Arcimoto precisely calls its electrical three-wheeler a Fun Utility Vehicle—we first examined one at CES 4 years in the past, and it stays one of many extra entertaining autos I’ve pushed for Ars. The firm began delivering the primary FUVs to prospects final September, nevertheless it’s not fairly finished with the design for this partaking little machine. As you in all probability know, weight is the enemy of effectivity, and even little EVs like this one have to hold round a hefty battery pack, on this case a 12kWh unit with 102.5 miles (165km) of metropolis vary. On Tuesday, Arcimoto and XponentialWorks introduced they have been working collectively on a venture that ought to make future FUVs much more environment friendly, because of light-weight suspension components created utilizing AI generative design and 3D printing.
“Our mission to rightsize the footprint of daily mobility means a continued commitment to optimizing not just the vehicle platform architecture, but all of its constituent parts as well. The speed at which the XponentialWorks team has made meaningful weight improvements to core components of the Fun Utility Vehicle is truly impressive,” mentioned Arcimoto CEO Mark Frohnmayer in a press release.
XponentialWorks used ParaMatters’ AI software program to iterate new designs for elements just like the FUV’s brake pedal, higher management arm, rear swing arm, and knuckle. As with different AI-generated auto components, the outcomes look way more natural than something you’d look forward to finding on a street car, and the load financial savings is actual–between 34 and 52 % in comparison with the conventionally designed and constructed bits fitted to the variations we have examined prior to now. It all occurred fairly quickly, in response to XponentialWorks founder Avi Reichental.
“It took us about four weeks from taking a stock car to presenting a fully functional lightweighted FUV. With our unique capabilities to combine generative, additive and simulation technologies, we expect to be in production within the next six months,” he instructed Ars. For that to occur, everybody must ensure that the AI-designed, 3D-printed elements are enough for the masses and stresses of life on the streets. “We believe that with our algorithmic finite element analysis solvers and powerful simulation technology, we can substantially compress the testing cycle and enhance the quality predictability and performance of each part,” Reichental instructed me.
Listing picture by XponentialWorks