A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method

Shun Chung Wang; Yuan Lin Chen; Yi Hua Liu; Yan Syun Huang

doi:10.1109/ICIEA.2015.7334230

A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method

Shun Chung Wang, Yuan Lin Chen, Yi Hua Liu, Yan Syun Huang

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

14 Scopus citations

Abstract

This paper proposes a fuzzy-based Taguchi method (FBTM) to experimentally search an optimal fast-charge pattern of Li-ion batteries for maximizing the charging cost-effectiveness. The pattern of the adopted multistage constant current charging method is obtained through the consecutive orthogonal array (OA) experiments via systematically tuning the C rate of the multistage charging currents. The fuzzy logic is applied to convert the signal-to-noise (S/N) ratios of dominant quality characteristics, derived from the Taguchi method (TM), into a single fuzzy dual-response performance index (FDRPI) to maximize the charging cost-benefit function. The predicted best pattern is verified by conducting the confirmation tests. The confirmative examinations show that the obtained pattern is capable of charging the batteries to over 91% available capacity within 42 minutes. Comparing with the conventional constant current-constant voltage (CC-CV) method, the devised scheme has the performance enhancements of more than 81% charging time reduction, 30% more life cycles, and over 0.5% charging efficiency increase.

Original language	English
Title of host publication	Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	855-859
Number of pages	5
ISBN (Electronic)	9781467373173
DOIs	https://doi.org/10.1109/ICIEA.2015.7334230
State	Published - 20 11 2015
Externally published	Yes
Event	10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 - Auckland, New Zealand Duration: 15 06 2015 → 17 06 2015

Publication series

Name	Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

Conference

Conference	10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
Country/Territory	New Zealand
City	Auckland
Period	15/06/15 → 17/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Lithium-ion battery
Taguchi method
constant current-constant voltage (CCCV)
fuzzy logic

UN SDGs

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

Access to Document

10.1109/ICIEA.2015.7334230

Cite this

Wang, S. C., Chen, Y. L., Liu, Y. H., & Huang, Y. S. (2015). A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method. In Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 (pp. 855-859). Article 7334230 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2015.7334230

Wang, Shun Chung ; Chen, Yuan Lin ; Liu, Yi Hua et al. / A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method. Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 855-859 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015).

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title = "A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method",

abstract = "This paper proposes a fuzzy-based Taguchi method (FBTM) to experimentally search an optimal fast-charge pattern of Li-ion batteries for maximizing the charging cost-effectiveness. The pattern of the adopted multistage constant current charging method is obtained through the consecutive orthogonal array (OA) experiments via systematically tuning the C rate of the multistage charging currents. The fuzzy logic is applied to convert the signal-to-noise (S/N) ratios of dominant quality characteristics, derived from the Taguchi method (TM), into a single fuzzy dual-response performance index (FDRPI) to maximize the charging cost-benefit function. The predicted best pattern is verified by conducting the confirmation tests. The confirmative examinations show that the obtained pattern is capable of charging the batteries to over 91% available capacity within 42 minutes. Comparing with the conventional constant current-constant voltage (CC-CV) method, the devised scheme has the performance enhancements of more than 81% charging time reduction, 30% more life cycles, and over 0.5% charging efficiency increase.",

keywords = "Lithium-ion battery, Taguchi method, constant current-constant voltage (CCCV), fuzzy logic",

author = "Wang, {Shun Chung} and Chen, {Yuan Lin} and Liu, {Yi Hua} and Huang, {Yan Syun}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 ; Conference date: 15-06-2015 Through 17-06-2015",

year = "2015",

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doi = "10.1109/ICIEA.2015.7334230",

language = "英语",

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Wang, SC, Chen, YL, Liu, YH & Huang, YS 2015, A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method. in Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015., 7334230, Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015, Institute of Electrical and Electronics Engineers Inc., pp. 855-859, 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015, Auckland, New Zealand, 15/06/15. https://doi.org/10.1109/ICIEA.2015.7334230

A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method. / Wang, Shun Chung; Chen, Yuan Lin; Liu, Yi Hua et al.
Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 855-859 7334230 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015).

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

TY - GEN

T1 - A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method

AU - Wang, Shun Chung

AU - Chen, Yuan Lin

AU - Liu, Yi Hua

AU - Huang, Yan Syun

PY - 2015/11/20

Y1 - 2015/11/20

N2 - This paper proposes a fuzzy-based Taguchi method (FBTM) to experimentally search an optimal fast-charge pattern of Li-ion batteries for maximizing the charging cost-effectiveness. The pattern of the adopted multistage constant current charging method is obtained through the consecutive orthogonal array (OA) experiments via systematically tuning the C rate of the multistage charging currents. The fuzzy logic is applied to convert the signal-to-noise (S/N) ratios of dominant quality characteristics, derived from the Taguchi method (TM), into a single fuzzy dual-response performance index (FDRPI) to maximize the charging cost-benefit function. The predicted best pattern is verified by conducting the confirmation tests. The confirmative examinations show that the obtained pattern is capable of charging the batteries to over 91% available capacity within 42 minutes. Comparing with the conventional constant current-constant voltage (CC-CV) method, the devised scheme has the performance enhancements of more than 81% charging time reduction, 30% more life cycles, and over 0.5% charging efficiency increase.

AB - This paper proposes a fuzzy-based Taguchi method (FBTM) to experimentally search an optimal fast-charge pattern of Li-ion batteries for maximizing the charging cost-effectiveness. The pattern of the adopted multistage constant current charging method is obtained through the consecutive orthogonal array (OA) experiments via systematically tuning the C rate of the multistage charging currents. The fuzzy logic is applied to convert the signal-to-noise (S/N) ratios of dominant quality characteristics, derived from the Taguchi method (TM), into a single fuzzy dual-response performance index (FDRPI) to maximize the charging cost-benefit function. The predicted best pattern is verified by conducting the confirmation tests. The confirmative examinations show that the obtained pattern is capable of charging the batteries to over 91% available capacity within 42 minutes. Comparing with the conventional constant current-constant voltage (CC-CV) method, the devised scheme has the performance enhancements of more than 81% charging time reduction, 30% more life cycles, and over 0.5% charging efficiency increase.

KW - Lithium-ion battery

KW - Taguchi method

KW - constant current-constant voltage (CCCV)

KW - fuzzy logic

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BT - Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015

Y2 - 15 June 2015 through 17 June 2015

ER -

Wang SC, Chen YL, Liu YH, Huang YS. A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method. In Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 855-859. 7334230. (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015). doi: 10.1109/ICIEA.2015.7334230

A fast-charging pattern search for li-ion batteries with fuzzy-logic-based Taguchi method

Abstract

Publication series

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Bibliographical note

Keywords

UN SDGs

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