Air-Fuel Mixture Pilot Control Using Neuronal Correction Encoder
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Solution Overview
Problem
Conventional mixture pilot control methods for internal combustion engines are too inaccurate, relying only on load, rotational speed, and engine temperature, leading to rough adjustments of the air-fuel ratio before lambda control is ready for use.
Innovation Solution
The method evaluates additional operating parameters such as injection strategy, engine operation mode, exhaust catalyst state, intake air temperature, and transmission position to determine further correction factors, using a neuronal correction encoder to generate precise adjustments for the air-fuel mixture composition during mixture pilot control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mixture pilot control uses only load, rotational speed, and engine temperature for correction, then the control system remains simple, but the air-fuel ratio adjustment accuracy is insufficient
Solution Approach 1:
The correction factors are segmented into multiple independent components: a first correction factor based on operating parameters (load, rotational speed, temperature) and a second correction factor based on additional parameters (injection strategy, engine operation mode, exhaust catalyst state, intake air temperature, transmission position). This segmentation allows each factor to be calculated independently and combined, improving accuracy without creating a monolithic complex system.
Solution Approach 2:
The method performs preliminary determination of multiple correction factors before lambda control activation. By pre-calculating both the first correction factor (from operating parameters) and the second correction factor (from additional parameters) before lambda control is ready, the system prepares accurate air-fuel ratio adjustments in advance, reducing the need for significant re-adjustment when lambda control activates.
2Measurement precision
If additional operating parameters are evaluated to determine further correction factors, then mixture pilot control precision improves, but computational requirements increase
Solution Approach 1:
The system evaluates additional operating parameters and determines second correction factors only when necessary - specifically before lambda control activation and in situations where improved precision is needed. This partial application of the enhanced correction method avoids continuous high-computation operations, reducing energy consumption while still achieving the precision benefits when required.
3Reliability
If correction factors are determined only from operating parameters, then the control algorithm remains simple, but the air-fuel ratio adjustment is too rough before lambda control activation
Solution Approach 1:
The method merges two distinct correction approaches: the first correction factor derived from traditional operating parameters (load, rotational speed, temperature) and the second correction factor derived from additional parameters (injection strategy, engine operation mode, exhaust catalyst state, intake air temperature, transmission position). By combining these two correction factors, the system achieves more reliable air-fuel ratio adjustment without requiring a complete redesign of the control algorithm.
Solution Approach 2:
The correction factors act as intermediary variables that mediate between the raw operating parameters and the final air-fuel ratio control decisions. By introducing these intermediate correction factors (both first and second types), the system can progressively refine the air-fuel ratio without direct complex control logic, improving reliability through stepped refinement.
Data Source
AI summary
A mixture pilot control for operating an internal combustion engine, in particular a gasoline engine of a motor vehicle, is provided. The mixture pilot control determines at least one composition of an air-fuel mixture required for a predetermined target air-fuel mixture ratio. The internal combustion engine is also provided with a lambda control with at least one lambda probe arranged in the exhaust gas flow of the internal combustion engine for determining a deviation of the actual air-fuel ratio from the predetermined target air-fuel ratio. Operating-parameter-dependent correction factors for the composition of the air-fuel mixture by the mixture pilot control are determined in dependence on the lambda control deviation, at least one of the load and/or the rotational speed and/or the temperature of the internal combustion engine, and further operating parameters of the vehicle other than the load, rotation speed or temperature of the internal combustion engine.