Multipulse Fuel Injection Interaction Compensation
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Solution Overview
Problem
Existing fuel injection systems face challenges in efficiently controlling multipulse fuel injection events due to fueling interactions between pulses, leading to variations in fuel delivery that affect engine performance, emissions, and noise vibration harshness (NVH).
Innovation Solution
A method and system that utilize a processing unit to measure and adapt to fueling interactions between pilot and main pulses during multipulse fuel injection events. This involves using a fueling interaction model to determine adjustments to pulse timing and fuel quantity, accounting for factors like initial pressure, pulse separation, and injector characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the separation between pilot pulse and main pulse is reduced to optimize fuel economy and emissions, then fueling interaction effects increase causing variability in delivered fuel quantity
Solution Approach 1:
The system measures the actual fueling interaction between pilot and main pulses using sensors and a processing unit, then uses this measured data to adaptively adjust injection parameters. This closed-loop feedback approach compensates for production variations and age-related drift, maintaining precise fuel delivery control even at small pulse separations where interaction effects are strong.
Solution Approach 2:
The system dynamically adjusts injection parameters including pulse separation timing, pilot injection quantity, and main injection quantity based on measured fueling interaction characteristics. By changing these parameters adaptively rather than using fixed calibration values, the system optimizes fuel economy while compensating for interaction effects that cause fuel delivery variability.
2Ease of manufacture
If open-loop fueling interaction compensation is used to account for pulse interaction, then calibration work can be performed, but performance changes due to production variation and age-related drift negatively impact engine performance
Solution Approach 1:
The patent implements a closed-loop system that continuously measures fueling interaction using sensors (such as pressure sensors in the common rail system) and a processing unit. This measured feedback data is used to adaptively compensate for production variations and age-related drift, ensuring consistent engine performance over time rather than relying on fixed open-loop calibration values that deteriorate with injector aging.
Solution Approach 2:
The system performs self-diagnosis and self-adjustment by measuring its own fueling interaction characteristics and automatically adapting injection parameters to compensate for degradation. This self-service capability eliminates the need for external recalibration and maintains reliable performance consistency throughout the injector's operational life.
3Use of energy by moving object
If multiple pulses are used in multipulse fuel injection, then fuel economy and emissions can be optimized, but fueling interaction effects are compounded delivering more or less fuel than commanded
Solution Approach 1:
The system measures the cumulative fueling interaction effects across multiple pulses in the sequence using sensors and processing unit calculations. This feedback information is used to adaptively adjust subsequent pulse parameters, compensating for the compounded interaction effects that would otherwise cause significant deviations from commanded fuel quantities.
Solution Approach 2:
The system dynamically adjusts injection parameters for each pulse in the multipulse sequence based on real-time measurements of interaction effects. Rather than using fixed predetermined values, the system adapts pilot and main pulse timing and quantities dynamically to account for cumulative interaction, maintaining accurate fuel delivery despite the compounding effects of multiple pulses.
Data Source
AI summary
The present invention provides a method for analyzing and optimizing the injection of fluid into an internal combustion engine via a common rail system. Once various injection parameters are determined for a given injection system, these data may be used to model the effect of sequential injection events for the system. A processer can then be used to run the model and to adjust sequential fuel injection events to optimize engine performance and fuel usage.