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Author:

Yan, L. (Yan, L..) | Liang, G. (Liang, G..) | Jie, G. (Jie, G..)

Indexed by:

EI Scopus

Abstract:

The impact of different dimensional parameters of the macro fiber composite (MFC) sensor on its response performance was investigated using finite element simulation software. The frequency domain analysis of performance parameters, such as the electromechanical coupling coefficient, center frequency, and resonant frequency characteristic relationship, was carried out using different simulation models. Based on the simulation results, a MFC sensor suitable for acoustic detection was designed and customized. Then an ultrasonic guided wave detection system for lithium-ion batteries using the optimized MFC sensor was established. And the intrinsic relationship between the state of charge (SOC) and guided wave propagation properties was experimentally investigated. The results showed that the time of flight, signal amplitude, and SOC exhibited an approximately linear distribution, indicating the feasibility and reliability of characterizing the SOC of lithium-ion batteries based on MFC sensors. The mapping relationship between the state of charge and the propagation characteristics provides a foundation for the nondestructive evaluation and quantitative estimation of the state characteristics of lithium-ion batteries. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

Keyword:

MFC sensors Ultrasonic guided wave Lithium-ion batteries State of charge

Author Community:

  • [ 1 ] [Yan L.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Liang G.]Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Jie G.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

ISSN: 2367-3370

Year: 2023

Volume: 790 LNNS

Page: 342-355

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 13

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