Planung des Einsatzes von Inline-Messtechnik*/Planning of the use of inline metrology - A case study for lithium ion battery assembly as an immature production technology

2015 ◽  
Vol 105 (11-12) ◽  
pp. 787-792
Author(s):  
B. Häfner ◽  
A. Kölmel ◽  
G. Lanza

Bei unreifen Produktionstechnologien, wie der Batterieproduktion für elektromobile Anwendungen, ist eine geeignete Integration von Mess- und Prüftechnik in die Prozesskette von großer Relevanz. Der Fachartikel stellt einen Ansatz zur Planung der Prüfmittelallokation in einer Prozesskette vor. Die Methodik beruht auf der Kombination von Simulations- und Optimierungsverfahren.   For immature production technologies like automotive battery production suitable integration of measuring and testing technology into the process chain is essential. In this article an approach for the planning of the allocation of testing equipment into a process chain is presented. The method is based on the combination of simulation and optimization techniques.

2021 ◽  
Vol 32 (4) ◽  
pp. 045405
Author(s):  
Yapeng Wu ◽  
Min Yang ◽  
Yishuai Wang ◽  
Honggang Li ◽  
ZhiGuo Gui ◽  
...  

2020 ◽  
Vol 9 (2) ◽  
pp. 151-157
Author(s):  
Snigdha Sharma ◽  
Amrish Kumar Panwar ◽  
Madan Mohan Tripathi

In the present time, the rechargeable lithium-ion battery is being commercialized to meet the sustained market’s demands. To design a more reliable, safe, and efficient Li-ion battery, a 3-D simulation study has been presented in this paper. In this study, a lithium-ion coin-cell is proposed which has LiFePO4 as a positive electrode with a thickness of 1.76 µm, carbon as a negative electrode with a thickness of 2.50 µm and Celgard 2400 polypropylene sheet as a separator between the electrodes with a thickness of 2 µm. The proposed Li-ion battery has been designed, analyzed, and optimized with the help of Multiphysics software. The simulation study has been performed to analyze the electrochemical properties such as cyclic voltammetry (CV) and impedance spectroscopy (EIS). Moreover, the electrical and thermal properties at the microscopic level are investigated and optimized in terms of surface potential distribution, the concentration of electrolyte, open circuit, and surface temperature with respect to time. It has been noticed that the peak voltage, 3.45 V is observed as the temperature distribution on the surface varies from 0 OC to 80 OC at a microscopic scale with different C-rates. The analysis of simulation results indicates a smoother electrode surface with uniform electrical and thermal properties distribution resulting in improved reliability of the battery. The performed simulation and optimization are helpful to achieve control over battery performance and safe usage without any degradation of the environment.©2020. CBIORE-IJRED. All rights reserved.


Author(s):  
Jasmine Mira ◽  
Nicole Braxtan ◽  
Shen-En Chen ◽  
Tiefu Zhao ◽  
Lynn Harris ◽  
...  

Lithium ion battery fire hazard has been well-documented in a variety of applications. Recently, battery train technology has been introduced as a clean energy concept for railway. In the case of heavy locomotives such as trains, the massive collection of battery stacks required to meet energy demands may pose a significant hazard. The objective of this paper is to review the risk evaluation processes for train fires and investigate the propagation of lithium ion battery fire to a neighboring steel warehouse structure at a rail repair shop through a case study. The methodology of the analyses conducted include a Monte Carlo-based dynamic modeling of fire propagation potentials, an expert-based fire impact analysis, and a finite element (FE) nonlinear fire analysis on the structural frame. The case study is presented as a demonstration of a holistic fire risk analysis for the lithium ion battery fire and results indicate that significant battery fire mitigations strategies should be considered.


2021 ◽  
Author(s):  
Daniel Witt ◽  
Dion Wilde ◽  
Florian Baakes ◽  
Fethi Belkhir ◽  
Fridolin Röder ◽  
...  

Author(s):  
Aramis Perez ◽  
Vanessa Quintero ◽  
Francisco Jaramillo ◽  
Heraldo Rozas ◽  
Diego Jimenez ◽  
...  

The use of energy storage devices, such as lithium-ion batteries, has become popular in many different domains and applications. Hence, it is relatively easy to find literature associated with problems of battery state-of-charge estimation and energy autonomy prognostics. Despite this fact, the characterization of battery degradation processes is still a matter of ongoing research. Indeed, most battery degradation models solely consider operation under nominal (or strictly controlled) conditions, although actual operating profiles (including discharge current) may differ significantly from those. In this context, this article proposes a lithium-ion battery degradation model that incorporates the impact of arbitrary discharge currents. Also, the proposed model, initially calibrated through data reported for a specific lithium-ion battery type, can characterize degradation curves for other lithium-ion batteries. Two case studies have been carried out to validate the proposed model, initially calibrated by using data from a Sony battery. The first case study uses our own experimental data obtained for a Panasonic lithium-ion cell, which was cycled and degraded at high current rates. The second case study considers the analysis of two public data sets available at the Prognostics Center of Excellence of NASA Ames Research Center website, for batteries cycled using nominal and 2-C (twice the nominal) discharge currents. Results show that the proposed model can characterize degradation processes properly, even when cycles are subject to different discharge currents and for batteries not manufactured by Sony (whose data were used for the initial calibration).


2020 ◽  
Vol 25 ◽  
pp. e00152 ◽  
Author(s):  
Steve Sloop ◽  
Lauren Crandon ◽  
Marshall Allen ◽  
Kara Koetje ◽  
Lori Reed ◽  
...  

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