Injector Misfire Correction via Emergency Single Injection Mode Switch
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Solution Overview
Problem
The existing injector technologies face challenges in reducing misfire deviations between engine cylinders, particularly in multi-stage injection systems, due to insufficient learning conditions and increased injection pressure, which affects combustion stability and Particulate Number (PN) deterioration.
Innovation Solution
A method for learning emergency injection correction that monitors misfire rates and forcibly switches the injector to a single injection mode, adjusts target fuel pressure, and performs injection correction learning to establish optimal injection conditions, thereby reducing misfire deviations and improving combustion stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If multi-stage injection mode is used to reduce PN deterioration, then injector channel caulking is reduced, but injection amount deviation correction learning becomes difficult to secure
Solution Approach 1:
The system performs preliminary injection correction learning during normal operation before misfire occurs. By continuously monitoring misfire rates and accumulating learning data in advance, the system establishes correction values proactively rather than waiting for failure conditions, ensuring learning conditions are secured before they become critical.
Solution Approach 2:
The injection correction learning system uses the engine's own operating conditions and misfire feedback to automatically perform correction learning. The system self-regulates by monitoring its own performance, switching between multi-stage and single injection modes based on learned deviations, and continuously improving injection accuracy without external intervention.
2Object-generated harmful factors
If injection pressure is increased to improve injector performance, then channel caulking is reduced, but misfire deviation between cylinders increases
Solution Approach 1:
The system dynamically changes injection parameters including pressure and duration for each cylinder based on learned deviation characteristics. By adjusting injection parameters individually for each injector, the system compensates for high-pressure induced deviations and maintains consistent injection amounts across all cylinders, preventing misfire while operating at elevated pressures.
3Measurement precision
If single injection mode is used for correction learning, then injection amount accuracy is improved, but multi-stage injection section cannot be secured
Solution Approach 1:
The system dynamically switches between single injection mode (for correction learning) and multi-stage injection mode (for normal operation and PN reduction). This dynamic adaptation allows the system to utilize single injection's measurement accuracy for learning while maintaining multi-stage injection's versatility for emission control during actual operation.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method effectively reduces misfire occurrences and improves combustion stability by urgently updating learning values and correcting injection deviations, even in high-pressure systems, thereby minimizing PN deterioration.
Implementation Method 1
an injector configured to respond to a control signal
Implementation Method 2
a misfire detection device configured to detect a misfire based on a misfire determination parameter
Data Source
AI summary
The present disclosure provides a method for learning emergency injection correction of an injector for preventing misfire. A misfire rate in a multi-stage injection mode is monitored, and it is controlled to be forcibly switched to a single injection mode when the misfire rate by the monitoring is equal to or greater than a specific value, such that injector injection correction learning is performed according to a learning entry condition. Accordingly, it is possible to reduce the deviation between cylinders by the sufficient injection amount deviation correction learning, thereby preventing misfire of the injector.