MATLAB and Simulink Racing Lounge: Cruise Control in Efficiency Challenges
From the series: Formula Student Teams Share Their Keys to Success
Christoph Hahn, MathWorks
Alexander Hammerl, TUfast
Maximilian Mühlbauer, TUfast
Maximilian Amm, TUfast
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.
First, Alexander Hammer presents how to set up a vehicle model with focus on modelling losses, the driver, and the circuit to generate an optimal track-specific driving strategy using a genetic algorithm. You’ll get a complete model overview of the components used for the simulation including the circuit model, vehicle model, driver, and controls model.
Next, Maximilian Mühlbauer talks about using the results of the simulation. Maximilian explains how hardware implementation is a crucial part in the development process, and the advantages and disadvantages of a cruise control system.
TUfast Eco Team has specialized in efficiency competitions where the goal is to travel while using as little energy as possible. Having a cruise control system can be a huge advantage for driving performance. Thank you TUfast Eco Team for presenting the approach.
Recorded: 12 Jan 2017
Other Resources
Series: Formula Student Teams Share Their Keys to Success
MATLAB and Simulink Racing Lounge: Cruise Control in Efficiency Challenges 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.
MATLAB and Simulink Racing Lounge: 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.
MATLAB and Simulink Racing Lounge: 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.
MATLAB and Simulink Racing Lounge: Using Simulation to Boost Race Car Development Learn how to develop an electric powertrain from scratch using Simscape for simulation. Alex Girard, from the Virginia Tech Formula SAE team introduces their approach to vehicle modeling. Together with Christoph Hahn, from MathWorks.
MATLAB and Simulink Racing Lounge: 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.
MATLAB and Simulink Racing Lounge: Driver-in-the-Loop Simulations Håkan Richardson, of Chalmers Formula Student team, and Christoph Hahn, of MathWorks, discuss driver-in-the-loop simulations.
MATLAB and Simulink Racing Lounge: 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.
MATLAB and Simulink Racing Lounge: 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.
MATLAB and Simulink Racing Lounge: 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.
MATLAB and Simulink Racing Lounge: Tire Modeling; 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.
MATLAB and Simulink Racing Lounge: Interview with Owen Carless, Chief Judge, FSG 2014 Learn about the latest Formula Student trends and developments in this discussion with technical education specialist Christoph Hahn and Formula Student Germany chief judge Owen Carless.
MATLAB and Simulink Racing Lounge: Torque Vectoring - Controller Design, Tuning, and Testing Improve your racecar lap times with vehicle dynamic control modeling and torque vectoring development.
MATLAB and Simulink Racing Lounge: 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
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