Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917866026041344 |
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| author | Vyas, Vikas Shetiya, Sneha Sudhir |
| author_facet | Vyas, Vikas Shetiya, Sneha Sudhir |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_08133 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance Vyas, Vikas Shetiya, Sneha Sudhir Robotics Artificial Intelligence Systems and Control 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. |
| title | Intelligent Electric Power Steering: Artificial Intelligence Integration Enhances Vehicle Safety and Performance |
| topic | Robotics Artificial Intelligence Systems and Control |
| url | https://arxiv.org/abs/2412.08133 |