Team Details

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

BCN eMotorsport DV

University Barcelona School of Industrial Engineering - ETSEIB - UPC
Escola Tècnica Superior d'Enginyeria Industrial de Barcelona local
ES Barcelona ETSEIB short 155
team logo
LocationBarcelona, Spain
Homepagehttps://bcnemotorsport.upc.edu
Social Media YouTube facebook X
CV Team ETSEIB Motorsport
EV Team BCN eMotorsport
Short Linktid.fsg.one/970

Event Profile

Past Events

Car 454 – 2021
2021
Car #454
Info
Back in 2019, under the name of DRIVERLESS UPC, the team presented our first driverless vehicle, which was capable of finishing all the dynamic events. Two years latter, progress has been made to achieve a competitive level. We are really excited to compete with the best teams here at FSG and show what we at BCN eMotorsport and our awesome, incredible, fantastic, beautiful, breathtaking and beloved XALOC are really capable of.
Engineering Design Priorities:
#FollowTheLidar #IQueVinguin #XALOC
Car Specifications
General
Frame Construction One-piece CFRP & Al Honeycomb monocoque with integrated aluminium front hoop.
Material Prepreg CFRP (twill 200 and UD 300 g/m2) and aluminium honeycomb. Al 6063 T6 FH
Overall Length (mm) 2870
Overall Width (mm) 1440
Overall Height (mm) 1150
Wheelbase (mm) 1540
Track Front (mm) 1200
Track Rear (mm) 1150
Weight Front (kg) 114
Weight Rear (kg) 133
Suspension Double unequal length A-Arm. Push rod
Tyres 18x7.5 R10, Hoosier R25B
Wheels 7x10 ET35 Aluminium Rim
Brake System 4-Disk system, 179.5mm outer diameter
Powertrain
Number of Motors 1
Motor Location Rear
Max Motor Power 100kW
Motor Type Enstroj EMRAX 228 LC
Max Motor RPM 5500
Motor Controller Unitek Bamocar D3 700-400
Max System Voltage (V) 599V
Electrode Materials LiCoO2 Cell
Accumulator Capacity 7,48kWh
Driverless System
Processing Units Nvidia Jetson Xavier and DX-1000 i7-6700TE (Skylake) 2.4GHz processor
Processing Units FLOPS 5726
Processing Units Power (W) 210
Cameras Two DFK33UX252. Global shutter, USB 3.0, 640x480 to 2048x1536 pixels
Radar Sensors n/a
LiDAR Sensors Velodyne VLP-32C
Other Sensors Two INSS+GNSS (Vectornav VN-300 and SBG Ellipse).
DV System Highlights High range perception system with a reliable color and position detection with three different Computer Vision algorithms followed by an accurate map estimation. Stable planning and global trajectory optimization to reach the highest possible speeds, which serve as inputs of a predictive controller that takes into account the vehicle dynamics.
Car 454 – 2019
2019
Car #454
Info
This year, the most beautiful and amazing car in the universe has been born. Indeed, we are talking about Xaloc, the first Driverless car created in Barcelona. This team, formed by mechanical and telecomunications engineers, has spent over 35.000 hours and consumed over 1.000 cookies to develop this self-driving car. Xaloc is the first generation of green happy cars. Although shy in the track, he is full of potential and looking forward to competing with other friends in FSG.
Engineering Design Priorities:
#FollowtheLidar #Xaloc #MostBeautifulCar
Car Specifications
General
Frame Construction One-piece CFRP & Al Honeycomb monocoque with integrated aluminium front hoop.
Material Prepreg CFRP and aluminium honeycomb. Al 6063 T6 Front hoop.
Overall Length (mm) 2870
Overall Width (mm) 1440
Overall Height (mm) 1150
Wheelbase (mm) 1540
Track Front (mm) 1200
Track Rear (mm) 1150
Weight Front (kg) 101
Weight Rear (kg) 129
Suspension Double unequal length A-Arm. Push rod
Tyres Hoosier 18x7.5 R10
Wheels 7x10 ET35 Aluminium rim
Cooling Twin side pod mounted radiators for motor and inverter. Fans for the accumulator container
Electronics Two self-developed batteries with self-developed BMS. The total configuration is 7s6p.
Powertrain
Number of Motors 1
Motor Location Rear
Max Motor Power 100kW
Motor Type EMRAX 228 LC
Max Motor RPM 5500
Motor Controller Unitek BAMOCAR D3 700/400
Max System Voltage (V) 599
Electrode Materials LiCoO2
Accumulator Capacity 7.1kWh
Driverless System
Processing Units Nvidia Jetson TX2 and DX-1000 i7-6700TE (Skylake) 2.4GHz processor
Processing Units FLOPS 1630
Processing Units Power (W) 174
Cameras Two color DFK33ux252
Radar Sensors n/a
LiDAR Sensors Velodyne VLP 32
Other Sensors IMU+GPS - Vectornav VN-300
DV System Highlights Sensor Fusion cone detection (Neural Network on camera image + LiDAR for
distance determination), Graph SLAM for estimation and MPC control on vehicle
actuation.

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
2025.08
42
11.
-
-
14.
13.
11.
8.
10.
-
0.00
228.83
2025.08
12
3.
6.
8.
2.
-
3.
2.
-
-
0.00
487.40
2024.08
27
10.
-
-
10.
-
11.
-
5.
-
0.00
155.69
2024.08
5
1.
4.
4.
2.
2.
3.
1.
1.
-
0.00
858.10
2023.08
30
17.
-
-
9.
-
-
-
-
-
0.00
100.00
2023.08
9
2.
5.
4.
3.
1.
-
-
2.
-
0.00
622.00
2022.09
10
7.
6.
4.
4.
-
-
-
-
-
0.00
383.60
2022.08
19
8.
-
-
4.
-
-
-
-
-
0.00
135.00
2022.07
5
4.
4.
1.
2.
-
-
-
-
-
-20.00
301.00
2021.08
17
7.
10.
4.
4.
-
-
-
-
-
0.00
321.45
2021.08
7
5.
4.
2.
3.
-
-
-
-
-
-100.00
319.50
2021.08
5
2.
3.
1.
2.
-
-
-
-
-
0.00
384.00
2019.08
8
4.
3.
2.
6.
-
2.
2.
2.
-
0.00
344.00
2019.08
20
14.
13.
14.
14.
-
-
-
-
-
0.00
261.85
x 14