Model‐Based Uncertainty Quantification for the Product Properties of Lithium‐Ion Batteries

Energy Technology ◽

10.1002/ente.201900201 ◽

2019 ◽

Vol 8 (2) ◽

pp. 1900201 ◽

Author(s):

Vincent Laue ◽

Oke Schmidt ◽

Henning Dreger ◽

Xiangzhong Xie ◽

Fridolin Röder ◽

...

Keyword(s):

Uncertainty Quantification ◽

Lithium Ion Batteries ◽

Lithium Ion ◽

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Model-based thermal anomaly detection for lithium-ion batteries using multiple-model residual generation

Journal of Energy Storage ◽

10.1016/j.est.2021.102740 ◽

2021 ◽

Vol 40 ◽

pp. 102740

Author(s):

Guangzhong Dong ◽

Mingqiang Lin

Keyword(s):

Anomaly Detection ◽

Lithium Ion Batteries ◽

Lithium Ion ◽

Thermal Anomaly ◽

Multiple Model ◽

Model Based ◽

Residual Generation

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A modified model based state of charge estimation of power lithium-ion batteries using unscented Kalman filter

Journal of Power Sources ◽

10.1016/j.jpowsour.2014.07.143 ◽

2014 ◽

Vol 270 ◽

pp. 619-626 ◽

Author(s):

Yong Tian ◽

Bizhong Xia ◽

Wei Sun ◽

Zhihui Xu ◽

Weiwei Zheng

Keyword(s):

Kalman Filter ◽

Lithium Ion Batteries ◽

Unscented Kalman Filter ◽

Lithium Ion ◽

State Of Charge ◽

Modified Model ◽

Model Based ◽

State Of Charge Estimation

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Prognostics of lithium-ion batteries using model-based and data-driven methods

Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing) ◽

10.1109/phm.2012.6228850 ◽

2012 ◽

Author(s):

Chaochao Chen ◽

Michael Pecht

Keyword(s):

Lithium Ion Batteries ◽

Lithium Ion ◽

Data Driven ◽

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Unlocking electrochemical model-based online power prediction for lithium-ion batteries via Gaussian process regression

Applied Energy ◽

10.1016/j.apenergy.2021.118114 ◽

2022 ◽

Vol 306 ◽

pp. 118114

Author(s):

Weihan Li ◽

Yue Fan ◽

Florian Ringbeck ◽

Dominik Jöst ◽

Dirk Uwe Sauer

Keyword(s):

Gaussian Process ◽

Lithium Ion Batteries ◽

Gaussian Process Regression ◽

Lithium Ion ◽

Power Prediction ◽

Model Based ◽

Electrochemical Model

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Model Based Multiscale Analysis of Film Formation in Lithium‐Ion Batteries

Batteries & Supercaps ◽

10.1002/batt.201800107 ◽

2019 ◽

Vol 2 (3) ◽

pp. 248-265 ◽

Author(s):

Fridolin Röder ◽

Vincent Laue ◽

Ulrike Krewer

Keyword(s):

Lithium Ion Batteries ◽

Multiscale Analysis ◽

Film Formation ◽

Lithium Ion ◽

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Model Based Optimal Design of Electrode Architecture of Lithium-Ion Batteries

ECS Meeting Abstracts ◽

10.1149/ma2012-01/27/1047 ◽

2012 ◽

Keyword(s):

Optimal Design ◽

Lithium Ion Batteries ◽

Lithium Ion ◽

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Model Based Optimal Control Strategies for Lithium-Ion Batteries -Theoretical Analysis of Performance Gains

ECS Meeting Abstracts ◽

10.1149/ma2014-01/1/143 ◽

2014 ◽

Keyword(s):

Optimal Control ◽

Theoretical Analysis ◽

Lithium Ion Batteries ◽

Control Strategies ◽

Lithium Ion ◽

Model Based ◽

Performance Gains ◽

Analysis Of Performance

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Model-based Validation of Lithium-ion Batteries for Vehicle Use

ATZelectronics worldwide ◽

10.1007/s38314-020-0285-0 ◽

2020 ◽

Vol 15 (12) ◽

pp. 18-24

Author(s):

Franz Langmayr ◽

Ulrich Penitz

Keyword(s):

Lithium Ion Batteries ◽

Lithium Ion ◽

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A comparative study of three model-based algorithms for estimating state-of-charge of lithium-ion batteries under a new combined dynamic loading profile

Applied Energy ◽

10.1016/j.apenergy.2015.11.072 ◽

2016 ◽

Vol 164 ◽

pp. 387-399 ◽

Author(s):

Fangfang Yang ◽

Yinjiao Xing ◽

Dong Wang ◽

Kwok-Leung Tsui

Keyword(s):

Comparative Study ◽

Lithium Ion Batteries ◽

Dynamic Loading ◽

Lithium Ion ◽

State Of Charge ◽

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Model based condition monitoring in lithium-ion batteries

Journal of Power Sources ◽

10.1016/j.jpowsour.2014.06.052 ◽

2014 ◽

Vol 268 ◽

pp. 459-468 ◽

Author(s):

Amardeep Singh ◽

Afshin Izadian ◽

Sohel Anwar

Keyword(s):

Lithium Ion Batteries ◽

Condition Monitoring ◽

Lithium Ion ◽

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