智能电动助力转向：人工智能集成提升车辆安全性与性能
Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance
AI总结：
本文研究人工智能与电动助力转向（EPS）系统的集成，梳理AI驱动EPS的技术进展与应用案例，分析其在提升车辆安全性、适应性等方面的优势，同时指出相关挑战并提出未来在自动驾驶、网联汽车领域的研究落地方向。
摘要：
电动助力转向（Electric Power Steering，EPS）系统利用电动机辅助驾驶员操控车辆转向，与传统液压系统相比，可提供额外的精准控制并降低能耗。EPS技术具备安全性、可控性与高效性优势。本文阐述了人工智能（Artificial Intelligence，AI）与电动助力转向（EPS）系统的集成，重点研究其在提升不同驾驶条件下的安全性与适应性方面的作用。我们探讨了AI驱动EPS的重要进展，包括预测控制算法、自适应扭矩管理系统以及数据驱动的诊断方法。本文介绍了AI在EPS中的应用案例，如车道居中控制（Lane centering control，LCC）、自动泊车系统以及自动驾驶车辆转向，同时考量了该技术面临的挑战、局限性与未来前景。本文讨论了AI驱动EPS的当前发展，重点强调其在提升安全性、自适应控制与预测性维护方面的优势，也指出了AI集成到EPS系统中存在的挑战，涵盖网络安全风险、伦理问题与技术局限性，同时提出了在自动驾驶与网联汽车领域开展研究与落地的下一步方向。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
