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A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

Author

Listed:
  • Edison Banguero

    (Instituto de Automática e Informática Industrial, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain)

  • Antonio Correcher

    (Instituto de Automática e Informática Industrial, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain)

  • Ángel Pérez-Navarro

    (Instituto Universitario de Ingeniería Energética, Universitat Politècnica de València; Camino de Vera, s/n, 46022 Valencia, Spain)

  • Francisco Morant

    (Instituto de Automática e Informática Industrial, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain)

  • Andrés Aristizabal

    (Engineering Department, Universidad de Bogotá Jorge Tadeo Lozano, Carrera 4 # 22-61, 34185 Bogotá D.C., Colombia)

Abstract

Energy storage has become a fundamental component in renewable energy systems, especially those including batteries. However, in charging and discharging processes, some of the parameters are not controlled by the battery’s user. That uncontrolled working leads to aging of the batteries and a reduction of their life cycle. Therefore, it causes an early replacement. Development of control methods seeks battery protection and a longer life expectancy, thus the constant-current–constant-voltage method is mostly used. However, several studies show that charging time can be reduced by using fuzzy logic control or model predictive control. Another benefit is temperature control. This paper reviews the existing control methods used to control charging and discharging processes, focusing on their impacts on battery life. Classical and modern methods are studied together in order to find the best approach to real systems.

Suggested Citation

  • Edison Banguero & Antonio Correcher & Ángel Pérez-Navarro & Francisco Morant & Andrés Aristizabal, 2018. "A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems," Energies, MDPI, vol. 11(4), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:1021-:d:142725
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    References listed on IDEAS

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    2. Gulam Smdani & Muhammad Remanul Islam & Ahmad Naim Ahmad Yahaya & Sairul Izwan Bin Safie, 2023. "Performance Evaluation Of Advanced Energy Storage Systems: A Review," Energy & Environment, , vol. 34(4), pages 1094-1141, June.
    3. H. Eduardo Ariza Chacón & Edison Banguero & Antonio Correcher & Ángel Pérez-Navarro & Francisco Morant, 2018. "Modelling, Parameter Identification, and Experimental Validation of a Lead Acid Battery Bank Using Evolutionary Algorithms," Energies, MDPI, vol. 11(9), pages 1-14, September.
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    6. Han, Seungyun & Kobla Tagayi, Roland & Kim, Jaewon & Kim, Jonghoon, 2022. "Adaptive deterministic approach for optimized sizing of high-energy battery system applied in electric-powered application," Applied Energy, Elsevier, vol. 309(C).
    7. Jamiu O. Oladigbolu & Asad Mujeeb & Amir A. Imam & Ali Muhammad Rushdi, 2022. "Design, Technical and Economic Optimization of Renewable Energy-Based Electric Vehicle Charging Stations in Africa: The Case of Nigeria," Energies, MDPI, vol. 16(1), pages 1-32, December.

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