Soon drivers will be able to plot eco-friendly routes. Engineers from Audi of America Inc.'s California Research Labs are working with three California universities to reduce CO2 emissions through intelligent interactions between the driver and the car. "The path between two points can be measured in distance, but it can also be measured in the amount of carbon dioxide that our vehicles emit," says Daniel Rosario, Audi's manager of Connected Vehicles. When drivers choose a route with the lowest CO2 emissions, they can improve fuel efficiency by 20 percent. Rosario notes the technology exists today — it just needs to be integrated into an "intelligent vehicle network."
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.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
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.