Modeling capacity fade of lithium-ion batteries during dynamic cycling considering path dependence

[1]  M. Lienkamp,et al.  Teardown analysis and characterization of a commercial lithium-ion battery for advanced algorithms in battery electric vehicles , 2022, Journal of Energy Storage.

[2]  Linjing Zhang,et al.  Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications , 2021 .

[3]  A. Korre,et al.  Cost and carbon footprint reduction of electric vehicle lithium-ion batteries through efficient thermal management , 2021, Applied Energy.

[4]  D. Werner,et al.  Calendar Aging of Li-Ion Cells—Experimental Investigation and Empirical Correlation , 2021, Batteries.

[5]  G. Offer,et al.  Lithium ion battery degradation: what you need to know. , 2021, Physical chemistry chemical physics : PCCP.

[6]  Kandler Smith,et al.  Challenging Practices of Algebraic Battery Life Models through Statistical Validation and Model Identification via Machine-Learning , 2021, Journal of the Electrochemical Society.

[7]  M. Dubarry,et al.  Degradation of electric vehicle lithium-ion batteries in electricity grid services , 2020 .

[8]  D. Howey,et al.  Investigation of Path‐Dependent Degradation in Lithium‐Ion Batteries** , 2020, Batteries & Supercaps.

[9]  K. Birke,et al.  Aging of Extracted and Reassembled Li-ion Electrode Material in Coin Cells—Capabilities and Limitations , 2020, Batteries.

[10]  A. Latz,et al.  Solid–Electrolyte Interphase During Battery Cycling: Theory of Growth Regimes , 2020, ChemSusChem.

[11]  Md Sazzad Hosen,et al.  Electro-aging model development of nickel-manganese-cobalt lithium-ion technology validated with light and heavy-duty real-life profiles , 2020 .

[12]  S. Pélissier,et al.  Modelling Lithium-Ion Battery Ageing in Electric Vehicle Applications—Calendar and Cycling Ageing Combination Effects , 2020, Batteries.

[13]  Peter M. Attia,et al.  Revisiting the t 0.5 Dependence of SEI Growth , 2020 .

[14]  A. Jossen,et al.  Linear and Nonlinear Aging of Lithium-Ion Cells Investigated by Electrochemical Analysis and In-Situ Neutron Diffraction , 2019, Journal of The Electrochemical Society.

[15]  Cher Ming Tan,et al.  Semi-Empirical Capacity Fading Model for SoH Estimation of Li-Ion Batteries , 2019, Applied Sciences.

[16]  Pascal Venet,et al.  Calendar and cycling ageing combination of batteries in electric vehicles , 2018, Microelectron. Reliab..

[17]  Andreas Jossen,et al.  Analysis and modeling of calendar aging of a commercial LiFePO4/graphite cell , 2018, Journal of Energy Storage.

[18]  M. Beuse.  Death by a thousand charges , 2018 .

[19]  P. Gyan,et al.  D-optimal design of experiments applied to lithium battery for ageing model calibration , 2017 .

[20]  Andreas Jossen,et al.  Cycling capacity recovery effect: A coulombic efficiency and post-mortem study , 2017 .

[21]  Sina Ober-Blöbaum,et al.  Improving optimal control of grid-connected lithium-ion batteries through more accurate battery and degradation modelling , 2017, ArXiv.

[22]  Gilbert Laporte,et al.  Battery degradation and behaviour for electric vehicles: Review and numerical analyses of several models , 2017 .

[23]  Joris de Hoog,et al.  Combined cycling and calendar capacity fade modeling of a Nickel-Manganese-Cobalt Oxide Cell with real-life profile validation , 2017 .

[24]  S. Lux,et al.  Impedance change and capacity fade of lithium nickel manganese cobalt oxide-based batteries during calendar aging , 2017 .

[25]  Zhengqiang Pan,et al.  Residual life estimation under time-varying conditions based on a Wiener process , 2017 .

[26]  Jean-Michel Vinassa,et al.  Lithium battery aging model based on Dakin's degradation approach , 2016 .

[27]  Valérie Sauvant-Moynot,et al.  Development of an empirical aging model for Li-ion batteries and application to assess the impact of Vehicle-to-Grid strategies on battery lifetime , 2016 .

[28]  B. Liaw,et al.  Path dependence of lithium ion cells aging under storage conditions , 2016 .

[29]  A. Jossen,et al.  Economics of Residential Photovoltaic Battery Systems in Germany: The Case of Tesla’s Powerwall , 2016 .

[30]  Zhe Li,et al.  A dynamic capacity degradation model and its applications considering varying load for a large format Li-ion battery , 2016 .

[31]  G. Yin,et al.  Multi-stress factor model for cycle lifetime prediction of lithium ion batteries with shallow-depth discharge , 2015 .

[32]  Lide M. Rodriguez-Martinez,et al.  Cycle ageing analysis of a LiFePO4/graphite cell with dynamic model validations: Towards realistic lifetime predictions , 2014 .

[33]  M. Verbrugge,et al.  Degradation of lithium ion batteries employing graphite negatives and nickel-cobalt-manganese oxide + spinel manganese oxide positives: Part 1, aging mechanisms and life estimation , 2014 .

[34]  Dirk Uwe Sauer,et al.  A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries , 2014 .

[35]  J. Bernard,et al.  Calendar aging of commercial graphite/LiFePO4 cell - Predicting capacity fade under time dependent storage conditions , 2014 .

[36]  Dirk Uwe Sauer,et al.  Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data , 2012 .

[37]  Ira Bloom,et al.  Rate-based degradation modeling of lithium-ion cells , 2012 .

[38]  I. Bloom,et al.  Calendar and PHEV cycle life aging of high-energy, lithium-ion cells containing blended spinel and layered-oxide cathodes , 2011 .

[39]  M. Verbrugge,et al.  Cycle-life model for graphite-LiFePO 4 cells , 2011 .

[40]  Ira Bloom,et al.  Statistical methodology for predicting the life of lithium-ion cells via accelerated degradation testing , 2008 .

[41]  M. Dubarry,et al.  Battery Durability and Reliability under Electric Utility Grid Operations: Path Dependence of Battery Degradation , 2019, Journal of The Electrochemical Society.

[42]  Heinz Wenzl,et al.  Degradation of Lithium Ion Batteries under Complex Conditions of Use , 2012 .