DOC Damage Estimation Using Exhaust Temperature and Cumulative Stress
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Purification devices in internal combustion engines, such as diesel oxidation catalysts (DOC), can become blocked by particulate matter, leading to deteriorated exhaust gas flow and ineffective regeneration control, necessitating an accurate method to estimate the degree of damage for maintenance purposes.
Innovation Solution
A diagnosis device and method that acquire cumulative data on stress parameters and exhaust gas temperatures from multiple internal combustion engines, identify the relationship between damage and temperature, and estimate the degree of damage to the purification device using a relational expression, allowing for accurate assessment of DOC blockage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the purification device is provided upstream in the exhaust passage to purify exhaust gas, then exhaust gas purification is improved, but the DOC may become blocked by particulate matter leading to deteriorated exhaust gas flow
Solution Approach 1:
The system performs preliminary damage estimation by accumulating stress parameters and temperature data over time, identifying the degree of damage before actual blockage occurs. This allows maintenance to be scheduled proactively, preventing the DOC from becoming fully blocked and ensuring continuous effective operation of the purification device.
Solution Approach 2:
The system continuously monitors exhaust gas temperature and cumulative stress parameters, providing feedback on the purification device's condition. By establishing relational expressions between damage degree and temperature characteristics, the system can detect degradation trends and adjust maintenance scheduling accordingly, preventing blockage while maintaining purification effectiveness.
2Reliability
If the DOC is blocked leading to deteriorated exhaust gas flow, then regeneration control cannot be smoothly executed, but frequent maintenance increases operational downtime
Solution Approach 1:
The system accumulates stress parameters and temperature data over the device's operational life, performing damage estimation before actual failure occurs. This preliminary assessment allows maintenance to be scheduled at optimal intervals, ensuring regeneration control remains smooth while minimizing unnecessary maintenance downtime through data-driven decision making.
Solution Approach 2:
The system changes from fixed-schedule maintenance to condition-based maintenance by monitoring cumulative stress parameters and temperature characteristics. By tracking these parameters and comparing them against established relational expressions, the system optimizes maintenance timing to prevent blockage while reducing unnecessary maintenance events, thereby minimizing operational downtime.
3Measurement precision
If cumulative data from multiple devices is used to identify damage degree, then estimation accuracy is improved, but data processing complexity increases
Solution Approach 1:
The system establishes universal relational expressions that can be applied across multiple purification devices by identifying common patterns in cumulative stress parameters and temperature characteristics. This multi-functional approach allows data from various devices to be processed using the same analytical framework, improving estimation accuracy while avoiding the need for device-specific complex processing algorithms.
Solution Approach 2:
The system transforms raw cumulative data and temperature profiles into standardized damage degree metrics through established relational expressions. By converting diverse data from multiple devices into a common damage assessment framework, the system improves estimation accuracy while simplifying data processing through parameter standardization and normalization.
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 appropriate estimation of the degree of damage to purification devices, facilitating timely maintenance and preventing regeneration control issues by using temperature differences and cumulative stress data to predict blockage levels.
Implementation Method 1
a diesel oxidation catalyst (DOC), which is an oxidation catalyst, and a catalyzed soot filter (CSF), raises a temperature of the exhaust gas, and burns and removes particulate matter (PM) in the exhaust gas
Data Source
AI summary
A management device 100 includes: a data acquisition unit 122 configured to acquire cumulative data for each parameter related to stress acting on a DOC 33 configured to purify exhaust gas of an engine and an exhaust gas temperature of the exhaust gas raised for purification; a damage degree identification unit 123 configured to identify a degree of damage to the DOC 33 based on the acquired cumulative data; a relationship identification unit 124 configured to identify a relational expression indicating a relationship between the identified degree of damage and the exhaust gas temperature; an target information acquisition unit 125 configured to acquire an exhaust gas temperature of exhaust gas raised for purification performed by the DOC 33; and a diagnosis unit 126 configured to estimate a degree of damage to the DOC 33 based on the acquired exhaust gas temperature and the identified relational expression.