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Ride Radar > Blog > Technology > Spotting bad batteries before they malfunction
Technology

Spotting bad batteries before they malfunction

Last updated: July 2, 2025 9:30 am
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A New Approach to Detecting Battery Defects

A recent increase in battery-related fires has highlighted the challenge of identifying defects that can lead to catastrophic malfunctions in batteries. Researchers at Drexel University have developed a standard testing process using ultrasound to provide manufacturers with a better understanding of potential internal flaws in batteries.

Published in the journal Electrochimica Acta, the research team presented methods for monitoring the electrochemical and mechanical functions of batteries using ultrasound. This technique can reveal any damage or flaws that may cause batteries to overheat and catch fire, a phenomenon known as “thermal runaway.”

Dr. Wes Chang, an assistant professor at Drexel University and primary investigator of the Battery Dynamics Lab, emphasized the importance of using ultrasound for battery diagnostics. This innovative approach offers a high-resolution view inside batteries, allowing for early detection of potential issues.

The team’s work focuses on developing a low-cost, accessible benchtop ultrasonic tool that can be easily implemented by battery engineers, including those working in the electric vehicle industry. With the growing demand for batteries to power electronic devices, the need for reliable quality control measures is more crucial than ever.

According to a report by Consumer Affairs, individuals use multiple devices powered by batteries daily, leading to a surge in battery production. This rapid growth has raised concerns about the entry of low-quality cells into the market, underscoring the importance of rigorous testing protocols.

While current safety and quality control processes rely on visual inspection and performance testing, the ultrasound method proposed by the Drexel team offers a faster and more cost-effective solution. By utilizing acoustic imaging, researchers can detect structural defects or damage that may compromise battery performance.

See also  GM partners with Nvidia to bring AI to robots and factories

In addition to detecting manufacturing flaws, ultrasound testing can also aid in research and development of new battery chemistries. Collaborating with lithium metal battery startup company SES AI, the research team deployed the testing platform to enhance the design and testing process.

By developing open-source software for running the instrument and analyzing data, the team aims to make ultrasonic testing a routine practice in battery research and development. This user-friendly interface streamlines the process of measuring and diagnosing battery performance, ultimately contributing to the advancement of next-generation batteries.

Looking ahead, the group plans to enhance the technology to enable scanning of battery electrodes and cells, as well as generate detailed three-dimensional images for more precise defect detection. The continuous improvement of ultrasound testing holds promise for improving battery safety and reliability in the future.

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