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March 6, 2026Journal of Power Sources0 citationsOpen Access

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

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RGRob GraySPSimon PickeringPSPaloma Rodriguez Santana

Key Points

  • This research aims to improve state-of-charge estimation in Li-ion batteries by utilizing ultrasonic velocity instead of time-of-flight measurements.
  • Utilized ultrasonic velocity measurements for state-of-charge prediction.
  • Compared ultrasonic velocity with traditional time-of-flight measurements across various C-rates and temperatures.
  • Evaluated prediction accuracy during multiple charge-discharge cycles.
  • Achieved a reduction in mean difference between predicted and actual state-of-charge from 12.3% to 3.8%.
  • Compensated for cell thickness changes, reducing charge–discharge hysteresis gap by 60%.
  • Halved the difference in measurements at 0.2 and 1 C.
  • Reduced effect of ambient temperature to 8% SoC per 1 °C from 15%.
  • Diminished measurement drift from aging by 71%.

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. • Compensating for cell thickness reduces the charge–discharge hysteresis gap by 60 %. • The difference between measurements at 0.2 and 1 C is halved. • The effect of ambient temperature is reduced from 15 % to 8 % SoC per 1 °C. • Measurement drift from aging-related irreversible cell expansion is reduced by 71 %. • During a drive cycle, predicted and actual SoC difference is reduced by 69 %.

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Cite This Study

Gray et al. (2026) studied this question.

synapsesocial.com/papers/69aa70a9531e4c4a9ff5a997https://doi.org/10.1016/j.jpowsour.2026.239789
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