Optimal dual-mode hybrid electric vehicle powertrain architecture design for a variety of loading scenarios

Alparslan Emrah Bayrak, Yi Ren, Panos Y. Papalambros

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    16 Scopus citations

    Abstract

    A hybrid-electric vehicle powertrain architecture consists of single or multiple driving modes, i.e., connection arrangements among engine, motors and vehicle output shaft that determine distribution of power. While most architecture development work to date has focused primarily on passenger cars, interest has been growing in exploring architectures for special-purpose vehicles such as vans or trucks for civilian and military applications, whose weights or payloads can vary significantly during operations. Previous findings show that the optimal architecture can be sensitive to vehicle weight. In this paper we investigate architecture design under a distribution of vehicle weights, using a simulation-based design optimization strategy with nested supervisory optimal control and accounting for powertrain complexity. Results show that an architecture under a single load has significant differences and lower fuel efficiency than an architecture designed to work under a variety of loading scenarios.

    Original languageEnglish
    Title of host publication16th International Conference on Advanced Vehicle Technologies; 11th International Conference on Design Education; 7th Frontiers in Biomedical Devices
    ISBN (Electronic)9780791846346
    DOIs
    StatePublished - 2014
    EventASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014 - Buffalo, United States
    Duration: 17 Aug 201420 Aug 2014

    Publication series

    NameProceedings of the ASME Design Engineering Technical Conference
    Volume3

    Conference

    ConferenceASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014
    Country/TerritoryUnited States
    CityBuffalo
    Period17/08/1420/08/14

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