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

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Automotive Industry Solutions

Automotive Industry Solutions

Accelerate control design innovation and test automation for tomorrow’s mobility.

Industry Use Cases

Rapid Control Prototyping

Hardware-in-the-Loop

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

Rapid Control Prototyping

Rapid Control Prototyping

Accelerate Control Design Innovation With Model-Based Design Ready Solutions for a Worry-Free Test and Simulation Experience.

Workflow Introductions

Rapid Control Prototyping

Industry Use Cases

Powertrain

Powertrain

From engine control and fuel emissions control to the development of powertrain systems for hybrid or fully electric vehicles to testing power and battery management systems.

Industry Use Cases

Rapid Control Prototyping

Hardware-in-the-Loop

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

Full Vehicle Simulation

Full Vehicle Simulation

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

Rapid Control Prototyping

Hardware-in-the-Loop

Industry Use Cases

Computer Vision

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.

Rapid Control Prototyping

Hardware-in-the-Loop

Industry Use Cases

Audio

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.

Rapid Control Prototyping

Hardware-in-the-Loop

Industry Use Cases

Structural Test

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.

Rapid Control Prototyping

Hardware-in-the-Loop

Industry Use Cases

Embedded

Embedded

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

Rapid Control Prototyping

Industry Use Cases

Power Hardware-in-the-Loop

Power Hardware-in-the-Loop

Speedgoat provides a wide range of real-time P-HIL solutions to test and verify power electronics and power system components. Utilize complex physical models designed with MathWorks tools on multi-core CPUs and FPGAs with the highest level of performance.

Hardware-in-the-Loop

Industry Use Cases

Chassis & Vehicle Dynamics

Chassis & Vehicle Dynamics

Develop new control strategies for chassis, steering, and braking (conventional and x-by-wire), suspension (including semi-active and active), and ride comfort systems.

Industry Use Cases

Rapid Control Prototyping

Hardware-in-the-Loop

Infotainment & Multimedia Systems

Infotainment & Multimedia Systems

Validate the various infotainment and multimedia system including instrument clusters, navigation systems, or the vehicle audio systems.

Industry Use Cases

Rapid Control Prototyping

Hardware-in-the-Loop

Automated Driving (AD) and Advanced Driver Assistance Systems (ADAS)

Automated Driving (AD) and Advanced Driver Assistance Systems (ADAS)

Design perception, planning, and control algorithms for all levels of driving automation.

Industry Use Cases

Rapid Control Prototyping

Hardware-in-the-Loop

Cabin, Body, and Comfort

Cabin, Body, and Comfort

Test the various components and regarding ECUs for access control, lighting, HVAC, electronic windows, seat control and more.

Industry Use Cases

Rapid Control Prototyping

Hardware-in-the-Loop

HIL of Battery Management Systems

HIL of Battery Management Systems

Verify, validate, and test battery management system (BMS) controllers and hardware components using hardware-in-the-loop testing (HIL) and battery cell emulators.

Industry Use Cases

Hardware-in-the-Loop

RCP for Motor Control Drives

RCP for Motor Control Drives

Design, test, and validate novel motor control algorithms for electric motors using Simulink® and Speedgoat hardware. Use a wide range of functionality like PWM, encoders, and many more.

Industry Use Cases

Rapid Control Prototyping

Electric Vehicle Powertrains

Electric Vehicle Powertrains

Develop powertrains and fast chargers for electric vehicles including electric motors, inverters, transmissions, and power management systems.

Industry Use Cases

Rapid Control Prototyping

Hardware-in-the-Loop

Power Hardware-in-the-Loop

Power Hardware-in-the-Loop

HIL testing of power components like battery chargers using AC or DC power interfaces. Speedgoat supports power amplifiers from EGSTON Power, Cinergia, and Puissance Plus.

Industry Use Cases

Hardware-in-the-Loop

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

Motion Planning and Experimental Validation for an Autonomous Bicycle

Motion Planning and Experimental Validation for an Autonomous Bicycle

This paper introduces a prototype autonomous two-wheeled vehicle developed for experimental verification of motion planning and control algorithms. Finally, it presents and discusses experiments run on the actual vehicle for a particular maneuver. It emphasizes the differences between the trajectories created by different vehicle models.

Publication on ieeexplore.ieee.org

Published Papers

Rapid Control Prototyping

A Software Architecture for an Autonomous Racecar

A Software Architecture for an Autonomous Racecar

The authors present a detailed description of the software architecture used in the autonomous Roborace vehicles by the TUM-Team. The architecture combines the autonomous software functions perception, planning, and control, which are modularized for use on different hardware and to drive the car on high-speed racetracks. 

Publication on ieeexplore.ieee.org

Published Papers

Minimum Curvature Trajectory Planning and Control for an Autonomous Race Car

Minimum Curvature Trajectory Planning and Control for an Autonomous Race Car

This paper shows a software stack capable of planning a minimum curvature trajectory for an autonomous race car based on an occupancy grid map. It introduces a controller design that allows following the trajectory at the handling limits. The the quadratic optimization problem is extended  for improved accuracy, the introduction of curvature constraints, and the reduction of linearization errors in corners.

Publication on tandfonline.com

Published Papers

Systematic Design of Multivariable Fuel Injection Controllers for Advanced Diesel Combustion

Systematic Design of Multivariable Fuel Injection Controllers for Advanced Diesel Combustion

With multiple fuel injections per combustion cycle, the advanced diesel combustion process depends on all injection pulses in a coupled way. This work describes the cycle-to-cycle fuel injection control problem. A control-oriented model is introduced and locally validated with experimental data. Finally, a systematic design approach is proposed to synthesize a multivariable fuel injection controller.

Publication on ieeexplore.ieee.org

Published Papers

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