Predictive Analytics for Exhaust Aftertreatment Regeneration
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Solution Overview
Problem
Exhaust aftertreatment systems face performance degradation due to deposit buildup, which requires regeneration events that interfere with normal engine operation and consume additional resources.
Innovation Solution
A system using predictive analytics to manage active and passive regeneration events based on vehicle route analysis, incorporating cylinder deactivation systems and heaters to optimize regeneration timing and duration, reducing fuel and DEF usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If regeneration events are performed to remove deposits, then aftertreatment system performance is maintained, but normal engine operation is interfered with and additional resources are consumed
Solution Approach 1:
The system performs preliminary analysis of route data and vehicle performance to predict when regeneration events will be needed. By anticipating future regeneration requirements and planning them in advance, the system can schedule regenerative events during optimal times (such as when the vehicle is stationary or during low-demand periods) rather than interrupting normal operation unexpectedly, thus maintaining aftertreatment performance while minimizing interference with engine productivity.
Solution Approach 2:
The system dynamically adjusts regeneration event timing and duration based on real-time analysis of route data, vehicle performance, and system state. By making regeneration events flexible and adaptive rather than fixed, the system can optimize the balance between maintaining aftertreatment performance and minimizing impact on normal engine operation, scheduling events when conditions are most favorable.
2Reliability
If active regeneration events are used to remove deposits, then system performance is maintained, but fuel and DEF consumption increases
Solution Approach 1:
The system utilizes the vehicle's normal operation and ambient conditions to facilitate passive regeneration events, where the engine's own exhaust heat and the vehicle's normal driving patterns provide the necessary conditions for deposit removal without requiring additional fuel injection or DEF dosing. This self-service approach allows the aftertreatment system to regenerate using its own operational byproducts rather than consuming extra resources.
Solution Approach 2:
The system changes operational parameters such as engine speed, load, and exhaust temperature profiles to create favorable conditions for passive regeneration. By manipulating these parameters through normal driving patterns or mild engine control adjustments, the system can achieve deposit removal without requiring high-energy active regeneration events, thus reducing fuel and DEF consumption while maintaining aftertreatment performance.
3Use of energy by moving object
If passive regeneration events are used, then fuel and DEF usage is reduced, but regeneration timing and duration must be optimized
Solution Approach 1:
The system continuously monitors aftertreatment system state, deposit levels, and vehicle operating conditions to provide feedback for optimizing passive regeneration timing and duration. By analyzing this feedback data in conjunction with route information and performance predictions, the system can dynamically adjust regeneration events to achieve the optimal balance between reducing fuel/DEF consumption and ensuring effective deposit removal, managing complexity through data-driven decision making.
Solution Approach 2:
The system replaces complex mechanical control mechanisms with predictive analytics and data processing to manage regeneration events. Instead of using complex mechanical sensors and actuators to precisely control every aspect of regeneration, the system uses software-based prediction algorithms that analyze route data and vehicle performance to automatically determine optimal regeneration timing and duration, simplifying the overall control approach while achieving the same or better results.
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
Enhances aftertreatment system performance by anticipating regeneration needs, minimizing fuel and DEF consumption, and reducing hardware costs through optimized control strategies.
Implementation Method 1
alter at least one of a timing or a duration of a passive regeneration event for an aftertreatment system based on the correlated control strategy using at least one of a heater or a cylinder deactivation (CDA) system
Implementation Method 2
alter at least one of a timing or a duration of a passive regeneration event for an aftertreatment system based on the correlated control strategy using at least one of a heater or a cylinder deactivation (CDA) system
Data Source
AI summary
Systems and apparatuses include a controller including at least one processor coupled to a memory storing instructions that, when executed by the at least one processor, causes the at least one processor to: receive data indicative of at least one of a current route or of a current performance of a vehicle; correlate at least one of the current route or the current performance to a control strategy; and determine at least one of a timing or a duration of an active regeneration event for an aftertreatment system based on the correlated control strategy.