Publisher’s Note: Reduction of an Electrochemistry-Based Li-Ion Battery Model via Quasi-Linearization and Padé Approximation [J. Electrochem. Soc., 158, A93 (2011)]

Joel C. Forman; Saeid Bashash; Jeffrey L. Stein; Hosam K. Fathy

doi:10.1149/1.3549663

Publisher’s Note: Reduction of an Electrochemistry-Based Li-Ion Battery Model via Quasi-Linearization and Padé Approximation [J. Electrochem. Soc., 158, A93 (2011)]

Journal of The Electrochemical Society ◽

10.1149/1.3549663 ◽

2011 ◽

Vol 158 (4) ◽

pp. S10

Author(s):

Joel C. Forman ◽

Saeid Bashash ◽

Jeffrey L. Stein ◽

Hosam K. Fathy

Keyword(s):

Li Ion Battery ◽

Battery Model ◽

Li Ion

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Electrochemical Model-Based Condition Monitoring via Experimentally Identified Li-Ion Battery Model and HPPC

Energies ◽

10.3390/en10091266 ◽

2017 ◽

Vol 10 (9) ◽

pp. 1266 ◽

Cited By ~ 1

Author(s):

Md Rahman ◽

Sohel Anwar ◽

Afshin Izadian

Keyword(s):

Condition Monitoring ◽

Li Ion Battery ◽

Battery Model ◽

Model Based ◽

Li Ion ◽

Electrochemical Model

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State of charge estimation based on improved Li-ion battery model using extended Kalman filter

2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA) ◽

10.1109/iciea.2013.6566440 ◽

2013 ◽

Cited By ~ 1

Author(s):

Xiang Zhou ◽

Bingzhan Zhang ◽

Han Zhao ◽

Weixiang Shen ◽

Ajay Kapoor

Keyword(s):

Kalman Filter ◽

Extended Kalman Filter ◽

State Of Charge ◽

Li Ion Battery ◽

Battery Model ◽

Li Ion ◽

State Of Charge Estimation

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A GPU-accelerated parallel Jaya algorithm for efficiently estimating Li-ion battery model parameters

Applied Soft Computing ◽

10.1016/j.asoc.2017.12.041 ◽

2018 ◽

Vol 65 ◽

pp. 12-20 ◽

Cited By ~ 23

Author(s):

Long Wang ◽

Zijun Zhang ◽

Chao Huang ◽

Kwok Leung Tsui

Keyword(s):

Model Parameters ◽

Jaya Algorithm ◽

Li Ion Battery ◽

Battery Model ◽

Li Ion

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Bidirectional Contactless Charging System using Li-ion battery model

2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS) ◽

10.1109/iciinfs.2012.6304808 ◽

2012 ◽

Cited By ~ 5

Author(s):

T. P. Ezhil Reena Joy ◽

Kannan Thirugnanam ◽

Praveen Kumar

Keyword(s):

Li Ion Battery ◽

Charging System ◽

Battery Model ◽

Li Ion

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Hysteresis Compensation in State-of-Charge Estimation with a Nonlinear Double-Capacitor Li-Ion Battery Model

2021 American Control Conference (ACC) ◽

10.23919/acc50511.2021.9482791 ◽

2021 ◽

Author(s):

Hamidreza Movahedi ◽

Ning Tian ◽

Huazhen Fang ◽

Rajesh Rajamani

Keyword(s):

State Of Charge ◽

Li Ion Battery ◽

Hysteresis Compensation ◽

Battery Model ◽

Li Ion ◽

State Of Charge Estimation

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An advanced all-solid-state Li-ion battery model

Electrochimica Acta ◽

10.1016/j.electacta.2019.135147 ◽

2020 ◽

Vol 330 ◽

pp. 135147 ◽

Cited By ~ 1

Author(s):

L.H.J. Raijmakers ◽

D.L. Danilov ◽

R.-A. Eichel ◽

P.H.L. Notten

Keyword(s):

Solid State ◽

Li Ion Battery ◽

Battery Model ◽

Li Ion

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Development of improved Li-ion battery model incorporating thermal and rate factor effects

2009 IEEE Vehicle Power and Propulsion Conference ◽

10.1109/vppc.2009.5289800 ◽

2009 ◽

Cited By ~ 10

Author(s):

S. Bhide ◽

Taehyun Shim

Keyword(s):

Li Ion Battery ◽

Battery Model ◽

Li Ion

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Study of Parameters Identification Method of Li-Ion Battery Model for EV Power Profile Based on Transient Characteristics Data

IEEE Transactions on Intelligent Transportation Systems ◽

10.1109/tits.2020.3032447 ◽

2020 ◽

pp. 1-12

Author(s):

Bingxiang Sun ◽

Xitian He ◽

Weige Zhang ◽

Haijun Ruan ◽

Xiaojia Su ◽

...

Keyword(s):

Parameters Identification ◽

Li Ion Battery ◽

Transient Characteristics ◽

Battery Model ◽

Identification Method ◽

Power Profile ◽

Li Ion

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Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model

Energies ◽

10.3390/en6105538 ◽

2013 ◽

Vol 6 (10) ◽

pp. 5538-5551 ◽

Cited By ~ 28

Author(s):

Daehyun Kim ◽

Keunhwi Koo ◽

Jae Jeong ◽

Taedong Goh ◽

Sang Kim

Keyword(s):

Discrete Time ◽

Sliding Mode ◽

Second Order ◽

Sliding Mode Observer ◽

State Of Charge ◽

Dynamic Resistance ◽

Li Ion Battery ◽

Battery Model ◽

Li Ion ◽

Charge Determination

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A Separated-Frequency Parameters Identification Method of Li-Ion Battery Model for Electric Vehicles

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.672-674.727 ◽

2014 ◽

Vol 672-674 ◽

pp. 727-730 ◽

Cited By ~ 1

Author(s):

Da Zhong Mu ◽

Zhi Hong Dong ◽

Ming Fei Wang

Keyword(s):

Electric Vehicles ◽

Main Idea ◽

Open Circuit ◽

Current Data ◽

Model Parameters ◽

Wavelet Domain ◽

Li Ion Battery ◽

Battery Model ◽

Identification Method ◽

Li Ion

This paper proposed a separated-frequency identification method of Li-ion battery model for Electric Vehicles (EVs). The main idea is to decompose the measured terminal voltage and current data in wavelet domain, and then the weighting least squares (LS) algorithm is used to extract the model parameters. Since the signal energy of open circuit voltage (OCV) mainly distributes in the low frequency band, the identifiable wavelet-domain battery model can be approximately obtained by neglecting the high frequency wavelet decomposition coefficients. Furthermore, based on the Akaike’s information criterion, we study the optimum decomposition order of the wavelet-domain battery model.

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