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

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Real-Time Simulation and Testing with Simulink Real-Time and Speedgoat Hardware

Real-Time Simulation and Testing with Simulink Real-Time and Speedgoat Hardware

Speedgoat real-time solutions and Simulink® are expressly designed to work together for creating real-time systems for desktop, lab, and field environments.

Workflow Introductions

Hardware-in-the-Loop

Rapid Control Prototyping

Hardware-in-the-Loop Simulation

Hardware-in-the-Loop Simulation

Effectively Test Controls with Real-Time Digital Twins and Automated Testing.

Workflow Introductions

Hardware-in-the-Loop

Industry Use Cases

Introduction to Speedgoat Simulink-Programmable FPGAs

Introduction to Speedgoat Simulink-Programmable FPGAs

Learn about the Simulink-integrated workflows to program FPGA I/O modules easily and directly from your model.

Workflow Introductions

Hardware-in-the-Loop

Rapid Control Prototyping

Speedgoat Configurable I/O Modules

Speedgoat Configurable I/O Modules

Learn about the Simulink-integrated workflows to configure I/O modules easily and directly from your model.

Workflow Introductions

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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