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JCR Impact Factor: 0.700
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Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
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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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

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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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2022-Jun-16
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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Analysis Platform for Energy Efficiency Enhancement in Hybrid and Full Electric Vehicles

NICOLAICA, M.-O. See more information about NICOLAICA, M.-O. on SCOPUS See more information about NICOLAICA, M.-O. on IEEExplore See more information about NICOLAICA, M.-O. on Web of Science, TARNICERIU, D. See more information about TARNICERIU, D. on SCOPUS See more information about TARNICERIU, D. on SCOPUS See more information about TARNICERIU, D. on Web of Science
 
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Download PDF pdficon (1,269 KB) | Citation | Downloads: 1,269 | Views: 3,859

Author keywords
batteries, data analysis, energy efficiency, electric vehicles, modeling

References keywords
electric(17), vehicle(10), hybrid(9), vehicles(8), power(6), motor(5), electronics(5), control(5), technology(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-02-28
Volume 16, Issue 1, Year 2016, On page(s): 47 - 52
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.01007
Web of Science Accession Number: 000376995400007
SCOPUS ID: 84960092815

Abstract
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The current paper presents a new virtual analysis method that is applied both on hybrid and electric vehicle architectures with the purpose of contributing to the improvement of energy efficiency. The study is based on Matlab modeling and simulation. A set of parameters are considered in order to assess the system performance. The benefit is given by the comparative overview obtained after the completed analysis. The effectiveness of the analysis method is confirmed by a sequence of simulation results combined in several case studies. The impulse of the research is given by the fact that the automotive market is focusing on wider simulation techniques and better control strategies that lead to more efficient vehicles. Applying the proposed method during design would improve the battery management and controls strategy. The advantage of this method is that the system behavior with regards to energy efficiency can be evaluated from an early concept phase. The results contribute to the actual necessity of driving more efficient and more environmental friendly vehicles.


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Cited-By Clarivate Web of Science

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Cited-By SCOPUS

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Cited-By CrossRef

[1] Design and Simulation of Romanian Solar Energy Charging Station for Electric Vehicles, Badea, Gheorghe, Felseghi, Raluca-Andreea, Varlam, Mihai, Filote, Constantin, Culcer, Mihai, Iliescu, Mariana, Răboacă, Maria Simona, Energies, ISSN 1996-1073, Issue 1, Volume 12, 2018.
Digital Object Identifier: 10.3390/en12010074
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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