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ultrasonic guided-wave-based methods using built-in piezoelectric transducers

This work presents a novel scalable and field-deployable framework for monitoring lithium-ion (Li-ion) battery state of charge (SoC) and state of health (SoH), based on ultrasonic guided waves using low-profile built-in piezoelectric transducers. The feasibility of this technique is demonstrated through experiments using surface-mounted piezoelectric disc transducers on commercial Li-ion pouch batteries. Pitch-catch guided-wave propagation is performed in synchronization with electrical charge and discharge cycling, and cycle life testing. Simple time-domain analysis shows strong and repeatable correlation between waveform signal parameters, and battery SoC and SoH. The correlation thus provides a building block for constructing a technique for accurate real-time monitoring of battery charge and health states using ultrasonic guided-wave signals. Moreover, capacity-differential signal analysis reveals the underlying physical changes associated with cyclic electrochemical activities and phase transitioning. This finding allows accurate pinpointing of the root cause of capacity fade and mechanical degradation. The results of this study indicate that the use of guided waves can potentially offer a new avenue for in-situ characterization of Li-ion batteries, providing insight on the complex coupling between electrochemistry and mechanics, heretofore not fully understood within the scientific community.

Reference

Purim Ladpli, Fotis Kopsaftopoulos, Raphael Nardari, Fu-Kuo Chang, "ultrasonic guided-wave-based methods using built-in piezoelectric transducers ,"

Smart Materials and Nondestructive Evaluation for Energy Systems 2017, Vol. 10171, p. 1017108. International Society for Optics and Photonics. 2017

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Bibtex

@inproceedings{ladpli2017battery,
  title={Battery charge and health state monitoring via ultrasonic guided-wave-based methods using built-in piezoelectric transducers},
  author={Ladpli, Purim and Kopsaftopoulos, Fotis and Nardari, Raphael and Chang, Fu-Kuo},
  booktitle={Smart Materials and Nondestructive Evaluation for Energy Systems 2017},
  volume={10171},
  pages={1017108},
  year={2017},
  organization={International Society for Optics and Photonics}
}