New Rotor Position Redundancy Decoding Method Based on Resolver Decoder.

Area of Science:

• Electrical Engineering
• Automotive Systems
• Control Theory

Background:

• Electric vehicles (EVs) face frequent safety challenges, necessitating robust control systems.
• Accurate motor rotor position acquisition is vital for enhancing EV functional safety.
• Existing resolver decoding methods (chip-based and software-based) are often used independently, limiting redundancy.

Purpose of the Study:

• To propose and validate a novel method for simultaneously integrating hardware and software decoding techniques for motor rotor position acquisition in EVs.
• To enhance the functional safety of EV electronic control systems by introducing redundancy in rotor position data.

Main Methods:

• A method was developed to simultaneously process resolver signals using both a dedicated decoding chip (hardware decoding) and a software decoding algorithm.
• The integrated system acquires rotor position (angle) data concurrently from both decoding methods.
• Experimental validation was performed to assess the effectiveness of the dual-decoding approach.

Main Results:

• The simultaneous operation of hardware and software decoding provides redundant angle data for motor control.
• This redundancy was experimentally verified to improve the functional safety of the electronic control system.
• The integrated approach addresses the limitations of single-method decoding for critical safety applications.

Conclusions:

• Integrating hardware and software resolver decoding offers a significant advancement in EV functional safety.
• The proposed redundant decoding method enhances system reliability and addresses safety concerns in electric vehicle powertrains.
• This research provides a practical solution for improving the safety and performance of electric motor control systems.