DeNOx Catalyst SOx Storage Prediction and Regeneration Control
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Solution Overview
Problem
Conventional methods for predicting and managing sulfur oxides (SOx) stored in denitrification (DeNOx) catalysts are inefficient, leading to suboptimal desulfurization processes that affect the purification efficiency and fuel economy of engines, due to reliance on incomplete engine state and temperature data.
Innovation Solution
A method that calculates the mass flow of SOx poisoned and released from the DeNOx catalyst by considering the mass flow of SOx in exhaust gas, volume speed, temperature, and lambda values, using correction coefficients to refine predictions and control the regeneration timing and reducing agent injection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional desulfurization control methods are used considering driving state, temperature, and lambda values, then desulfurization can be performed, but ECUs require large memory capacity and processing speed becomes slow
Solution Approach 1:
The patent extracts the complex multi-parameter desulfurization control logic from the ECU and implements it externally through a separate prediction device or algorithm. This separates the heavy computational burden from the ECU, maintaining desulfurization effectiveness while reducing in-vehicle processing complexity and memory requirements.
Solution Approach 2:
The system performs preliminary prediction of SOx storage amounts and desulfurization timing before actual desulfurization execution. By pre-calculating optimal desulfurization points based on historical data and current parameters, the system avoids real-time complex computations during critical desulfurization events, improving both accuracy and processing speed.
2Device complexity
If desulfurization is controlled using only inlet temperature and lambdas while neglecting driving state changes, then processing is simplified, but DeNOx catalyst aging and fuel economy deteriorate
Solution Approach 1:
The patent implements dynamic adjustment of desulfurization control parameters based on real-time driving state detection. The system adapts injection timing, duration, and reducing agent dosage according to varying operating conditions (engine load, temperature, exhaust flow), ensuring optimal desulfurization effectiveness and catalyst protection across different driving scenarios rather than using fixed parameters.
Solution Approach 2:
The system incorporates feedback mechanisms that continuously monitor desulfurization effectiveness and catalyst state. Based on this feedback, the control algorithm adjusts subsequent desulfurization parameters to optimize both catalyst longevity and fuel economy, creating a closed-loop control system that responds to actual system conditions rather than relying on predetermined fixed parameters.
3Device complexity
If SOx storage prediction is performed without considering optimal temperature, volume speed, and lambda parameters, then calculation is simpler, but prediction accuracy deteriorates
Solution Approach 1:
The patent dynamically adjusts key parameters (temperature, volume speed, lambda) to optimal values for accurate SOx storage prediction. Rather than using fixed or simplified parameters, the system continuously optimizes these parameters based on real-time sensor data and operating conditions, ensuring high prediction accuracy across varying engine states while managing computational complexity through efficient algorithms.
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
This approach allows for precise prediction of SOx storage, improving desulfurization efficiency and fuel economy by optimizing regeneration timing and reducing agent use based on accurate SOx amount calculations.
Implementation Method 1
Since materials absorbing the NOx at the DeNOx catalyst, however, are alkaline materials, SOx (materials which are made by oxidizing sulfur components contained in a fuel or an engine oil) as well as NOx contained in the exhaust gas is also absorbed.
Implementation Method 2
The LNT catalyst absorbs the NOx contained in the exhaust gas when the engine operates in a lean atmosphere, and releases the absorbed NOx when the engine operates in a rich atmosphere. The release of the absorbed NOx from the LNT catalyst is called regeneration.
Implementation Method 3
If reducing agents such as urea, ammonia, carbon monoxide, and hydrocarbon (HC) are supplied to the exhaust gas, the NOx contained in the exhaust gas is reduced in the DeNOx catalyst through oxidation-reduction reaction with the reducing agents.
Data Source
AI summary
A method for predicting sulfur oxides (SOx) stored at a denitrification (DeNOx) catalyst may include calculations of the mass flow of SOx poisoned at the DeNOx catalyst, the mass flow of SOx released from the DeNOx catalyst, and the SOx amount poisoned at the DeNOx catalyst by integrating the value obtained by subtracting the released mass flow of SOx from the poisoned mass flow of SOx. An exhaust system using the method may comprise an engine having a first injector, an exhaust pipe, a second injector mounted at the exhaust pipe and injecting a reducing agent, a DeNOx catalyst mounted at the exhaust pipe and reducing SOx or nitrogen oxides (NOx) or both contained in the exhaust gas by using the reducing agent, and a control portion electrically connected to the system and performing the calculations and controls.