The motor drive system plays a significant role in the safety and function of electric vehicles as a bridge for power transmission. In order to enhance the efficiency and stability of the drive system, more and more studies based on AI technology are devoted to the fault detection and diagnosis of the motor drive system.

• Chapter 1: Introduction
• Chapter 2: Feature extraction engineering (FEE) for EV electric powertrain fault diagnosis
• Chapter 3: AI-based electric motor fault diagnosis for electric powertrain in EVs
• Chapter 4: Case study 1 - AI-based electric motor fault diagnosis
• Chapter 5: Case study 2 - AI-based inverter/IGBT fault diagnosis
• Chapter 6: Case study 3 - AI-based bearing fault diagnosis
• Chapter 7: Case study 4 - AI-based gearbox fault diagnosis
• Chapter 8: Discussion and future development of AI-based fault diagnosis for electric powertrain in EVs
• Appendix