Powertrain Blockset provides preassembled automotive vehicle reference applications for gasoline, diesel, hybrid, fuel cell, and battery electric propulsion systems. The blockset includes a component library for engines, traction motors, batteries, transmissions, tires, and driver models, as well as component and supervisory controllers.
Powertrain Blockset offers the Virtual Vehicle Composer app for configuring and parameterizing models, as well as prebuilt workflows for resizing components, calibrating models from data, optimizing shift schedules, and generating deep learning dynamic plant and state estimators. You can use these models for design tradeoff analysis and component sizing, control parameter optimization, and hardware-in-the-loop (HIL) testing. The models are open, so you can incorporate your own subsystems and customize them as needed.
Reference Applications
Closed-loop models for drive cycle, energy management, and performance analyses
Product Highlights
Virtual Vehicle Composer
Interactively parameterize, configure, and build a virtual vehicle for fuel economy, EV range, energy management, and performance analyses.
Engine and Motor Resize Workflows
Use predefined workflows in the Virtual Vehicle Composer app for resizing engines and mapped motors based on high-level specifications such as maximum power. Associated controllers are automatically recalibrated for the resized component.
Generate Deep Learning Component Models
Generate reduced-order models (ROM) using dynamic deep learning networks for vehicle components, including engines or motors, for hardware-in-the-loop (HIL) testing and control design activities.
Virtual Calibration
Calibrate controllers and tune plant model parameters for components including engines, turbochargers, and motors before integrating them with your system-level vehicle model.
HIL and Cloud Support
Capture important physical effects while achieving real-time execution using Simulink Real-Time. Deploy to the cloud to add computing power for large-scale simulation studies.
Simscape Integration
With Simscape, incorporate electrical, thermal, and mechanical designs into your vehicle models by assembling components into a schematic or selecting prebuilt options in the Virtual Vehicle Composer app.
Product Resources:
Powertrain Blockset FAQs
Powertrain Blockset provides preassembled reference applications for conventional (gasoline or diesel), electrified (battery electric or hybrid electric), and hydrogen (fuel cell or H2 ICE) propulsion systems.
The Virtual Vehicle Composer is an app for interactively configuring and parameterizing vehicle models, with prebuilt workflows for resizing components, calibrating models from data, optimizing shift schedules, and generating deep learning estimators. Use it to quickly generate vehicle models tailored to your design requirements.
Yes, the models are open so you can incorporate your own subsystems and customize them as needed.
The blockset includes a component library for engines, traction motors, batteries, transmissions, driveline components, tires and driver models, as well as component and supervisory controllers.
Yes, you can use these models for hardware-in-the-loop (HIL) testing and achieve real-time execution using Simulink Real-Time, enabling controller validation and system testing. The models are compatible with all major HIL providers. See this example for more information.
You can use the models for design tradeoff analysis and component sizing, control parameter optimization, fuel economy and EV range analyses, energy management, and performance analyses.
Yes, you can generate reduced-order models using dynamic deep learning networks for vehicle components like engines or motors for HIL testing and control design activities.
Yes, Powertrain Blockset supports integration with Simscape for modeling electrical, thermal and mechanical systems. Many pre-built vehicle models in Powertrain Blockset use Simscape-based components.
Yes, Powertrain Blockset models are open and customizable, so you can integrate with products like Vehicle Dynamics Blockset and Simscape to include additional details in your model. You can use products like Model-Based Calibration Toolbox and Optimization Toolbox to calibrate the plant and controller models in Powertrain Blockset. It is also compatible with products like Simulink Real-Time for HIL testing and Parallel Computing Toolbox for large-scale simulation studies.
That depends on the controller and the parameter values provided. When parameters can be taken from physical test data (e.g., engine dyno data, tire test data), the models can reproduce real world results quite well. Because Powertrain Blockset includes generic, representative controls, the vehicle may behave differently than it would with production controllers. For more information, see <a href="/content/mathworks/se/en/videos/develop-virtual-vehicles-using-powertrain-blockset-1747216323431.html">this presentation</a> from FEV on how they calibrated a Powertrain Blockset EV model from vehicle test data.
Yes, Powertrain Blockset includes standard drive cycle data, such as FTP75, US06, and other commonly used cycles for evaluating fuel economy, emissions, and performance.
Yes, Powertrain Blockset includes engine dynamometer models and supports virtual calibration workflows, enabling you to calibrate and validate plant models and controllers before integrating them into a full vehicle system.
Yes, you can import measurement data to parameterize and validate models using real test data.
