Predictive Engine RPM Control for Torque Response
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing engine control systems face challenges in achieving faster response times and improved control accuracy, particularly in adjusting torque output efficiently while maintaining system stability and fuel consumption.
Innovation Solution
The implementation of a model predictive control (MPC) module that uses least-square fitting techniques to predict engine speed based on recent measurements, allowing for the calculation of target values for engine actuators such as throttle, wastegate, and EGR valves to optimize torque output and fuel efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If model predictive control (MPC) is used to control engine actuators, then control accuracy is improved, but response time increases due to computational complexity
Solution Approach 1:
The patent pre-calculates and stores optimal control parameters and cost function weights in lookup tables before runtime. During actual control operations, the system quickly retrieves pre-computed values based on current operating conditions, avoiding time-consuming real-time optimization calculations while maintaining MPC control accuracy.
Solution Approach 2:
The patent creates simplified copies of the full MPC control algorithm by pre-computing control strategies for various operating conditions and storing them in lookup tables. This allows the system to use lightweight table lookups instead of executing the complete computational MPC algorithm in real-time, significantly reducing response time while preserving control performance.
2Measurement precision
If more recent engine rpm measurements are used in least-squares fitting, then prediction accuracy is improved, but computational load increases
Solution Approach 1:
The patent uses a limited set of 3-4 recent rpm measurements for least-squares fitting instead of using all available historical data. This partial action approach provides sufficient prediction accuracy for control purposes while keeping the computational load manageable for real-time execution.
3Use of energy by moving object
If dynamic adjustment of engine parameters is performed, then fuel efficiency is improved, but system complexity increases
Solution Approach 1:
The patent combines multiple control functions into a unified MPC framework that simultaneously optimizes throttle position, wastegate control, EGR valve positioning, and fuel injection timing. By merging these control tasks into a single integrated system with a comprehensive cost function, the patent achieves coordinated optimization of fuel efficiency and emissions without requiring separate complex control systems for each parameter.
Data Source
AI summary
An engine control system for a vehicle, includes a model predictive control (MPC) module that identifies sets of possible target values based on an engine torque request, determines predicted operating parameters for the sets of possible target values, determines cost values for the sets of possible target values, selects one of the sets of possible target values based on the cost values; and sets target values based on the possible target values of the selected one of the sets; and a first actuator module that controls a first engine actuator based on a first one of the target values. The MPC module determines at least one of the predicted operating parameters at a future point in time based on a predicted value of engine rpm, which is determined based on a plurality of recent engine rpm measurements.