Fuel Injector Learning Controller for Injection Quantity Deviation
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Solution Overview
Problem
Existing fuel injection systems for automotive internal combustion engines face instability in calculating the average of actual injection quantities due to variations caused by road undulations, leading to inaccuracies in correcting injection duration.
Innovation Solution
A fuel injection system that includes an injection controller performing an average calculating function and an injection quantity-use decision function to determine suitable actual injection quantities for averaging, excluding quantities outside a given range, and re-executing the injection quantity determining function when necessary, to ensure accurate learning of the fuel injector's injection characteristic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the injection quantity learning system calculates actual injection quantity based on engine speed change, then the injection quantity can be determined, but road undulations cause variation in calculated actual injection quantity leading to instability
Solution Approach 1:
The system performs preliminary evaluation of each actual injection quantity against a reference value before including it in the average calculation. This preliminary action filters out abnormal values caused by road undulations, ensuring only reliable measurements contribute to the average, thus maintaining both accuracy and stability.
Solution Approach 2:
The system continuously compares each measured actual injection quantity with the reference value and adjusts the average calculation accordingly. This feedback mechanism eliminates the influence of abnormal values on the average, ensuring stable and accurate injection quantity learning despite external disturbances like road undulations.
2Productivity
If the system includes all measured injection quantities in the average calculation, then more data is used for learning, but abnormal values from road undulations reduce accuracy
Solution Approach 1:
Before including each measured injection quantity in the average calculation, the system performs a preliminary check against the reference value. This preliminary action ensures that only normal, reliable measurements are included, maximizing the use of valid data while excluding abnormal values that would reduce accuracy.
Solution Approach 2:
The system applies different treatment to different data points based on their quality. Normal values within the acceptable range are included in the average calculation, while abnormal values outside the range are excluded. This local quality approach ensures high accuracy by selectively processing data based on its reliability.
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 approach enhances the accuracy of determining the average fuel quantity sprayed, stabilizing the calculation of injection characteristics and minimizing deviations from the target quantity, thereby improving the precision of injection duration correction.
Implementation Method 1
calculate the actual injection quantity based on a change in speed of the engine arising from the spraying of fuel thereinto
Data Source
AI summary
A fuel injection system designed to execute a learning operation to spray fuel through a fuel injector in a cycle to calculate an average of actual injection quantities for correcting an injection duration so as to minimize a deviation of the average from a target quantity. The system samples the actual injection quantities for a given period of time made up of a first and a second time section. In each of the first and second time sections, the system decides whether each of the actual injection quantities is suitable for use in calculating the average or not. When a desired number of the actual injection quantities decided to be suitable for the calculation of the average has been derived in the first time section, the system proceeds to the second time section to calculate the average. This enhances the accuracy in determining the quantity of fuel actually sprayed from the fuel injector.