Fuel Injector Testing via Supply-Line Pressure Correlation
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Solution Overview
Problem
Existing injector testing methods for high-pressure fuel injection systems lack cost-effectiveness and accuracy, particularly in determining injection time and quantity, especially for modern engines with multiple partial injections and tight tolerances.
Innovation Solution
A method and device that utilize pressure profiles in the injector's supply line to determine injection time by selecting the most suitable evaluation method for each injector type and operating point, using correlation analysis and regression functions, and a pressure or structure-borne sound sensor to measure pressure fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing injector testing methods are used, then testing can be performed, but accuracy in determining injection time and quantity is insufficient
Solution Approach 1:
The patent changes the measurement parameter from direct injection time measurement to pressure profile analysis in the supply line. By measuring pressure fluctuations and analyzing their temporal characteristics, the injection time is indirectly determined with higher accuracy and reliability across different injector types and operating conditions.
2Adaptability or versatility
If a universally applicable injection time determination method is sought, then versatility is improved, but measurement precision deteriorates due to varying pressure profiles
Solution Approach 1:
The patent implements a dynamic selection mechanism that adapts the pressure profile evaluation method based on the specific injector type and operating conditions. The system evaluates different pressure profile characteristics and selects the most suitable evaluation method dynamically, maintaining high measurement precision across diverse applications while preserving universal applicability.
3Measurement precision
If multiple evaluation methods are applied to pressure profiles, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent employs a feedback mechanism where the system continuously evaluates pressure profile characteristics and selects the most appropriate evaluation method based on the observed data. This feedback-driven selection process automatically adapts to different injector types and operating conditions, achieving high measurement precision while managing complexity through automated decision-making.
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
Enables accurate and robust injector testing across various types and operating conditions, reducing costs and maintenance, and is suitable for both new and existing systems, with high precision and flexibility for multiple partial injections.
Implementation Method 1
opening and closing the injector generates pressure waves in the injector's supply line, and that the injection time (i.e., the duration the injector is open) can be determined by measuring and evaluating the pressure profile in the supply line
Data Source
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AI summary
The invention relates to a process for selecting a method for determining the injection time of individual injection processes of a fuel injector (2), which can be supplied with pressurized fuel via a feed line (4), comprising the following steps: actuating the fuel injector (2) using various known actuation durations around a predefined operating point of the fuel injector (2); detecting (100) the pressure course over time in the feed line (4) for a number of injection processes; evaluating (200) the detected pressure courses over time using at least two different methods (211, 212, 213) for determining the injection time from the associated pressure course; determining the correlation (221, 222, 223) between the determined injection times and the associated actuation duration; selecting (230) the method with the highest correlation.