Diagnosis Evaluation Time Determination for SCR Catalysts
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Solution Overview
Problem
Determining a suitable evaluation time for diagnosis methods in components, such as SCR catalysts, is challenging due to the difficulty in accounting for the accuracy and data basis development over time, leading to potential early or late evaluation issues that affect the frequency and reliability of fault detection.
Innovation Solution
The method involves replacing measured sensor values with calculated model values to simulate the diagnosis process, setting a threshold for result values, and determining the evaluation time when these values reach the threshold, ensuring a sufficient data basis for accurate and frequent diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the diagnosis is evaluated too early, then the frequency of diagnosis is improved, but the accuracy and reliability of the diagnosis deteriorates because the monitoring criterion has not yet developed sufficiently
Solution Approach 1:
The patent applies preliminary action by performing a simulation of the diagnosis method before actual evaluation to determine the appropriate evaluation time. The simulation runs the diagnosis method with measured sensor values replaced by calculated model values, allowing the system to identify when the monitoring criterion has developed sufficiently without waiting for real-time conditions to mature naturally.
Solution Approach 2:
The patent uses copying by creating a simulated version of the diagnosis method that mirrors the actual diagnosis process. This simulation copy allows evaluation of the monitoring criterion's development over time without affecting the actual diagnosis frequency or accuracy, enabling optimal timing determination through threshold comparison in the simulated environment.
2Measurement precision
If the diagnosis is evaluated too late, then the accuracy of the diagnosis is improved, but the frequency of diagnosis deteriorates due to longer monitoring periods
Solution Approach 1:
The simulation approach enables preliminary determination of the optimal evaluation time point, allowing the system to evaluate the diagnosis at the precise moment when sufficient accuracy is achieved without unnecessarily extending the monitoring period, thus maximizing diagnosis frequency while maintaining accuracy.
Solution Approach 2:
The patent applies dynamics by making the evaluation time flexible and adaptive rather than fixed. The simulation determines the evaluation time dynamically based on when the monitoring criterion reaches a sufficient development level, allowing the system to adapt to varying operating conditions and component states while optimizing both accuracy and frequency.
3Ease of operation
If a fixed time window or integral condition is used for monitoring, then the ease of operation is improved, but the ability to account for data basis development over time deteriorates
Solution Approach 1:
The simulation performs preliminary analysis of how the monitoring criterion develops over time under different conditions, enabling the system to adapt evaluation timing to actual data basis development rather than relying on fixed time windows. This maintains operational simplicity through automated simulation-based determination while achieving adaptability to varying learning curves and operating conditions.
Solution Approach 2:
The patent applies parameter changes by allowing the evaluation time parameter to vary based on simulation results rather than remaining fixed. The simulation identifies optimal evaluation timing by analyzing how monitoring criterion parameters evolve over time, enabling the system to adjust evaluation timing parameters to match actual data basis development patterns for different components and operating conditions.
Data Source
AI summary
A method of determining a suitable evaluation time for a diagnosis method for the diagnosis of a component, wherein the diagnosis method is based on at least one measured sensor value and at least one modeled comparative value (cOBDsim), wherein the method comprises: replacing, in the diagnosis method, at least one measured sensor value with a calculated model value (cBPU), where the model (20) for the calculation of the model value is a model of the component in a state that is to be recognized by the diagnosis method; executing (102, 104, 106) the diagnosis method with the calculated model value; obtaining a result value (aOBDsim) of the diagnosis method; repeating the preceding steps until the result value attains a defined threshold value; and fixing the suitable evaluation time in the diagnosis method as the time after which the result value has attained the threshold value.