The quality of the powertrain design has a significant impact on the fuel consumption and emissions of hybrid vehicles. Lack of experience with these relatively new technologies, the enormous variety of hybrid powertrain configurations, and the multitude of components make this area an ideal application for computer-based modeling and optimizations. Global optimization techniques have the advantage to explore systematically the design space to find the optimal configuration space. In this paper, a systematic procedure for an optimal design of hybrid powertrain configurations using an evolutionary algorithm is proposed. It will be shown that the design steps for parallel and power-split configurations are quite similar. This results in a computing approach with high synergy effects and the ability to exchange components seamless to compare different ‘virtual’ configurations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimal Design Strategies for Different Hybrid Powertrain Configurations Assessed with European Drive Cycles


    Additional title:

    Sae Technical Papers



    Conference:

    SAE 2013 World Congress & Exhibition ; 2013



    Publication date :

    2013-04-08




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Optimal Design of Hybrid Powertrain Configurations

    Böhme, Thomas J. / Frank, Benjamin | Springer Verlag | 2017


    CONTROL STRATEGIES FOR HYBRID ELECTRIC POWERTRAIN CONFIGURATIONS WITH A BALL VARIATOR

    KUMAR KRISHNA | European Patent Office | 2017

    Free access

    Generic Representations for Hybrid Powertrain Configurations

    Kim, Namwook / Zheng, Chunhua / Jeong, Jongryeol et al. | Springer Verlag | 2021


    Improving System Design of a Hybrid Powertrain Using Stochastic Drive Cycles and Dynamic Programming

    Angervall, David / Johannesson, Lars / Åsbogård, Mattias et al. | SAE Technical Papers | 2007


    Improving System Design of a Hybrid Powertrain Using Stochastic Drive Cycles and Dynamic Programming

    Asbogard, M. / Johannesson, L. / Angervall, D. et al. | British Library Conference Proceedings | 2007