Intelligent fuzzy logic controller for a solar charging system

Cong Hui Huang; Chung Chi Huang; Ting Chia Ou; Kai Hung Lu; Chih Ming Hong

doi:10.1109/AIM.2009.5229853

Intelligent fuzzy logic controller for a solar charging system

Cong Hui Huang
, Chung Chi Huang
, Ting Chia Ou
, Kai Hung Lu
, Chih Ming Hong

Program on Smart and Sustainable Manufacturing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

This paper presents an intelligent solar charging system with fuzzy logic control method. With the scarce energy source and the worsening environmental pollution, how to create and use a clean and never exhausted energy is becoming very important day by day. This solar charging system is composed of a solar cell, a charger, batteries, a buck converter and a digital signal processor. In the meantime, it also combines the fuzzy logic method with the tactics of charging to improve the efficiency of charging, suppress the abnormal battery temperature rise, lengthen the battery's life, and reduce the waste used. Finally, experimental and simulation results are shown to demonstrate the effectiveness and validity of the system.

Original language	English
Title of host publication	2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
Pages	1412-1417
Number of pages	6
DOIs	https://doi.org/10.1109/AIM.2009.5229853
Publication status	Published - 2009
Event	2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 - Singapore, Singapore Duration: 2009 Jul 14 → 2009 Jul 17

Publication series

Name	IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

Other

Other	2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009
Country/Territory	Singapore
City	Singapore
Period	09-07-14 → 09-07-17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Software
Electrical and Electronic Engineering
Control and Systems Engineering
Computer Science Applications

Access to Document

10.1109/AIM.2009.5229853

Cite this

Huang, C. H., Huang, C. C., Ou, T. C., Lu, K. H., & Hong, C. M. (2009). Intelligent fuzzy logic controller for a solar charging system. In 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 (pp. 1412-1417). Article 5229853 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM). https://doi.org/10.1109/AIM.2009.5229853

@inproceedings{42e7a08210884223b446a0a2d39caedd,

title = "Intelligent fuzzy logic controller for a solar charging system",

abstract = "This paper presents an intelligent solar charging system with fuzzy logic control method. With the scarce energy source and the worsening environmental pollution, how to create and use a clean and never exhausted energy is becoming very important day by day. This solar charging system is composed of a solar cell, a charger, batteries, a buck converter and a digital signal processor. In the meantime, it also combines the fuzzy logic method with the tactics of charging to improve the efficiency of charging, suppress the abnormal battery temperature rise, lengthen the battery's life, and reduce the waste used. Finally, experimental and simulation results are shown to demonstrate the effectiveness and validity of the system.",

author = "Huang, \{Cong Hui\} and Huang, \{Chung Chi\} and Ou, \{Ting Chia\} and Lu, \{Kai Hung\} and Hong, \{Chih Ming\}",

year = "2009",

doi = "10.1109/AIM.2009.5229853",

language = "English",

isbn = "9781424428533",

series = "IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM",

pages = "1412--1417",

booktitle = "2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009",

note = "2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009 ; Conference date: 14-07-2009 Through 17-07-2009",

}

Huang, CH, Huang, CC, Ou, TC, Lu, KH & Hong, CM 2009, Intelligent fuzzy logic controller for a solar charging system. in 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009., 5229853, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, pp. 1412-1417, 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009, Singapore, Singapore, 09-07-14. https://doi.org/10.1109/AIM.2009.5229853

Intelligent fuzzy logic controller for a solar charging system. / Huang, Cong Hui; Huang, Chung Chi; Ou, Ting Chia et al.
2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009. 2009. p. 1412-1417 5229853 (IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Intelligent fuzzy logic controller for a solar charging system

AU - Huang, Cong Hui

AU - Huang, Chung Chi

AU - Ou, Ting Chia

AU - Lu, Kai Hung

AU - Hong, Chih Ming

PY - 2009

Y1 - 2009

N2 - This paper presents an intelligent solar charging system with fuzzy logic control method. With the scarce energy source and the worsening environmental pollution, how to create and use a clean and never exhausted energy is becoming very important day by day. This solar charging system is composed of a solar cell, a charger, batteries, a buck converter and a digital signal processor. In the meantime, it also combines the fuzzy logic method with the tactics of charging to improve the efficiency of charging, suppress the abnormal battery temperature rise, lengthen the battery's life, and reduce the waste used. Finally, experimental and simulation results are shown to demonstrate the effectiveness and validity of the system.

AB - This paper presents an intelligent solar charging system with fuzzy logic control method. With the scarce energy source and the worsening environmental pollution, how to create and use a clean and never exhausted energy is becoming very important day by day. This solar charging system is composed of a solar cell, a charger, batteries, a buck converter and a digital signal processor. In the meantime, it also combines the fuzzy logic method with the tactics of charging to improve the efficiency of charging, suppress the abnormal battery temperature rise, lengthen the battery's life, and reduce the waste used. Finally, experimental and simulation results are shown to demonstrate the effectiveness and validity of the system.

UR - https://www.scopus.com/pages/publications/70350451287

UR - https://www.scopus.com/pages/publications/70350451287#tab=citedBy

U2 - 10.1109/AIM.2009.5229853

DO - 10.1109/AIM.2009.5229853

M3 - Conference contribution

AN - SCOPUS:70350451287

SN - 9781424428533

T3 - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

SP - 1412

EP - 1417

BT - 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009

T2 - 2009 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2009

Y2 - 14 July 2009 through 17 July 2009

ER -

Intelligent fuzzy logic controller for a solar charging system

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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