Urea Pump Pressure-Build Monitoring for Service Life Prediction
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Solution Overview
Problem
The existing methods for predicting the remaining service life of a urea pump in engines are inaccurate due to the complex and unpredictable operating environment, relying solely on theoretical research without considering real-world conditions.
Innovation Solution
A method that monitors pressure build-up duration and operating condition degradation during an engine cycle, combining historical data and real-time parameters to calculate a degradation duration, which is then subtracted from a calibrated service life to predict the remaining service life of the urea pump.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional theoretical research is used for predicting remaining service life, then the prediction method is simple, but the prediction accuracy is low
Solution Approach 1:
The patent implements feedback by continuously monitoring the pressure build-up duration of the urea pump and comparing it against historical data and thresholds. The system adjusts the remaining service life prediction based on real-time monitoring results, creating a closed-loop prediction mechanism that improves accuracy while maintaining manageable complexity through automated feedback processing.
Solution Approach 2:
The patent replaces conventional theoretical research methods with an empirical monitoring approach based on actual pressure build-up duration measurements. This substitution of measurement-based empirical data for theoretical calculations significantly improves prediction accuracy while the automated processing keeps the system complexity acceptable.
2Measurement precision
If real-time monitoring of pressure build-up duration is implemented, then the prediction accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent applies universality by using the existing engine control unit to perform multiple functions: it monitors pressure build-up duration, stores historical data, performs threshold comparisons, and calculates remaining service life predictions. This multi-functionality approach improves prediction accuracy while avoiding the need for separate dedicated monitoring hardware, thus controlling system complexity.
3Reliability
If historical data and real-time parameters are combined for prediction, then the prediction reliability is improved, but the data processing complexity increases
Solution Approach 1:
The patent applies partial action by focusing on monitoring and utilizing only the most critical parameter - pressure build-up duration - rather than attempting to process all possible operating parameters. This selective approach combines historical and real-time data effectively to improve reliability while keeping data processing complexity manageable through targeted parameter selection.
Data Source
AI summary
A method for predicting a remaining service life of a urea pump is provided. The method includes monitoring a pressure build-up duration, acquiring an operating condition degradation duration based on the pressure build-up duration, and subtracting a degradation duration from a calibrated remaining service life of the urea pump to obtain a prediction result of the remaining service life of the urea pump. The pressure build-up duration is a duration of a successful pressure build-up process during a latest driving cycle of an engine provided with the urea pump. The successful pressure build-up process is a process during which a pump pressure value of the urea pump increases from a first preset value to a second preset value. The calibrated remaining service life is obtained by subtracting an operating duration of the urea pump from a calibrated service life of the urea pump.