摘 要
随着汽车电子技术的快速发展，电子控制系统在现代车辆中的应用日益广泛，其复杂性也显著增加，导致故障诊断与维修成为行业关注的重点问题。本研究旨在深入探讨汽车电子控制系统的故障诊断方法及维修技术，以提高诊断效率和维修质量。通过结合理论分析与实验验证，采用数据驱动的智能诊断算法对典型故障进行建模与识别，并开发了一套集成化诊断与维修支持系统。研究结果表明，所提出的算法能够有效提升故障检测的准确率和效率，同时降低误诊率。此外，该系统还具备较强的适应性和可扩展性，可满足不同类型车辆的诊断需求。本研究的主要创新点在于将人工智能技术与传统诊断方法相结合，提出了适用于复杂电子控制系统的高效诊断策略，为汽车行业提供了重要的技术支持与理论参考。
关键词：汽车电子控制系统；故障诊断；智能诊断算法；维修技术；数据驱动
Abstract
With the rapid development of automotive electronics technology, the application of electronic control systems in modern vehicles has become increasingly widespread, and their complexity has significantly increased, making fault diagnosis and maintenance a key issue of concern in the industry. This study aims to explore the fault diagnosis methods and maintenance technologies of automotive electronic control systems to improve diagnostic efficiency and maintenance quality. By integrating theoretical analysis with experimental validation, a data-driven intelligent diagnostic algorithm was employed for modeling and identification of typical faults, and an integrated diagnostic and maintenance support system was developed. The results indicate that the proposed algorithm effectively enhances the accuracy and efficiency of fault detection while reducing misdiagnosis rates. Moreover, the system demonstrates strong adaptability and scalability, meeting the diagnostic requirements of various vehicle types. A major innovation of this research lies in combining artificial intelligence techniques with traditional diagnostic methods to propose an efficient diagnostic strategy suitable for complex electronic control systems, providing significant technical support and theoretical reference for the automotive industry.
Keywords: Automobile Electronic Control System；Fault Diagnosis；Intelligent Diagnostic Algorithm；Maintenance Technology；Data-Driven
目 录
引言 1
一、汽车电子控制系统概述 1
（一）电子控制系统基本原理 1
（二）核心组件及其功能分析 2
（三）当前技术发展现状 2
二、故障诊断技术研究 2
（一）常见故障类型与特征 2
（二）数据采集与分析方法 3
（三）智能诊断技术应用 3
三、维修技术与实践分析 4
（一）维修流程标准化设计 4
（二）关键维修工具与设备 4
（三）典型案例分析与总结 4
四、系统优化与未来展望 5
（一）提高诊断效率的策略 5
（二）新技术在维修中的应用 5
（三）发展趋势与挑战 6
结 论 6
致 谢 8
参考文献 9
随着汽车电子技术的快速发展，电子控制系统在现代车辆中的应用日益广泛，其复杂性也显著增加，导致故障诊断与维修成为行业关注的重点问题。本研究旨在深入探讨汽车电子控制系统的故障诊断方法及维修技术，以提高诊断效率和维修质量。通过结合理论分析与实验验证，采用数据驱动的智能诊断算法对典型故障进行建模与识别，并开发了一套集成化诊断与维修支持系统。研究结果表明，所提出的算法能够有效提升故障检测的准确率和效率，同时降低误诊率。此外，该系统还具备较强的适应性和可扩展性，可满足不同类型车辆的诊断需求。本研究的主要创新点在于将人工智能技术与传统诊断方法相结合，提出了适用于复杂电子控制系统的高效诊断策略，为汽车行业提供了重要的技术支持与理论参考。
关键词：汽车电子控制系统；故障诊断；智能诊断算法；维修技术；数据驱动
Abstract
With the rapid development of automotive electronics technology, the application of electronic control systems in modern vehicles has become increasingly widespread, and their complexity has significantly increased, making fault diagnosis and maintenance a key issue of concern in the industry. This study aims to explore the fault diagnosis methods and maintenance technologies of automotive electronic control systems to improve diagnostic efficiency and maintenance quality. By integrating theoretical analysis with experimental validation, a data-driven intelligent diagnostic algorithm was employed for modeling and identification of typical faults, and an integrated diagnostic and maintenance support system was developed. The results indicate that the proposed algorithm effectively enhances the accuracy and efficiency of fault detection while reducing misdiagnosis rates. Moreover, the system demonstrates strong adaptability and scalability, meeting the diagnostic requirements of various vehicle types. A major innovation of this research lies in combining artificial intelligence techniques with traditional diagnostic methods to propose an efficient diagnostic strategy suitable for complex electronic control systems, providing significant technical support and theoretical reference for the automotive industry.
Keywords: Automobile Electronic Control System；Fault Diagnosis；Intelligent Diagnostic Algorithm；Maintenance Technology；Data-Driven
目 录
引言 1
一、汽车电子控制系统概述 1
（一）电子控制系统基本原理 1
（二）核心组件及其功能分析 2
（三）当前技术发展现状 2
二、故障诊断技术研究 2
（一）常见故障类型与特征 2
（二）数据采集与分析方法 3
（三）智能诊断技术应用 3
三、维修技术与实践分析 4
（一）维修流程标准化设计 4
（二）关键维修工具与设备 4
（三）典型案例分析与总结 4
四、系统优化与未来展望 5
（一）提高诊断效率的策略 5
（二）新技术在维修中的应用 5
（三）发展趋势与挑战 6
结 论 6
致 谢 8
参考文献 9
