25 August 2023
Energies | Top 10 Cited Papers in 2021 in the Section “Energy Storage and Application”

  1. “Green Concrete Based on Quaternary Binders with Significant Reduced of CO2 Emissions”
    by Grzegorz Ludwik Golewski
    Energies 2021, 14(15), 4558; https://doi.org/10.3390/en14154558
    Available online: https://www.mdpi.com/1996-1073/14/15/4558
  1. “Molten Salts for Sensible Thermal Energy Storage: A Review and an Energy Performance Analysis”
    by Adrián Caraballo, Santos Galán-Casado, Ángel Caballero and Sara Serena
    Energies 2021, 14(4), 1197; https://doi.org/10.3390/en14041197
    Available online: https://www.mdpi.com/1996-1073/14/4/1197
  1. “Progress in Material Development for Low-Temperature Solid Oxide Fuel Cells: A Review”
    by Mohsen Fallah Vostakola and Bahman Amini Horri
    Energies 2021, 14(5), 1280; https://doi.org/10.3390/en14051280
    Available online: https://www.mdpi.com/1996-1073/14/5/1280
  1. “Estimation of the Compressive Strength of Corrugated Cardboard Boxes with Various Perforations”
    by Tomasz Garbowski, Tomasz Gajewski and Jakub Krzysztof Grabski
    Energies 2021, 14(4), 1095; https://doi.org/10.3390/en14041095
    Available online: https://www.mdpi.com/1996-1073/14/4/1095
  1. “Present and Future of Supercapacitor Technology Applied to Powertrains, Renewable Generation and Grid Connection Applications”
    by Gustavo Navarro, Jorge Torres, Marcos Blanco, Jorge Nájera, Miguel Santos-Herran and Marcos Lafoz
    Energies 2021, 14(11), 3060; https://doi.org/10.3390/en14113060
    Available online: https://www.mdpi.com/1996-1073/14/11/3060
  1. “Power-to-Gas and Power-to-X—The History and Results of Developing a New Storage Concept”
    by Michael Sterner and Michael Specht
    Energies 2021, 14(20), 6594; https://doi.org/10.3390/en14206594
    Available online: https://www.mdpi.com/1996-1073/14/20/6594
  1. “State-of-Charge Estimation of Lithium-Ion Batteries in the Battery Degradation Process Based on Recurrent Neural Network”
    by Shuqing Li, Chuankun Ju, Jianliang Li, Ri Fang, Zhifei Tao, Bo Li and Tingting Zhang
    Energies 2021, 14(2), 306; https://doi.org/10.3390/en14020306
    Available online: https://www.mdpi.com/1996-1073/14/2/306
  1. “Design of an Effective State of Charge Estimation Method for a Lithium-Ion Battery Pack Using Extended Kalman Filter and Artificial Neural Network”
    by Van Quan Dao, Minh-Chau Dinh, Chang Soon Kim, Minwon Park, Chil-Hoon Doh, Jeong Hyo Bae, Myung-Kwan Lee, Jianyong Liu and Zhiguo Bai
    Energies 2021, 14(9), 2634; https://doi.org/10.3390/en14092634
    Available online: https://www.mdpi.com/1996-1073/14/9/2634
  1. “Implementing an Extended Kalman Filter for SoC Estimation of a Li-Ion Battery with Hysteresis: A Step-by-Step Guide”
    by Benedikt Rzepka, Simon Bischof and Thomas Blank
    Energies 2021, 14(13), 3733; https://doi.org/10.3390/en14133733
    Available online: https://www.mdpi.com/1996-1073/14/13/3733
  1. “Inhomogeneities and Cell-to-Cell Variations in Lithium-Ion Batteries, a Review”
    by David Beck, Philipp Dechent, Mark Junker, Dirk Uwe Sauer and Matthieu Dubarry
    Energies 2021, 14(11), 3276; https://doi.org/10.3390/en14113276
    Available online: https://www.mdpi.com/1996-1073/14/11/3276

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