Engine Air Prediction Module Using Lookup Tables
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Solution Overview
Problem
Current engine control systems face challenges in accurately controlling engine actuators, such as throttle valves, due to insufficient sampling rates, especially during cylinder deactivation, leading to increased computational demands and reduced accuracy in predicting engine air parameters.
Innovation Solution
A system that predicts engine air parameters at a higher rate than traditional sampling rates using a physical model with simplifications, enabling more accurate actuator control and reducing computational effort, by estimating parameters every 6 to 10 degrees of crankshaft rotation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sampling rate of engine air parameters is increased to improve actuator control accuracy, then the control precision improves, but the computational demand and processing power requirements increase
Solution Approach 1:
The patent pre-calculates and stores airflow parameter relationships in lookup tables during system initialization or offline operations. During real-time engine operation, the control system simply retrieves pre-computed values from these tables based on current operating conditions, avoiding complex real-time calculations while maintaining high prediction accuracy for actuator control.
Solution Approach 2:
The patent creates simplified models or lookup tables that replicate the behavior of complex airflow calculations. Instead of performing full computational fluid dynamics or complex empirical calculations at every sampling interval, the system uses pre-computed data structures that copy the essential relationships, reducing computational load while preserving control accuracy.
2Power
If traditional sampling rates are used for measuring engine air parameters, then the processing power requirements are reduced, but the accuracy of predicting engine air parameters during cylinder deactivation deteriorates
Solution Approach 1:
The system pre-computes airflow parameters and stores them in lookup tables organized by operating conditions including cylinder deactivation states. When prediction is needed, the system retrieves pre-calculated values matching current conditions, providing accurate predictions without requiring high processing power during time-critical engine control operations.
Solution Approach 2:
The patent changes the approach from continuous high-rate calculation to discrete parameter retrieval based on identified operating states. By detecting which cylinders are active or deactivated and using this state information to select appropriate pre-computed parameters from lookup tables, the system maintains accuracy across different operating modes while minimizing computational requirements.
Data Source
AI summary
A system according to the principles of the present disclosure includes an engine air sensor, an engine air prediction module, and an engine actuator module. The engine air sensor measures an engine air parameter at a first rate. The engine air parameter includes at least one of a mass flow rate of air flowing into an intake manifold of an engine, a pressure within the intake manifold, and a mass of air within a cylinder of the engine. The engine air prediction module predicts the engine air parameter at a second rate that is greater than the first rate. The engine actuator module controls an actuator of the engine based on at least one of the measured engine air parameter and the predicted engine air parameter.