Model Predictive Thermal Control

Model Predictive Thermal Control is a model-based control strategy within battery thermal management that, as a predictive regulation method, utilizes dynamic models and real-time state estimation to optimize cooling or heating inputs over a receding horizon while adhering to system constraints and performance objectives.

301

Publications

14.2K

Citations

940

Authors

338

Institutions

Publications per year

2017–2026

165

Authors

940

  1. AG
    Andrew G. Alleyne

    University of Illinois Urbana-Champaign, United States

    6 publications · 171 citations

    6

    h-index

  2. JS
    Jing Sun

    University of Michigan, United States

    6 publications · 422 citations

    6

    h-index

  3. QH
    Qiuhao Hu

    University of Michigan, United States

    5 publications · 182 citations

    5

    h-index

  4. IK
    Ilya Kolmanovsky

    University of Michigan, United States

    5 publications · 314 citations

    5

    h-index

  5. EF
    Eduardo F. Camacho

    Universidad de Sevilla, Spain

    5 publications · 139 citations

    5

    h-index

1–5 of 940

Venues

  1. Energy and Buildings

    23 publications · 1.6K citations

    21

    h-index

  2. Energy

    18 publications · 735 citations

    18

    h-index

  3. Applied Energy

    18 publications · 1.4K citations

    16

    h-index

  4. IEEE Transactions on Control Systems Technology

    13 publications · 680 citations

    12

    h-index

  5. Applied Thermal Engineering

    9 publications · 396 citations

    9

    h-index

1–5