Using Machine Learning to Get the Most Out of Electric Vehicle Batteries

With the uptake of electric vehicles (EVs) increasing across the automotive market, there is a need to ensure optimized function and reliability of the battery that is powering the vehicle. Across many industries and markets, lithium-ion (Li-ion) batteries are crucial components of devices and machinery, including smartphones, solar power storage, and power supplies. Thus, maintaining good battery health is absolutely vital in today's world. Now, a group of researchers from the University of Cambridge has recently developed a new algorithm that uses machine learning to help preserve good battery health in EVs. The algorithm is able to use pattern recognition and predictability models to see how various driving styles influence the performance of the vehicle's battery.