Modelling Li-ion batteries using equivalent circuits for renewable energy applications

被引:18
|
作者
Navas, Sergio J. [1 ,2 ]
Gonzalez, G. M. Cabello [1 ,2 ]
Pino, F. J. [2 ]
Guerra, J. J. [2 ]
机构
[1] Univ Seville, Escuela Tecn Super Ingn, AICIA Thermal Engn Grp, Camino Descubrimientos S-N, Seville 41092, Spain
[2] Univ Seville, Escuela Tecn Super Ingn, Dept Ingn Energet, Camino Descubrimientos S-N, Seville 41092, Spain
关键词
Smart grid; Energy management; Li-ion battery; Energy storage; Modelling; Experimental; STATE-OF-CHARGE; POWER CAPABILITY; NEURAL-NETWORKS; SOC ESTIMATION; IMPLEMENTATION; IDENTIFICATION; STRATEGIES; MANAGEMENT; PARAMETER; TIME;
D O I
10.1016/j.egyr.2023.03.103
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
During the last decades, environmental policies have advanced the promotion of renewable energy sources, opening a market for smart-grids both connected and disconnected from the main electrical grid. In the field of renewable energies, such as solar or wind ones, batteries are an essential component since they allow to easily store the energy excess that can be dispensed during periods of scarcity of these sources. This paper presents a dynamic Li-ion battery model for renewable purposes based on an electrical equivalent circuit model. This model takes into account both charge and discharge processes using the same equation, while most models found in the literature only contemplate the discharge process. Several tests were carried out in an experimental micro-grid bench at different state of charge to adjust the model parameters including the non-linear relation between the state of charge and the open circuit voltage. Finally, different experiments were performed to experimentally validate the model. The model predicts, with a low error, the battery voltage as well as the state of charge.(c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:4456 / 4465
页数:10
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