Organosulfide‐Based Deep Eutectic Electrolyte for Lithium Battery

2021 ◽  
Author(s):  
Jiahan Song ◽  
Yubing Si ◽  
Wei Guo ◽  
Donghai Wang ◽  
Yongzhu Fu
Keyword(s):  
Lithium Battery

Diffraction analysis of the lithium battery cathode material Li1.2Mn0.4Ni0.3Co0.1O2

2007 ◽  
Vol 2007 (suppl_26) ◽  
pp. 483-488
Author(s):  
P. S. Whitfield ◽  
I. J. Davidson ◽  
P. W. Stephens ◽  
L. M. D. Cranswick ◽  
I. P. Swainson
Keyword(s):  
Cathode Material ◽  
Diffraction Analysis ◽  
Lithium Battery

High-rate non-aqueous lithium battery

1970 ◽  
Author(s):  
M. EISENBERG ◽  
K. WONG
Keyword(s):  
Lithium Battery ◽  
High Rate

scholarly journals Estimation of the Hot Swap Circulation Current of a Multiple Parallel Lithium Battery System with an Artificial Neural Network Model

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1448
Author(s):  
Nam-Gyu Lim ◽  
Jae-Yeol Kim ◽  
Seongjun Lee
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Lithium Battery ◽  
Battery Pack ◽  
Battery Management ◽  
Ann Model ◽  
Battery System ◽  
Load Current ◽  
Circulating Current ◽  
Artificial Neural

Battery applications, such as electric vehicles, electric propulsion ships, and energy storage systems, are developing rapidly, and battery management issues are gaining attention. In this application field, a battery system with a high capacity and high power in which numerous battery cells are connected in series and parallel is used. Therefore, research on a battery management system (BMS) to which various algorithms are applied for efficient use and safe operation of batteries is being conducted. In general, maintenance/replacement of multi-series/multiple parallel battery systems is only possible when there is no load current, or the entire system is shut down. However, if the circulating current generated by the voltage difference between the newly added battery and the existing battery pack is less than the allowable current of the system, the new battery can be connected while the system is running, which is called hot swapping. The circulating current generated during the hot-swap operation is determined by the battery’s state of charge (SOC), the parallel configuration of the battery system, temperature, aging, operating point, and differences in the load current. Therefore, since there is a limit to formulating a circulating current that changes in size according to these various conditions, this paper presents a circulating current estimation method, using an artificial neural network (ANN). The ANN model for estimating the hot-swap circulating current is designed for a 1S4P lithium battery pack system, consisting of one series and four parallel cells. The circulating current of the ANN model proposed in this paper is experimentally verified to be able to estimate the actual value within a 6% error range.

Promising Porous Cu2ZnSnS4 Electrode Composition Synthesized by Acetate Route-Based Sol-Gel Process for Lithium Battery Application

2021 ◽  
Author(s):  
Muhammad Amirul Aizat Mohd Abdah ◽  
Muhammad Ramiey Rejab ◽  
Marliyana Mokhtar ◽  
Kamaruzaman Sopian ◽  
Azizan Ahmad ◽  
...  
Keyword(s):  
Lithium Battery ◽  
Sol Gel ◽  
Sol Gel Process ◽  
Electrode Composition ◽  
Battery Application

scholarly journals Modeling and Simulation in Capacity Degradation and Control of All-Solid-State Lithium Battery Based on Time-Aging Polymer Electrolyte

Polymers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1206
Author(s):  
Xuansen Fang ◽  
Yaolong He ◽  
Xiaomin Fan ◽  
Dan Zhang ◽  
Hongjiu Hu
Keyword(s):  
Solid State ◽  
Lithium Battery ◽  
Lithium Salt ◽  
Operating Temperature ◽  
Discharge Rate ◽  
Salt Content ◽  
Lithium Ion ◽  
Solid Polymer Electrolytes ◽  
Solid Polymer ◽  
Capacity Degradation

The prediction of electrochemical performance is the basis for long-term service of all-solid-state-battery (ASSB) regarding the time-aging of solid polymer electrolytes. To get insight into the influence mechanism of electrolyte aging on cell fading, we have established a continuum model for quantitatively analyzing the capacity evolution of the lithium battery during the time-aging process. The simulations have unveiled the phenomenon of electrolyte-aging-induced capacity degradation. The effects of discharge rate, operating temperature, and lithium-salt concentration in the electrolyte, as well as the electrolyte thickness, have also been explored in detail. The results have shown that capacity loss of ASSB is controlled by the decrease in the contact area of the electrolyte/electrode interface at the initial aging stage and is subsequently dominated by the mobilities of lithium-ion across the aging electrolyte. Moreover, reducing the discharge rate or increasing the operating temperature can weaken this cell deterioration. Besides, the thinner electrolyte film with acceptable lithium salt content benefits the durability of the ASSB. It has also been found that the negative effect of the aging electrolytes can be relieved if the electrolyte conductivity is kept being above a critical value under the storage and using conditions.

Lithium battery aging model based on Dakin’s degradation approach

2016 ◽  
Vol 325 ◽  
pp. 273-285 ◽  
Author(s):  
Issam Baghdadi ◽  
Olivier Briat ◽  
Jean-Yves Delétage ◽  
Philippe Gyan ◽  
Jean-Michel Vinassa
Keyword(s):  
Lithium Battery ◽  
Aging Model ◽  
Model Based
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