Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries

Fabricio Paredes Larroca; Erich Saettone Olschewski; Javier Quino Favero; Jimmy Rosales Huamaní; José Luis Castillo Sequera

doi:10.1007/978-3-030-33614-1_12

Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries

Fabricio Paredes Larroca
, Erich Saettone Olschewski
, Javier Quino Favero
, Jimmy Rosales Huamaní
, José Luis Castillo Sequera

Producción científica: Capítulo del libro/informe/acta de congreso › Articulo (Contribución a conferencia) › revisión exhaustiva

2 Citas (Scopus)

Resumen

The design and implementation of a solar charge controller for lead–acid batteries is intended to supplement a component of the water purification module of the water treatment unit for natural disaster relief. This unit contains a solar panel system that supplies power to the module by charging batteries through a controller comprising an Atmega 328 processor. The solar panel feeds voltage to the batteries through fuzzy logic-based software, which allows up to 6 A DC to pass through the controller’s power circuit. Consequently, the battery was charged in less time (an average of 7 h to reach maximum capacity), wherein battery lifespan is related to the charge wave frequency. Thus, our software may be adapted in different control algorithms without having to change hardware.

Idioma original	Inglés
Título de la publicación alojada	Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019
Editores	Jyrki Nummenmaa, Federico Pérez-González, Bruno Domenech-Lega, Jean Vaunat, Félix Oscar Fernández-Peña
Editorial	Springer
Páginas	168-183
Número de páginas	16
ISBN (versión impresa)	9783030336134
DOI	https://doi.org/10.1007/978-3-030-33614-1_12
Estado	Publicada - 1 ene. 2020
Evento	1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019 - Ambato, Ecuador Duración: 28 oct. 2019 → 31 oct. 2019

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1078
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019
País/Territorio	Ecuador
Ciudad	Ambato
Período	28/10/19 → 31/10/19

Acceder al documento

10.1007/978-3-030-33614-1_12

Otros archivos y enlaces

Diseño y construcción de una unidad de tratamiento de agua autónoma basada en iones ferrato(VI) energizada por paneles fotovoltaicos
Quino Favero, J. M. (Investigador principal), Paredes Larroca, F. H. (Investigador adjunto), Saettone Olschewski, E. A. (Investigador adjunto) & Eyzaguirre Pérez, R. (Investigador adjunto)
1/04/19 → 31/03/20
Proyecto: Investigación

Citar esto

Paredes Larroca, F., Saettone Olschewski, E., Quino Favero, J., Rosales Huamaní, J., & Castillo Sequera, J. L. (2020). Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. En J. Nummenmaa, F. Pérez-González, B. Domenech-Lega, J. Vaunat, & F. Oscar Fernández-Peña (Eds.), Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019 (pp. 168-183). (Advances in Intelligent Systems and Computing; Vol. 1078). Springer. https://doi.org/10.1007/978-3-030-33614-1_12

Paredes Larroca, Fabricio ; Saettone Olschewski, Erich ; Quino Favero, Javier et al. / Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019. editor / Jyrki Nummenmaa ; Federico Pérez-González ; Bruno Domenech-Lega ; Jean Vaunat ; Félix Oscar Fernández-Peña. Springer, 2020. pp. 168-183 (Advances in Intelligent Systems and Computing).

@inproceedings{715903ee011846358fe8d7629d48e004,

title = "Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries",

abstract = "The design and implementation of a solar charge controller for lead–acid batteries is intended to supplement a component of the water purification module of the water treatment unit for natural disaster relief. This unit contains a solar panel system that supplies power to the module by charging batteries through a controller comprising an Atmega 328 processor. The solar panel feeds voltage to the batteries through fuzzy logic-based software, which allows up to 6 A DC to pass through the controller{\textquoteright}s power circuit. Consequently, the battery was charged in less time (an average of 7 h to reach maximum capacity), wherein battery lifespan is related to the charge wave frequency. Thus, our software may be adapted in different control algorithms without having to change hardware.",

author = "\{Paredes Larroca\}, Fabricio and \{Saettone Olschewski\}, Erich and \{Quino Favero\}, Javier and \{Rosales Huaman{\'i}\}, Jimmy and \{Castillo Sequera\}, \{Jos{\'e} Luis\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019 ; Conference date: 28-10-2019 Through 31-10-2019",

year = "2020",

month = jan,

day = "1",

doi = "10.1007/978-3-030-33614-1\_12",

language = "Ingl{\'e}s",

isbn = "9783030336134",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "168--183",

editor = "Jyrki Nummenmaa and Federico P{\'e}rez-Gonz{\'a}lez and Bruno Domenech-Lega and Jean Vaunat and \{Oscar Fern{\'a}ndez-Pe{\~n}a\}, F{\'e}lix",

booktitle = "Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019",

}

Paredes Larroca, F , Saettone Olschewski, E , Quino Favero, J, Rosales Huamaní, J & Castillo Sequera, JL 2020, Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. En J Nummenmaa, F Pérez-González, B Domenech-Lega, J Vaunat & F Oscar Fernández-Peña (eds.), Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019. Advances in Intelligent Systems and Computing, vol. 1078, Springer, pp. 168-183, 1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019, Ambato, Ecuador, 28/10/19. https://doi.org/10.1007/978-3-030-33614-1_12

Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. / Paredes Larroca, Fabricio ; Saettone Olschewski, Erich ; Quino Favero, Javier et al.
Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019. ed. / Jyrki Nummenmaa; Federico Pérez-González; Bruno Domenech-Lega; Jean Vaunat; Félix Oscar Fernández-Peña. Springer, 2020. p. 168-183 (Advances in Intelligent Systems and Computing; Vol. 1078).

Producción científica: Capítulo del libro/informe/acta de congreso › Articulo (Contribución a conferencia) › revisión exhaustiva

TY - GEN

T1 - Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries

AU - Paredes Larroca, Fabricio

AU - Saettone Olschewski, Erich

AU - Quino Favero, Javier

AU - Rosales Huamaní, Jimmy

AU - Castillo Sequera, José Luis

PY - 2020/1/1

Y1 - 2020/1/1

N2 - The design and implementation of a solar charge controller for lead–acid batteries is intended to supplement a component of the water purification module of the water treatment unit for natural disaster relief. This unit contains a solar panel system that supplies power to the module by charging batteries through a controller comprising an Atmega 328 processor. The solar panel feeds voltage to the batteries through fuzzy logic-based software, which allows up to 6 A DC to pass through the controller’s power circuit. Consequently, the battery was charged in less time (an average of 7 h to reach maximum capacity), wherein battery lifespan is related to the charge wave frequency. Thus, our software may be adapted in different control algorithms without having to change hardware.

AB - The design and implementation of a solar charge controller for lead–acid batteries is intended to supplement a component of the water purification module of the water treatment unit for natural disaster relief. This unit contains a solar panel system that supplies power to the module by charging batteries through a controller comprising an Atmega 328 processor. The solar panel feeds voltage to the batteries through fuzzy logic-based software, which allows up to 6 A DC to pass through the controller’s power circuit. Consequently, the battery was charged in less time (an average of 7 h to reach maximum capacity), wherein battery lifespan is related to the charge wave frequency. Thus, our software may be adapted in different control algorithms without having to change hardware.

UR - https://hdl.handle.net/20.500.12724/9931

UR - https://www.scopus.com/pages/publications/85076221480

UR - https://www.mendeley.com/catalogue/dadc44dc-88a5-35bd-9226-e74c75fa8426/

U2 - 10.1007/978-3-030-33614-1_12

DO - 10.1007/978-3-030-33614-1_12

M3 - Articulo (Contribución a conferencia)

AN - SCOPUS:85076221480

SN - 9783030336134

T3 - Advances in Intelligent Systems and Computing

SP - 168

EP - 183

BT - Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019

A2 - Nummenmaa, Jyrki

A2 - Pérez-González, Federico

A2 - Domenech-Lega, Bruno

A2 - Vaunat, Jean

A2 - Oscar Fernández-Peña, Félix

PB - Springer

T2 - 1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019

Y2 - 28 October 2019 through 31 October 2019

ER -

Paredes Larroca F , Saettone Olschewski E , Quino Favero J, Rosales Huamaní J, Castillo Sequera JL. Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries. En Nummenmaa J, Pérez-González F, Domenech-Lega B, Vaunat J, Oscar Fernández-Peña F, editores, Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019. Springer. 2020. p. 168-183. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-33614-1_12

Development of a Fuzzy Logic-Based Solar Charge Controller for Charging Lead–Acid Batteries

Resumen

Serie de la publicación

Conferencia

Acceder al documento

Otros archivos y enlaces

Huella

Proyectos

Diseño y construcción de una unidad de tratamiento de agua autónoma basada en iones ferrato(VI) energizada por paneles fotovoltaicos

Citar esto