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author:

Zhu, X. (Zhu, X..) [1] | Lin, Q. (Lin, Q..) [2] | You, S. (You, S..) [3] | Chen, S. (Chen, S..) [4] | Hong, Y. (Hong, Y..) [5]

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Scopus

Abstract:

Batteries as energy storage instruments are widely used in electric vehicles, uninterrupted power supply (UPS), communications and random fluctuations. The state of health (SOH) for batteries has a significant impact on traffic safety, communication reliability and energy efficiency. The performance of batteries is affected by the aging of batteries with the increase of service time. Due to the interaction of various factors, and the battery is a highly coupled, complex mechanism, non-linear parameter change system, the characterization of battery aging phenomenon is very complex. In this paper, the existing SOH estimation methods for batteries are reviewed and classified in different fields. © 2019 IEEE.

Keyword:

Batteries; Review; State of health (SOH)

Community:

  • [ 1 ] [Zhu, X.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Lin, Q.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [You, S.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Chen, S.]Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark
  • [ 5 ] [Hong, Y.]Kehua Hengsheng Co.Ltd, Xiamen, China

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Source :

2019 4th International Conference on Intelligent Green Building and Smart Grid, IGBSG 2019

Year: 2019

Page: 456-460

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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