Skip to main navigation Skip to search Skip to main content

Ultrasonic imaging technology for non-destructive detection of lithium ion batteries

  • Ping Liu
  • , Rongrong Li
  • , Xinqi Liang
  • , Guoxiang Pan*
  • , Feng Cao
  • , Jiayuan Xiang
  • , Chen Wang
  • , Wangjun Wan*
  • , Zhong Qiu
  • , Yongqi Zhang
  • , Ming Song
  • , Fangfang Tu
  • , Wei Wen
  • , Yuanyuan Jiang
  • , Yuhong Zhang
  • , Xinping He
  • , Yang Xia
  • , Wenkui Zhang
  • , Qi Liu
  • , Xinhui Xia*
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Ultrasonic imaging technology (UIT) has emerged as a pivotal non-destructive detection method for lithium ion batteries (LIBs), addressing critical challenges in ensuring battery safety and performance. This review comprehensively explores the working principles of UIT, including ultrasonic reflection, refraction, and attenuation, and its applications in LIB inspection. It systematically elaborates on the advancements and applications of UIT for high-resolution imaging of electrode microstructures, real-time monitoring of electrolyte wetting and dry-out, and precise detection of defects such as lithium plating, gas evolution, and electrode delamination. We also discuss the non-invasive assessment of state-of-charge and state-of-health of LIBs by correlating acoustic properties with structural changes during battery cycling. Comparative analyses highlight the superiority of UIT over traditional destructive methods and complementary technologies. Furthermore, this review rigorously examines the current challenges and future development prospects of UIT. Despite challenges in resolving nanoscale defects and adapting to complex battery architectures, UIT shows promise when integrated with AI-driven data analysis and advanced transducers. Finally, we also envision emerging applications of UIT in the broader renewable energy sector, aiming to provide scientific insights for optimizing manufacturing, lifecycle management, and safety assurance of the battery industry. © 2025 Science Press and Dalian Institute of Chemical Physics, Chinese Academy of Sciences.
Original languageEnglish
Pages (from-to)383-405
Number of pages23
JournalJournal of Energy Chemistry
Volume115
Online published3 Dec 2025
DOIs
Publication statusPublished - Apr 2026

Funding

This work is supported by the Science and Technology Department of Zhejiang Province (Grant No. 2023C01231), Natural Science Foundation of Zhejiang Province (Grant No. LD25E020003, LQ23E020009), National Natural Science Foundation of China (Grant Nos. 52372235, U20A20253, 22379020, 22279116), Key Scientific Research Project of Hangzhou (Grant No. 2024SZD1B12), State Key Laboratory of New Textile Materials and Advanced Processing Technologies (Grant No. FZ2024009), Science and Technology Project of Huzhou (Grant No. 2024GZ02), National Science Foundation of Sichuan Province (Grant No. 2024NSFSC0951), Zhejiang Provincial Postdoctoral Research Project (Grant No. ZJ2023080), China Postdoctoral Science Foundation (2024M750347), and Key Laboratory of Engineering Dielectrics and Its Application (Harbin University of Science and Technology), Ministry of Education (Grant No. KFM 202303).

UN SDGs

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

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • Lithium ion batteries
  • Non-destructive detection
  • Ultrasonic imaging technology

Fingerprint

Dive into the research topics of 'Ultrasonic imaging technology for non-destructive detection of lithium ion batteries'. Together they form a unique fingerprint.

Cite this