Application of Artificial Intelligence Optimization in Hybrid Vehicles

With the growing integration of Artificial Intelligence (AI) in hybrid vehicles, significant advancements have been made in improving their environmental perception, energy management, path planning, and charge optimization. This paper focuses on the application of AI optimization in hybrid vehicles, presenting an overview of key AI technologies and algorithms such as SSD, SLAM, PSO, and FLC. The study shows how these technologies enhance vehicle performance by improving detection accuracy, energy efficiency, and driving strategies. Additionally, the research highlights the challenges AI faces in real-time performance and dynamic adaptability, providing insights for future development. This work contributes to ongoing research aimed at achieving safer, more efficient, and intelligent autonomous driving systems.