Combustion Engine Control Unit Using Pareto-Optimal Indifference Curves
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Solution Overview
Problem
Existing control strategies for combustion engines fail to optimize fuel consumption and emission variables, particularly during real driving conditions where arbitrary speed profiles and operating states occur, leading to deviations in emission and consumption values that can exceed permissible limits.
Innovation Solution
A control configuration for a combustion engine that determines reference variables using operating state information, upper limits, and cumulative actual variables, minimizing a target function by selecting Pareto-optimal alternatives through an indifference curve to adjust multiple actual variables within specified limits, thereby optimizing fuel consumption and emission variables.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If global optimization approaches are used for standard driving cycles, then emission limits are met for specified speed profiles, but emission and consumption values deviate significantly from limits during real driving operations with arbitrary speed profiles
Solution Approach 1:
The control system dynamically adapts reference variables based on actual operating conditions rather than using fixed optimization for standard cycles. The control unit continuously adjusts exhaust recirculation rate, filling, injection timing, and other parameters in response to arbitrary speed profiles and operating states, transforming the system from static to dynamic operation to maintain emission compliance across diverse driving conditions
Solution Approach 2:
The invention changes multiple operating parameters simultaneously including exhaust recirculation rate, EGR distribution, filling, injection point in time, ignition point in time, and rail pressure. By coordinating changes across these parameters, the system maintains emission limit compliance while adapting to arbitrary speed profiles that were not accounted for in standard cycle optimization
2Loss of energy
If reference variables are optimized for fuel consumption and emissions, then consumption and emission values are reduced, but competing emission variables cause some limits to be exceeded while others fall significantly below limits
Solution Approach 1:
The control system coordinates changes across multiple parameters including exhaust recirculation rate, EGR distribution between high and low pressure paths, filling, injection timing, and rail pressure. This multi-parameter coordination allows the system to balance competing emission variables such as NOx and carbon black, reducing fuel consumption while keeping all emission variables within their respective limits rather than allowing some to exceed while others fall far below
Solution Approach 2:
The control unit uses feedback from actual operating conditions and emission measurements to continuously adjust reference variables. This feedback mechanism allows the system to respond to the behavior of competing emission variables and maintain all emissions within limits while optimizing fuel consumption, rather than following a fixed optimization that causes imbalances
Data Source
AI summary
A control configuration for a combustion engine includes a control unit which has a function that determines a reference variable by taking into account an operating state information, an upper limit and a cumulative actual variable. The reference variable influences an operating state of the combustion engine such that a plurality of actual variables are adjusted so that, in an operating time period with a combination of arbitrary different operating states of the combustion engine that are set in a random order, cumulative actual variables do not exceed upper limits in this operating time period, wherein a target function is minimized by selecting the reference variable from Pareto-optimal alternatives through use of an indifference curve. A combustion engine and a vehicle are also provided.