Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using First-Principles-Based Efficient Reformulated Models

2019 ◽  
Vol 19 (16) ◽  
pp. 11-19 ◽  
Author(s):  
Venkatasailanathan Ramadesigan ◽  
Vijayasekaran Boovaragavan ◽  
Mounika Arabandi ◽  
Kejia Chen ◽  
Hisashi Tsukamoto ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Lithium Ion Batteries ◽  
First Principles ◽  
Lithium Ion ◽  
Capacity Fade

scholarly journals Parameter Estimation and Capacity Fade Analysis of Lithium-Ion Batteries Using Reformulated Models

2011 ◽  
Vol 158 (9) ◽  
pp. A1048 ◽  
Author(s):  
Venkatasailanathan Ramadesigan ◽  
Kejia Chen ◽  
Nancy A. Burns ◽  
Vijayasekaran Boovaragavan ◽  
Richard D. Braatz ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Capacity Fade

scholarly journals Battery Stress Factor Ranking for Accelerated Degradation Test Planning Using Machine Learning

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 723
Author(s):  
Saurabh Saxena ◽  
Darius Roman ◽  
Valentin Robu ◽  
David Flynn ◽  
Michael Pecht
Keyword(s):  
Machine Learning ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Consumer Electronics ◽  
Stress Factors ◽  
Test Time ◽  
Capacity Fade ◽  
Maximum Acceleration ◽  
Accelerated Degradation ◽  
Qualification Testing

Lithium-ion batteries power numerous systems from consumer electronics to electric vehicles, and thus undergo qualification testing for degradation assessment prior to deployment. Qualification testing involves repeated charge–discharge operation of the batteries, which can take more than three months if subjected to 500 cycles at a C-rate of 0.5C. Accelerated degradation testing can be used to reduce extensive test time, but its application requires a careful selection of stress factors. To address this challenge, this study identifies and ranks stress factors in terms of their effects on battery degradation (capacity fade) using half-fractional design of experiments and machine learning. Two case studies are presented involving 96 lithium-ion batteries from two different manufacturers, tested under five different stress factors. Results show that neither the individual (main) effects nor the two-way interaction effects of charge C-rate and depth of discharge rank in the top three significant stress factors for the capacity fade in lithium-ion batteries, while temperature in the form of either individual or interaction effect provides the maximum acceleration.

Doped graphenes as anodes with large capacity for lithium-ion batteries

2016 ◽  
Vol 4 (35) ◽  
pp. 13407-13413 ◽  
Author(s):  
Liujiang Zhou ◽  
Z. F. Hou ◽  
Bo Gao ◽  
Thomas Frauenheim
Keyword(s):  
Lithium Ion Batteries ◽  
First Principles ◽  
Lithium Ion ◽  
Doping Effect ◽  
Chemical Doping ◽  
First Principles Calculations ◽  
Large Capacity ◽  
And Diffusion ◽  
Li Storage

To understand the chemical doping effect on the lithium (Li) storage of graphene, we have performed first-principles calculations to study the adsorption and diffusion of Li adatoms on boron (B)- and nitrogen (N)-doped graphenes, which include individual and paired B (and N) dopants in graphene.

First Principles Calculations on Lithium Diffusion near Surface and in Bulk of Fe-doped LiCoPO4

2021 ◽  
Author(s):  
Kuan-Ching Wu ◽  
Chieh-Ming Hsieh ◽  
Bor Kae Chang
Keyword(s):  
Cathode Material ◽  
Lithium Ion Batteries ◽  
High Voltage ◽  
First Principles ◽  
Energy Barrier ◽  
Lithium Ion ◽  
First Principles Calculations ◽  
Near Surface ◽  
Lithium Diffusion ◽  
Olivine Phosphate

The olivine phosphate LiCoPO4 is a prospective cathode material in high voltage lithium ion batteries. During lithium diffusion, the ions must overcome diffusion energy barrier near the surface and in...

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