HPDI dual-fuel injection control system and method based on rail pressure signal and neural network

By using the HPDI dual-fuel injection control system based on rail pressure signals and neural networks, the injector energizing time is dynamically adjusted, solving the problems of insufficient control precision and adaptability in traditional methods, and achieving stable engine operation and improved environmental performance.

CN120968905APending Publication Date: 2025-11-18GUANGXI YUCHAI MASCH CO LTD
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Patent Information

Application Number
CN202511409973.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-29
Publication Date
2025-11-18

AI Technical Summary

Technical Problem

Traditional HPDI dual-fuel injection control methods struggle to achieve a good balance between control precision and adaptability, leading to problems such as untimely fuel injection quantity adjustment, uncontrolled fuel ratio, unstable combustion, and excessive emissions.

Method used

The HPDI dual-fuel injection control system, based on rail pressure signal and neural network, dynamically adjusts the energizing time of the injectors through high-precision rail pressure signal acquisition, signal processing and analysis, neural network calculation and closed-loop adjustment, to achieve precise control of the dual-fuel ratio.

Benefits of technology

It improves control precision, ensures stable engine output, reduces fuel consumption, reduces harmful gas emissions, and meets environmental protection requirements.

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Abstract

The invention discloses an HPDI dual-fuel injection control system and method based on a rail pressure signal and a neural network, and relates to the technical field of engine fuel injection control. The collected rail pressure signals are preprocessed, conversion processing of converting time domain signals into frequency domain signals is executed to obtain frequency domain characteristics, and frequency band energy in a specific frequency range is extracted; according to the HPDI dual-fuel injection control system and method based on the rail pressure signal and the neural network, the new oil injector and the abraded oil injector correspond to different initial coefficients respectively, and can well adapt to different abrasion stages of the oil injectors; meanwhile, in order to effectively solve the problem that a traditional method is poor in adaptability to complex working conditions and the dynamic state of the fuel injector, the collected rail pressure signals cover multiple working conditions such as engine idling and acceleration, the neural network model can fully learn different working condition characteristics, and the system can stably operate in complex scenes.
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