Fuel Injector Control System for Delivery Accuracy
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Solution Overview
Problem
Existing fuel injection systems face challenges in accurately delivering fuel due to variations in fuel injector characteristics, leading to inconsistent fuel injection across different engine operating conditions, which affects engine performance and efficiency.
Innovation Solution
A fuel control system that includes a parameter determination module, a parameter learning module, and an injector driver module, which determines and adjusts fuel injector parameters based on engine operating conditions, learning characteristics over time to optimize fuel delivery by calculating derivatives of voltage differences across the fuel injector, thereby compensating for manufacturing differences and improving fueling accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fuel injector parameters are determined based on manufacturer specifications, then device complexity is reduced, but fuel delivery accuracy deteriorates due to manufacturing variations
Solution Approach 1:
The system performs preliminary characterization of each fuel injector during manufacturing or initial operation, storing baseline parameters such as voltage characteristics, flow rates, and response times. This pre-acquired data is used to create injector-specific lookup tables that compensate for manufacturing variations, thereby improving fuel delivery accuracy without adding complex real-time determination logic.
Solution Approach 2:
The system implements feedback mechanisms where actual fuel injection performance is monitored and compared against target values. Based on this feedback, the control module adjusts injector parameters and updates lookup tables to compensate for deviations caused by manufacturing variations. This closed-loop approach maintains high fuel delivery accuracy while keeping the determination process manageable.
2Measurement precision
If fuel injector characteristics are learned continuously, then fuel delivery accuracy is improved, but loss of time increases during the learning process
Solution Approach 1:
The system performs initial characterization of fuel injectors during manufacturing or first-time operation, establishing baseline parameters and creating lookup tables before normal operation begins. This preliminary action captures the majority of injector-specific characteristics, allowing the system to achieve high accuracy without requiring extensive continuous learning during vehicle operation.
Solution Approach 2:
The system implements periodic learning cycles where injector characteristics are updated at scheduled intervals or under specific operating conditions rather than continuously. During normal operation, the system uses stored lookup tables for fast parameter determination, while periodic updates refine the learned characteristics, balancing accuracy improvement with minimal time loss.
3Adaptability or versatility
If engine operating conditions are extensively mapped, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system segments the engine operating range into distinct zones or regions (e.g., idle, part-throttle, wide-open throttle, low-speed, high-speed) and creates separate lookup tables or parameter sets for each zone. This segmentation allows the system to handle diverse operating conditions effectively while keeping each individual parameter set manageable in size and complexity.
Solution Approach 2:
The system implements a universal control architecture that uses the same basic determination logic and data structures across all engine operating conditions. By creating a multi-functional framework that can handle different operating zones with consistent methods, the system achieves high adaptability without proportionally increasing overall complexity.
Data Source
AI summary
A fuel control system according to the principles of the present disclosure includes a parameter determination module, a parameter learning module, and an injector driver module. The parameter determination module determines a parameter of a fuel injector in an engine at an operating condition of the engine. The parameter learning module identifies index values in a table based on the engine operating condition and adjusts learned values of the fuel injector parameter corresponding to the index values based on the determined value of the fuel injector parameter. The injector driver module selectively applies power to the fuel injector based on the learned values.