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AGCO Fendt

AGCO Fendt

Automated testing of tractor controllers using Hardware-in-the-Loop test benches.

Success Stories

Hardware-in-the-Loop

IAV

IAV

Decreasing Plant Downtimes Through Test Automation of PLC Control Functions with a Digital Twin.

Success Stories

Hardware-in-the-Loop

Proterra

Proterra

Zero-emission battery electric bus charges at on-route bus station.

Success Stories

Hardware-in-the-Loop

Tongji University

Tongji University

Accelerating the development of a driver-adaptive ADAS control strategy using hardware-in-the-loop simulation.

Success Stories

Hardware-in-the-Loop

TUM Hyperloop

TUM Hyperloop

Building Hyperloop pods to revolutionize terrestrial transportation.

Success Stories

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

Leclanché SA

Leclanché SA

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

Hardware-in-the-Loop

Success Stories

ClearMotion

ClearMotion

A ground-breaking active suspension system to transform the driving experience.

Success Stories

Rapid Control Prototyping

Flanders Make

Flanders Make

Development of a High Precision Vehicle Drivetrain Test Bench.

Success Stories

Rapid Control Prototyping

GreenTeam

GreenTeam

Formula Student racing success achieved through powertrain innovation.

Success Stories

Rapid Control Prototyping

Mobileye

Mobileye

Driving technology towards a fully autonomous vehicle.

Success Stories

Rapid Control Prototyping

Stanford University

Stanford University

Reducing emissions with low-carbon fuels.

Success Stories

Rapid Control Prototyping

ZKW Lichtsysteme GmbH

ZKW Lichtsysteme GmbH

Developing Intelligent Lighting Systems for the Next Generation of Vehicles.

Success Stories

Rapid Control Prototyping

Incova

Incova

Designing intelligent valve-control system for a 20 ton excavator

Success Stories

Rapid Control Prototyping

Nuvera

Nuvera

Reducing commercial vehicle emissions using hydrogen fuel cells.

Success Stories

Hardware-in-the-Loop

Ponsse

Ponsse

Cutting development time for harvester control software by at least a year with model-based design.

Success Stories

Rapid Control Prototyping

Tata Motors

Tata Motors

Developing autonomous driving software including sensor perception, motion planning, and vehicle control algorithms.

Success Stories

Hardware-in-the-Loop

Volvo

Volvo

Equipment streamlines product development with a real-time, Human-in-the-Loop Simulator.

Success Stories

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

Control for a Supercapacitor Hybrid Energy Storage System Used in Electric Vehicles

Control for a Supercapacitor Hybrid Energy Storage System Used in Electric Vehicles

This paper proposes the control strategy of a fully active hybrid energy storage system, which uses two bi-directional DC/DC converters to decouple supercapacitors and the battery pack from the DC bus. A Lyapunov-function-based controller regulates DC bus voltage, and a sliding mode controller, controlling the battery and supercapacitor currents, is designed. Their performance is validated by simulation and experimental data. 

Publication on sciencedirect.com

Published Papers

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