Journal of Electrical Engineering and Automation

As an important direction in the development of the automotive industry in recent years, hybrid electric vehicles (HEVs) offer advantages such as high efficiency and environmental friendliness. However, the complexity of electromechanical coupling systems poses significant challenges to fault diagnosis and maintenance technologies. This paper discusses common fault types and their diagnostic methods within HEV electromechanical coupling systems, proposing a technical framework for fault diagnosis based on multi-dimensional data analysis. By constructing and optimizing fault diagnosis models for electromechanical coupling systems, this study further analyzes how to improve maintenance efficiency and reduce system downtime, thereby providing theoretical support and technical guidance for vehicle maintenance. The application of intelligent diagnostic technologies can effectively enhance the accuracy of fault diagnosis in HEV electromechanical coupling systems and lay the foundation for further advancements in maintenance technologies.

Hybrid electric vehicle; Electromechanical coupling system; Fault diagnosis; Maintenance technology; Intelligent diagnosis