Student Teams Share Their Keys to Success
See how successful teams use MATLAB® and Simulink® in their racecar development. This video series contains all episodes of the MATLAB and Simulink student lounge featuring examples of how teams have improved their car’s performance on the track. For example, learn from AMZ Racing how lap time simulation helped them during concept development, or how TU Delft Racing used automated code generation to bring their vehicle controls to their ECU in less than five minutes.
Videos in English
Weather Forecast System for the World Solar Challenge
Join Nils Tersptra as he discusses how the TU Eindhoven team used MATLAB to forecast weather to help with their race strategy in the World Solar Challenge.
TUfast Eco Team's Longitudinal Cruise Controller
Maximize efficiency by using an algorithm-based driving strategy with a vehicle model and GPS track data. Maximilian Amm, Alexander Hammerl, and Maximilian Mühlbauer designed a velocity controller for their EducEco / Shell Eco Marathon vehicle. Hammerl and Mühlbauer join Christoph Hahn, of MathWorks, to present their vehicle model and discuss their integration of a longitudinal velocity controller.
Lateral Vehicle Dynamics Simulation
Improve your design parameters by modeling lateral vehicle dynamics using a two-mass car model in Simulink, and a Simscape model for sprung mass travel validation. Roni Deb, vehicle dynamics engineer from Camber Racing, demonstrates their models.
Steady-State Lap Time Simulation
Use lap time simulation to make better design decisions. Paco Sevilla, of TUfast Formula Student team, and Christoph Hahn, of MathWorks, explain how lap time simulation can be used to compare vehicle concepts in the early design stage.
Developing a New Control Unit Using an FPGA
Simplify your engine control unit by merging multiple devices and using an FPGA. After an introduction to FPGAs and the Xilinx Zynq 7000 platform, Sebastian Straßl and Alexander Ehard, from Starkstrom Augsburg, demonstrate HDL code generation.
Driver-in-the-Loop Simulations
Håkan Richardson, of Chalmers Formula Student team, and Christoph Hahn, of MathWorks, discuss driver-in-the-loop simulations.
From Telemetry Data to Suspension Modeling
Elias Schmidek of ElefantRacing, the Formula Student Team of the University Bayreuth, introduces you to working with suspension telemetry data to improve car performance.
Lap Time Simulation; Essential Part of Concept Development
Philipp Föhn and Fabrice Oehler from AMZ Racing Team join Christoph Hahn from MathWorks to explain the fundamentals of Lap Time Simulation.
Reduce Testing Time by Vehicle Modeling
Maximilian Wick and Christoph Hahn introduce you to the concept of vehicle modeling with the IPG CarMaker and its interface to Simulink.
Extracting Results from a Large Data Set
Marc Russouw from Monash Motorsport and Christoph Hahn from MathWorks introduce you to the benefits tire modeling can have on your car set up.
Controller Design, Tuning, and Testing
Improve your racecar lap times with vehicle dynamic control modeling and torque vectoring development.
From Model to Racing in Five Minutes
Formula Student Team Delft members, Tom and Daniel, join Christoph Hahn, of MathWorks, to demonstrate the speed and ease of the controller design process so that you can bring your control model to your racecar to improve drivability and performance
Videos in Chinese
Use MATLAB and Simulink to Accelerate Testing Data Analysis and Vehicle Control Algorithm Simulation
Use MATLAB and Simulink to develop automatic data analysis tools, simple data analysis software based on MATLAB GUI, and auto data replay Simulink block.
