Oxidation Catalyst Model for Dynamic Exhaust Temperature Control
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Solution Overview
Problem
Existing systems for controlling temperature and total hydrocarbon slip in diesel engine exhaust systems are inadequate under dynamic conditions, such as changing engine speed and torque, as they fail to provide effective control performance.
Innovation Solution
A method and control system that utilize an oxidation catalyst model to monitor and adjust the fuel injection flow rate in the exhaust system, incorporating a processor to control the fuel injector based on the oxidation catalyst model, thereby managing both exhaust stream temperature and total hydrocarbon slip, and dynamically updating the model to reduce errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If known control systems are used to control temperature within a particulate filter, then the system operates adequately under steady-state conditions, but the control performance deteriorates under dynamic conditions such as when engine speed and torque are changing
Solution Approach 1:
The control system transitions from static steady-state control to dynamic control by continuously monitoring exhaust conditions and adjusting fuel injection rates in real-time based on changing engine operating parameters, enabling the system to adapt to dynamic conditions while maintaining reliable temperature control
Solution Approach 2:
The system implements feedback control by monitoring exhaust temperature and hydrocarbon slip conditions, comparing actual values with target values, and adjusting the fuel injection rate accordingly to maintain optimal particulate filter regeneration under both steady-state and dynamic operating conditions
2Reliability
If fuel is injected into the exhaust stream to control temperature and hydrocarbon slip, then regeneration is improved, but the system complexity increases due to the need for dynamic modeling and control adjustments
Solution Approach 1:
The control system utilizes readily available sensor data from the exhaust system and existing engine operating parameters to dynamically calculate fuel injection rates, allowing the system to self-regulate without requiring additional complex hardware or external control inputs
Solution Approach 2:
The system dynamically adjusts control parameters such as fuel injection rate and timing based on changing exhaust temperature and hydrocarbon slip conditions, enabling flexible control of the regeneration process without requiring physical system modifications
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 effectively regulates the exhaust stream temperature and total hydrocarbon slip, improving control performance under dynamic conditions and extending the lifespan of the particulate filter by preventing overheating, thus enhancing the overall efficiency and reliability of the exhaust system.
Implementation Method 1
an oxidation catalyst model
Implementation Method 2
a fuel injector for injecting fuel into an exhaust stream
Data Source
AI summary
Systems and methods for controlling temperature and total hydrocarbon slip in an exhaust system are provided. Control systems can comprise an oxidation catalyst, a particulate filter, a fuel injector, and a processor for controlling a fuel injection based on an oxidation catalyst model. Example system includes a virtual sensor comprising a controller for calculating and providing the total hydrocarbon slip to subsystems for after-treatment management based on modeling the oxidation catalyst. Example methods for controlling the temperature and the total hydrocarbon slip in an exhaust system include the steps of providing an oxidation catalyst model, monitoring a condition of the exhaust system, calculating a hydrocarbon fuel injection flow rate and controlling a fuel injection. The example methods further include the steps of determining an error in the oxidation catalyst model based on the monitored condition and changing the oxidation catalyst model to reduce the error.