The driving style comprehensive identification method based on the entropy theory is presented. The error and error proportion of each identification result are calculated. The entropy and the variation degree of the identification error of each identification method are calculated based on the definition of information entropy. According to the entropy and the variation degree of the identification error, the weight of each kind of identification method can be determined in the comprehensive identification method, and the driving style comprehensive identification algorithm is derived. The control strategy of hybrid electric vehicles based on the driving style identification is proposed. The economic control strategy and dynamic control strategy are established. Depending on the results of driving style identification, aiming at different kinds of drivers, the mode of control strategies can be adjusted, so the demands of different kinds of drivers can be satisfied. The hybrid electric vehicle simulation model and control strategy model are built, and the simulations have been done. Due to the simulation results, the drivers’ intention comprehensive identification method based on the entropy theory is proved to represent the driver’s driving style systematically and comprehensively, and the hybrid electric vehicle control strategy based on the driving style identification can make the vehicles satisfy different drivers’ demands.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Control Strategy of Hybrid Electric Vehicles Based on Driving Style Identification



    Erschienen in:

    Advanced Materials Research ; 945-949 ; 1587-1596


    Erscheinungsdatum :

    06.06.2014


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Adaptive Energy Management Strategy Based on Driving Cycle Identification for Hybrid Electric Vehicles

    Deng, Tao / Luo, Junlin / Han, Haishuo et al. | British Library Online Contents | 2018


    Hybrid electric vehicle driving style identification method and system

    LOU DIMING / CHEN ZHILIN / ZHANG YUNHUA et al. | Europäisches Patentamt | 2023

    Freier Zugriff



    Driving Style Identification Strategy Based on DS Evidence Theory

    Wang, Changtai / He, Rui / Zhu, Bing | British Library Conference Proceedings | 2023