Thanks, we changed to that one a while ago. The submitted url was http://www.nio.io/ and the submitted title was 'NIO EP9 “Fastest Electric Car in the World”'.
One electric motor per wheel gives the possibility for some really awesome torque vectoring. I could see a machine learning model being used to figure out the torque to apply to each wheel given the feature inputs of turn angle, lateral g, suspension height, tire temp, road temp, humidity, etc.
With fewer environmenal variables this is already done, to a degree, for locomotive-wheel traction motors. For example pulsing the torque in frequency and amplitude to manage wheel-slip on wet rails.
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