An Intelligent Deformation‐Based Approach to the State of Health Estimation of Collided Lithium‐Ion Batteries for Facilitating Battery Module Safety Evaluation

[1]  Fredrik Larsson,et al.  Lithium-Ion Battery Aspects on Fires in Electrified Vehicles on the Basis of Experimental Abuse Tests , 2016 .

[2]  Alex Wright,et al.  Space as Text , 2014 .

[3]  C. Di Maio,et al.  Volume change behaviour of clays: the influence of mineral composition, pore fluid composition and stress state , 2004 .

[4]  Kemal Polat,et al.  A new feature selection method on classification of medical datasets: Kernel F-score feature selection , 2009, Expert Syst. Appl..

[5]  Jianqiu Li,et al.  A review on the key issues for lithium-ion battery management in electric vehicles , 2013 .

[6]  Xinyi Wang,et al.  Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies , 2016 .

[7]  Andrea Marongiu,et al.  A critical overview of definitions and determination techniques of the internal resistance using lithium-ion, lead-acid, nickel metal-hydride batteries and electrochemical double-layer capacitors as examples , 2015 .

[8]  Jun Xu,et al.  Dynamic mechanical integrity of cylindrical lithium-ion battery cell upon crushing , 2015 .

[9]  Wei Li,et al.  A review of safety-focused mechanical modeling of commercial lithium-ion batteries , 2018 .

[10]  IL-Song Kim,et al.  A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer , 2010, IEEE Transactions on Power Electronics.

[11]  V. Subramanian,et al.  Towards real-time (milliseconds) parameter estimation of lithium-ion batteries using reformulated physics-based models , 2008 .

[12]  Gwi-Tae Park,et al.  Design of a Robust Stable Flux Observer for Induction Motors , 2007 .

[13]  D. Ruppert The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .

[14]  Rudi Kaiser,et al.  Optimized battery-management system to improve storage lifetime in renewable energy systems , 2007 .

[15]  Alessandro Simeone,et al.  Artificial Neural Network–Based Multisensor Monitoring System for Collision Damage Assessment of Lithium‐Ion Battery Cells , 2020 .

[16]  Yan Yu,et al.  A Review on Lithium-Ion Batteries Safety Issues: Existing Problems and Possible Solutions , 2012 .

[17]  H. Akagi,et al.  State-of-Charge (SOC)-Balancing Control of a Battery Energy Storage System Based on a Cascade PWM Converter , 2009, IEEE Transactions on Power Electronics.

[18]  Qingsong Wang,et al.  Thermal runaway caused fire and explosion of lithium ion battery , 2012 .

[19]  Jinhua Sun,et al.  Lithium Ion Battery Fire and Explosion , 2005 .

[20]  Song-Jeng Huang,et al.  Experimental investigations of effects of SiC contents and severe plastic deformation on the microstructure and mechanical properties of SiCp/AZ61 magnesium metal matrix composites , 2019, Journal of Materials Processing Technology.

[21]  Jian Zhang,et al.  Collision damage assessment in lithium-ion battery cells via sensor monitoring and ensemble learning , 2018 .

[22]  Yong Xia,et al.  Damage of cells and battery packs due to ground impact , 2014 .

[23]  Matthieu Dubarry,et al.  From single cell model to battery pack simulation for Li-ion batteries , 2009 .

[24]  Qing Liu,et al.  The effects of increasing deformation strain on the microstructural evolution of a metastable β-Zr alloy , 2019, Journal of Alloys and Compounds.

[25]  Masatoshi Uno,et al.  Cycle life evaluation of 3 Ah LixMn2O4-based lithium-ion secondary cells for low-earth-orbit satellites: II. Harvested electrode examination , 2008 .