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:: Volume 1, Issue 2 (1-2014) ::
JNSEE 2014, 1(2): 34-44 Back to browse issues page
Optimization of control strategy in hybrid electric vehicles considering emission standard of Euro3
Safiye Sheikhalishahi Ms1, Sajjad Aghasizade Shaarbaf Mr1, Mehdi Mirzaei Dr * , Rahim Khoshbakhti Saray Dr1
1- Tabriz - Sahand new Town - Po. Box: 51335-1996
Sahand University of Technology, Tabriz - Sahand new Town - Po. Box: 51335-1996 , mirzaei@sut.ac.ir
Abstract:   (7898 Views)
The control strategy in hybrid electric vehicles (HEV) determines the energy management between an internal combustion (IC) engine and an electric machine to generate the power required to drive the vehicle. In this study, the parameters of an electric assist control strategy of HEV, which is used in ADVISOR software, are optimized by minimizing the fuel consumption while maintaining the engine emissions below the Euro3 standard. In this way, a parallel HEV has been simulated in two drive cycles and the optimal parameters of controller are obtained by the genetic algorithm (GA). The simulation results show that by optimizing the control parameters, the fuel consumption decreases while satisfying the Euro3 standards and other constraints in various drive cycles. Also, different values for optimal parameters have been extracted. This indicates that the optimal parameters of the controller are dependent on the drive cycle.
Keywords: hybrid electric vehicle, nonlinear model, controller optimization, genetic algorithm, fuel consumption, emission standard
Full-Text [PDF 311 kb]   (2173 Downloads)    
Type of Study: Research | Subject: Control Applications
Received: 2013/04/27 | Accepted: 2013/08/18 | Published: 2014/01/5
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Sheikhalishahi S, Aghasizade Shaarbaf S, Mirzaei M, Khoshbakhti Saray R. Optimization of control strategy in hybrid electric vehicles considering emission standard of Euro3. JNSEE. 2014; 1 (2) :34-44
URL: http://jnsee.sut.ac.ir/article-1-35-en.html


Volume 1, Issue 2 (1-2014) Back to browse issues page
سامانه های غیرخطی در مهندسی برق Journal of Nonlinear Systems in Electrical Engineering
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