Recognizing Significant Components of Electrical Waveforms of Actuators Operated by Vehicle Controllers

Area of Science:

• Automotive Engineering
• Electrical Engineering
• Control Systems

Background:

• Vehicle electronic modules control executive systems using actuators powered by electric current.
• Actuator current serves dual roles: power supply and operational control.
• Monitoring electrical waveforms offers insights into system operation and diagnostics.

Purpose of the Study:

• To propose and develop a method for identifying electrical waveforms from vehicle executive systems.
• To implement an algorithm for detecting model waveform values within vehicle controllers.
• To enable efficient system control and damage-oriented diagnostics in Electronic Control Units (ECUs).

Main Methods:

• Development of an algorithm for detecting model waveform values.
• Integration of the algorithm into vehicle control modules with voltage and current sensing capabilities.
• Optimization of the developed code for ECU implementation.
• Testing the computational program on a spark-ignition engine's electromagnetic valve-fuel injector.

Main Results:

• An algorithm for detecting essential waveform values was developed and described.
• The optimized code supports damage-oriented control by ECUs.
• The program effectively detected changes in fuel injector current signals.
• Effectiveness demonstrated across different engine speeds (4 and 8 ms) and loads (0.2 and 0.4 MPa).

Conclusions:

• The proposed method enables automatic detection of essential waveform values for enhanced control.
• The developed system facilitates real-time diagnostics of executive system components.
• The approach is effective for monitoring fuel injector performance under various operating conditions.