Designing ultra-fast-charging batteries is a major challenge because it is difficult to make the batteries last as the intensity of the fast charge puts a significant strain on the battery. Using artificial intelligence, a Stanford-led research team has slashed battery testing times by nearly fifteenfold. These kinds of new technologies must be tested for months or even years to determine how long they will last.
A team led by Stanford professors Stefano Ermon and William Chueh has developed a machine learning-based method that slashes these testing times by 98%. Although the group tested their method on battery charge speed, they said it can be applied to numerous other parts of the battery development pipeline.
Innovation theme: Ultra-fast charging of batteries, Machine learning-based method for battery testing, Time reduction in battery testing by 98%, Technology for battery development pipeline.
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