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This paper discusses the optimization of electric vehicle (EV) drives through AI-based control systems, highlighting the benefits of techniques like neural networks and reinforcement learning for improving motor efficiency, battery performance, and energy management. It addresses the challenges of implementing these systems, such as high computational requirements and cybersecurity threats, while emphasizing the potential for future advancements in autonomous driving and smart infrastructure integration. Th

Author

dhoja44

Language

EN