Fuel Injector Flow Rate Modeling for Accurate Coking Detection
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Solution Overview
Problem
Internal combustion engines face challenges in accurately detecting and correcting coking in fuel injectors, which affects the flow rate and fuel quantity due to interactions with other tolerances and ambient influences, leading to errors in injection quantity.
Innovation Solution
A data-based model combining multiple calculation methods, particularly using machine learning and artificial neural networks, is employed to determine the flow rate of fuel injectors, adapting activation parameters without additional sensors, by integrating scalar injection system variables and geometric parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single calculation method is used to determine coking, then the device complexity is low, but the measurement precision is insufficient due to interactions with other tolerances and ambient influences
Solution Approach 1:
The patent combines multiple calculation methods (e.g., needle closing duration method, pressure gradient method, injection quantity method) into a unified data-based model. This model integrates various input variables from different measurement approaches to determine the flow rate and coking degree, thereby improving measurement precision while managing complexity through systematic integration
2Measurement precision
If correction of activation parameter is based on closing point in time of nozzle needle, then the ease of operation is simple, but the measurement precision of injection quantity is insufficient due to direct correlation of errors
Solution Approach 1:
The patent introduces a data-based model as an intermediary between the closing point in time measurement and the activation parameter correction. This model processes multiple input variables including closing duration, pressure gradients, and injection quantities to determine a corrected activation parameter, thereby reducing direct error correlation while maintaining operational simplicity
Data Source
AI summary
A method for ascertaining a variable characterizing a flow rate of a fuel injector during an operation of an internal combustion engine, to which the fuel injector is assigned. At least two input values for a data-based model are ascertained, and at least one output value is determined with the aid of the data-based model, on the basis of which a value for the variable characterizing the flow rate of the fuel injector is ascertained. The data-based model combines at least two methods differing from one another for ascertaining a variable characterizing a flow rate of a fuel injector.