scholarly journals RUL Prediction of Lithium-Ion Battery Based on Improved DGWO-ELM Method in a Random Discharge Rates Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 125176-125187 ◽  
Author(s):  
Jun Zhu ◽  
Tianxiong Tan ◽  
Lifeng Wu ◽  
Huimei Yuan
2020 ◽  
Vol 71 (4) ◽  
pp. 615-632
Author(s):  
Jing Jing Li ◽  
Meng Chen

The optimal energy and power performance of lithium ion batteries can be attained if a suitable thermal battery management system is used. Furthermore, to ensure the safe operation, a well functioning temperature control method, is needed. To achieve these goals, the simulation software COMSOL Multiphysics used to construct a three-dimensional electrochemical/thermal model of a monomer lithium ion battery. The simulation makes it possible to study the thermal characteristics at different ambient temperatures and different discharge rates. The obtained main outcomes are 1) The temperature of the lithium ion battery increases with increasing discharge ratio, and a sudden temperature increase is observed for higher discharge ratios, 2) For constant discharge rates, the temperature increase of the battery occurs mainly in the positive and negative electrode region, while lower temperatures are observed in the center and lower-edge region. A comparison between simulation and obtained date, indicates that the three-dimensional electrochemical/thermal model of the monomer lithium ion battery described the lithium ion battery well in terms of both heat generation and heat transfer.


2021 ◽  
Vol 4 (1) ◽  

Lithium – Ion batteries are now extensively used in electric vehicles (EV) as well as in renewable power generation applications for both on-grid and off grid storage. Some of the major challenges with batteries for electric vehicles are the requirement of high energy density, compatibility with high charge and discharge rates while maintaining high performance, and prevention of any thermal runaway conditions. The objective of this research is to develop a computer simulation model for coupled electrochemical and thermal analysis and characterization of a lithium-ion battery performance subject to a range of charge and discharge loading, and thermal environmental conditions. The electrochemical model includes species and charge transport through the liquid and solid phases of electrode and electrolyte layers along with electrode kinetics. The thermal model includes several heat generation components such as reversible, irreversible and ohmic heating, and heat dissipation through layers of battery cell. Simulation is carried out to evaluate the electrochemical and thermal behavior with varying discharge rates. Results demonstrated a strong variation in the activation and ohmic polarization losses as well as in higher heat generation rates. Results show variation of different modes and order of cell heat generation rates that results in a higher rate of cell temperature rise as battery cell is subjected to higher discharge rates. The model developed will help in gaining a comprehensive insights of the complex transport processes in a cell and can form a platform for evaluating number new candidates for battery chemistry for enhanced battery performance and address safety issues associated with thermal runaway.


2018 ◽  
Vol 140 (9) ◽  
Author(s):  
James Garofalo ◽  
John Lawler ◽  
Daniel Walczyk ◽  
Nikhil Koratkar

Graphene oxide (GO) slurries were deposited onto copper foil for use in lithium-ion battery anodes to determine the best deposition method(s) for research or high-volume manufacturing. Four deposition methods were tested: doctor blade, Mayer rod, slot die, and low volume low pressure (LVLP) spray. Analytical models that link tooling and process characteristics to mass flow rate of slurry and the resulting dry deposition height are developed and validated experimentally. While all methods successfully produced functioning batteries, a number of different qualitative and quantitative metrics from experimental results identified the best method for both situations. Observations were recorded on adhesion, deposition consistency, usability, and cleanability. Data on specific discharge capacity were recorded to show performance over the anode lifetime and at different charge/discharge rates. The data indicate that anodes produced using reduced graphene oxide (rGO) deliver a specific charge storage capacity of 50 to 400 mAh/g at charge–discharge rates of 1 C to 0.05 C. Doctor blading proved to be best for laboratory setups because of its adjustability, while the Mayer rod shows promise for high-volume manufacturing due to better performance and the use of nonadjustable, dedicated tooling. All methods, analysis, and metrics are discussed.


Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4386 ◽  
Author(s):  
Dongcheul Lee ◽  
Boram Koo ◽  
Chee Burm Shin ◽  
So-Yeon Lee ◽  
Jinju Song ◽  
...  

This paper reports a modeling methodology to predict the effect of the loss of cyclable lithium of a lithium-ion battery (LIB) cell comprised of a LiNi0.6Co0.2Mn0.2O2 cathode, natural graphite anode, and an organic electrolyte on the discharge behavior. A one-dimensional model based on a finite element method is presented to calculate the discharge behaviors of an LIB cell during galvanostatic discharge for various levels of the loss of cyclable lithium. Modeling results for the variation of the cell voltage of the LIB cell are compared with experimental measurements during galvanostatic discharge at various discharge rates for three different levels of the loss of cyclable lithium to validate the model. The calculation results obtained from the model are in good agreement with the experimental measurements. On the basis of the validated modeling approach, the effects of the loss of cyclable lithium on the discharge capacity and available discharge power of the LIB cell are estimated. The modeling results exhibit strong dependencies of the discharge behavior of an LIB cell on the discharge C-rate and the loss of cyclable lithium.


2020 ◽  
Author(s):  
Foo Shen Hwang ◽  
Thomas Confrey ◽  
Stephen Scully ◽  
Dean Callaghan ◽  
Cathal Nolan ◽  
...  

2019 ◽  
Vol 443 ◽  
pp. 227108 ◽  
Author(s):  
Ang Yang ◽  
Yu Wang ◽  
Fangfang Yang ◽  
Dong Wang ◽  
Yanyang Zi ◽  
...  

2016 ◽  
Vol 4 (23) ◽  
pp. 9002-9008 ◽  
Author(s):  
Ye Zhang ◽  
Yuhang Wang ◽  
Lie Wang ◽  
Chieh-Min Lo ◽  
Yang Zhao ◽  
...  

A fiber-shaped aqueous lithium ion battery is developed with ultrafast charge–discharge rates and high power density in addition to high energy density.


2013 ◽  
Vol 470 ◽  
pp. 362-365 ◽  
Author(s):  
Gaoussou Hadia Fofana ◽  
You Tong Zhang

The lithium ion battery, thanks to their high density and high power, became promotes element for hybrid and EV vehicles. After several recent researches, it has been proved that lithium ion batteries are currently confronts a problem of temperature rise during their operation discharge, which affects the batteries performance, efficiency and reduces the life of lithium ion battery. However, this work is set to access the three dimensional analytical modeling based on Greens Function technique to study the thermal behavior of lithium-ion battery during discharge with different discharge rates (0.3C, C/2,1C, 2C,) and strategies natural convection cooling on the surface of the battery is performed.


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