System-level Optimization

System-Level Optimization is a systematic methodology that integrates and concurrently refines the design, control, and performance of interdependent subsystems within an electric vehicle powertrain to achieve globally optimal trade-offs across competing objectives such as efficiency, cost, and drivability.

621

Publications

30.7K

Citations

2.1K

Authors

680

Institutions

Publications per year

2017–2026

285

Variants

System Level Optimization

Authors

2.1K

  1. JS
    Jaroslaw Sobieszczanski‐Sobieski

    Langley Research Center, United States

    11 publications · 1.3K citations

    11

    h-index

  2. GL
    Gang Lei

    University of Technology Sydney, Australia

    10 publications · 1K citations

    10

    h-index

  3. JZ
    Jianguo Zhu

    University of Technology Sydney, Australia

    10 publications · 1K citations

    10

    h-index

  4. YG
    Youguang Guo

    University of Technology Sydney, Australia

    9 publications · 1K citations

    9

    h-index

  5. TH
    Théo Hofman

    Eindhoven University of Technology, Netherlands

    7 publications · 466 citations

    7

    h-index

1–5 of 2.1K

Venues

  1. Applied Energy

    21 publications · 2.1K citations

    18

    h-index

  2. Energy

    22 publications · 928 citations

    17

    h-index

  3. IEEE Transactions on Vehicular Technology

    16 publications · 1.1K citations

    15

    h-index

  4. AIAA Journal

    10 publications · 1.2K citations

    10

    h-index

  5. Structural and Multidisciplinary Optimization

    10 publications · 431 citations

    10

    h-index

1–5