Engine CO2 Estimation Control Using MAF-Based Model Correction
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Solution Overview
Problem
Existing methods for calculating CO2 emissions and engine work amount in vehicles are inaccurate under special driving conditions due to the absence of a CO2 sensor, leading to errors in engine control and compliance with regulations.
Innovation Solution
A method and apparatus that utilize a regression model corrected by reflecting vehicle characteristics, using a Mass Air Flow (MAF) sensor to derive accurate CO2 emission and engine work amounts without an additional CO2 sensor, by determining a correction factor to adjust the regression model based on actual emissions and vehicle characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a regression model is used to calculate CO2 emissions without a CO2 sensor, then device complexity is reduced, but measurement precision deteriorates under special driving conditions
Solution Approach 1:
The patent applies feedback by using the MAF sensor to measure actual air flow and compare it with regression model predictions. The difference (residual) is then fed back to correct the regression model parameters, creating an iterative improvement process that enhances measurement precision without adding CO2 sensing hardware.
Solution Approach 2:
The system performs self-service by using existing MAF sensor data to automatically calibrate and correct the regression model. The engine control unit utilizes its own existing measurements to improve the accuracy of CO2 calculations without requiring external CO2 sensors or additional hardware.
2Device complexity
If engine model values are used for CO2 calculation, then device complexity is reduced, but measurement precision deteriorates under special driving conditions such as cooled engine state, regenerating state, and rapid fuel changes
Solution Approach 1:
The patent applies dynamics by making the regression model adaptive rather than static. The model parameters are continuously adjusted based on real-time operating conditions (engine temperature, fuel flow rate, exhaust system state), allowing the system to maintain high reliability across varying driving conditions without increasing device complexity.
Solution Approach 2:
The system changes parameters by modifying the regression model coefficients based on detected operating conditions. When the engine is cooled, during regeneration, or experiencing rapid fuel changes, the system adjusts the model parameters to compensate for these special conditions, maintaining calculation accuracy without adding hardware.
3Measurement precision
If a correction factor is applied to the regression model using MAF sensor data, then measurement precision is improved, but device complexity increases due to additional calculation processes
Solution Approach 1:
The patent applies partial action by using only the necessary MAF sensor data and existing engine parameters to create the correction factor, rather than requiring complete measurement of all exhaust gas components. This partial approach achieves sufficient precision improvement without the complexity of measuring every possible parameter.
Data Source
AI summary
A method for controlling an engine of a vehicle by a controller includes determining whether a running time of the engine exceeds a reference driving time, based on the running time being less than or equal to the reference driving time, determining a first CO2 emission amount corresponding to the driving time by utilizing an MAF sensor, determining a model CO2 amount based on a first regression model that has correlation data between a combusted fuel amount and a CO2 emission amount of the engine, comparing the first CO2 emission amount with the model CO2 amount, determining a correction factor to adjust the first regression model based on comparing the first CO2 emission amount with the model CO2 amount, determining a second CO2 emission amount through a second regression model generated by applying the correction factor, and controlling the engine based on the second CO2 emission amount.