19 April 2017 Battery charge and health state monitoring via ultrasonic guided-wave-based methods using built-in piezoelectric transducers
Author Affiliations +
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Purim Ladpli, Purim Ladpli, Fotis Kopsaftopoulos, Fotis Kopsaftopoulos, Raphael Nardari, Raphael Nardari, Fu-Kuo Chang, Fu-Kuo Chang, } "Battery charge and health state monitoring via ultrasonic guided-wave-based methods using built-in piezoelectric transducers", Proc. SPIE 10171, Smart Materials and Nondestructive Evaluation for Energy Systems 2017, 1017108 (19 April 2017); doi: 10.1117/12.2260107; https://doi.org/10.1117/12.2260107

Back to Top