PWd3.19

Acceleration 0-100km/h: 2,0s
Power Output 4x28kW
Weight 226kg
Monocoque CFRP one-piece
Aerodynamics Side and rear wing, skid plate and splitter
Motor 4 wheel hub motors
Top performance per Motor: 28 kW
Gearbox 1 ½ stage planetary gear
Battery container Central battery container with 7.5 kWh
Cells Samsung INR 18650 25 R
Maximum voltage 580V
Control unit ETAS
Driving dynamics control systems Torque vectoring, recuperation, traction control, power limitation
Telemetry Live Telemetry via 2.4 GHz WLAN
Dashboard Self-developed dashboard
Wheelbase 1540mm
Front track width 1150mm
Rear track width 1128mm
Tires 7,5″x10″ Hoosier Slicks
Rims 10″ CFRP rims with aluminum star
A-Arm Double A-Arm
Dampers Pushrod actuated damper
Cameras 2x Intel D435, 1x Bosch SVC2
Sensors Kistler Correvit SFII, Bosch MM5.10-R acceleration sensor, VectorNav VN-300 INS
Processing Units 2x NVIDIA Jetson TX2, ETAS ES910
Environment recognition Object recognition via a neural network
Mapping / Localization In-house developed C ++ libraries with a focus on storage space optimization
Test environment Hardware in the loop test bench
Toolchain C++, Python, Matlab, IPG Carmaker
Trajectory planning Model-based off-policy reinforcement learning to optimize lap times
Training automation In-house developed software for data set management, automatic hyperparameter optimization and management of machines in the training cluster