Engine Mapping Methodology

Baker, Rick; Daby, E. E.

doi:10.4271/770077

Cited by 25 publications

(6 citation statements)

References 4 publications

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“…In this section, a brief review is provided on some more papers that the authors consider relevant to this discussion. In [24], Baker and Daby describe a methodology for collecting performance data of vehicle engines and using it for calibration so as to optimize fuel economy while at the same time meeting emission requirements. They derive a minimum fuel surface which produces the least fuel consumption at all achievable combinations of hydrocarbon and nitrogen oxide emissions.…”

Section: The Need For Performance Mapsmentioning

confidence: 99%

The Need for a Performance Map Based Decision Process

Ashok

Tesar

2013

IEEE Systems Journal

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This paper presents a mathematical framework to create a unique decision process based on multiple performance maps of varying functional value and volatility to aid in complex decisions for highly nonlinear and coupled systems by involving human visualization and direct algebraic computations. This map-based process is intended to extend other decision tools, such as fuzzy logic and classical optimization (through cost functions) by embedding in-depth measurement certification, lessons learned, and data uncertainty in geometric map representations. As systems become ever more complex with more human intervention, reliable decisions must be made in less and less time (i.e., a few milliseconds). This decision framework is best carried out with selected maps combined into envelopes as functional/proven decision surfaces. Its potential for data-driven decisions of broad applicability is illustrated in several unique domains ranging from an intelligent actuator, a sensored soldier, health care provider management, a venture capital firm, and in human guided design/synthesis processes for parametrically dense systems. We also show that there is a geometrical structure (serial, parallel, or hybrid) to these decision processes which guides the efficient formulation of the most useful forward or inverse computation.Index Terms-Forward/inverse decision making, performance map, system decision theory, visualization.

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Section: The Need For Performance Mapsmentioning

confidence: 99%

The Need for a Performance Map Based Decision Process

Ashok

Tesar

2013

IEEE Systems Journal

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“…The main approach to solving the problem of optimal calibration development was defined during the fuel crisis of the 1970's [1], and later extended with the addition of Design of Experiments (DoE) methodology and modern Response Surface Modeling (RSM) methods to cover more complex engine applications such as SI DIVCP [2] [3].…”

Section: Problem Solving Approachmentioning

confidence: 99%

Objective Determination of Minimum Engine Mapping Requirements for Optimal SI DIVCP Engine Calibration

Maloney

2009

SAE Technical Paper Series

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“…In the single-objective optimization approaches such as [1][2][3][4][5][6][7][8][9][10], the optimization process usually consists of a constrained optimization problem, namely minimizing vehicle fuel consumption with the emission limit constraints. The vehicle performance (fuel consumption and emissions) depend on the vehicle and driveline specifications, as well as engine variables such as torque, fuel consumption and emission maps.…”

Section: Forming the Optimization Problemmentioning

confidence: 99%

“…Tehran, Iran s rezazadeh@ip-co.com extremely appealing. The early efforts started in 1970's [1][2][3] where Ford and General Motors, two giants of vehicle industry, for the first time introduced an automated process for optimization of engine calibration. They used simple models for the engine and vehicle and also for the optimization algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…After this start, many researches have been contributed in this field. References [1][2][3][4][5][6][7][8][9][10] just include a few number of the many researches performed in this area. Almost in all of these studies, the approach to the problem was as a single-objective problem with the target of minimizing fuel consumption and satisfying standard emission limits as constraints.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of the Calibration for an Internal Combustion Engine Management System Using Multi-Objective Genetic Algorithms

Vossoughi

Rezazadeh²

2005 IEEE Congress on Evolutionary Computation

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This paper proposes a multi-objective structure for the optimization of an engine control unit mapping. In this way, first an integrated enginevehicle model is developed. The objective functions for the optimization problem can be defined from this model. After describing the structure of the optimization problem, two different multi-objective genetic algorithms, namely Distance-based Pareto Genetic Algorithm and Non-Dominated Sorting Genetic Algorithm (together with Entropy-based Multi-Objective Genetic Algorithm), are proposed and implemented. The results demonstrate the superiority of this computerized structure to the manual mapping methods and also more generality of the multiobjective methods compared to single-objective ones.

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Engine Mapping Methodology

Cited by 25 publications

References 4 publications

The Need for a Performance Map Based Decision Process

The Need for a Performance Map Based Decision Process

Objective Determination of Minimum Engine Mapping Requirements for Optimal SI DIVCP Engine Calibration

Optimization of the Calibration for an Internal Combustion Engine Management System Using Multi-Objective Genetic Algorithms

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