Predictive NOx Adsorber Purging Control for Emissions Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Intermittent vehicle actions, such as regeneration procedures, increase fuel consumption and emissions, and the timing of these procedures can affect emissions, posing challenges in maintaining efficient vehicle operation and reducing emissions effectively.
Innovation Solution
A control system that predicts the end of a driving cycle and controls the purging of emissions traps to prepare for the next cycle, determining the efficiency of purging and scheduling it based on the likelihood of slippage and the operating efficiency of the selective catalyst reduction system to optimize emissions reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If regeneration or purge procedures are performed to maintain efficient operation of aftertreatment devices, then emissions reduction is improved, but fuel consumption increases and emissions may increase during the procedure
Solution Approach 1:
The control system performs preliminary actions by predicting the end of the current driving cycle and proactively managing the emissions trap capacity before it becomes saturated. The system determines the likelihood of slippage in advance and schedules purging operations optimally, rather than waiting for the trap to fill up and then performing emergency purging that increases emissions and fuel consumption.
Solution Approach 2:
The system dynamically adjusts the purging strategy based on real-time conditions. It continuously monitors the emissions trap capacity, predicts the end of driving cycle, and adapts the purging timing and intensity to match actual vehicle operation patterns and environmental conditions, optimizing the balance between emissions reduction and fuel consumption.
2Object-generated harmful factors
If purging of emissions trap is performed frequently to prevent slippage, then emissions reduction is improved, but fuel consumption and operational efficiency deteriorate
Solution Approach 1:
The control system incorporates feedback mechanisms by continuously monitoring the emissions trap capacity and using this information to adjust purging decisions. The system predicts the end of the driving cycle and uses this prediction along with current trap capacity to determine the optimal purging schedule, ensuring purging is performed only when necessary to prevent slippage while minimizing impact on operational efficiency.
Solution Approach 2:
The system changes operational parameters dynamically by adjusting the purging timing and intensity based on predicted driving cycle end and current trap capacity. Rather than using fixed purging intervals, the system adapts purging parameters to match actual vehicle usage patterns, reducing unnecessary purging events that would harm operational efficiency.
3Use of energy by moving object
If the timing of regeneration procedure is delayed to reduce fuel consumption, then operational efficiency is improved, but emissions may increase due to trap saturation
Solution Approach 1:
The control system takes preliminary action by predicting the end of the current driving cycle and proactively managing emissions trap capacity before saturation occurs. This allows the system to schedule purging operations in advance at optimal times, preventing the need for delayed purging that would result in trap saturation and increased emissions.
Solution Approach 2:
The system replaces traditional rule-based purging timing mechanisms with a predictive control approach. Instead of using fixed thresholds or time-based schedules, the system uses predictive algorithms that consider driving cycle patterns, trap capacity, and environmental conditions to determine the optimal purging timing, substituting mechanical timing rules with intelligent predictive control.
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
The system effectively reduces emissions by preemptively purging emissions traps before the end of a driving cycle, ensuring the emissions trap is operational during the next cycle, thereby minimizing slippage and improving overall emissions performance.
Implementation Method 1
determine a likelihood of slippage from an emissions trap of the vehicle in a next driving cycle of the vehicle
Implementation Method 2
determine an efficiency of a selective catalyst reduction system of the vehicle
Data Source
AI summary
A control system for a vehicle, the control system having one or more controllers, the control system being arranged to: determine a likelihood of a NOx adsorber trap of a vehicle requiring purging; determine an efficiency of purging the NOx adsorber trap; determine an operating efficiency of a selective catalyst reduction system of the vehicle; determine a schedule for purging of the NOx adsorber trap of the vehicle in dependence on the likelihood of the NOx adsorber trap requiring purging, the efficiency of purging the NOx adsorber trap, and the operating efficiency of the selective catalyst reduction system; and control purging of the NOx adsorber trap according to the schedule.