Turbocharging Modeling

Turbocharging Modeling is a computational methodology within engine modeling that specifically simulates and predicts the performance characteristics of turbocharged internal combustion engines by integrating the thermodynamic and fluid dynamic interactions between the engine and the turbocharger system.

101

Publications

2.6K

Citations

277

Authors

76

Institutions

Publications per year

2017–2026

29

Authors

277

  1. KD
    Kangyao Deng

    Shanghai Jiao Tong University, China

    8 publications · 253 citations

    8

    h-index

  2. JR
    José Ramón Serrano

    Universitat Politècnica de València, Spain

    5 publications · 256 citations

    5

    h-index

  3. RM
    Ricardo Martinez-Botas

    Imperial College London, United Kingdom

    4 publications · 114 citations

    4

    h-index

  4. LS
    Lei Shi

    Shanghai Jiao Tong University, China

    4 publications · 87 citations

    4

    h-index

  5. MY
    Mingyang Yang

    Tsinghua University, China

    4 publications · 185 citations

    4

    h-index

1–5 of 277

Venues

  1. 19

    h-index

  2. MTZ worldwide

    5 publications · 62 citations

    5

    h-index

  3. SAE International Journal of Engines

    5 publications · 200 citations

    5

    h-index

  4. Energy Conversion and Management

    4 publications · 181 citations

    4

    h-index

  5. Applied Thermal Engineering

    4 publications · 266 citations

    4

    h-index

1–5