Knowledge Center

Hardware-In-Loop Testing of Balance of Plant Controller of Fuel Cell System

Learn how modeling and simulating complete fuel cell stack, balance of power software components and other adjacent systems enables engineers from different domains to collaborate with each other and identify design issues early in the design phase. Thoroughly test controller logic in real-time with hardware-in-the-loop (HIL) test bench using Simulink Real-Time and Speedgoat test system.

Electric Motor Control Webinar Series (2/2): Hardware-in-the-Loop Testing of Electric Motor Control Systems

Learn about real-time solutions accelerate electric motor controls development and testing. By using examples, this two-part webinar series will address topics from controlling and tuning an electric motor to verifying the operation of an electric motor controller against a virtual Motor.

Motor Control Webinar Series (1/2): Rapid Prototyping for Electric Motor Control Designs

Learn about real-time solutions accelerate electric motor controls development and testing. By using examples, this two-part webinar series will address topics from controlling and tuning an electric motor to verifying the operation of an electric motor controller against a virtual Motor.

Fuel Cell Integration for Electrified Propulsion

Explore real-time testing & prototyping solutions for multi-stack fuel cells & battery propulsion systems.

Next Generation Aerospace: Collaborative Simulation and Integration Environments

Learn how you can leverage digital twins and test embedded hardware with Speedgoat HIL simulators for Aerospace applications. Automated and continuous testing of your controllers and controls systems enables you to deliver high-quality systems quickly, and cost-effectively.

Automated and Continuous Hardware-in-the-Loop Testing

Learn about hardware-in-the-loop (HIL) testing and how to efficiently test controls using Speedgoat and MathWorks’ unified HIL solution.

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. 

Electrification Testing and Certification Workflows in Aerospace

This webinar shows how hardware-in-the-loop testing accelerates testing and certification of more electric or vertical take-off and landing (VTOL) aircrafts.

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.

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.

Accelerate Development of Electric Vehicles with Real-time Testing

This webinar presents how real-time testing accelerates innovation of automotive electrification, from electric powertrains and power management systems to high-voltage DC battery chargers. It shows how HIL testing is crucial to de-risk integration testing of electric propulsion and battery management systems.

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

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.

Developing and Testing Control Systems with MATLAB and Simulink

The webinar explains you an engaging learning experience by exposing you to a broad set of real-life testing scenarios, including real-time interactions with digital twin simulators and physical systems, such as motion sensors, electric motors, and robot manipulators.

Timing and Synchronization

Connect distributed systems with multiple nodes and create deterministic real-time applications with Speedgoat timing and synchronization solutions.

Leclanché SA

Developing the next generation Li-ion battery packs for automated guided vehicles.

Full Vehicle Simulation

Create a digital twin of your full vehicle to accelerate testing and verification of control designs and production hardware.

Academia Solutions

Propel your research projects with real-time simulations and discover new ways on how to adapt concepts like Rapid Control Prototyping (RCP) and Hardware-in-the-Loop (HIL) simulations in your laboratory and classroom.

RCP for Wide Bandgap Semiconductors

Control power modules using SiC or GaN wide bandgap (WBG) semiconductors. Speedgoat real-time systems can handle controllers for switching frequencies up to 2 MHz.

Aircraft Onboard Systems

Develop and test controllers for different electric aircraft architectures, including flight cycle evaluation, power electronics switching, and support for grid and aerospace protocols.

Virtual Commissioning

Test and automate testing of large-scale industrial plants and networks with hundreds or thousands of nodes leveraging real protocol interconnects, provided by hardware chips that are used in millions of embedded devices.

Computer Vision

Rapidly build, run, and test video acquisition and control applications with a Speedgoat real-time target machine. There is a wide range of applications from the design of phone cameras to autonomous vehicle systems.

Audio

Highly controlled manipulations are required e.g. for hearing aids, noise cancelling headphones, or car acoustics. Speedgoat real-time systems provide high performance, high-resolution analog and digital I/O, together with MATLAB & Simulink.

Structural Test

Use the Speedgoat system for fast acquisition and monitoring of signal data and for closed control loops. For example, for active anti-damping systems for bridges and buildings, for simulating environmental scenarios such as earthquakes, or for vibration platforms in the automotive and aerospace industries.

Embedded

Leverage real-time target machines for use as embedded controllers.