Hybrid observer design for online battery state-of-charge estimation

2013 American Control Conference ◽

10.1109/acc.2013.6580128 ◽

2013 ◽

Author(s):

Jonathan R. LeSage ◽

Raul G. Longoria

Keyword(s):

Observer Design ◽

State Of Charge ◽

Battery State Of Charge ◽

State Of Charge Estimation

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LMI-Based Robust Observer Design for Battery State-of-Charge Estimation

2018 IEEE Conference on Decision and Control (CDC) ◽

10.1109/cdc.2018.8619763 ◽

2018 ◽

Author(s):

H.J. Dreef ◽

H.P.G.J. Beelen ◽

M.C.F. Donkers

Keyword(s):

Observer Design ◽

State Of Charge ◽

Robust Observer ◽

Battery State Of Charge ◽

State Of Charge Estimation

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Sliding Mode Observer Design for Battery State of Charge estimation

2020 5th International Conference on Renewable Energies for Developing Countries (REDEC) ◽

10.1109/redec49234.2020.9163592 ◽

2020 ◽

Author(s):

H. Bouchareb ◽

K. Saqli ◽

N.K. M'sirdi ◽

M. Oudghiri Bentaie ◽

A. Naamane

Keyword(s):

Sliding Mode ◽

Sliding Mode Observer ◽

Observer Design ◽

State Of Charge ◽

Battery State Of Charge ◽

State Of Charge Estimation

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Time scale-based observer design for battery state-of-charge estimation

Proceedings of the 2012 44th Southeastern Symposium on System Theory (SSST) ◽

10.1109/ssst.2012.6195130 ◽

2012 ◽

Author(s):

Ian Gravagne ◽

John M. Davis ◽

Dylan Poulsen

Keyword(s):

Observer Design ◽

State Of Charge ◽

Battery State Of Charge ◽

State Of Charge Estimation

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Fuzzy observer design for local model network based battery state of charge estimation

21st Mediterranean Conference on Control and Automation ◽

10.1109/med.2013.6608732 ◽

2013 ◽

Author(s):

Christoph Hametner ◽

Stefan Jakubek

Keyword(s):

Observer Design ◽

State Of Charge ◽

Local Model ◽

Fuzzy Observer ◽

Model Network ◽

Local Model Network ◽

Battery State Of Charge ◽

State Of Charge Estimation

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Model-based unscented Kalman filter observer design for lithium-ion battery state of charge estimation

International Journal of Energy Research ◽

10.1002/er.3954 ◽

2017 ◽

Vol 42 (4) ◽

pp. 1603-1614 ◽

Author(s):

Taipeng Wang ◽

Sizhong Chen ◽

Hongbin Ren ◽

Yuzhuang Zhao

Keyword(s):

Kalman Filter ◽

Lithium Ion Battery ◽

Unscented Kalman Filter ◽

Lithium Ion ◽

Observer Design ◽

State Of Charge ◽

Model Based ◽

Battery State Of Charge ◽

State Of Charge Estimation

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Battery State of Charge Estimation Using Adaptive Extended Kalman Filter for Electric Vehicle application

2020 IEEE 9th International Power Electronics and Motion Control Conference (IPEMC2020-ECCE Asia) ◽

10.1109/ipemc-ecceasia48364.2020.9367743 ◽

2020 ◽

Author(s):

Prashant Shrivastava ◽

Tey Kok Soon ◽

Mohd Yamani Idna Bin Idris ◽

Saad Mekhilef

Keyword(s):

Kalman Filter ◽

Electric Vehicle ◽

Extended Kalman Filter ◽

State Of Charge ◽

Battery State Of Charge ◽

Adaptive Extended Kalman Filter ◽

State Of Charge Estimation

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An Adaptive OCV-SOC Curve Selection Classifier for Battery State-of-Charge Estimation

10.1109/spies52282.2021.9633968 ◽

2021 ◽

Author(s):

Lingling Ju ◽

Guangchao Geng ◽

Quanyuan Jiang ◽

Yuzhong Gong ◽

Chuan Qin

Keyword(s):

State Of Charge ◽

Battery State Of Charge ◽

State Of Charge Estimation ◽

Curve Selection

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Lithium‐ion battery state‐of‐charge estimation of an order‐reduced physics‐based model in electric vehicles considering erroneous initialization

International Journal of Energy Research ◽

10.1002/er.7403 ◽

2021 ◽

Author(s):

Aihua Tang ◽

Lei Yao ◽

Peng Gong ◽

Yihan Jiang

Keyword(s):

Lithium Ion Battery ◽

Electric Vehicles ◽

Lithium Ion ◽

State Of Charge ◽

Battery State Of Charge ◽

State Of Charge Estimation

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Luenberger Observer for Lithium Battery State-of-Charge Estimation

Lecture Notes in Electrical Engineering - ELECTRIMACS 2019 ◽

10.1007/978-3-030-37161-6_49 ◽

2020 ◽

pp. 655-667

Author(s):

Stefano Barsali ◽

Massimo Ceraolo ◽

Jiajing Li ◽

Giovanni Lutzemberger ◽

Claudio Scarpelli

Keyword(s):

Lithium Battery ◽

State Of Charge ◽

Luenberger Observer ◽

Battery State Of Charge ◽

State Of Charge Estimation

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Lithium-ion battery state of charge estimation based on dynamic neural network and Kalman filter

2018 IEEE International Conference on Prognostics and Health Management (ICPHM) ◽

10.1109/icphm.2018.8448734 ◽

2018 ◽

Author(s):

Chen Kun ◽

Mao Zhiwei ◽

Lai Yuehua ◽

Jiang Zhinong ◽

Zhang Jinjie

Keyword(s):

Neural Network ◽

Kalman Filter ◽

Lithium Ion Battery ◽

Lithium Ion ◽

State Of Charge ◽

Dynamic Neural Network ◽

Battery State Of Charge ◽

State Of Charge Estimation

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