Concepedia

Neural Network-based Estimation

Neural Network-Based Estimation is a state of charge estimation method that employs artificial neural networks to model nonlinear battery dynamics and predict the state of charge from input variables such as voltage, current, and temperature.

1.5K

Publications

131.6K

Citations

4.8K

Authors

1.5K

Institutions

Publications per year

2017–2026

870

Parents

Publications

1.5K

Highly accurate protein structure prediction with AlphaFold

John Jumper, Alexander Pritzel, Tim Green et al. · Nature · 2021 · 45.2K citations · Full text

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Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries

Ephrem Chemali, Phillip J. Kollmeyer, Matthias Preindl et al. · IEEE Transactions on Industrial Electronics · 2017 · 845 citations

, , +17

Importance of input data normalization for the application of neural networks to complex industrial problems

J. Solà, J. Sevilla · IEEE Transactions on Nuclear Science · 1997 · 842 citations

, , +15

State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach

Ephrem Chemali, Phillip J. Kollmeyer, Matthias Preindl et al. · Journal of Power Sources · 2018 · 791 citations

, , +17

State of Charge and State of Health Estimation for Lithium Batteries Using Recurrent Neural Networks

Hicham Chaoui, Chinemerem Christopher Ibe-Ekeocha · IEEE Transactions on Vehicular Technology · 2017 · 555 citations

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1–5 of 1.5K

Authors

4.8K

  1. MA
    M. A. Hannan

    National University of Malaysia, Malaysia

    15 publications · 1.7K citations

    14

    h-index

  2. MS
    Molla Shahadat Hossain Lipu

    National University of Malaysia, Malaysia

    13 publications · 1.7K citations

    13

    h-index

  3. AE
    Ali Emadi

    McMaster University, Canada

    11 publications · 2.6K citations

    11

    h-index

  4. WS
    Weixiang Shen

    Swinburne University of Technology, Australia

    11 publications · 1.6K citations

    11

    h-index

  5. RX
    Rui Xiong

    Beijing Institute of Technology, China

    10 publications · 1.6K citations

    10

    h-index

1–5 of 4.8K

Institutions

1.5K

  1. Beijing Institute of Technology

    Beijing, China

    25 h-index

    100 publications

    10.2K citations

  2. Chinese Academy of Sciences

    Beijing, China

    22 h-index

    60 publications

    5.7K citations

  3. Tsinghua University

    Beijing, China

    19 h-index

    62 publications

    3.9K citations

  4. University of Tehran

    Tehran, Iran

    17 h-index

    40 publications

    2.2K citations

  5. Xi'an Jiaotong University

    Xi'an, China

    16 h-index

    44 publications

    3.9K citations

  6. Harbin Institute of Technology

    Harbin, China

    16 h-index

    39 publications

    2K citations

  7. Chongqing University

    Chongqing, China

    15 h-index

    29 publications

    3K citations

  8. Aalborg University

    Aalborg, Denmark

    14 h-index

    44 publications

    2.7K citations

1–8 of 1.5K

Venues

  1. Energy

    57 publications · 7.2K citations

    46

    h-index

  2. Journal of Energy Storage

    79 publications · 6K citations

    46

    h-index

  3. Energies

    40 publications · 1.8K citations

    26

    h-index

  4. IEEE Access

    36 publications · 2.5K citations

    25

    h-index

  5. Applied Energy

    27 publications · 3.9K citations

    23

    h-index

1–5