Modelling, Parameter Identification, and Experimental Validation of a Lead Acid Battery Bank Using Evolutionary Algorithms

Modelling, Parameter Identification, and Experimental Validation of a Lead Acid Battery Bank Using Evolutionary Algorithms

Accurate and efficient battery modeling is essential to maximize the performance of isolated energy systems and to extend battery lifetime. This paper proposes a battery model that represents the charging and discharging process of a lead-acid battery bank. This model is validated over real measures...

Full description

Bibliographic Details
Main Authors: H. Eduardo Ariza Chacón, Edison Banguero, Antonio Correcher, Ángel Pérez-Navarro, Francisco Morant
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Energies
Subjects:
modelling
lead-acid battery
parameter identification
genetic algorithms
experimental validation
Online Access:http://www.mdpi.com/1996-1073/11/9/2361

Internet

http://www.mdpi.com/1996-1073/11/9/2361

Similar Items