Applications automobiles

Modéliser et simuler des systèmes automobiles avec Simulink^® et d'autres produits MathWorks^®

Simulink permet de modéliser et simuler de nombreux systèmes automobiles. Il est possible de modéliser et simuler un véhicule et son environnement et de développer des algorithmes de contrôle pour des applications automobiles. Ces exemples de modèles illustrent de telles applications.

Les produits suivants viennent compléter l'environnement Simulink pour les applications automobiles :

Powertrain Blockset propose des modèles d'application de référence entièrement assemblés de groupes motopropulseurs automobiles comprenant des systèmes essence, diesel, hybrides et électriques.
Vehicle Dynamics Blockset propose des modèles d'application de référence entièrement assemblés qui simulent les manœuvres de conduite dans un environnement 3D.
Automated Driving Toolbox propose des algorithmes et des outils pour concevoir, simuler et tester des systèmes ADAS et de conduite autonome.
Model-Based Calibration Toolbox propose des applications et des outils de design pour le calibrage optimal de moteurs complexes et de sous-systèmes de groupes motopropulseurs.

Rubriques

Getting Started with Powertrain Blockset (Powertrain Blockset)
Run the conventional vehicle reference application and examine the final drive gear ratio impact on fuel economy and tailpipe emissions.
Yaw Stability on Varying Road Surfaces (Vehicle Dynamics Blockset)
To study yaw stability on different road surfaces, use the vehicle dynamics double-lane change reference application.
Simulate Simple Driving Scenario and Sensor in Unreal Engine Environment (Automated Driving Toolbox)
Learn the basics of configuring and simulating scenes, vehicles, and sensors in a virtual environment rendered using the Unreal Engine^® from Epic Games^®.
Predict Engine Torque Using Two-Stage Modeling (Model-Based Calibration Toolbox)
Create a statistical engine model that predicts engine brake torque as a function of spark angle.

Exemples présentés

Model Fault-Tolerant Fuel Control System

Combine Stateflow® with Simulink® to model hybrid systems. This type of modeling is particularly useful for systems that have numerous possible operational modes based on discrete events. Traditional signal flow is handled in Simulink while changes in control configuration are implemented in Stateflow. The model described in this example represents a fuel control system for a gasoline engine. The system is robust in that individual sensor failures are detected and the control system is dynamically reconfigured for uninterrupted operation.

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Using a Data Dictionary to Manage the Data for a Fuel Control System

Use data dictionaries to manage the data for a fuel rate control system designed using Simulink® and Stateflow®.

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Model Engine Timing Using Triggered Subsystems

Model a four-cylinder spark ignition internal combustion engine from the throttle to the crankshaft output using triggered subsystems. In this example, the sldemo_engine model is based on [1].

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Engine Timing Model with Closed Loop Control

Enhance a version of the open-loop engine model described in Model Engine Timing Using Triggered Subsystems. This model, sldemo_enginewc, contains a closed-loop and shows the flexibility and extensibility of Simulink® models. In this enhanced model, the objective of the controller is to regulate engine speed with a fast throttle actuator, such that changes in load torque have minimal effect. This is easily accomplished in Simulink by adding a discrete-time PI controller to the engine model.

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Building a Clutch Lock-Up Model

Use Simulink® to model and simulate a rotating clutch system. Although modeling a clutch system is difficult because of topological changes in the system dynamics during lockup, this example shows how enabled subsystem can easily handle such problems. We illustrate how to employ important Simulink modeling concepts in the creation of the clutch simulation. Designers can apply these concepts to many models with strong discontinuities and constraints that may change dynamically.

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Modeling Clutch Lock-Up Using If Blocks

Use If/Else subsystems to build a clutch model. An 'If' subsystem models the clutch dynamics in the locked position while an 'Else' subsystem models the unlocked position. One or the other is enabled using the 'If' block. The dot-dashed lines from the 'If' block denote control signals, which are used to enable If/Else (or other conditional) subsystems. Checking any of the boxes on the GUI produces a plot of any of the selected variables (versus time).

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Model an Anti-Lock Braking System

Model a simple Anti-Lock Braking System (ABS). The model simulates the dynamic behavior of a vehicle under hard braking conditions. The model represents a single wheel, which may be replicated a number of times to create a model for a multi-wheel vehicle.

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Automotive Suspension

Model a simplified half-car model that includes an independent front and rear vertical suspension. The model also includes body pitch and bounce degrees of freedom. The example provides a description of the model to show how simulation can be used to investigate ride characteristics. You can use this model in conjunction with a powertrain simulation to investigate longitudinal shuffle resulting from changes in throttle setting.

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Model an Automatic Transmission Controller

Model an automotive drivetrain with Simulink®. Stateflow® enhances the Simulink model with its representation of the transmission control logic. Simulink provides a powerful environment for the modeling and simulation of dynamic systems and processes. In many systems, though, supervisory functions like changing modes or invoking new gain schedules must respond to events that may occur and conditions that develop over time. As a result, the environment requires a language capable of managing these multiple modes and developing conditions. In the following example, Stateflow shows its strength in this capacity by performing the function of gear selection in an automatic transmission. This function is combined with the drivetrain dynamics in a natural and intuitive manner by incorporating a Stateflow block in the Simulink block diagram.

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Vehicle Electrical System

Simulate the electrical system of a vehicle using Simulink® and Simscape™ Electrical™.

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Simulating Automatic Climate Control Systems

Simulate an automatic climate control system in a car using Simulink® and Stateflow®.

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Vehicle Electrical and Climate Control Systems

Model a vehicle climate control system with an electrical system. Use the model to examine the loading effects of the climate control system on the entire vehicle electrical system.

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Power Window Control Project

Use Model-Based Design to implement a power window system for an automobile.

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Wireless Tire Pressure Monitoring System with Fault Logging

Model a wireless tire pressure monitoring system with fault logging using message communication.

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