CIMdata PLM Industry Summary Online Archive
9 July 2013
Company News
EcoCAR 2 Team from University of Victoria Wins First Place MathWorks Award for Innovative Model-Based Design
MathWorks today announced that University of Victoria has won the MathWorks modeling award as part of the EcoCAR 2 student competition. The award recognizes the team’s use of MATLAB and Simulink for Model-Based Design during the three-year competition to reengineer a 2013 Chevrolet Malibu to improve its fuel efficiency. Other schools to place included Ohio State University and Mississippi State University, winning second and third place respectively.
Eleven EcoCAR 2 teams participated in the MathWorks Modeling Award competition. The teams demonstrated their innovative use of modeling and simulation through a presentation and Q&A session coinciding with the end of Year Two of the three-year challenge. Winners were assessed on how well they applied Model-Based Design concepts using MathWorks tools, including the key areas of plant modeling, control design and tuning, data analysis, industrial grade Model-Based Design development process elements, and lessons learned.
“Student competitions are a great way to inspire our next generation of engineers while giving them an appreciation for working toward greater causes,” said Paul Smith, Director, Consulting Services Group, MathWorks. “These competitions also give students real-world engineering experience with the hardware and software used in professional environments. MathWorks was very impressed with the enthusiasm and professionalism of the student presenters.”
EcoCAR 2 Ohio State University team used Model-Based Design to increase quality and reduce development time.
Colorado State University’s EcoCAR 2 team improved productivity by using simulation to test and validate models.
To be eligible for the award, teams must be active participants in the 2013 EcoCAR 2 Challenge, a competition organized by the U.S. Department of Energy and General Motors. The teams use Model-Based Design, an approach in which a virtual model is at the center of system development, from initial design and simulation through to testing and implementation. The contestants used online and offline parallel optimization of fuel economy at the vehicle level.
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