Model-based Energy Path Analysis of Tip-in Maneuvers in a 2WD Vehicle with Range-extender Electric Powertrain Architecture

Raja Mazuir Raja Ahsan Shah, R. Peter Jones, Caizhen Cheng, Alessandro Picarelli, Abd Rashid Abd Aziz, Mansour Al Qubeissi

    Research output: Working paper/PreprintPreprintpeer-review

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    Abstract

    Vehicle driveability is one of the important vehicle attributes in range-extender electric vehicles due to the electric motor torque characteristics at low-speed events. The process of validating and rectifying vehicle driveability attributes is typically utilised by a physical vehicle prototype that can be expensive and required several design iterations. In this paper, a model-based energy method to assess vehicle driveability is presented based on a high-fidelity 49 degree-of-freedom powertrain and vehicle systems. Multibody dynamics components were built according to their true centre of gravity relative to the vehicle datum for providing an accurate system interaction. The work covered a frequency at less than 20 Hz. The results that consisted of the component frequency domination are structured and examined to identify the low-frequency sensitivity based on different operating parameters such as a road surface coefficient. An energy path technique was also implemented on the dominant component by decoupling its compliances to study the effect on the vehicle driveability and low-frequency response. The outcomes of the research provided a good understanding of the interaction across the sub-systems levels. The powertrain rubber mounts were the dominant components that controlled the low-frequency contents (< 15.33 Hz) and can change the vehicle driveability quality.
    Original languageEnglish
    PublisherPreprints.org
    DOIs
    Publication statusPublished - 12 Jul 2021

    Bibliographical note

    This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    Keywords

    • low-frequency
    • energy path analysis
    • powertrain
    • model-based engineering

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