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Why it's difficult to accurately test the efficiency of a plug-in car

When it comes to electric vehicles and plug-ins in general, the Environmental Protection Agency-certified range is a hugely important number. While actual range anxiety is largely psychological, the magic number does provide a point of comparison of buyers considering one EV over another. The driving distance is also often touted by automakers when marketing their models. Unfortunately, as Green Car Reports finds in a recent deep dive, the way the EPA calculates the figure is a convoluted mess, and discovering the reasons why is definitely worth the read. The issue isn't about bad science but instead comes down to vague wording. The EPA's accepted range test is sourced from an evaluation called J-1634 from the Society of Automotive Engineers, and it seems to provide balanced results for vehicles that automatically reach a single state of charge when plugged in. However for models with multiple charge settings, the situation gets complicated very quickly. Of course, these modes are often created in the software, meaning that a car's certified driving distance can change with just a few taps of the keyboard without the real world results owners might experience actually changing. By showing the test's effects on the certified range for the Tesla Model S, Nissan Leaf and Mercedes-Benz B-Class Electric Drive over the last few years, Green Car Reports makes a compelling argument that it's the evaluation that needs to change. Thankfully, it appears that the solution is a very simple one. Get the details here.

Geely plans to launch hundreds of satellites to guide autonomous cars

BEIJING — China's Zhejiang Geely Holding Group said on Tuesday it was investing 2.27 billion yuan ($326 million) in a new satellite manufacturing plant, where it plans to build low-orbit satellites to provide more accurate data for self-driving cars. Geely, one of China's most internationally-known companies due to its investments in Daimler, Volvo and Proton, is building the facilities in Taizhou, where it has car plants. It aims to produce 500 satellites a year by around 2025, with around 300 highly-skilled staff, it said in a statement. Geely's technology development arm, Geely Technology Group, launched Geespace to research, launch, and operate low-orbit satellites in 2018. Geespace will begin the launch of its commercial low-orbit satellite network by the end of this year, Geely said. Geely said low-orbit satellites would offer high speed internet connectivity, precise navigation, and cloud computing capabilities to cars with autonomous driving technology. Geely, which sold 2.18 million cars last year, is among global automakers from Tesla to Toyota to pursue autonomous driving technologies. It is building low-orbit satellites to meet demand for high-speed connectivity capabilities that can deliver fast software updates. From around 2025, Geely's cars will have more functions to connect to the satellites. Related Video: This content is hosted by a third party. To view it, please update your privacy preferences. Manage Settings.     Green Plants/Manufacturing Mercedes-Benz Volvo Emerging Technologies Autonomous Vehicles

New Die Hard movie wrecked 132 cars in $11 million chase scene [w/video]

It would seem the act of dying hard brings with it lots of wanton destruction of the four-wheeled kind. According to John Moore, director of A Good Day To Die Hard, starring Bruce Willis, There were 132 (cars) that could never be used again. Another 518 required a lot of work. And damn right there were some good cars there... That's the fun of it."
Please join us in one great big collective sigh. Done? Okay, let's continue.
"With Die Hard it's about how audacious the action is," says Moore. "So you have to drive over a Lamborghini. An actual one. And yes it hurts me. I'm a car fanatic." Yeah. Sounds like it hurt really bad... though not as bad as the final tally after all the carnage had been counted: "Someone showed me the numbers on the car chase and soup to nuts, you put it all together it was like an $11 million sequence."