Very true, let the locals figure out how EVs would work best in their environment. Here in the suburbs of Chicago, a 45 minute commute is typical, although the actual traveled distance is only 15 miles. An EV would work quite well out here even if it had a 100 mile range. If you lived in Montana, that 100 mile range might be cutting things a little close.
@Alex, I believe the answer to your question is in your article here: "The US government is subsidizing the construction of charging stations. Austin, Texas, already has more than 100 stations in place, but, quite frankly, the buildout rate is nowhere near rapid enough to turn EVs into no-muss, no-fuss mainstream driving machines."
The role of the federal US government should be to set standards on things like charging rate, voltage, and environmental disposal rules, not to build charging stations in each neighborhood. If the Feds want to push a particular technology, offer tax incentives to local governments, not the end consumer. Allow the locals to figure out how EVs would work best in their own environment. If it will happen, it will happen.
Just ask Spencer Silver of 3M who discovered an ultra-low tack adhesive in 1968. It wasn't until he met up with Art Fry at 3M in 1974 that they convinced 3M to market Post-It Notes in 1980. Having the US Government issue coupons to consumers in the early 1960's would have done little to spur innovation in the area of slightly-sticky paper...
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.