SCR Diagnostic Module for Catalyst and Dosing Fault Detection

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Solution Overview

Problem

Current diagnostic systems for selective catalytic reduction (SCR) systems lack the ability to accurately determine faults in dosing agents and catalysts, as they do not provide clear information on which component contributes to poor conversion efficiency, leading to inefficient NOx reduction in exhaust gases.

Innovation Solution

The implementation of a diagnostic module using two NOx sensors, one upstream and one downstream from the SCR system, which are cross-sensitive to NH3, allowing for the determination of NOx and NH3 concentrations. This module calculates conversion efficiency and diagnoses faults in the catalyst or dosing agent based on the comparison of these concentrations, identifying issues such as catalyst degradation or poor-quality urea.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a single NOx sensor is used to monitor exhaust gas, then the system structure is simple, but the ability to diagnose faults in dosing agent and catalyst is insufficient

Engineering Contradiction:
Improvefault diagnosis precisionVSAvoidsensor system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the monitoring function into two separate sensors: a first NOx sensor upstream of the SCR device to measure inlet NOx concentration, and a second NOx sensor downstream to measure outlet NOx concentration. This segmentation allows independent monitoring of each component's performance and enables precise fault diagnosis by comparing the two measurements.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary calculation approach by computing the difference between upstream and downstream NOx concentrations to determine conversion efficiency. This intermediary metric serves as a mediator that translates raw sensor data into diagnostic information, enabling fault detection without requiring complex sensor arrays.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If conversion efficiency is not monitored, then the system operation is simple, but the ability to identify catalyst degradation or dosing agent issues is limited

Engineering Contradiction:
Improvesystem reliabilityVSAvoidmonitoring system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a feedback mechanism where the difference between upstream and downstream NOx concentrations is continuously monitored to calculate conversion efficiency. This feedback information is then used to diagnose system health, identify catalyst degradation, and detect dosing agent issues, enabling proactive maintenance and reliable operation.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs self-diagnosis by using its own operational data (NOx concentrations from both sensors) to monitor its performance and identify faults. The conversion efficiency calculation serves as a self-service metric that allows the system to assess its own health without external intervention.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If fault diagnosis capability is enhanced with multiple sensors, then the accuracy of identifying catalyst or dosing agent faults improves, but the cost and complexity of the system increase

Engineering Contradiction:
Improvefault detection accuracyVSAvoidsystem implementation ease
Core Design Contradiction:
Measurement precisionVSEase of manufacture

Solution Approach 1:

The patent makes the two NOx sensors multi-functional: they not only monitor conversion efficiency but also specifically diagnose catalyst health and dosing agent quality. The same sensor data serves multiple diagnostic purposes, maximizing the value of the added complexity while maintaining ease of implementation through standard sensor technology.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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 precise fault diagnosis in SCR systems, distinguishing between catalyst and dosing agent issues, thereby improving NOx reduction efficiency and reducing emissions by accurately identifying and addressing system inefficiencies.

Implementation Method 1

A first sensor determines a first concentration of NOx

Methodology Applied
Scientific EffectNOx detection:

Implementation Method 2

A second sensor determines a second concentration of NOx and NH3

Methodology Applied
Scientific EffectNOx and NH3 detection:

Implementation Method 3

Urea breaks down to form ammonia (NH3) through thermal decomposition

Methodology Applied
Scientific EffectThermal decomposition: Pyrolysis

Implementation Method 4

NH3 is the reductant that reacts with NOx over the catalyst in the SCR system

Methodology Applied
Scientific EffectCatalysis: Catalysis

Data Source

PatentUS9657630B2Diagnostic systems and methods for selective catalytic reduction (SCR) systems based on NOx sensor feedback
Publication Date: 2017.05.23 GM GLOBAL TECHNOLOGY OPERATIONS LLC
  • US9657630B2 patent drawing
  • US9657630B2 patent drawing
  • US9657630B2 patent drawing

AI summary

A selective catalytic reduction (SCR) system includes a first sensor that determines a first concentration of NOx, a second sensor that determines a second concentration of NOx and NH3, and a fault determination module. The fault determination module diagnoses a fault in at least one of a dosing agent and a catalyst in an SCR device based on the first and second concentrations.