Exhaust Gas Temperature Prediction for Internal Combustion Engine Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for controlling internal combustion engines based on expected exhaust gas temperatures are limited in predicting future thermal states of the exhaust gas system, leading to suboptimal engine operation, increased pollutant emissions, and reduced component lifespan.
Innovation Solution
The method involves assigning fictitious engine operating data to expected driving routes, subdividing the route into sections with specific parameters, and linking first and second exhaust gas temperature expected values to predict the thermal state of exhaust gas system components, using weighting factors based on accuracy estimates and incorporating GPS, navigation, and telematic data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current methods for controlling internal combustion engines based on expected exhaust gas temperatures are used, then engine operation can be optimized to some extent, but the prediction of future thermal states of the exhaust gas system is limited, leading to suboptimal engine operation, increased pollutant emissions, and reduced component lifespan
Solution Approach 1:
The system performs preliminary calculations of exhaust gas temperatures for future time points by processing route data and engine operating parameters in advance. Temperature profiles are computed for multiple ahead-of-time points along the driving route, enabling proactive optimization of engine operation before the actual thermal states occur, thereby improving prediction accuracy and reducing emissions through advance planning
Solution Approach 2:
The driving route is divided into multiple route sections, and the temperature prediction is performed separately for each section. This segmentation allows the system to capture local variations in thermal states along different portions of the route, improving overall prediction accuracy by treating each segment independently rather than using a single averaged prediction
2Loss of time
If current prediction methods are used, then some engine control optimization is possible, but the prediction horizon is limited, resulting in reduced ability to optimize engine control for future thermal states
Solution Approach 1:
The system extends the prediction horizon by calculating exhaust gas temperatures for multiple future time points along the driving route. By processing route data and computing temperature profiles ahead of time for various future positions, the system provides a longer lookahead capability that enables more comprehensive engine control optimization strategies
Solution Approach 2:
The system transitions from predicting a single future temperature value to generating a temperature profile across multiple time dimensions and spatial positions along the route. This multi-dimensional approach (combining time, position, and temperature) expands the prediction horizon and provides richer information for optimization
3Productivity
If more accurate prediction methods are implemented, then engine control can be optimized better, but this would increase fuel consumption and reduce component lifespan due to suboptimal operation
Solution Approach 1:
The system uses predicted temperature profiles as feedback to continuously optimize engine operation. By comparing predicted future thermal states with target operating conditions, the control system adjusts engine parameters proactively to maintain optimal operation, thereby improving productivity while actually reducing fuel consumption through efficient control strategies
Solution Approach 2:
The system performs preliminary optimization calculations based on predicted temperature profiles before the actual operating conditions occur. This advance planning enables the engine to be operated optimally from the start rather than reacting to suboptimal conditions, thereby improving productivity while minimizing fuel consumption through proactive control
4Duration of action of stationary object
If current temperature prediction approaches are used, then basic engine operation is maintained, but the lifetime of exhaust gas system components is reduced due to inability to maximize component lifespan
Solution Approach 1:
The system performs preliminary assessment of future thermal states by calculating exhaust gas temperature profiles along the driving route. By knowing anticipated thermal conditions in advance, the system can implement protective control strategies before excessive thermal stress occurs, thereby extending component lifespan through proactive thermal management
Solution Approach 2:
The system provides beforehand cushioning against thermal stress by predicting future temperature profiles and adjusting engine operation to prevent excessive thermal loading of exhaust gas system components. This proactive approach cushions components from damaging thermal excursions before they occur, extending lifespan through preventive thermal management
Data Source
AI summary
A method is provided for controlling an internal combustion engine as a function of an expected value of a temperature of a component of an exhaust gas system, route data of an expectable driving route being assigned values of exhaust gas temperatures. The method is characterized in that the route data are assigned engine operating data which are expectable when passing through the expectable driving route and in that a first exhaust gas temperature expected value is computed and assigned to a route section, in that the route is subdivided into characterizable route sections, in that each of these route sections is assigned a predetermined second exhaust gas temperature expected value which is based on at least one exhaust gas temperature value measured at an earlier point in time, and in that the expected value of the temperature of the component is formed on the basis of linking the first exhaust gas temperature expected value to the second exhaust gas temperature expected value.