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

Content


Electric Motor Control Reference Application

Electric Motor Control Reference Application

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

Reference Applications

Rapid Control Prototyping

Hardware-in-the-Loop

Simscape Vehicle Templates

Simscape Vehicle Templates

Run custom Simscape Vehicle Models in Real-Time

Reference Applications

Hardware-in-the-Loop

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

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

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 Applications

Hardware-in-the-Loop

Rapid Control Prototyping

Lane Detection on FPGA Reference Application

Lane Detection on FPGA Reference Application

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

Reference Applications

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 Applications

Hardware-in-the-Loop

Rapid Control Prototyping

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

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