The Crossover to Model-Based Design Award recognizes EcoCAR teams that exhibit the most creative application of MathWorks software products, including Simulink and MATLAB, to help achieve the competition’s overall objectives. Established by the United States Dept. of Energy (DOE) and General Motors and managed by the Argonne National Lab, the three-year competition challenges teams to reduce the environmental impact of SUVs by improving fuel efficiency and reducing emissions, while retaining the vehicle’s performance and consumer appeal. The task is to reengineer a donated 2009 Saturn Vue and explore advanced propulsion and clean vehicle solutions, including full-function electric, range-extended electric, hybrid, plug-in hybrid and fuel cell technologies. Rather than be a forum for promoting new car design, the challenge is really about fostering and nurturing a new generation of engineers as all participants have to comply with real-world engineering processes.
Teams are evaluated throughout the overall vehicle development process, from plant modeling, controls design and tuning to data analysis, visualization, and hardware implementation. Runners-up for this year’s award are Rose-Hulman Institute of Technology (Terre Haute, IN), and Mississippi State University (Starkville, MS), which also placed first in the overall Year Two competition.
Truchard will be presented the award at the 2014 Golden Mousetrap Awards ceremony during the co-located events Pacific Design & Manufacturing, MD&M West, WestPack, PLASTEC West, Electronics West, ATX West, and AeroCon.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
The IEEE Computer Society has named the top 10 trends for 2014. You can expect the convergence of cloud computing and mobile devices, advances in health care data and devices, as well as privacy issues in social media to make the headlines. And 3D printing came out of nowhere to make a big splash.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.