Merging physical domain knowledge with AI improves prediction accuracy of battery capacity

Recently, electric vehicles (EVs) are seen everywhere, from passenger cars to buses to taxis. EVs have the advantage of being eco-friendly and having low maintenance costs, but their owners must remain wary of fatal accidents in case the battery runs out or reaches the end of its life. Therefore, precise capacity and lifespan predictions for the lithium-ion batteries—commonly used in EVs—are vital.