Lithium-Ion Battery Internal Resistance Model Based on the Porous Electrode Theory

2014 IEEE Vehicle Power and Propulsion Conference (VPPC) ◽

10.1109/vppc.2014.7007096 ◽

2014 ◽

Author(s):

Jing Yang ◽

Xuezhe Wei ◽

Haifeng Dai ◽

Jiangong Zhu ◽

Xudong Xu

Keyword(s):

Lithium Ion Battery ◽

Porous Electrode ◽

Lithium Ion ◽

Internal Resistance ◽

Model Based ◽

Resistance Model

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Estimation the internal resistance of lithium-ion-battery using a multi-factor dynamic internal resistance model with an error compensation strategy

Energy Reports ◽

10.1016/j.egyr.2021.05.027 ◽

2021 ◽

Vol 7 ◽

pp. 3050-3059

Author(s):

Lin Chen ◽

Mo Zhang ◽

Yunhui Ding ◽

Shuxiao Wu ◽

Yijing Li ◽

...

Keyword(s):

Lithium Ion Battery ◽

Error Compensation ◽

Lithium Ion ◽

Internal Resistance ◽

Compensation Strategy ◽

Resistance Model

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Simplification and order reduction of lithium-ion battery model based on porous-electrode theory

Journal of Power Sources ◽

10.1016/j.jpowsour.2011.09.034 ◽

2012 ◽

Vol 198 ◽

pp. 329-337 ◽

Author(s):

Thanh-Son Dao ◽

Chandrika P. Vyasarayani ◽

John McPhee

Keyword(s):

Lithium Ion Battery ◽

Porous Electrode ◽

Lithium Ion ◽

Order Reduction ◽

Battery Model ◽

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Model-based Health Diagnosis for Lithium-ion Battery Pack in Space Applications

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2020.3045745 ◽

2020 ◽

pp. 1-1

Author(s):

Yuchen Song ◽

Yu Peng ◽

Datong Liu

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

Battery Pack ◽

Space Applications ◽

Model Based ◽

Health Diagnosis

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Model-based sensor data fusion of quasi-redundant voltage and current measurements in a lithium-ion battery module

Journal of Power Sources ◽

10.1016/j.jpowsour.2019.227156 ◽

2019 ◽

Vol 440 ◽

pp. 227156 ◽

Author(s):

Dominik Schneider ◽

Ulrich Vögele ◽

Christian Endisch

Keyword(s):

Data Fusion ◽

Lithium Ion Battery ◽

Lithium Ion ◽

Sensor Data ◽

Sensor Data Fusion ◽

Model Based ◽

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A novel model-based state of charge estimation for lithium-ion battery using adaptive robust iterative cubature Kalman filter

Electric Power Systems Research ◽

10.1016/j.epsr.2019.105951 ◽

2019 ◽

Vol 177 ◽

pp. 105951 ◽

Author(s):

Zheng Liu ◽

Xuanju Dang ◽

Benqin Jing ◽

Jianbo Ji

Keyword(s):

Kalman Filter ◽

Lithium Ion Battery ◽

Lithium Ion ◽

State Of Charge ◽

Model Based ◽

Cubature Kalman Filter ◽

State Of Charge Estimation ◽

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Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer

Renewable and Sustainable Energy Reviews ◽

10.1016/j.rser.2020.109994 ◽

2020 ◽

Vol 131 ◽

pp. 109994 ◽

Author(s):

Li Sun ◽

Guanru Li ◽

Fengqi You

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

State Observer ◽

Internal Resistance ◽

State Of Charge ◽

Extended State Observer ◽

Extended State ◽

State Of Charge Estimation

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Model based insulation fault diagnosis for lithium-ion battery pack in electric vehicles

Measurement ◽

10.1016/j.measurement.2018.09.007 ◽

2019 ◽

Vol 131 ◽

pp. 443-451 ◽

Author(s):

Yujie Wang ◽

Jiaqiang Tian ◽

Zonghai Chen ◽

Xingtao Liu

Keyword(s):

Fault Diagnosis ◽

Lithium Ion Battery ◽

Electric Vehicles ◽

Lithium Ion ◽

Battery Pack ◽

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Basic study of model based development of lithium-ion battery using Co-simulation of vehicle system model and electrochemical cell model

The Proceedings of Mechanical Engineering Congress Japan ◽

10.1299/jsmemecj.2020.j12102 ◽

2020 ◽

Vol 2020 (0) ◽

pp. J12102

Author(s):

Ena ISHII ◽

Ryosuke YAGI ◽

Takamitsu SUNAOSHI ◽

Norihiro YOSHINAGA

Keyword(s):

Lithium Ion Battery ◽

Electrochemical Cell ◽

Lithium Ion ◽

System Model ◽

Basic Study ◽

Model Based ◽

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Aging Estimation of Lithium-ion Battery Cell using an Electrochemical Model-Based Extended Kalman Filter

AIAA Scitech 2019 Forum ◽

10.2514/6.2019-0785 ◽

2019 ◽

Author(s):

Meng Huang ◽

Mrinal Kumar ◽

Chao Yang ◽

Alexander Soderlund

Keyword(s):

Kalman Filter ◽

Lithium Ion Battery ◽

Extended Kalman Filter ◽

Lithium Ion ◽

Battery Cell ◽

Model Based ◽

Electrochemical Model

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A New Model-Based Lithium-Ion Battery Online Monitoring Structure

2019 Prognostics and System Health Management Conference (PHM-Paris) ◽

10.1109/phm-paris.2019.00012 ◽

2019 ◽

Author(s):

Jianwen Meng ◽

Moussa Boukhnifer ◽

Demba Diallo

Keyword(s):

Lithium Ion Battery ◽

Online Monitoring ◽

Lithium Ion ◽

New Model ◽

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