Ghosn, who has spearheaded Nissan’s effort to go with battery-powered electric vehicles instead of hybrids, said that traditional gasoline-powered cars would continue to dominate the market for many years. He predicted that about 10% of vehicles sold worldwide by 2020 would be powered by electricity.
“We’re not going to take the market by storm,” Ghosn said. “Electricity is going to complement oil.”
Nissan’s Leaf electric vehicle is currently on a multi-city tour of the U.S. On the tour, Ghosn has said that more than 25,000 people signed up on Nissan’s web site expressing interest in the vehicle, according to the AP.
Ghosn’s view of the electric car market could be considered optimistic by comparison to a study recently released by Lux Research. The Lux study contends that if oil remains at $70 per barrel, electric vehicles will be just 3% of global new car sales by 2020.
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.