Data-driven State Of Charge Estimation

Data-Driven State of Charge Estimation is a state of charge estimation method that relies on empirical data and statistical learning techniques rather than explicit electrochemical or physical models to infer the charge level of a battery.

147

Publications

10.5K

Citations

593

Authors

201

Institutions

Publications per year

2017–2026

130

Authors

593

  1. FS
    Fengchun Sun

    Beijing Institute of Technology, China

    6 publications · 905 citations

    6

    h-index

  2. RX
    Rui Xiong

    Beijing Institute of Technology, China

    5 publications · 877 citations

    5

    h-index

  3. ZD
    Zhongwei Deng

    Chongqing University, China

    4 publications · 847 citations

    4

    h-index

  4. JK
    Jonghoon Kim

    Chungnam National University, South Korea

    4 publications · 107 citations

    4

    h-index

  5. MS
    Molla Shahadat Hossain Lipu

    National University of Malaysia, Malaysia

    3 publications · 473 citations

    3

    h-index

1–5 of 593

Venues

  1. Energy

    20 publications · 2K citations

    17

    h-index

  2. Journal of Energy Storage

    19 publications · 673 citations

    16

    h-index

  3. Journal of Power Sources

    13 publications · 1.8K citations

    11

    h-index

  4. Energies

    9 publications · 322 citations

    9

    h-index

  5. Applied Energy

    6 publications · 739 citations

    6

    h-index

1–5