I agree on all counts, naperlou. They've developed a great reputation, but energy storage will be the key as they try to move closer to the mainstream. Elon Musk has said that "half of all cars will be (pure) electric" in 15 years, so I can only assume that's where they're headed. We'll have a blog about that tomorrow.
Chuck, this fits in with Tesla's strategic plan. They brought out the sports car, next the BMW 5 Series competitor (the Model S) and next will be the more mass market car. In the car business the way to make lots of money is to make a mass market vehicle. In manufacturing the real money is in large volumes.
What Tesla is doing is to engineer their cars well as the recent acolades attest to. That gives them a good reputation. By selling the high end cars they get real experience in the field. This is especially important with a totally new technology.
The next step will be something Tesla cannot really control, though. Energy storage has to improve greatly for them to make it in the next step. It will be interesting to see how it plays out.
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.