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What is Energy-Optimal Routing for EVs Using DRL about?

This paper introduces an energy-optimal routing solution for electric vehicles (EVs) using a deep reinforcement learning (DRL) approach with a transformer-based neural network. It formulates an Energy-Minimization Electric Vehicle Routing Problem (EM-EVRP) that incorporates a comprehensive energy consumption model, addressing factors like vehicle dynamics and charging losses. The proposed method outperforms existing techniques in both EM-EVRP and traditional Distance Minimization EVRP, achieving significant

Author

Andres Rios

Language

EN