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Former Fisker CEO has some advice for Tesla Motors

Former Fisker Automotive CEO and ex-Chevrolet Volt vehicle-line director Tony Posawatz has some words of caution for Tesla Motors. The long-time automaker executive questions the California automaker's long-term viability – and gives some praise – in a talk with Benzinga, which you can listen to below. While the all-wheel-drive D that Tesla unveiled earlier this month in Southern California wowed a packed crowd, Posawatz (starting at around minute 4:45 in the interview) says Tesla would've been better off taking the resources it expended toward that Model S upgrade and directed them towards speeding up the development of a more affordable plug-in. Perhaps a number of investors agreed, since the company's stock fell the day after the D was announced. Posawatz says Tesla has been over-reliant on the sale of ZEV credits. Posawatz also says that Tesla has been over-reliant on the sale of zero-emissions vehicle credits in California for its earnings and questions whether the automaker will ever work at a large enough scale to sufficiently drive down costs and make consistent profits. Tesla CEO Elon Musk would take issue with this characterization. Posawatz first made his mark in the plug-in vehicle world when he was the vehicle-line director at General Motors for the Volt extended-range plug-in from 2006 to 2012. Later that year, he joined extended-range plug-in maker Fisker Automotive as its CEO, though quit that job during the summer of 2013 as the company was descending into insolvency. He joined the Electrification Coalition this past March. News Source: Benzinga Green Chevrolet Fisker Tesla Electric PHEV Tony Posawatz

EcoCar3 will convert Camaro to bitchin' eco rides

In the 47-year-history of the Chevrolet Camaro, there have been countless college-age kids spending a ton of time getting under the hood and souping 'em up. Now, General Motors is adding a twist to the concept by donating 16 Camaros for the EcoCar challenge that puts university teams together to wring out better fuel-efficiency out of various vehicles. No word on whether there will be donuts on anyone's lawn, as suggested by 80's punks the Dead Milkmen, but the idea's never a bad one. EcoCar3 will feature 16 teams such as Arizona State, Penn State, Ontario's University of Waterloo and, of course, Detroit's Wayne State University. They'll spend the next four years "[reducing] environmental impact, while maintaining the muscle and performance expected from this iconic American car," as the EcoCar organizers say. The goal is to maintain body design and safety standards while boosting efficiency and lowering emissions, but the actual process is far more complicated than that description suggests. The California Air Resources Board (CARB) and Bosch are among the sponsors of the contest, which is also put on by the US Department of Energy and managed by Argonne National Laboratory. Penn State won Year Two of the three-year EcoCar 2 competition with its E85 plug-in hybrid electric vehicle converted out of a Chevy Malibu. The grand-prize winner of EcoCar2 will be announced in June. Check out the EcoCar3 website and see the announcement video below for more details. This content is hosted by a third party. To view it, please update your privacy preferences. Manage Settings.

Watch how Corvette Racing's new collision-avoidance radar system works

When it comes to technology used in racecars, we generally expect it to trickle down to production cars, not the other way around. Well, Pratt & Miller has developed a new rear-facing radar that operates in a similar fashion to what we're used to in modern blind spot detection systems, only it is also capable of tracking cars as they approach and relaying vital information to the driver via a large display screen.
The innovative radar system debuted at last weekend's 12 Hours of Sebring for Corvette Racing, and this system makes perfect sense for endurance races like this since the cars sometimes have to drive through the night and in poor weather conditions.
The radar can detect cars even with poor visibility, and uses easy-to-distinguish symbols for the driver to identify.