Motor Parameter Estimation

Motor Parameter Estimation is a systematic analytical process within electric motor drive and traction motor research that identifies and quantifies the intrinsic electrical, magnetic, and mechanical characteristics of a motor model through experimental data, simulation, or online algorithms to enable accurate control, monitoring, and performance prediction.

898

Publications

40.5K

Citations

2.1K

Authors

765

Institutions

Publications per year

2017–2026

216

Variants

Motor Parameter Identification

Authors

2.1K

  1. MB
    Murat Barut

    Niğde Ömer Halisdemir Üniversitesi, Türkiye

    12 publications · 1K citations

    12

    h-index

  2. ZQ
    Z. Q. Zhu

    University of Sheffield, United Kingdom

    13 publications · 1.1K citations

    11

    h-index

  3. KL
    Kan Liu

    Hunan University, China

    11 publications · 994 citations

    11

    h-index

  4. MP
    Marcello Pucci

    Institute of Intelligent Systems for Automation, Italy

    10 publications · 402 citations

    10

    h-index

  5. MC
    Maurizio Cirrincione

    University of the South Pacific, Fiji

    9 publications · 390 citations

    9

    h-index

1–5 of 2.1K

Venues

  1. IEEE Transactions on Industrial Electronics

    80 publications · 8.5K citations

    54

    h-index

  2. IEEE Transactions on Industry Applications

    62 publications · 5.9K citations

    41

    h-index

  3. IEEE Transactions on Power Electronics

    38 publications · 2.8K citations

    33

    h-index

  4. IEEE Transactions on Energy Conversion

    50 publications · 2.8K citations

    33

    h-index

  5. IET Electric Power Applications

    22 publications · 868 citations

    19

    h-index

1–5