After the battery packaging is completed, it usually needs to be disassembled to view the battery structure and damage, but recently a team of scientists from New York University in the United States created a simpler detection method and developed a magnetic resonance imaging (MRI) machine for the battery, which can be viewed without disassembling the battery. The internal conditions and structural defects of the battery.
With the increasing number of 3C products and the rise of electric vehicles, people increasingly need safe and efficient batteries, but battery detection methods are still stagnant. Alexej Jerschow, a professor in the Department of Chemistry at New York University, said that currently only some tools can be used in limited conditions Diagnosis of damaged batteries, and the new machine developed by the team can provide faster and expandable detection methods with non-invasive technology.
In recent years, the safety of lithium-ion batteries has been controversial, and it has also highlighted the difficulty of battery design and manufacturing. Engineers often have to disassemble batteries to diagnose battery conditions during maintenance, or even after disassembly, they can not detect where the defects are. Therefore, New York University and Cooperation with the Battery Prototyping Center at Rochester Institute of Technology wants to find a way to accurately detect batteries without disassembling them, which is expected to improve the safety of electric vehicles in the future.
For example, there have been many non-invasive examinations in the development of medicine, such as magnetic resonance imaging, which uses the principle of magnetic field to obtain high-resolution images. It is possible to check the human organs and status without dissection and make the doctors diagnose more accurately, and the team also uses In a similar process, by measuring the small magnetic field changes around the battery's electrochemistry, it is detected whether the battery is healthy.
According to its research in "Nature Communications", the team used this technology to check different states of lithium-ion batteries, including different battery life and damage conditions, and compare the changes in the magnetic field around the battery with different battery states to obtain the battery charge status and other Defective battery. Among them, electrode bending and defects and small foreign objects are defects that may be produced in the manufacturing process.
Matthew Ganter, a scientist at the RIT Battery Prototyping Center, said that in order to ensure the quality and safety of batteries, the battery manufacturing process is very important, and at the same time, it can save a lot of costs for enterprises and prevent future disaster-resistant failures of batteries. Another scientist Christopher Schauerman pointed out that this work can not only strengthen the overall battery industry, but also further enhance New York's growing energy storage system.
Jerschow also said that as the technology becomes more mature, the machine is expected to predict battery failure and battery life in the future, and promote the development of next-generation high-efficiency, high-capacity, longer-life or fast-charge batteries.
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