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

Research output: Chapter in Book/Report/Conference proceeding › Paper (Conference contribution) › peer-review

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’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.

Original language	English
Title of host publication	Advances and Applications in Computer Science, Electronics and Industrial Engineering -Proceedings of the Conference on Computer Science, Electronics and Industrial Engineering CSEI 2019
Editors	Jyrki Nummenmaa, Federico Pérez-González, Bruno Domenech-Lega, Jean Vaunat, Félix Oscar Fernández-Peña
Publisher	Springer
Pages	168-183
Number of pages	16
ISBN (Print)	9783030336134
DOIs	https://doi.org/10.1007/978-3-030-33614-1_12
State	Published - 1 Jan 2020
Event	1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019 - Ambato, Ecuador Duration: 28 Oct 2019 → 31 Oct 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1078
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	1st International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2019
Country	Ecuador
City	Ambato
Period	28/10/19 → 31/10/19

Keywords

Battery charger
Controller
Fuzzy logic

Access to Document

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

Link to publication in Scopus

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1 Finished

Design and construction of an autonomous water treatment unit based on ferrate (VI) ions powered by photovoltaic panels
Quino Favero, J. M., Paredes Larroca, F. H., Saettone Olschewski, E. A. & Eyzaguirre Pérez, R.
1/04/19 → 31/03/20
Project: Research

Cite this

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. In 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 ; Rosales Huamaní, Jimmy ; Castillo Sequera, José Luis. / 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).

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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.",

keywords = "Battery charger, Controller, Fuzzy logic",

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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. in 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; Rosales Huamaní, Jimmy; Castillo Sequera, José Luis.

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).

Research output: Chapter in Book/Report/Conference proceeding › Paper (Conference contribution) › peer-review

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AU - Paredes Larroca, Fabricio

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AU - Rosales Huamaní, Jimmy

AU - Castillo Sequera, José Luis

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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.

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

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Y2 - 28 October 2019 through 31 October 2019

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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. In Nummenmaa J, Pérez-González F, Domenech-Lega B, Vaunat J, Oscar Fernández-Peña F, editors, 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). 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

Abstract

Publication series

Conference

Keywords

Access to Document

Design and construction of an autonomous water treatment unit based on ferrate (VI) ions powered by photovoltaic panels

Cite this