Data Processing Method for Engine Intake Air Volume Control
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Solution Overview
Problem
The existing data processing methods for internal combustion engines, such as gasoline engines, suffer from precision deterioration and control issues due to cyclic fluctuations in data transmission and processing delays, leading to a swell phenomenon, which can be mitigated but at the cost of increased computational load and high-performance requirements.
Innovation Solution
A data processing method where measurement data from a sensor is processed in a cycle longer than the transmission cycle, with an intermediate acquisition cycle for calculating an average value, using bit-shifting and averaging to reduce processing load while improving precision, specifically applicable to intake air volume data in internal combustion engines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the ECU executes data processing at a cycle longer than the data transmission cycle of the air flow meter, then the load of computation processing is suppressed, but the delay time fluctuates cyclically and precision of computation processing deteriorates
Solution Approach 1:
The patent segments the data processing task into two distinct cycles: an intermediate acquisition cycle for collecting measurement data and a main processing cycle for computation. This segmentation allows the system to acquire data more frequently without increasing the computational load cycle, thereby reducing delay time fluctuations while maintaining suppressed processing load.
Solution Approach 2:
The patent introduces an intermediate acquisition cycle as a mediator between the fast data transmission cycle and the slow computation processing cycle. This intermediate cycle buffers the measurement data, allowing frequent data acquisition without requiring frequent high-load computation, thus resolving the contradiction between processing load and precision.
2Measurement precision
If the processing cycle of the ECU is shortened, then the delay time is reduced and the swell phenomenon is suppressed, but the load of computation processing increases and costs increase
Solution Approach 1:
The patent divides the processing cycle into an intermediate acquisition cycle (shorter) and a main processing cycle (longer). This allows the system to benefit from more frequent data acquisition (reduced delay) while maintaining a longer overall processing cycle (suppressed computational load), effectively resolving the contradiction between delay time and processing load.
Solution Approach 2:
The patent performs partial action by acquiring data more frequently than the main processing cycle would suggest, but only performs full computation processing at the longer main cycle interval. This partial acquisition without full processing at every interval reduces delay while avoiding excessive computational load.
3Productivity
If the processing cycle is longer than the data transmission cycle, then computation load is reduced, but error occurs in measurement data values due to cyclic fluctuation of delay time and intake pulsation
Solution Approach 1:
The patent segments data handling into an intermediate acquisition phase and a main processing phase. The acquisition phase operates at a shorter cycle to capture data points that account for intake pulsation variations, while the main processing phase uses these acquired data points to compute accurate values, thus maintaining reliability without increasing overall processing load.
Solution Approach 2:
The patent performs preliminary data acquisition in the intermediate cycle before the main processing cycle. By pre-acquiring multiple data points that span the intake pulsation cycle, the system prepares corrected measurement data in advance, ensuring accuracy when the main processing occurs without requiring a shorter main processing cycle.
Data Source
AI summary
A data processing method is a data processing method in which variable measurement data transmitted from a sensor at a first cycle is computationally processed at a second cycle that is longer than the first cycle. The measurement data is acquired in a third cycle that is longer than the first cycle and shorter than the second cycle, an average value of the acquired measurement data is calculated at the second cycle, and computation processing thereof is performed.