Ultrasonic velocity as an improved ultrasound state-of-charge prediction method that compensates for cell thickness change

IF 8.4 2区 工程技术 Q1 CHEMISTRY, PHYSICAL
Journal of Power Sources Pub Date : 2026-05-15 Epub Date: 2026-03-04 DOI:10.1016/j.jpowsour.2026.239789
Rob Gray, Simon Pickering, Paloma Rodriguez Santana, Mac Geoffrey Ajaereh, Charles Courtney, Christopher Vagg
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引用次数: 0

Abstract

Accurate state-of-charge estimation is critical to the safe and reliable operation of Li-ion batteries. The accuracy of established state-of-charge estimation methods is limited due to measurement drift over many cycles or models which are challenging to reliably parametrise. Ultrasound sensing techniques have the potential to overcome these issues by providing a direct link between the state-of-charge and physical properties of the cell. Ultrasonic time-of-flight is the predominant measurement used to predict state-of-charge, but this measurement is complicated by changes in cell thickness during cycling, the effect of which has gone underappreciated until now. Unlike time-of-flight, ultrasonic velocity is unaffected by cell thickness changes, and this paper demonstrates for the first time the advantages of using velocity to predict state-of-charge. Velocity is found to be more consistent than time-of-flight at a range of different C-rates, temperatures, and across multiple cycles. This culminates in a large improvement in the prediction of state-of-charge during a US06 drive cycle, where the mean difference between predicted and actual state-of-charge is improved from 12.3 % to 3.8 % when velocity is used instead of time-of-flight. These results are a significant step towards the realisation of state-of-charge prediction using ultrasound and hence safer and more reliable Li-ion battery operation.

Abstract Image

超声速度作为一种改进的超声电荷状态预测方法,补偿了电池厚度的变化
准确的充电状态估计是锂离子电池安全可靠运行的关键。由于在许多周期或模型上的测量漂移难以可靠地参数化,已建立的电荷状态估计方法的准确性受到限制。超声传感技术有潜力通过提供电荷状态和细胞物理特性之间的直接联系来克服这些问题。超声飞行时间是用于预测电荷状态的主要测量方法,但这种测量方法由于循环过程中电池厚度的变化而变得复杂,其影响到现在还没有得到充分的认识。与飞行时间不同,超声速度不受电池厚度变化的影响,本文首次证明了用速度预测电荷状态的优点。在不同的碳率、温度和多个循环的范围内,速度比飞行时间更一致。在US06的驱动周期中,这种方法大大改善了对充电状态的预测,当使用速度而不是飞行时间时,预测和实际充电状态之间的平均差异从12.3%提高到3.8%。这些结果是朝着利用超声波实现充电状态预测迈出的重要一步,从而使锂离子电池更安全、更可靠地运行。
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来源期刊
Journal of Power Sources
Journal of Power Sources 工程技术-电化学
CiteScore
16.40
自引率
6.50%
发文量
1249
审稿时长
36 days
期刊介绍: The Journal of Power Sources is a publication catering to researchers and technologists interested in various aspects of the science, technology, and applications of electrochemical power sources. It covers original research and reviews on primary and secondary batteries, fuel cells, supercapacitors, and photo-electrochemical cells. Topics considered include the research, development and applications of nanomaterials and novel componentry for these devices. Examples of applications of these electrochemical power sources include: • Portable electronics • Electric and Hybrid Electric Vehicles • Uninterruptible Power Supply (UPS) systems • Storage of renewable energy • Satellites and deep space probes • Boats and ships, drones and aircrafts • Wearable energy storage systems
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