Self-Learning Fuel Pressure Control for High-Pressure Variable Delivery Pumps
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Solution Overview
Problem
The existing direct injection systems for internal combustion engines face challenges in accurately monitoring and controlling the fuel pressure in the common rail due to variations in the nominal functioning feature of high pressure pumps, caused by deterioration and production/assembly dispersion, leading to potential safety and comfort issues for vehicle drivers.
Innovation Solution
A self-learning method for the high pressure, variable delivery pump that uses an electronic control unit and solenoid valves to adjust the fuel delivery based on real-time pressure measurements, allowing for continuous adaptation and correction of the nominal functioning feature, thereby maintaining optimal fuel pressure and injection efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a high pressure variable delivery pump is used to maintain fuel pressure in the common rail, then fuel injection performance is improved, but manufacturing variations and deterioration cause deviations in the nominal functioning feature leading to inaccurate pressure control
Solution Approach 1:
The electronic control unit performs self-learning by autonomously detecting deviations between expected and actual fuel pressure values, automatically calculating correction values, and adjusting the pump control signals without external intervention. This self-service mechanism compensates for manufacturing variations and deterioration, maintaining accurate pressure control despite pump non-uniformity
Solution Approach 2:
The system implements a feedback loop where the electronic control unit continuously monitors fuel pressure in the common rail, compares actual values with expected values based on the control signal, detects deviations, and adjusts subsequent control signals accordingly. This closed-loop feedback enables real-time compensation for pump functioning deviations, resolving the contradiction between manufacturing precision and pressure control accuracy
2Measurement precision
If the closing angle of the solenoid valve is adjusted to compensate for pump variations, then fuel pressure accuracy is improved, but the system complexity increases due to the need for continuous monitoring and correction
Solution Approach 1:
The electronic control unit performs multiple functions using the same hardware resources: it controls the solenoid valve closing angle, monitors fuel pressure, calculates expected pressure values, detects deviations, and generates correction signals. By making the control unit multi-functional, the system achieves high measurement precision and automatic compensation without proportionally increasing device complexity
Solution Approach 2:
The control system performs self-diagnosis and self-correction by automatically detecting pressure deviations and adjusting control parameters without external intervention. This self-service capability enables the system to maintain accurate pressure measurement and control while minimizing the need for additional dedicated hardware, thus managing complexity
3Reliability
If self-learning is implemented to adapt to pump deterioration over time, then long-term reliability is improved, but the learning process requires additional time and computational resources
Solution Approach 1:
The self-learning process operates continuously during normal engine operation rather than requiring separate calibration phases. The electronic control unit continuously monitors fuel pressure, compares actual values with expected values, and progressively builds an accurate model of pump functioning characteristics. This continuous learning approach ensures long-term reliability while minimizing the perception of learning time, as adaptation occurs seamlessly during regular operation
Solution Approach 2:
The system performs preliminary assessments of pump performance during initial operation and progressively refines the functioning model over time. By starting to learn immediately upon operation rather than requiring a dedicated setup phase, the system prepares the compensation mechanism in advance, reducing the impact of learning time on overall system performance
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 enhances the reliability and cost-effectiveness of the internal combustion engine by accurately recognizing and adapting to variations in the high pressure pump's functioning, ensuring consistent fuel delivery and maintaining driver safety and comfort.
Implementation Method 1
a method for self-learning the variation of a nominal functioning feature of a high pressure, variable delivery pump (6) in an internal combustion engine (2)
Data Source
AI summary
A method for the self-learning of the variation of a nominal functioning feature of a high pressure pump in an internal combustion engine, which pump feeds fuel to a common rail and is controlled by a solenoid valve depending on an objective pressure inside the common rail and by using the nominal functioning feature which provides a delivery of fuel; in cut-off conditions of the engine, the method includes determining the value of the pressure leaks due to blow-by in the common rail; measuring the real pressure of the fuel inside the common rail; actuating the high pressure pump by controlling the solenoid valve with a predetermined closing angle; measuring the real pressure of the fuel inside the common rail again; determining a pressure deviation between the real pressure and an expected pressure of the fuel, and correcting the nominal functioning feature according to this deviation.