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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Nov 2017
Next issue: Feb 2018
Avg review time: 104 days


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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Wind Speed Prediction with Wavelet Time Series Based on Lorenz Disturbance, ZHANG, Y., WANG, P., CHENG, P., LEI, S.
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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  2/2010 - 18

Hybrid Electric Vehicle Experimental Model with CAN Network Real Time Control

LIVINT, G. See more information about LIVINT, G. on SCOPUS See more information about LIVINT, G. on IEEExplore See more information about LIVINT, G. on Web of Science, HORGA, V. See more information about  HORGA, V. on SCOPUS See more information about  HORGA, V. on SCOPUS See more information about HORGA, V. on Web of Science, STICEA, D. See more information about  STICEA, D. on SCOPUS See more information about  STICEA, D. on SCOPUS See more information about STICEA, D. on Web of Science, RATOI, M. See more information about  RATOI, M. on SCOPUS See more information about  RATOI, M. on SCOPUS See more information about RATOI, M. on Web of Science, ALBU, M. See more information about ALBU, M. on SCOPUS See more information about ALBU, M. on SCOPUS See more information about ALBU, M. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,483 KB) | Citation | Downloads: 1,671 | Views: 3,218

Author keywords
CAN network, experimental model, hybrid electrical vehicle, real time control

References keywords
electric(8), hybrid(7), canopen(7), ratoi(6), protocol(6), horga(6), control(6), vehicle(5), livint(5), distributed(5)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2010-05-31
Volume 10, Issue 2, Year 2010, On page(s): 102 - 107
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.02018
Web of Science Accession Number: 000280312600018
SCOPUS ID: 77954632077

Abstract
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Full text preview
In this paper an experimental model with a distributed control system of a hybrid electrical vehicle is presented. A communication CAN network of high speed (1 Mbps) assures a distributed control of the all components. The modeling and the control of different operating regimes are realized on an experimental test-bench of a hybrid electrical vehicle. The experimental results concerning the variations of the mains variables (currents, torques, speeds) are presented.


References | Cited By  «-- Click to see who has cited this paper

[1] H. Boterenbrood, "CANopen high-level protocol for CAN-bus", NIKHEF, Amsterdam March 20, 2300, Versiunea 3.0.

[2] S. Comigan, "Introduction to the Controller Area Network (CAN)", Texas Instruments Application Report, SLOA101-August 2002, pp. 1-16.

[3] V. R. Chacko, V.Z. Lahaparampil, V. Chandrasekar, "CAN based distributed real time controller implementation for hybrid electric vehicle", 0-7803-9280-9-05/2005IEEE, 247- 251.

[4] J. Duan, J. Xiao, M. Zhang, "Framework of CANopen Protocol for a Hybrid Electric Vehicle", Proceedings of the IEEE Intelligent Vehicles Symposium Istanbul, Turkey, June 13-15, 2007.
[CrossRef]


[5] Gh. Livint, R. Gaiginschi, V. Horga, R. Drosescu, G. Chiriac, M. Albu, M. Ratoi, I. Damian, M. Petrescu, "Vehicule electrice hibride", Casa de Editura Venus, Iasi, 2006.

[6] Siemens, Sinamics, S120 Control Unit and additional system components, 03, 2007 Edition.

[7] CANopen User Manual, Software Manual, July 2004, PHYTE Technology Holding Company

[8] Gh. Livint, V. Horga, M. Ratoi, "Distributed control system for a hybrid electric vehicle implemented with CANopen protocol" - Part I, Bulletin of the Polytechnic Institute of Iasi, tom LIV (LVIII), FASC. 4, 2008, ISSN 1223-8139, pp. 1019-1026

[9] Gh. Livint, V. Horga, M. Ratoi , M. Albu, M. Petrescu, G. Chiriac, "Distributed control system for a hybrid electric vehicle implemented with CANopen protocol" - Part II, Bulletin of the Polytechnic Institute of Iasi, tome LIV (LVIII), FASC. 4, 2008, ISSN 1223-8139, pp.1027-1032

[10] Gh. Livint, V. Horga, M. Ratoi, I. Damian, M. Albu M.,G. Chiriac, "Advanced real rime control algorithms for hybrid electric vehicles optimization", CEEX Program, Simpozion "Contributii Stiintifice", UCP AMTRANS, noiembrie 2008, pp. 209-214

[11] Gh. Livint, V. Horga, M. Ratoi, M. Albu, G. Chiriac "Implementing the CANopen protocol for distributed control for a hybrid electric vehicle", Proceedings The 8th International Symposium on Advanced Electromechanical Motion Systems, Lille, July 1-3, 2009 , CD., ISBN: 978-2-915913-25-5/EAN: 978291591325

[12] M. Ehsani, Y. Gao, S.E. Gay, A. Emadi, "Modern Electric, Hybrid Electric, and Fuel Cell Vehicles", CRC PRESS, 2005, ISBN 0-8493-3154-4

[13] V. Horga, I. Doroftei, M. Ratoi, "CANopen protocol for the distributed control of an omnidirectional mobile robot", European Journal of Mechanical and Environmental Engineering, Volume 2010, Issue 1.

References Weight

Web of Science® Citations for all references: 0
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 0
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-12-16 17:34 in 9 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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