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    A modified control strategy for parallel hybrid electric vehicles equipped with continuously variable transmission

    , Article Scientia Iranica ; Volume 23, Issue 3 , 2016 , Pages 966-975 ; 10263098 (ISSN) Delkhosh, M ; Foumani, M. S ; Falahati, F ; Sharif University of Technology
    Sharif University of Technology  2016
    Abstract
    This paper aims to establish a control strategy for parallel hybrid electric vehicles equipped with full-toroidal Continuously Variable Transmission (CVT). First, the advantages of CVT are elucidated. Afterwards, a modified control strategy on the base of Baseline static Control Strategy (BCS) is proposed. Employing this strategy, in some moments, the engine operates in its fuel-optimal point to decrease the vehicle Fuel Consumption (FC). It is demonstrated that the modifications in BCS are applicable using a CVT as the power train. In order to investigate the implemented modification, an optimization on the proposed control strategy and BCS in SC03 driving cycle is accomplished and then,... 

    Geometrical optimization of half toroidal continuously variable transmission using particle swarm optimization

    , Article Scientia Iranica ; Volume 18, Issue 5 , 2011 , Pages 1126-1132 ; 10263098 (ISSN) Delkhosh, M ; Saadat Foumani, M ; Boroushaki, M ; Ekhtiari, M ; Dehghani, M ; Sharif University of Technology
    Abstract
    The objective of this research is geometrical optimization of half toroidal Continuously Variable Transmission (CVT) in order to achieve high power transmission efficiency. The dynamic analysis of CVT is implemented and contact between the disk and the roller is modeled viaelastohydrodynamic (EHL) lubrication principles. Computer model is created using geometrical, thermal and kinetic parameters to determine the efficiency of CVT. Results are compared by other models to confirm the model validity. Geometrical parameters are obtained by means of Particle Swarm Optimization (PSO) algorithm, while the optimization objective is to maximize the power transmission efficiency. Optimization was...