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

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

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

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

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

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 ◽  
Model Based

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

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 ◽  
Model Based

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

2020 ◽  
Vol 15 (12) ◽  
pp. 18-24
Author(s):  
Franz Langmayr ◽  
Ulrich Penitz
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Model Based

Interacting multiple model particle filter for prognostics of lithium-ion batteries

2017 ◽  
Vol 70 ◽  
pp. 59-69 ◽  
Author(s):  
Xiaohong Su ◽  
Shuai Wang ◽  
Michael Pecht ◽  
Lingling Zhao ◽  
Zhe Ye
Keyword(s):  
Particle Filter ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Interacting Multiple Model ◽  
Multiple Model ◽  
Model Particle
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