Battery Aging Models

Battery Aging Models is a computational framework that characterizes the degradation mechanisms of lithium-ion batteries over time by identifying and quantifying the dominant factors influencing capacity fade and impedance rise under varying operational conditions.

915

Publications

77.2K

Citations

3.1K

Authors

799

Institutions

Publications per year

2017–2026

700

Variants

Battery Degradation Models

Authors

3.1K

  1. MO
    Minggao Ouyang

    Tsinghua University, China

    17 publications · 2.6K citations

    17

    h-index

  2. DU
    Dirk Uwe Sauer

    RWTH Aachen University, Germany

    21 publications · 3.4K citations

    17

    h-index

  3. XH
    Xuebing Han

    Tsinghua University, China

    16 publications · 2K citations

    15

    h-index

  4. DS
    Daniel‐Ioan Stroe

    Aalborg University, Denmark

    21 publications · 1.3K citations

    15

    h-index

  5. HD
    Haifeng Dai

    Tongji University, China

    15 publications · 753 citations

    14

    h-index

1–5 of 3.1K

Venues

  1. Journal of Power Sources

    94 publications · 14.6K citations

    59

    h-index

  2. Journal of Energy Storage

    123 publications · 6.5K citations

    47

    h-index

  3. Applied Energy

    55 publications · 7.6K citations

    42

    h-index

  4. Energy

    55 publications · 4.8K citations

    39

    h-index

  5. Journal of The Electrochemical Society

    JES · 32 publications · 3.4K citations

    25

    h-index

1–5