Those look like some pretty high barriers to use in smaller passenger vehicles: difficulty in shrinking everything into a smaller package, and especially the noise. No matter the frequency, some of us definitely don't want a lot of noise and find any highly irritating. And for others of us, we need to hear what kids or other people are saying inside the vehicle, so adding noise to the internal environment sounds like an even worse idea. I hope the auto makers considering the use of this technology in passenger cars are going to do some thorough pre-market user studies.
The technology started in heavy equipment, such as John Deere's hydrostatic drive. Anyone who has operated equipment with and without hydraulic drive will swear by it. While my experience has been off-road use, I am optimistic about how on-road use will work. This could very well cause a paradigm shift for, at least, heavy trucks.The auto market could be a little more resistant though; it tends to be more traditional.
This is one of those "V-8 moments," where you think to yourself that of course it makes sense that hybrid drive trains come to heavier trucks. In large fleets, even small fuel savings add up. Indeed, the economics probably make far more sense than they do for personal passenger cars, where you have trouble amortizing the cost of the vehicle versus the fuel savings. Not so in heavier trucks in large fleets, where the numbers work out much more quickly/easily.
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.