Drivability Optimization

Drivability Optimization is a systematic methodology within internal combustion engine integration that enhances vehicle performance and responsiveness by refining engine control strategies to ensure smooth, predictable, and consistent power delivery under diverse operating conditions.

31

Publications

1K

Citations

125

Authors

53

Institutions

Publications per year

2017–2026

8

Authors

125

  1. HP
    Huei Peng

    University of Michigan, United States

    3 publications · 88 citations

    3

    h-index

  2. SA
    Seiya Abe

    Kyushu University, Japan

    2 publications · 146 citations

    2

    h-index

  3. NB
    Norman Bucknor

    General Motors (United States), United States

    2 publications · 78 citations

    2

    h-index

  4. IO
    Ichiro Omura

    Toshiba (Japan), Japan

    2 publications · 146 citations

    2

    h-index

  5. MT
    Makoto Takamiya

    The University of Tokyo, Japan

    2 publications · 146 citations

    2

    h-index

1–5 of 125

Venues

  1. 3

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  2. 2

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  3. 1

    h-index

  4. Journal of Circuits Systems and Computers

    JCSC · 1 publications · 25 citations

    1

    h-index

  5. 1

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1–5