Fuel Cell Performance Matlab Simulation Data
This work develops an AI-enhanced digital twin framework for real-time modeling, optimization, and predictive management of Fuel Cell Electric Vehicles (FCEVs) integrated with a hydrogen storage system. The proposed embedded control system combines digital twin technology with machine learning al
This work develops an AI-enhanced digital twin framework for real-time modeling, optimization, and predictive management of Fuel Cell Electric Vehicles (FCEVs) integrated with a hydrogen storage system. The proposed embedded control system combines digital twin technology with machine learning algorithms to achieve optimal energy management, improved efficiency, extended component lifetime, and enhanced driving range under dynamic operating conditions.
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Files are hosted on the source repository. Click download to access the full dataset.