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Collection of videos, reference examples, and more to support your real-time simulation and testing workflows

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Hardware-in-the-Loop Testing of Battery Management Systems

Hardware-in-the-Loop Testing of Battery Management Systems

Expedite testing of Battery Management Systems (BMS) with hardware-in-the-loop (HIL) simulation and battery cell emulation

Reference Examples

Hardware-in-the-Loop

Controller HIL Testing for Induction Motor

Controller HIL Testing for Induction Motor

Accelerate testing of embedded motor controllers by simulating a three-phase induction motor drive as hardware-in-the-loop

Reference Examples

Hardware-in-the-Loop

Controller HIL Testing for Three-Phase PMSM with Two-Level Inverter

Controller HIL Testing for Three-Phase PMSM with Two-Level Inverter

Accelerate testing of embedded motor controllers by simulating a three-phase PMSM drive as hardware-in-the-loop

Reference Examples

Hardware-in-the-Loop

Hardware-in-the-Loop Testing of Microgrid Energy Management System

Hardware-in-the-Loop Testing of Microgrid Energy Management System

This reference example demonstrates how to perform model-in-the-loop (MIL) and hardware-in-the-loop (HIL) simulation of a grid-connected/islanded microgrid.

Reference Examples

Hardware-in-the-Loop

Controller HIL Testing of Grid-side Converter

Controller HIL Testing of Grid-side Converter

Advance integration of grid-tied converters for renewables and distributed energy sources using hardware in the loop testing

Reference Examples

Hardware-in-the-Loop

Hardware-in-the-Loop Testing of More Electric Aircraft Energy Management System

Hardware-in-the-Loop Testing of More Electric Aircraft Energy Management System

This reference example demonstrates how to perform model-in-the-loop (MIL) and hardware-in-the-loop (HIL) testing of an energy magement system (EMS) design for a More Electric Aircraft (MEA).

Reference Examples

Hardware-in-the-Loop

Hardware-in-the-Loop Testing of a Shipboard Power System

Hardware-in-the-Loop Testing of a Shipboard Power System

This reference example demonstrates how to perform model-in-the-loop (MIL) and hardware-in-the-loop (HIL) simulation of a two-zone medium voltage direct current (MVDC) shipboard power system.

Reference Examples

Hardware-in-the-Loop

Electric Motor Controls with Simulink

Electric Motor Controls with Simulink

Design, prototype, and test your brushless DC motor controls using Simulink and Speedgoat hardware

Reference Examples

Rapid Control Prototyping

Hardware-in-the-Loop

Controller HIL Testing of LLC Resonant Converter

Controller HIL Testing of LLC Resonant Converter

Accelerate testing of embedded DC/DC power converter controllers by simulating a half-bridge LLC resonant converter as hardware-in-the-loop

Reference Examples

Hardware-in-the-Loop

Simscape Vehicle Templates

Simscape Vehicle Templates

Run custom Simscape Vehicle Models in Real-Time

Reference Examples

Hardware-in-the-Loop

Lane Detection on FPGA Reference Example

Lane Detection on FPGA Reference Example

Learn how to perform hardware-accelerated vision processing for driver assistance and automated driving systems by implementing real-time lane detection.

Reference Examples

Hardware-in-the-Loop

Real-Time Lane Keeping Assist

Real-Time Lane Keeping Assist

Prove and test your model predictive lane following controller using real-time virtual vehicle simulation with raw synthetic camera data.

Reference Examples

Rapid Control Prototyping

Hardware-in-the-Loop Testing of Control Algorithms for Modular Multi-Level Converters

Hardware-in-the-Loop Testing of Control Algorithms for Modular Multi-Level Converters

Learn how to Test Embedded Controllers for Complex Modular Multi-Level Converters

Hardware-in-the-Loop

Reference Examples

FPGA-Based HIL Testing of Grid-Side Converters

FPGA-Based HIL Testing of Grid-Side Converters

Use an integrated workflow to test grid-side converters safely without requiring physical prototypes.

Reference Examples

Hardware-in-the-Loop

Real-Time Simulation and Control of High-Performance All-Electric Autonomous Racing Cars

Real-Time Simulation and Control of High-Performance All-Electric Autonomous Racing Cars

Discover the full autonomous software stack from Technical University of Munich’s Roborace team. Designed with Simulink and ready to run on Speedgoat.

Reference Examples

Hardware-in-the-Loop

Rapid Control Prototyping

Real-Time Driver-in-the-Loop Reference Example

Real-Time Driver-in-the-Loop Reference Example

Learn how to create and run real-time virtual vehicles and Driver-in-the-Loop simulators to safely test and validate your new designs.

Reference Examples

Hardware-in-the-Loop

Rapid Control Prototyping

Designing a Generic, Software-Defined Multimode Radar Simulator For FPGAs Using Simulink HDL Coder and Speedgoat Real-Time Hardware

Designing a Generic, Software-Defined Multimode Radar Simulator For FPGAs Using Simulink HDL Coder and Speedgoat Real-Time Hardware

This publication focuses on the implementation and testing of a fully-parameterized radar signal processing prototype. A Speedgoat Performance machine with two Simulink-Programmable FPGA I/O modules IO342 are used for the implementation of a radar signal processing design containing several common waveforms and tunable parameters and a radar scene generator for delay, doppler, and amplitude measurement.This setup helped increase the simulation fidelity while reducing the time to test.

Published Papers

Design, Simulation and Hardware-in-the-Loop (HIL) Testing of an Electric Scooter Powertrain

Design, Simulation and Hardware-in-the-Loop (HIL) Testing of an Electric Scooter Powertrain

This publication focuses on an algorithm to control a brushless DC motor. A Speedgoat performance machine runs a digital twin of the motor on both the CPU and the FPGA-based I/O module IO334 and is connected via the analog channels to the controller, an MCU by Texas Instruments. With this HIL setup, the performance of the control algorithm was tested. 

Published Papers

Hardware-in-the-Loop

Certification Process for a Hybrid Electric Aircraft

Certification Process for a Hybrid Electric Aircraft

The scientific aviation association (FVA) is developing the FVA 30, a hybrid electric motor glider, to research alternative propulsion systems. This article focuses on the certification process of the FVA 30 power train, using a Speedgoat target computer.

Hardware-in-the-Loop

Published Papers

Battery Management System Integration into an Electronic Control Module for a Hybrid Electric Aircraft

Battery Management System Integration into an Electronic Control Module for a Hybrid Electric Aircraft

Th­is article focuses on BMS integration into the electronic control module (ECM) of the FVA 30 hybrid electric motor glider using a Speedgoat real-time target machine. The challenge is to design an ECM for reliable data processing, allowing pilots to monitor and control the drivetrain.

Published Papers

Rapid Control Prototyping

Assessment of State-of-Charge Estimation Method for Lithium-Ion Batteries

Assessment of State-of-Charge Estimation Method for Lithium-Ion Batteries

In this paper, a numerical model of lithium-ion batteries is developed and deployed to a Speedgoat Baseline target machine. The estimation method for the state-of-charge (SOC), based on a nonlinear autoregressive with exogenous input (NARX) and artificial neural networks (ANNs) that are correctly trained with multiple datasets, is designed, and experimentally validated by hardware-in-the-loop simulation.

Publication on mdpi.com

Published Papers

Hardware-in-the-Loop Testing (HIL) of State-of-Charge (SoC) Estimation for Li-Ion Batteries

Hardware-in-the-Loop Testing (HIL) of State-of-Charge (SoC) Estimation for Li-Ion Batteries

This study presents the design and validation of an SoC estimation method for lithium-ion batteries in hybrid-electric vehicles (HEV). The battery model is deployed on a Speedgoat Baseline machine connected to a Raspberry Pi emulating the ECU based on an artificial neural network for HIL testing. The algorithm can estimate the SoC of the battery with 2% accuracy during real-time testing.

Published Papers

Hardware-in-the-Loop

Vorticity Dynamics of Leading-Edge Vortex Formation on a Revolving Wing

Vorticity Dynamics of Leading-Edge Vortex Formation on a Revolving Wing

A leading-edge vortex (LEV) forms and remains stably attached on high angle-of-attack (AoA), low aspect ratio (AR) wings undergoing revolving or flapping motion at an insect’s wing. Here, the LEV formation on a revolving wing is investigated. The 'Shake-the-box' (STB) Lagrangian particle tracking velocimetry (PTV) system and a volumetric patching process helped reconstruct the entire time-resolved flow field.

Publication on springer.com

Published Papers

Independent Generation of Sequence Elements by Motor Cortex

Independent Generation of Sequence Elements by Motor Cortex

Rapid execution of motor sequences depends on fusing movement elements into cohesive units that are executed holistically. The contribution of the primary motor and dorsal premotor cortex to this ability is determined in this paper. Also, the hypothesis that movement elements fuse makes specific predictions regarding three forms of activity, preparation, initiation, and execution is investigated.

Publication on nature.com

Published Papers

A Self-Tuning Robust Control System for Nonlinear Simulation

A Self-Tuning Robust Control System for Nonlinear Simulation

A transfer system is used to enforce the interface interaction between computational and physical substructures in a real-time hybrid simulation. A model-based, multilayer nonlinear control system is developed to accommodate extensive performance variations and uncertainties in a physical substructure. This work aims to extend the application of real-time simulation to investigating failure, nonlinearity, and nonstationary behavior. 

Publication on wiley.com

Published Papers

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