UEGO Sensor Controller Fuel Adaptation
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Solution Overview
Problem
Existing aftermarket wideband UEGO sensor controllers lack provisions for alternative hydrocarbon fuels and oxidizers, fail to account for sensitivities to CO and H2, and do not allow real-time calibration, leading to inaccuracies in determining air/fuel mass ratio, especially in motorsport applications where fuel mixes vary and rich-side operation is common.
Innovation Solution
A method and system that calibrate the sensitivity of a universal exhaust gas oxygen sensor to multiple gases, input the molecular composition of Hydrogen, Carbon, Oxygen, and Nitrogen, and perform chemical balance equation calculations to determine the air/fuel mass ratio in real-time, allowing for accurate adjustments to maintain optimal engine conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing aftermarket wideband UEGO sensor controllers are used, then the system is simple and cost-effective, but it lacks provisions for alternative hydrocarbon fuels and oxidizers, leading to inaccuracies in determining air/fuel mass ratio
Solution Approach 1:
The system dynamically adapts to different fuel types by allowing real-time input of fuel composition parameters (hydrocarbon H/C ratio, oxygen content, humidity) through the controller. This enables the controller to adjust its calculations based on the actual fuel being used, transforming a static system into a dynamic one that can handle multiple fuel types without requiring hardware changes.
Solution Approach 2:
The invention changes the operational parameters of the UEGO sensor controller by introducing adjustable fuel composition parameters (H/C ratio, O2 content, humidity levels). These parameter changes allow the same hardware to accurately measure AFR across different fuel types by modifying the calculation basis rather than changing the physical sensor or controller architecture.
2Measurement precision
If fixed calibration values are used for UEGO sensor, then the device is simple and cost-effective, but it cannot account for varying fuel compositions and operating conditions in real-time
Solution Approach 1:
The system performs preliminary calibration of the UEGO sensor using standard procedures, establishing baseline sensitivity values. However, rather than using these fixed values permanently, the system prepares to adjust them based on real-time fuel composition input. This preliminary calibration provides a starting point while leaving room for subsequent real-time adjustments.
Solution Approach 2:
The system implements feedback by continuously monitoring fuel composition parameters (through sensor inputs or user input) and using this information to adjust the AFR calculation in real-time. The feedback loop compares actual fuel composition with expected values and modifies the measurement interpretation accordingly, ensuring accuracy across varying operating conditions.
3Measurement precision
If UEGO sensor sensitivity is not calibrated for multiple gases, then the system is simple, but it fails to account for sensitivities to CO and H2, leading to errors in rich-side operation
Solution Approach 1:
The system achieves universality by calibrating the UEGO sensor's sensitivity to multiple gases (O2, CO, H2) and using these multi-gas sensitivity values in the AFR calculation. This allows the same sensor and controller to accurately measure AFR for various fuel types and operating conditions, including rich-side operation, without requiring separate calibration procedures for each scenario.
Solution Approach 2:
The calibration approach treats the sensor response as a composite effect combining sensitivities to multiple gases (O2, CO, H2). By modeling the sensor output as a composite response to these different gases and using chemical balance equations to relate them, the system achieves accurate AFR measurement that accounts for the combined effect of all relevant gas species.
4Measurement precision
If chemical balance equation calculations are performed in real-time, then accurate AFR determination is achieved, but computational resources and processing time are increased
Solution Approach 1:
The system replaces complex real-time computational chemistry calculations with a simplified mathematical model based on chemical balance equations. Instead of performing full combustion chemistry simulations, the system uses stoichiometric relationships and sensor sensitivity calibrations to derive AFR directly from the UEGO sensor output, significantly reducing computational requirements while maintaining accuracy.
Solution Approach 2:
The system changes the computational approach by pre-calculating and storing sensor sensitivity parameters and fuel composition parameters, then using these pre-processed values in real-time calculations. This parameter transformation reduces the computational burden during real-time operation by working with simplified, pre-conditioned data rather than raw combustion chemistry calculations.
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
Enables precise and real-time determination of air/fuel mass ratio for various fuel mixes, including alternative fuels, by calibrating sensor sensitivities and using chemical balance equations, improving engine control and performance, especially in motorsport applications where fuel compositions change.
Implementation Method 1
A WB oxygen sensor, also known as a universal exhaust gas oxygen (UEGO) sensor, provides a measure of the degree of richness and leanness of the air/fuel ratio
Implementation Method 2
calculating with the universal exhaust gas oxygen sensor controller an air-to-fuel ratio by performing a chemical balance equation calculation based on the universal exhaust gas oxygen sensor sensitivity calibration and the input combustion fuel molecular composition
Data Source
AI summary
A method of determining an air-fuel ratio of an internal combustion engine in real-time includes: calibrating sensitivity of a universal exhaust gas oxygen sensor to a plurality of gases; inputting to a universal exhaust gas oxygen sensor controller a molecular composition of Hydrogen, Carbon, Oxygen, and Nitrogen which comprise a combustion fuel in use in the internal combustion engine; calculating with the universal exhaust gas oxygen sensor controller an air-to-fuel ratio by performing a chemical balance equation calculation based on the universal exhaust gas oxygen sensor sensitivity calibration and the input combustion fuel molecular composition; and transmitting the calculated air-to-fuel ratio to an engine control unit inreal-time.