scholarly journals High-Energy X-Ray Compton Scattering Imaging of 18650-Type Lithium-Ion Battery Cell

2019 ◽  
Vol 4 (3) ◽  
pp. 66 ◽  
Author(s):  
Kosuke Suzuki ◽  
Ari-Pekka Honkanen ◽  
Naruki Tsuji ◽  
Kirsi Jalkanen ◽  
Jari Koskinen ◽  
...  

High-energy synchrotron X-ray Compton scattering imaging was applied to a commercial 18650-type cell, which is a cylindrical lithium-ion battery in wide current use. By measuring the Compton scattering X-ray energy spectrum non-destructively, the lithiation state in both fresh and aged cells was obtained from two different regions of the cell, one near the outer casing and the other near the center of the cell. Our technique has the advantage that it can reveal the lithiation state with a micron-scale spatial resolution even in large cells. The present method enables us to monitor the operation of large-scale cells and can thus accelerate the development of advanced lithium-ion batteries.

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.


2017 ◽  
Vol 3 (8) ◽  
pp. e1700971 ◽  
Author(s):  
Hasnain Hafiz ◽  
Kosuke Suzuki ◽  
Bernardo Barbiellini ◽  
Yuki Orikasa ◽  
Vincent Callewaert ◽  
...  

2013 ◽  
Vol 230 ◽  
pp. 32-37 ◽  
Author(s):  
Chi-Kai Lin ◽  
Yang Ren ◽  
Khalil Amine ◽  
Yan Qin ◽  
Zonghai Chen

2018 ◽  
Vol 2018 ◽  
pp. 1-7 ◽  
Author(s):  
Benjamin T. Young ◽  
David R. Heskett ◽  
Joseph C. Woicik ◽  
Brett L. Lucht

The surface sensitivity available to photoelectron spectroscopies (PESs) makes them popular techniques for characterization of chemical environments at shallower depths than other, more bulk-sensitive techniques and because they are generally thought to be nondestructive. Variable energy, synchrotron radiation (SR), permits access to information not available to common lab-based radiation sources, making high-energy PES studies extremely useful for understanding thin films and interfaces. High-SR photon flux has been useful for developing models of soft X-ray-induced effects, but hard X-ray SR-induced effects are less well studied and will be increasingly important as popularity and availability of SR for thin film analysis continues to grow. We report here on observed modification of the solid electrolyte interphase of a lithium-ion battery electrode during prolonged exposure to 4 keV SR. The effects can be summarized by desorption of oxygen-containing species from the sample surface and by reactions within the film. Also presented is an estimate of the layer thickness’ time evolution during the prolonged SR exposure.


2001 ◽  
Vol 3 (3) ◽  
pp. 136-141 ◽  
Author(s):  
Artur Braun ◽  
Soenke Seifert ◽  
Pappannan Thiyagarajan ◽  
Stephen P. Cramer ◽  
Elton J. Cairns

2020 ◽  
Vol 32 ◽  
pp. 101707 ◽  
Author(s):  
Mohsen Akbarzadeh ◽  
Theodoros Kalogiannis ◽  
Joris Jaguemont ◽  
Jiacheng He ◽  
Lu Jin ◽  
...  

Author(s):  
Michael Kirchhof ◽  
Klaus Haas ◽  
Thomas Kornas ◽  
Sebastian Thiede ◽  
Mario Hirz ◽  
...  

The production of lithium-ion battery cells is characterized by a high degree of complexit due to numerous cause-effect relationships between process characteristics. Knowledge about the multi-stage production is spread among several experts, rendering tasks such as failure analysis challenging. In this paper, a method is presented, which includes expert knowledge acquisition in production ramp-up by combining Failure Mode and Effects Analysis (FMEA) with a Bayesian Network. We show the effectiveness of this holistic method by building up a large scale, cross-process Bayesian Failure Network in lithium-ion battery production. Using this model, we are able to conduct root cause analyses as well as analyses of failure propagation. The former support operators in identifying root causes once a cell possesses a specific failure by calculating most-probable explanations matched to the individual battery cell data. The latter enable us to analyze propagation of failures and deviations in the production chain and thus provide support for placement of quality gates, leading to a significant reduction in scrap rate. Moreover, it gives an insight into which process steps are key drivers for which final product characteristics.


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