Research on Ultrasonic-Based Measurement of State of Charge in Lithium-ion Batteries

This paper presents a novel approach for estimating the State of Charge (SoC) of batteries using ultrasonic measurements. Traditional SoC estimation methods, such as ampere-hour integration and model-based techniques, often face challenges related to complexity and cost. In contrast, ultrasonic measurements leverage the properties of mechanical waves, which can penetrate opaque materials and provide real-time insights into battery conditions. The study explores the relationship between ultrasonic wave propagation and the internal changes in battery materials during charge and discharge cycles. An experimental setup was developed, incorporating a charge-discharge module, a battery, and piezoelectric transducers to measure the time of flight (ToF) of ultrasonic waves. The results indicate that ToF varies significantly with SoC, with a decrease in ToF observed during charging and an increase during discharging. The correlation between ToF and SoC was analyzed using the Pearson correlation coefficient, signal-to-noise ratio, and various fitting methods, including polynomial fitting and Classification and Regression Trees (CART).

Authors

Institutions

Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/ic2ecs64405.2024.10928645
Citations
1
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Ultrasonic-Based Measurement of State of Charge in Lithium-ion Batteries

Shunfeng Yang, Yongjiang Yu, Yi Luo, Zegeye Belete Sewunet
1 citations
Advanced Battery Technologies Research
0.20
article

Research on Ultrasonic-Based Measurement of State of Charge in Lithium-ion Batteries

Shunfeng Yang, Yongjiang Yu, Yi Luo, Zegeye Belete Sewunet
article en
1 citations

Abstract

This paper presents a novel approach for estimating the State of Charge (SoC) of batteries using ultrasonic measurements. Traditional SoC estimation methods, such as ampere-hour integration and model-based techniques, often face challenges related to complexity and cost. In contrast, ultrasonic measurements leverage the properties of mechanical waves, which can penetrate opaque materials and provide real-time insights into battery conditions. The study explores the relationship between ultrasonic wave propagation and the internal changes in battery materials during charge and discharge cycles. An experimental setup was developed, incorporating a charge-discharge module, a battery, and piezoelectric transducers to measure the time of flight (ToF) of ultrasonic waves. The results indicate that ToF varies significantly with SoC, with a decrease in ToF observed during charging and an increase during discharging. The correlation between ToF and SoC was analyzed using the Pearson correlation coefficient, signal-to-noise ratio, and various fitting methods, including polynomial fitting and Classification and Regression Trees (CART).

University of Connecticut (US), Southwest Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 45%
Advanced Battery Technologies Research
0.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on Ultrasonic-Based Measurement of State of Charge in Lithium-ion Batteries — Shunfeng Yang, Yongjiang Yu, et al. · (2024) | TGRS Research Map | TGRS