Yes, this story was surprising to me, Chuck. I didn't realize how much of the hybrid and EV technology IP is not owned by the OEMs. I can understand the financial and technical benefits of shifting electrical power system development to suppliers, but it's odd to think of the OEMs not owning the technology in their cars.
I agree that the plug-in hybrid market will be slower in developing, naperlou. Vehicles such as the Volt have bigger batteries (although not nearly as big as those of pure EVs) and cost will be a bigger issue for those vehicles for awhile. We will see faster growth in mild hybrids and micro-hybrids that use start-stop technology, however.
Interesting story, Rob. This is going to be a big area for tier-one suppliers because the electrical architectures in hybrids are so much different than those of our more conventional gas-burning vehicles. Many of the hybrids have high power architectures of 360V or more.
Good point, Naperlou. I think Lear is in this for the long run. They are developing significant IP in this territory. With much of the hybrid and EV technology, suppliers like Lear may own more of the IP than their OEM customers.
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.