Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance

Autor:	Vyas, Vikas, Shetiya, Sneha Sudhir
Rok vydání:	2024
Předmět:	Computer Science - Robotics Computer Science - Artificial Intelligence Electrical Engineering and Systems Science - Systems and Control
Druh dokumentu:	Working Paper
Popis:	Electric Power Steering (EPS) systems utilize electric motors to aid users in steering their vehicles, which provide additional precise control and reduced energy consumption compared to traditional hydraulic systems. EPS technology provides safety,control and efficiency.. This paper explains the integration of Artificial Intelligence (AI) into Electric Power Steering (EPS) systems, focusing on its role in enhancing the safety, and adaptability across diverse driving conditions. We explore significant development in AI-driven EPS, including predictive control algorithms, adaptive torque management systems, and data-driven diagnostics. The paper presents case studies of AI applications in EPS, such as Lane centering control (LCC), Automated Parking Systems, and Autonomous Vehicle Steering, while considering the challenges, limitations, and future prospects of this technology. This article discusses current developments in AI-driven EPS, emphasizing on the benefits of improved safety, adaptive control, and predictive maintenance. Challenges in integrating AI in EPS systems. This paper addresses cybersecurity risks, ethical concerns, and technical limitations,, along with next steps for research and implementation in autonomous, and connected vehicles. Comment: IEEE Summit on Reliability, Availability and Serviceability, 2024
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2412.08133 Zobrazit plný text záznamu View this record from Arxiv