In the race to bring EVs to the masses, researchers have developed a machine learning algorithm that could supercharge battery development.
A collaboration between Stanford University, Massachusetts Institute of Technology and the Toyota Research Institute has led to the development of a new machine learning method that aims to overcome one of the biggest issues in the development of electric vehicles (EVs).
This bottleneck involved the evaluation time of EV batteries, where new technologies must be tested for months – or even years – to see how long they will last. However, in a paper published to Nature, the research team said its new #AI slashes the amount of time it takes to test #EV batteries by 98pc. While the focus of the study was on battery charge speed, it can be applied to other parts of battery development and even to non-energy technologies.
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AI breakthrough slashes EV battery testing time by 98pc
In the race to bring EVs to the masses, researchers have developed a machine learning algorithm that could supercharge battery development. A collaboration between Stanford University, MIT and the Toyota Research Institute has led to the development of a new machine learning method that aims to overcome one of the biggest issues in the development of electric vehicles (EVs).
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