AI让电动助力转向更智能，提升安全与适应性
Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance
- 用AI实现预测控制与自适应扭矩管理
- 支持车道居中、自动泊车等高级功能
- 适合自动驾驶与智能网联汽车研究者
电动助力转向（EPS）系统利用电机辅助驾驶者转向，相比传统液压系统具有更高精度和更低能耗。本文探讨人工智能（AI）在电动助力转向系统中的集成，重点提升其在复杂驾驶条件下的安全性与适应性。文中介绍AI驱动的显著进展，包括预测控制算法、自适应扭矩管理系统和数据驱动诊断技术。通过案例研究展示AI在车道居中控制（LCC）、自动泊车系统及自动驾驶车辆转向中的应用。同时分析该技术面临的挑战，如网络安全风险、伦理问题及技术局限，并展望其在自动驾驶与车联网中的未来研究方向与实施路径。
原文摘要 · Abstract (English)
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.
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