Team Details

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

FRT- Driverless

University Università degli Studi di Firenze
IT Firenze U short 153
team logo
LocationFirenze, Italy
Homepagehttps://www.firenzerace.it/it
Social Media YouTube facebook
CV Team Firenze Race Team
EV Team Firenze Race Team
Short Linktid.fsg.one/809

Event Profile

Past Events

Car 542 – 2017
2017
Car #542
Info
Firenze Race Team was the first italian team to partecipate in a Formula Student competition in 2002. The team regularly participates in european FSAE competitions in combustion class, in 2015 was the 3rd italian team and il 2016 was the 1st italian team. In 2017 the Florence Univerity's team decided to partecipate at the driverless competition. the most interesting features of FRT car are our semiactive differential and our kalman filter and predictive control for the autonomus system.
Engineering Design Priorities:
Sensorfusion Kalman Filter Semiactive Diffential Auto Gear Lean Design Turbo e-wastegate
Car Specifications
General
Frame Construction Steel tubolar frame
Material AISI 4130/ 25CrMo4 Steel
Overall Length (mm) 2720
Overall Width (mm) 1386
Overall Height (mm) 1230
Wheelbase (mm) 1600
Track Front (mm) 1200
Track Rear (mm) 1100
Weight Front (kg) 105
Weight Rear (kg) 112
Suspension Unequal lenght A-arm. Push rod actuated Cane Creek double Barrel spring/damper units
Tyres 20.5x6 Hoosier R13
Wheels 6x13, 23.8mm offset,Al Rim
Differential Self made electro hydraulic semi-active differential, bias adjustable 0-100%
Cooling Left mounted single core water to air radiator, 300 cfm electric fan
Brake System Floating, 200x3mm, stainless steel, 6 float buttons
Electronics Traction control, Launch control, auto clutch, auto shift, semi-active diff
Powertrain
Engine Beta 520RR
Bore (mm) 102
Stroke (mm) 63.4
Cylinders 1
Displacement (ccm) 520
Compression Ratio 9.02:1
Fuel 98 octane unleaded gasoline
Max Power (kW) 8500
Max Torque (Nm) 7500
Driverless System
Processing Units MicroAtoboxII, jetson, custom ECUs
Processing Units FLOPS 156
Processing Units Power (W) 200
Cameras 1xCM3-U3-13Y3C
DV System Highlights Kalman filter, predictive control

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
2025.09
8
4.
5.
4.
6.
-
-
3.
2.
-
0.00
412.29
2024.09
9
4.
2.
6.
6.
-
-
-
-
-
0.00
288.66
2023.07
8
6.
7.
3.
7.
-
-
-
-
-
0.00
266.14
2017.08
15
13.
12.
13.
13.
-
-
-
-
-
-56.00
147.82
x 4