摘 要
随着智能网联汽车技术的快速发展，线控底盘作为其核心组成部分，对提升车辆操控性能和安全性具有重要意义。本研究针对传统线控底盘系统存在的响应延迟、冗余设计不足等问题，提出了一种基于新型架构的线控底盘系统设计方案，并重点分析了其关键技术及应用潜力。通过引入高精度传感器融合算法与实时控制策略，优化了系统的动态响应特性，同时构建了多层次故障诊断与容错机制，显著提升了系统的可靠性与稳定性。实验结果表明，该系统在复杂工况下的响应速度较传统方案提高约30%，且具备更强的环境适应能力。本研究的创新点在于首次将人工智能算法与线控底盘控制深度融合，实现了更精准的运动控制与更高的能源利用效率，为未来智能驾驶技术的发展提供了重要支撑。研究成果不仅验证了新型线控底盘系统的可行性和优越性，还为其在自动驾驶领域的广泛应用奠定了理论和技术基础。
关键词：线控底盘；智能网联汽车；传感器融合
Abstract
With the rapid development of intelligent connected vehicle technology, the by-wire chassis, as a core component, plays a significant role in enhancing vehicle handling performance and safety. This study addresses the issues of response delay and insufficient redundancy design in traditional by-wire chassis systems by proposing a novel architecture-based by-wire chassis system design scheme, with a focus on analyzing its key technologies and application potential. By incorporating high-precision sensor fusion algorithms and real-time control strategies, the dynamic response characteristics of the system are optimized. Additionally, a multi-level fault diagnosis and fault-tolerant mechanism is established, significantly improving the reliability and stability of the system. Experimental results indicate that the response speed of the system under complex conditions is approximately 30% faster than traditional solutions, with enhanced environmental adaptability. The innovation of this research lies in the first-time deep integration of artificial intelligence algorithms with by-wire chassis control, achieving more precise motion control and higher energy utilization efficiency, thus providing crucial support for the future development of intelligent driving technology. The research findings not only validate the feasibility and superiority of the new by-wire chassis system but also lay a theoretical and technical foundation for its extensive application in the field of autonomous driving.
Keywords: By-Wire Chassis；Intelligent Connected Vehicle；Sensor Fusion
目 录
引言 1
一、线控底盘系统概述 1
（一）线控底盘技术发展现状 1
（二）核心功能与架构设计 2
（三）技术优势及应用场景 2
二、关键技术分析 2
（一）电子控制单元设计 3
（二）传感器融合技术研究 3
（三）故障诊断与容错机制 3
三、系统性能优化方法 4
（一）动力学建模与仿真 4
（二）控制算法设计与实现 4
（三）实时性与稳定性提升 5
四、应用案例与前景展望 5
（一）自动驾驶场景应用 5
（二）智能交通系统集成 5
（三）未来发展趋势探讨 6
结 论 6
致 谢 8
参考文献 9
