A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems
by
Edison Banguero 1,*, Antonio Correcher 1
, Ángel Pérez-Navarro 2, Francisco Morant 1 and Andrés Aristizabal 3
, Ángel Pérez-Navarro 2, Francisco Morant 1 and Andrés Aristizabal 3
1
Instituto de Automática e Informática Industrial, Universitat Politècnica de València, Camino de Vera, s/n, 46022 Valencia, Spain
2
Instituto Universitario de Ingeniería Energética, Universitat Politècnica de València; Camino de Vera, s/n, 46022 Valencia, Spain
3
Engineering Department, Universidad de Bogotá Jorge Tadeo Lozano, Carrera 4 # 22-61, 34185 Bogotá D.C., Colombia
*
Author to whom correspondence should be addressed.
Energies 2018, 11(4), 1021; https://doi.org/10.3390/en11041021
Received: 23 March 2018 / Revised: 17 April 2018 / Accepted: 18 April 2018 / Published: 23 April 2018
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.
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Keywords:
energy storage; battery; control; energy management systems; fuzzy logic control; model predictive control
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MDPI and ACS Style
Banguero, E.; Correcher, A.; Pérez-Navarro, Á.; Morant, F.; Aristizabal, A. A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems. Energies 2018, 11, 1021.
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