AI system predicts lithium-ion battery failures to increase EV performance
Lithium-ion batteries are commonly found in electric vehicles (EVs) and portable consumer electronics. They consist of two electrodes divided by a separator that allows charged particles to flow through a solvent from one to the other. But if materials degrade and the electrodes make direct contact with each other, the charged particles can explode. Accure’s new predictive platform uses AI, field data and modelling to detect irregular battery cell behaviour and provide an understanding of battery health in EVs. The firm said its technology could give operators of EV fleets – as well as energy storage providers – more lead time to address critical issues before major damage can occur. It has already led to the prevention of more than 50 battery incidents and increased the performance of…