IJSTR

International Journal of Scientific & Technology Research

IJSTR@Facebook IJSTR@Twitter IJSTR@Linkedin
Home About Us Scope Editorial Board Blog/Latest News Contact Us
CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT
QR CODE
IJSTR-QR Code

IJSTR >> Volume 6 - Issue 1, January 2017 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Intelligent Control Of An Electric Vehicle (ICEV)

[Full Text]

 

AUTHOR(S)

Taoufik Chaouachi, Kamel Jemaï

 

KEYWORDS

Strategy of control, random perturbation method , fuzzy logic,power train vehicle,electric vehicle,Permanent magnetic synchronus motor.

 

ABSTRACT

The electric vehicle allows fast, gentle, quiet and environmentally friendly movements in industrial and urban environments. The automotive industry has seen the opportunity to revive its production by replacing existing vehicles due to the reluctance of oil reserves around the world. In order to greatly reduce countries' dependence on oil, strategic sectors such as transport must increasingly integrate technologies based primarily on clean and renewable energy. Governments must implement large-scale measures to equip themselves with electric vehicles and build large recharge networks. The traditional system for conversions of conventional vehicles into electric vehicles consists of replacing the internal combustion engine and the gearbox with electrical components (engine and gearbox, or engine and gearbox), retaining the rest of the elements Transmission (transmission shafts, etc.).

 

REFERENCES

[1] CONTROL SYSTEMS FOR HIGH PERFORMANCE ELECTRIC CARS
PEDRET Paula, WEBB Jonathan, , BAYONA Guillermo, MOURE Christophe, BOLTSHAUSER Sandro
Volume 6 - Issue 1 - Pages 88-94.

[2] DESIGN CONSIDERATIONS FOR FAST AC BATTERY CHARGERS
BERTOLUZZO Manuele, BUJA Giuseppe, PEDE GIOVANNI
Volume 6 - Issue 1 - Pages 147-154, World Electric Vehicle Journal Vol. 6 - ISSN 2032-6653 - © 2013 WEVA.

[3] M. ISMAIL, M. Mustafa HASSAN “Load Frequency Control Adaptation Using Artificial Intelligent Techniques for One and Two Different Areas Power System” International Journal of Control, Automation and Systems IJCAS, Vol. 1, NO. 1, january 2012, p12-p23.

[4] A. M.A.Haidar,A. Mohamed and A. Hussain,”Vulnerability control of large scale interconnected power system using neuro-fuzzy load shedding approach”,Expert Systems With Applicatons, Elsevier 37.pp. 3171-3176, 2010.

[5] MOTOR-GENERATOR CONTROL TO IMPROVE SHIFT QUALITY FOR A DUAL MODE POWER SPLIT TRANSMISSION
HONG Sungwha, CHOI Woulsun, AHN Sunghyun, LEE Geontae, SON Hanho, KIM Yongjoo, KIM Hyunsoo
Volume 6 - Issue 2 - Pages 245-250, World Electric Vehicle Journal Vol. 6 - ISSN 2032-6653 - © 2013 WEVA .

[6] Alireza Alfi, "Hybrid state-feedback sliding-mode controller design using fuzzy logic for four-wheel-steering vehicles ", Vehicle System Dynamics, vol. 47, Issue. 3, pp. 265-284, 2009.

[7] Alireza Alfi, "Swarm optimization tuned Mamdani fuzzy controller for diabetes delayed model ", Turkish Journal of Electrical Engineering and Computer Sciences, vol. 21, pp. 2110-2126, 2013.

[8] Alireza Alfi, "Optimal design of type-2 fuzzy controller using particle swarm optimization for HVAC systems", Automatika-Journal for Control, Measurement, Electronics, Computing and Communications, vol. 55, vol. 1, pp. 69-78, 2014.

[9] D. Nazari, M. Abadi, M. H. Khooban, A. Alfi, M. Siahi "Design of optimal self-regulation Mamdani-type fuzzy inference controller for type 1 diabetes mellitus", Arabian Journal for Science and Engineering, vol. 39, pp. 977-986, 2014.

[10] M. H. Khooban, A. Alfi and Abadi, "Control of a class of nonlinear uncertain chaotic systems via an optimal type-2 fuzzy PID controller", IET Science, Measurement & Tecnology, vol. 7, no. 1, pp. 50-58, 2013.

[11] M. Hassan Khooban, Alireza Alfi, Davood Nazari and Maryam Abadi, "Teaching learning based optimal interval type-2 fuzzy PID controller design: A nonholonomic wheeled mobile robots", Robotica, vol. 31, no. 7, pp. 1059-1071, 2013.

[12] A. Alfi, A. Akbarzadeh Kalat and M. Hassan Khooban , “Adaptive fuzzy sliding mode control for synchronization of uncertain non-identical chaotic systems using bacterial foraging optimization” Journal of Intelligent & Fuzzy Systems 26(2014) 2567-2576, DOI: 10.3233/IFS-130928 IOS Press.

[13] Oscar Castillo, Patricia Melin, Jausz Kacprzyk, Wiltold Pedrycz,” Type 2 Fuzzy Logic : Theory and Applications”, IEEE International Conference on Granular Computing, 2007.

[14] IMPACT OF ELECTROMOBILITY ON AUTOMOTIVE ARCHITECTURES
LUCCARELLI Martin, RUSSO SPENA Pasquale, MATT Dominik
Volume 6 - Issue 1 - Pages 1-8, World Electric Vehicle Journal Vol. 6 - ISSN 2032-6653 - © 2013 WEVA .

[15] H. Jouini, K. Jemaï, and S. Chebbi,”Voltage Stability Control of Electrical Network using Intelligent Load Shedding Strategy based on Fuzzy Logic”, Hindawi Publishing Corporation, Mathematical Problems in Engineering, Volume 2010, Article ID 341257, 17 pages.

[16] K. Jemaï, ” New Fuzzy Approach for Modeling Random Disturbances”, Journal of Control Science and Engineering, Volume 2, Number 1, P 16-27, February 2014 (Serial Number 2).

[17] A. Ouederni, K. Jemaï, H. Trabelsi, "Modelling and Control of a PMSG-Based Variable Speed Wind Turbine under Unbalanced Conditions", International Journal of Research and Reviews in Electrical and Computer Engineering (IJRRECE), Vol. 2, No. 1, March 2012, ISSN: 2046-5149.

[18] IMPLEMENTING ELECTRIC VEHICLES IN URBAN DISTRIBUTION: A DISCRETE EVENT SIMULATION LEBEAU Philippe, MACHARIS Cathy, VAN MIERLO Joeri, MAES Guillaume
Volume 6 - Issue 1 - Pages 38-47, World Electric Vehicle Journal Vol. 6 - ISSN 2032-6653 - © 2013 WEVA.