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JCR Impact Factor: 0.800
JCR 5-Year IF: 1.000
SCOPUS CiteScore: 2.0
Issues per year: 4
Current issue: Feb 2024
Next issue: May 2024
Avg review time: 76 days
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

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SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  3/2021 - 7

Thermal-Electrochemical Modeling and Analysis of Different Cathode-Anode pairs for Lithium-ion Battery

SHARMA, S. See more information about SHARMA, S. on SCOPUS See more information about SHARMA, S. on IEEExplore See more information about SHARMA, S. on Web of Science, PANWAR, A. K. See more information about  PANWAR, A. K. on SCOPUS See more information about  PANWAR, A. K. on SCOPUS See more information about PANWAR, A. K. on Web of Science, TRIPATHI, M. M. See more information about TRIPATHI, M. M. on SCOPUS See more information about TRIPATHI, M. M. on SCOPUS See more information about TRIPATHI, M. M. on Web of Science
 
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Download PDF pdficon (1,335 KB) | Citation | Downloads: 1,196 | Views: 2,066

Author keywords
anode, batteries, cathode, electrochemical, electrodes

References keywords
lithium(36), electrochemical(25), battery(23), batteries(21), thermal(19), power(14), sources(13), model(13), energy(13), jjpowsour(10)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2021-08-31
Volume 21, Issue 3, Year 2021, On page(s): 57 - 64
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.03007
Web of Science Accession Number: 000691632000007
SCOPUS ID: 85115236923

Abstract
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This article represents a computational approach for the estimation of the characteristics of lithium-ion batteries for a 2D electrochemical model of cylindrical type lithium-ion battery using COMSOL software. Various input parameters used in the model formulation have been obtained from experimental data as well as published work. For the evaluation of battery performance, an electrochemical-thermal mathematical model has been designed to determine the electrochemical parameters such as rate capability, charge/discharge characteristic, ragone curve. Further, the electrochemical characteristics have been characterized with the help of cyclic voltammetry (CV) test which indicates the uniform electrochemical reactivity and transport properties of the designed battery. Two types of electrode pairs in which LiMn2O4 as cathode materials form LiMn2O4 (LMO)/Graphite and LMO/Carbon (MCMB) are designed and these electrode pairs are simulated and evaluated to determine the characteristics of battery material using charge and discharge curve at different current loads (C-rates) as well as ragone curve. The simulation results validate the electrochemical behavior of the proposed 2D model. Also, the LMO/graphite electrode pair shows better discharging and charging capacity, high energy, and power curve as compared to the LMO/Carbon (MCMB) electrode pair.


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Cited-By CrossRef

[1] Multiscale Modeling and Experimental Characterization for Enhancement in Electrical, Mechanical, and Thermal Performances of Lithium-Ion Battery, Sharma, Snigdha, Panwar, Amrish K., Tripathi, M. M., Frontiers in Energy Research, ISSN 2296-598X, Issue , 2022.
Digital Object Identifier: 10.3389/fenrg.2022.851377
[CrossRef]

[2] Comparative Study of NCM and NCA Electrode Material for Capacity-Fade Using 1-D Modeling, Gupta, Ebani, Verma, Vikas, Khulway, Gaurav, Panwar, Amrish K., International Journal of Electrical and Electronics Research, ISSN 2347-470X, Issue 3, Volume 10, 2022.
Digital Object Identifier: 10.37391/ijeer.100308
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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