Optimising electric vehicle energy management strategy using deep reinforcement learning and linear regression models

Key Points

• The primary aim is to enhance energy management strategies for electric vehicles using advanced algorithms.
• Utilized deep reinforcement learning for dynamic energy management
• Applied linear regression models for performance comparison
• Conducted simulations to assess energy efficiency
• Analyzed results to identify optimal strategies
• Significant improvements in energy efficiency were achieved
• Deep reinforcement learning outperformed traditional methods
• Identified key parameters influencing energy consumption