Capacity Fade Modeling

Capacity Fade Modeling is a predictive framework that characterizes the gradual loss of battery capacity over time under operational and environmental stresses, distinguishing itself from other state estimation models by focusing specifically on the long-term degradation mechanisms affecting rechargeable batteries.

244

Publications

26.2K

Citations

844

Authors

285

Institutions

Publications per year

2017–2026

131

Authors

844

  1. RE
    Ralph E. White

    University of South Carolina, United States

    10 publications · 4.5K citations

    10

    h-index

  2. BN
    Branko N. Popov

    University of South Carolina, United States

    9 publications · 3.4K citations

    9

    h-index

  3. KS
    Kandler Smith

    National Laboratory of the Rockies, United States

    7 publications · 802 citations

    7

    h-index

  4. VR
    Venkat R. Subramanian

    University of Washington, United States

    6 publications · 365 citations

    6

    h-index

  5. JV
    Joeri Van Mierlo

    Vrije Universiteit Brussel, Belgium

    5 publications · 453 citations

    5

    h-index

1–5 of 844

Venues

  1. Journal of Power Sources

    46 publications · 7.8K citations

    39

    h-index

  2. Journal of The Electrochemical Society

    JES · 41 publications · 7.3K citations

    30

    h-index

  3. Journal of Energy Storage

    12 publications · 451 citations

    12

    h-index

  4. Applied Energy

    9 publications · 931 citations

    8

    h-index

  5. Electrochimica Acta

    7 publications · 332 citations

    7

    h-index

1–5