Rimac needed a supercomputer in order to handle the millions of computations necessary to create their C_Two electric hypercar.
Rimac Automobili, the Croatian electric hypercar manufacturer and design house, has a pretty insane vehicle on their hands. The C_Two, an evolutionary design from the C_One, has four electric motors, a carbon fiber monocoque chassis, and a 120 kWh battery back on the floor for structural rigidity.
All of that is pretty standard stuff. What is not standard is the car’s reported performance: 1,914 hp, zero to sixty in 1.85 seconds, and a top speed of 258 mph.
Rimac also says their electric hypercar will have a range of 404 miles, although it seems highly unlikely to still have that kind of range if you’re driving it anywhere near the 258 mph mark.
Getting all that performance out of an electric powertrain is hard to do. Impossible, even, unless you’ve got a supercomputer to work out all the aerodynamic kinks.
In a new video posted to the company’s YouTube channel, Rimac explained the process for creating the C_Two and getting it to be as aerodynamic as humanly possible. Or should we say computationally possible?
Maximizing the car’s efficiency means getting air to where it needs to be and removing it from where it doesn’t. This means active aerodynamics, of which the C_Two has plenty. An active rear wing, rear diffuser, front intake, and hood blade all help change the aerodynamic shape of the car to produce either more or less downforce, depending on what the car is doing.
Getting the car perfect meant running lots of computational fluid dynamics problems--millions, in fact. Solving a problem with 17 million variables isn’t something that a human could do in their lifetime, but a supercomputer with nearly 7,000 processors can do it, which is exactly what Rimac used to create their virtual C_Two.
Before they made a wind tunnel model, Rimac made their virtual C_Two as best they could. When they finally made the wind tunnel model to test the computer’s findings, they found the computer was only 2.4% off their real-world findings, which is pretty darned close.
So the next time you’re wondering how a car can get to 60 mph in under two seconds, just remember one word: supercomputers.