Estimating State of Charge of Lithium-ion Batteries by Using Ultrasonic Guided Waves Detection Technology

• Published in: Journal of physics. Conference series Vol. 2198; no. 1; pp. 12015 - 12022
• Main Authors: Gao, Jie, Lyu, Yan, He, Cunfu
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.05.2022
• Subjects: Acoustic mapping; Cobalt oxides; Cylindrical Lithium-ion battery; Cylindrical waves; Dispersion curve analysis; Elastic properties; Electric vehicles; Energy storage; Lithium; Lithium-ion batteries; Lithium-ion battery; Longitudinal guided-wave; Mechanical properties; Modulus of elasticity; Physics; propagation characteristics; Rechargeable batteries; Reliability analysis; simulation; State of Charge; Storage batteries; Storage systems; ultrasonic guided-wave; Ultrasonic testing; Wave propagation; Weight reduction
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2198/1/012015

Abstract As a light weight and high power density energy, Lithium-ion batteries have become widely used in electric vehicles, energy storage systems, etc. Thus, accurately capturing the internal battery dynamics and properly estimating the state of charge of a lithium-ion battery attract academic research interest. A reliable battery detection method is particularly important. The mechanical properties (elastic modulus and density) can be affected by the level of lithiation of the electrodes and the volume expansion during charge and discharge cycling. In this work, a theoretical model of ultrasonic guided wave detection for cylindrical lithium-ion battery is established to purchase the guidance of the in-situ monitoring of the battery status. Several numerical cases about cylindrical Lithium cobalt oxide battery are studied, and the effect of the circumferential wave number and state of charge (SOC) on the dispersion characteristics are illustrated. Based on the extracted dispersion curves at different SOC, the relationship between the wave propagation characteristics of the ultrasonic guided waves and the SOC of the lithiumion battery is analyzed. The effective capture of the mapping relationship between SOC and acoustic behaviors can provide new ideas and solutions for the effective evaluation of the reliability and safety of power batteries.