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Author: J Lopez Publisher: ISBN: 9781699744185 Category : Languages : en Pages : 348
Book Description
With today's ever-increasing complexity of models, design of experiment has become an essential part of the modeling process. The Design Editor within the Model-Based Calibration Toolbox product is crucial for the efficient collection of engine data. Dyno-cell time is expensive, and the savings in time and money can be considerable when a careful experimental design takes only the most useful data. Dramatically reducing test time is growing more and more important as the number of controllable variables in more complex engines is growing. With increasing engine complexity, the test time increases exponentially.Model-Based Calibration Toolbox provides apps and design tools for optimally calibrating complex engines and powertrain subsystems. You can define optimal test plans, automatically fit statistical models, and generate calibrations and lookup tables for complex high-degree-of-freedom engines that would otherwise require exhaustive testing using traditional methods. Calibrations can be optimized at individual operating points or over drive cycles to identify the optimal balance of engine fuel economy, performance, and emissions. Using apps or MATLAB functions, you can automate the calibrationprocess for similar engine types.Models created with Model-Based Calibration Toolbox can be exported to Simulink to support control design, hardware-in-the-loop testing, and powertrain simulation activities across the powertrain design team. Calibration tables can be exported to ETAS INCA and ATI Vision. This book develops examples of design of experiments and calibration models.
Author: J Lopez Publisher: ISBN: 9781699744185 Category : Languages : en Pages : 348
Book Description
With today's ever-increasing complexity of models, design of experiment has become an essential part of the modeling process. The Design Editor within the Model-Based Calibration Toolbox product is crucial for the efficient collection of engine data. Dyno-cell time is expensive, and the savings in time and money can be considerable when a careful experimental design takes only the most useful data. Dramatically reducing test time is growing more and more important as the number of controllable variables in more complex engines is growing. With increasing engine complexity, the test time increases exponentially.Model-Based Calibration Toolbox provides apps and design tools for optimally calibrating complex engines and powertrain subsystems. You can define optimal test plans, automatically fit statistical models, and generate calibrations and lookup tables for complex high-degree-of-freedom engines that would otherwise require exhaustive testing using traditional methods. Calibrations can be optimized at individual operating points or over drive cycles to identify the optimal balance of engine fuel economy, performance, and emissions. Using apps or MATLAB functions, you can automate the calibrationprocess for similar engine types.Models created with Model-Based Calibration Toolbox can be exported to Simulink to support control design, hardware-in-the-loop testing, and powertrain simulation activities across the powertrain design team. Calibration tables can be exported to ETAS INCA and ATI Vision. This book develops examples of design of experiments and calibration models.
Author: Perez C. Publisher: Createspace Independent Publishing Platform ISBN: 9781974098101 Category : Languages : en Pages : 196
Book Description
MATLAB provides apps and design tools for optimally calibrating complex engines and powertrain subsystems. You can work with design of experiments, define optimal test plans, automatically fit statistical models, and generate calibrations and lookup tables for complex high-degree-of-freedom engines that would otherwise require exhaustive testing using traditional methods. Calibrations can be optimized at individual operating points or over drive cycles to identify the optimal balance of engine fuel economy, performance, and emissions. Using apps or MATLAB(R) functions, you can automate the calibration process for similar engine types. The Key Features in this book are the following: -Apps that support the entire workflow: designing experiments, fitting statistical models to engine data, and producing optimal calibrations -Design-of-Experiments methodology for reducing testing time through classical, space-filling, and optimal design techniques -Accurate engine modeling with data fitting techniques including Gaussian process, radial basis function, and linear regression modeling -Boundary modeling to keep optimization results within the engine operating envelope Generation of lookup tables from optimizations over drive cycles, models, or test data -Export of performance-optimized models to Simulink for use in simulation and HIL testing This book develops the following topics: - "Model-Based Calibration Toolbox" - "Design of Experiments" - "Empirical Engine Modeling" - "Selecting Data and Models to Fit" - "Selecting Global and Two-Stage Models" - "Using Validation Data" - "Exporting the Models" - "Optimized Calibration" - "Importing Additional Models into CAGE" - "Setting Up and running the Optimization" - "Composite Models and Modal Optimization" - "Use Optimization Results"
Author: Perez C. Publisher: Createspace Independent Publishing Platform ISBN: 9781974098668 Category : Languages : en Pages : 252
Book Description
MATLAB can create Experimental Design Models with Model-Based Calibration Toolbox. This models can be exported to Simulink(R) to support control design, hardware-in-the-loop testing, and powertrain simulation activities across the powertrain design team. The toolbox has two main user interfaces for model-based calibration workflows: - Model Browser for design of experiment and statistical modeling - CAGE Browser for analytical calibration The Model Browser part of the toolbox is a powerful tool for experimental design and statistical modeling. The models you build with the Model Browser can be imported into the CAGE Browser part of the toolbox to produce optimized calibration tables. The command-line interface to the Model-Based Calibration Toolbox product enables the design of experiments and modeling tolos available in the toolbox to be accessible from the test bed. You can use these commands to assemble your specific engine calibration processes into an easy to use script or graphical interface. Calibration technicians and engineers can use the custom interface without the need for extensive training. The Model Browser is a flexible, powerful, intuitive graphical interface for building and evaluating experimental designs and statistical models. This tools enables: - Design of experiment tools can drastically reduce expensive data collection time. - You can create and evaluate optimal, space-filling, and classical designs, and constraints can be designed or imported. - Hierarchical statistical models can capture the nature of variability inherent in engine data, accounting for variation both within and between tests. - The Model Browser has powerful, flexible tools for building, comparing, and evaluating statistical models and experimental designs. - There is an extensive library of prebuilt model types and the capability to build userdefined models. - You can export models to CAGE or to MATLAB or Simulink software. - Faster calibration - Improved calibration quality - Improved system understanding - Reduced development time CAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookup tables. CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE, you fill and optimize lookup tables in existing ECU software using Model Browser models. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation. This book develops the following topics: - "Model-Based Calibration Toolbox" - "Design of Experiments" - "Design and Modeling Scripts" - "Model-Based Calibration Toolbox Command-Line Interface" - "Automate Design and Modeling With Scripts" - "Statistical Modeling and Optimization" - "Two-Stage Modeling" - "Create Multiple Models to Compare" - "Create a Constrained Space-Filling Design" - "Create Optimal and Classical Designs" - "Use the Design Evaluation Tool" - "Data Manipulation for Modeling" - "Match Data to Experimental Designs" - "Feature Calibration"
Author: J Lopez Publisher: ISBN: 9781699275993 Category : Languages : en Pages : 386
Book Description
The Model-Based Calibration Toolbox product contains tools for design of experiment, statistical modeling, and calibration of complex systems..The toolbox has two main apps: -Model Browser for design of experiment and statistical modeling-CAGE Browser for analytical calibrationThe Model Browser is a flexible powerful, intuitive graphical interface for building andevaluating experimental designs and statistical models: -Design of experiment tools can drastically reduce expensive data collection time.-You can create and evaluate optimal, space filling and classical designs, and constraints can be designed or imported.-Hierarchical statistical models can capture the nature of variability inherent in engine data, accounting for variation both within and between tests.-The Model Browser has powerful, flexibl tools for building, comparing, andevaluating statistical models and experimental designs.-There is an extensive library of prebuilt model types and the capability to build user-define models.-You can export models to CAGE or to MATLAB, or Simulink software. -There is an extensive library of prebuilt model types and the capability to build user-define models.-You can export models to CAGE or to MATLAB(R), or Simulink software.
Author: Parker K. Publisher: Createspace Independent Publishing Platform ISBN: 9781539659655 Category : Languages : en Pages : 456
Book Description
Model-Based Calibration Toolbox provides design tools for optimally calibrating complex powertrain systems using statistical modeling and numeric optimization. You can define test plans, develop statistical models, and generate calibrations and lookup tables for complex high-degree-of-freedom engines that would require exhaustive testing using traditional methods. By using the toolbox with MATLAB and Simulink you can develop a process for systematically identifying the optimal balance of engine performance, missions, and fuel economy, and reuse statistical models for control design, hardware-in-the-loop testing, or powertrain simulation.
Author: Perez C. Publisher: Createspace Independent Publishing Platform ISBN: 9781974301188 Category : Languages : en Pages : 156
Book Description
In MATLAB you can work with design of experiments, define optimal test plans, automatically fit statistical models, and generate calibrations and lookup tables for complex high-degree-of-freedom engines that would otherwise require exhaustive testing using traditional methods. Calibrations can be optimized at individual operating points or over drive cycles to identify the optimal balance of engine fuel economy, performance, and emissions. Using apps or MATLAB(R) functions, you can automate the calibration process for similar engine types. The Model Browser is a flexible, powerful, intuitive graphical interface for building and evaluating experimental designs and statistical models: - Design of experiment tools can drastically reduce expensive data collection time. - You can create and evaluate optimal, space filling, and classical designs, and constraints can be designed or imported. - Hierarchical statistical models can capture the nature of variability inherent in engine data, accounting for variation both within and between tests. - The Model Browser has powerful, flexible tools for building, comparing, and evaluating statistical models and experimental designs. - There is an extensive library of prebuilt model types and the capability to build userdefined models. This book develops the following topics: - "Model-Based Calibration Toolbox" - "Design of Experiments" - "Workflows For Modeling" - "Selecting Data and Models to Fit" - "Projects and Test Plans" - "Desing Editor and Design Constraints" - "Creating a Space-Filling Design" - "Creating an Optimal Design" - "Creating a Classical Design" - "Manipulate Designs" - "Saving, Exporting, and Importing Designs" - "Fit Models to Collected Design Data - "Data Loading Application Programming Interface"
Author: P. Braselton Publisher: Createspace Independent Publishing Platform ISBN: 9781546888871 Category : Languages : en Pages : 438
Book Description
MATLAB Model-Based Calibration Toolbox provides apps and design tools for optimally calibrating complex experimental designs models. This Toolbox use un Apps that support the entire workflow: designing experiments, fitting statistical models to engine data, and producing optimal calibrations. Also support Design-of-Experiments methodology for reducing testing time through classical, space-filling, and optimal design techniques, This Toolbox accurate engine modeling with data fitting techniques including Gaussian process,radial basis function, and linear regression modeling. Other options are: Boundary modeling to keep optimization results within the engine operating envelope, Generation of lookup tables from optimizations over drive cycles, models, or test data. Also is posible export of performance-optimized models to Simulink for use in simulation and HIL testing
Author: P. Braselton Publisher: Createspace Independent Publishing Platform ISBN: 9781547002313 Category : Languages : en Pages : 396
Book Description
The MATLAB software include eficient tools for develop the design of experiments. The Model-Based Calibration Toolbox product contains tools for design of experiment, statistical modeling, and calibration of complex systems. The toolbox has two main apps: Model Browser for design of experiment and statistical modeling and CAGE Browser for analytical calibration. The Model Browser is a flexible, powerful, intuitive graphical interface for building and evaluating experimental designs and statistical models. Design of experiment tools can drastically reduce expensive data collection time. With MATLAB you can create and evaluate optimal, space filling, and classical designs, and constraints can be designed or imported. Hierarchical statistical models can capture the nature of variability inherent in engine data, accounting for variation both within and between tests. The Model Browser has powerful, flexible tools for building, comparing, and evaluating statistical models and experimental designs. There is an extensive library of prebuilt model types and the capability to build userdefined models.
Author: Perez C. Publisher: Createspace Independent Publishing Platform ISBN: 9781974326297 Category : Languages : en Pages : 244
Book Description
Matlab incorporates a wide variety of statistical models for the design of experiments. A one-stage model fits a model to all the data in one process. If your data inputs do not have a hierarchical structure, and all model inputs are global at the same level, then fit a one-stage model. If your data has local and global inputs, where some variables are fixed while varying others, then choose a two-stage or point-by-point model instead. A two-stage model fits a model to data with a hierarchical structure. If your data has local and global inputs, where some variables are fixed while varying others, then choose a two-stage model. For example, data collected in the form of spark sweeps is suited to a two-stage model. Each test sweeps a range of spark angles, with fixed engine speed, load, and air/fuel ratio within each test. If your data inputs do not have a hierarchical structure, and all model inputs are global, at the same level, then fit a one-stage model instead. For two-stage models, only specify a single local variable. If you want more local inputs, use a one-stage or point-by-point model instead. Point-by-point modeling allows you to build a model at each operating point of an engine with the necessary accuracy to produce an optimal calibration. You often need point-bypoint models for multiple injection diesel engines and gasoline direct-injection engines. With point-by-point models, no predictions are available between operating points. If you need predictions between operating points, use a one-stage model instead. Additionally, MATLAB allows you to work with the following topics: -Apps that support the entire workflow: designing experiments, fitting statistical models to engine data, and producing optimal calibrations -Design-of-Experiments methodology for reducing testing time through classical, space-filling, and optimal design techniques -Accurate engine modeling with data fitting techniques including Gaussian process, radial basis function, and linear regression modeling -Boundary modeling to keep optimization results within the engine operating envelope Generation of lookup tables from optimizations over drive cycles, models, or test data -Export of performance-optimized models to Simulink for use in simulation and HIL testing This book develops the following topics: - "Setting Up Models" - "One-Stage Model" - "Two-Stage Model" - "Point-by-Point Model?" - "Polynomials and Polynomial Splines" - "Linear Modls" - "Growth Models" - "User-Defined Models" - "Transient Models" - "Covariance Modeling" - "Correlation Models" - "Local and Bundary Models" - "Global Models" - "Polynomials and Hybrid Splines" - "Gaussian Process Model" - "Radial Basis Function" - "Hybrid and Interpolating RBF" - "Multiple Linear Models" - "Neural Network Models" - "Assess and Explore Models" - "Selecting Data and Models to Fit" - "Projects and Test Plans" - "Desing Editor and Design Constraints" - "Creating a Space-Filling Design" - "Creating an Optimal Design" - "Creating a Classical Design" - "Manipulate Designs" - "Saving, Exporting, and Importing Designs" - "Fit Models to Collected Design Data - "Data Loading Application Programming Interface"
Author: Olsen F. Publisher: ISBN: 9781540386960 Category : Languages : en Pages : 208
Book Description
Model-Based Calibration Toolbox contains tools for design of experiment, statistical modeling, and calibration of complex systems. The toolbox has two main user interfaces:* Model Browser for design of experiment and statistical modeling* CAGE Browser for analytical calibrationCAGE (CAlibration GEneration) is an easy-to-use graphical interface for calibrating lookup tables for your electronic control unit (ECU). As engines get more complicated, and models of engine behavior more intricate, it is increasingly difficult to rely on intuition alone to calibrate lookup tables. CAGE provides analytical methods for calibrating lookuptables.CAGE uses models of the engine control subsystems to calibrate lookup tables. With CAGE you fill and optimize lookup tables in existing ECU software using models from the Model Browser part of the Model-Based Calibration Toolbox product. From these models, CAGE builds steady-state ECU calibrations. CAGE also compares lookup tables directly to experimental data for validation.
Author: J Lopez
Author: J Lopez
Author: Perez C.
Author: Perez C.
Author: J Lopez
Author: Parker K.
Author: Perez C.
Author: P. Braselton
Author: P. Braselton
Author: Perez C.
Author: Olsen F.