Powertrain Automation

Powertrain Automation is a methodological framework within autonomous vehicle systems that enables the self-regulated control of a tractor’s powertrain components—such as engine, transmission, and drivetrain—through real-time integration of sensor data and decision algorithms to optimize performance, fuel efficiency, and operational accuracy without human intervention.

46

Publications

2.3K

Citations

180

Authors

66

Institutions

Publications per year

2017–2026

17

Authors

180

  1. DQ
    Datong Qin

    Chongqing University, China

    2 publications · 53 citations

    2

    h-index

  2. MB
    Michael Back

    Daimler (Germany), Germany

    2 publications · 95 citations

    2

    h-index

  3. AW
    Andrew West

    Loughborough University, United Kingdom

    2 publications · 69 citations

    2

    h-index

  4. RH
    R. Harrison

    Loughborough University, United Kingdom

    2 publications · 69 citations

    2

    h-index

  5. AS
    Antonio Sciarretta

    IFP Énergies nouvelles, France

    2 publications · 153 citations

    2

    h-index

1–5 of 180

Venues

  1. 8

    h-index

  2. IFAC Proceedings Volumes

    4 publications · 219 citations

    4

    h-index

  3. Control Engineering Practice

    2 publications · 107 citations

    2

    h-index

  4. IEEE Transactions on Vehicular Technology

    2 publications · 26 citations

    2

    h-index

  5. Energy

    3 publications · 91 citations

    2

    h-index

1–5