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Mathematical Problems in Engineering
Volume 2018, Article ID 3793492, 13 pages
https://doi.org/10.1155/2018/3793492
Research Article

Development of Accurate Lithium-Ion Battery Model Based on Adaptive Random Disturbance PSO Algorithm

1State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin 300130, China
2School of Computer Science & Engineering, Hebei University of Technology, Tianjin 300130, China
3Department of Electronic Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan

Correspondence should be addressed to Lin Hsiung-Cheng; wt.ude.tucn@nilch

Received 28 November 2017; Revised 8 May 2018; Accepted 5 June 2018; Published 3 July 2018

Academic Editor: Eric Monfroy

Copyright © 2018 Huang Kai et al. 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.

How to Cite this Article

Huang Kai, Guo Yong-Fang, Li Zhi-Gang, Lin Hsiung-Cheng, and Li Ling-Ling, “Development of Accurate Lithium-Ion Battery Model Based on Adaptive Random Disturbance PSO Algorithm,” Mathematical Problems in Engineering, vol. 2018, Article ID 3793492, 13 pages, 2018. https://doi.org/10.1155/2018/3793492.