Integrated Engine and Aftertreatment Control Optimization
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Solution Overview
Problem
Current approaches to optimizing internal combustion engines and aftertreatment systems separately do not provide a systematic method for achieving global optimal behavior while meeting emission limits, leading to inefficient operations and increased costs.
Innovation Solution
Integrating engine and aftertreatment subsystems into a unified system with a controller that executes an optimization program, using a two-stage approach: off-line mathematical optimization to set points and constraints, and on-line real-time feedback controllers to ensure optimal performance and emission reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If engine and aftertreatment systems are optimized separately, then individual subsystem performance is improved, but global optimal behavior and emission reduction are not achieved
Solution Approach 1:
The patent merges the engine control and aftertreatment control into a single integrated control system that optimizes both subsystems simultaneously. The controller receives inputs from both engine sensors and aftertreatment sensors, processes them together, and generates coordinated control signals to achieve global optimization rather than separate sub-optimizations.
Solution Approach 2:
The integrated controller performs multiple functions: it manages engine operation parameters, monitors aftertreatment system state, executes optimization algorithms, and adjusts both engine and aftertreatment actuators. This multi-functional approach enables the single controller to achieve global optimal behavior across the entire system.
2Reliability
If integrated optimization is implemented, then global optimal behavior and emission reduction are achieved, but system complexity increases
Solution Approach 1:
The optimization process is segmented into two distinct stages: off-line mathematical optimization that generates target values and control strategies, and on-line real-time control that executes these strategies and adjusts to actual system conditions. This segmentation reduces the computational burden on the real-time controller and simplifies the control architecture.
Solution Approach 2:
The off-line optimization stage performs preliminary calculations to determine optimal control strategies and target values before real-time operation. By pre-computing optimization results based on system models and constraints, the complex mathematical optimization is completed beforehand, leaving only execution and adjustment tasks for the real-time controller.
3Ease of manufacture
If separate optimization approaches are used, then implementation is simpler, but time-consuming and expensive tasks are required
Solution Approach 1:
The off-line optimization stage performs preliminary calculations to determine optimal control strategies and target values before real-time operation. By pre-computing optimization results based on system models and constraints, the complex mathematical optimization is completed beforehand, leaving only execution and adjustment tasks for the real-time controller.
Solution Approach 2:
The system implements continuous feedback from sensors monitoring engine operation and aftertreatment performance. This feedback is fed back to the controller which adjusts control signals in real-time to maintain optimal operation, enabling adaptive optimization without requiring repeated time-consuming calculations.
Data Source
AI summary
An engine and one or more aftertreatment subsystems integrated into one system for optimization and control. At least one controller may be connected to the engine and the one or more aftertreatment subsystems. The controller may contain and execute a program for the optimization and control of the one system. Controller may receive information pertinent to the engine and the one or more aftertreatment subsystems for the program. The controller may prescribe setpoints and constraints for measured variables and positions of actuators according to the program to aid in effecting the optimization and control of the one system.