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

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
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