = ,
volume = ,
place = {United Kingdom},
year = {2019},
month = {9}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.apm.2019.09.011

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