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Energies 2013, 6(7), 3528-3547; doi:10.3390/en6073528
Article

Optimization of a Fuzzy-Logic-Control-Based Five-Stage Battery Charger Using a Fuzzy-Based Taguchi Method

1
, 1
, 1,* , 2
 and 2
1 Department of Electrical Engineering, National Taiwan University of Science and Technology, EE-105-1 #No.43, Sec. 4, Keelung Rd., Da'an Dist., Taipei City 10600, Taiwan 2 Electric Energy Technology Division Power Electronics Department , Industrial Technology Research Institute, Rm#841, Bldg. 51, No. 195, Sec. 4, Chung Hsing Rd., Chutung, Hsinchu 31040, Taiwan
* Author to whom correspondence should be addressed.
Received: 6 June 2013 / Revised: 9 July 2013 / Accepted: 9 July 2013 / Published: 17 July 2013
Download PDF [1581 KB, 17 March 2015; original version 17 March 2015]

Abstract

Lithium ion (Li-ion) batteries have been widely used in various kinds of applications, including consumer electronics, green energy systems and electrical vehicles. Since the charging method has a significant influence on the performance and lifetime of Li-ion batteries, an intelligent charging algorithm which can properly determine the charging current is essential. In this study, a fuzzy-logic-control-based (FLC-based) five-stage Li-ion battery charger is proposed. The proposed charger takes the temperature rise and the gradient of temperature rise of battery into account, and adjusts the charging current accordingly. To further improve the performance of the proposed FLC, the fuzzy-based Taguchi method is utilized to determine the optimal output membership functions (MFs). Comparing with the conventional constant current-constant voltage (CC-CV) method, the charging time, charging efficiency, average temperature rise and the obtained cycle life of the Li-ion battery are improved by about 58.3%, 1.65%, 26.7% and 59.3%, respectively.
Keywords: fuzzy logic control; five-stage constant current charging algorithm; Taguchi method fuzzy logic control; five-stage constant current charging algorithm; Taguchi method
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Liu, C.-L.; Chiu, Y.-S.; Liu, Y.-H.; Ho, Y.-H.; Huang, S.-S. Optimization of a Fuzzy-Logic-Control-Based Five-Stage Battery Charger Using a Fuzzy-Based Taguchi Method. Energies 2013, 6, 3528-3547.

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