Team Details

As of 2022, this class has been integrated into the other two classes.

TUW Racing

University Technische Universität Wien
AT Wien TU short 122
LocationWien, Austria
Homepagehttps://www.tuwienracing.at/
Social Media
CV Team TUW Racing
EV Team TU Wien Racing
Short Linktid.fsg.one/788

Past Events

Car 441 – 2017
2017
Car #441
Info
16x
Back in October, Alumni and some of the members of the 2016 electric team decided to attempt the upgrade of EDGE8 to an autonomous vehicle. Since the team remained strong in the 2016/17 season and accumulated high interest from students, university and companies, we soon began redesigning the vehicle, and continued to maintain and test it alongside the new electric car. We welcomed the challenge to combine the design of the vehicle with new developments in control engineering and robotics.
Engineering Design Priorities:
robustness self-development lightweight design testability efficiency observability
Car Specifications
General
Frame Construction one piece CFRP Monocoque
Material sandwich structure with aluminum honeycomb and rohacell core
Overall L 2845 mm
Overall W 1395 mm
Overall H 1118 mm
Wheelbase 1575 mm
Track (Fr) 1200 mm
Track (Rr) 1160 mm
Weight with 68kg driver (Fr) 73 kg
Weight with 68kg driver (Rr) 91 kg
Suspension Double unequal length A-Arm, pull rod actuated horizontally oriented spring and damper
Tyres (Fr / Rr) 6.0/18.0-10
Wheels (Fr / Rr) 7.0x10, 25mm offset, one piece CFRP rim
Drive Type 1 spur & 1 planetary stage, at upright
Differential n/a
Cooling radiator with electric fan, electric water pump
Brake System 4-Disk system, self designed brake disks, adjustable brake balance, AP calipers F/R
Electronics self-developed LTE telemetry with custom HTTP telemetry server and client
Powertrain
Number of Motors 2
Motor Location Rear Right, Rear Left
Max Motor Power (per motor) 2x40kW kW
Motor Type TUWR-E3, self developed
Max Motor RPM (highest) 16.000 rpm
Motor Controller Infineon Hybrid Kit
Max System Voltage 265V V
Electrode Materials LiPo
Combined Accumulator Capacity 4,66 kWh kWh
Transmission Ratio (Primary) 1:11,9 : 1
Transmission Ratio (Secondary) n/a : 1
Driverless System
Processing unit(s) Nvidia Jetson TX2
Floating Point Operations Per Second of all processing units that are working for the DV system 1500 GigaFLOPS
Power consumption of all processing units that are working for the DV system 30 W
Camera(s) 1x ZED Stereo Camera
Radar sensor(s) -
Lidar sensor(s) 1x Hokuyo 30LX
Other sensors 1x Correvit
Highlights of the DV system Motion-aware perception systems for significant reduction of required processing power in the vision system; landmark-based SLAM

FS past achievements due to World Ranking Data Base

Date Event Teams Rank BP CM ED DV SP DV AC AX EN EF Pe Total Engine
2017.08
15
7.
13.
6.
8.
-
-
-
-
-
-10.00
299.19
x 1