The aim of this paper is to design an optimal shifting strategy along with an optimal Energy Management System for a parallel Hybrid Electric Vehicle (HEV) to study its potential contribution on fuel economy. The control algorithm will optimize both the power split ratio between the internal combustion engine and the electric machine and also the gear shifting strategy. The global optimal solutions are obtained based on two approaches: Dynamic Programming (DP) and another new method of combining gradient-based optimal control and DP. Simulation results show that, by extra optimizing shifting strategy, 10.3% additional fuel saving can be reached compared to the case of optimizing only power split ratio for a mild parallel HEV. The DP algorithm results in a benchmark of global optimal solutions despite the heavy time consuming method itself. The new proposed algorithm outperforms the DP algorithm in term of computational efficiency meanwhile still attaining the global optimal results.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Optimal shifting strategy for a parallel hybrid electric vehicle


    Contributors:


    Publication date :

    2010


    Size :

    8 Seiten, 12 Bilder, 1 Tabelle, 12 Quellen


    Remarks:

    (nicht paginiert)


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English





    Shifting method and shifting system of hybrid electric vehicle

    ZOU ZHENGJIA / KONG LING AN / LU LIANJUN et al. | European Patent Office | 2015

    Free access

    Study on the Optimization of Shifting Strategy for Hybrid Electric Vehicle

    Zhang, Chen / Yang, Lei / Liu, Xuewu et al. | SAE Technical Papers | 2021


    Hybrid Base and Parallel Hybrid Electric Vehicle Control Strategy

    Yan, Shi Tong | Trans Tech Publications | 2014


    Hybrid electric vehicle gear shifting control method and hybrid electric vehicle

    QIAO YUNQIAN / ZHAI LINGRUI / CHEN GUOTAO et al. | European Patent Office | 2023

    Free access