Engineers Develop Predictive Battery Tool to End Range Anxiety for Electric Vehicle Drivers

UC Riverside engineers have built a “State of Mission” model that predicts whether electric vehicles or drones can complete planned routes using real-time battery and environmental data. The hybrid system combines physics-based and AI methods, reducing prediction errors and improving safety and reliability across energy applications