Škoda Enyaq iV mobile laboratory

The mobile laboratory represented by the Škoda Enyaq iV combines several advanced technologies and methodologies. Its applications range from vehicle development and testing to research and development in the field of autonomous driving or digital twin. The vehicle is also used to collect long-term driving data for subsequent AI learning.

The Škoda Enyaq iV mobile laboratory is an example of a modern engineering effort that combines several advanced technologies and methodologies. Its applications range from vehicle development and testing to research and development in the field of autonomous driving.

Digital twin

Definition and meaning: a digital twin is a virtual replica of a physical object, in this case the Skoda Enyaq iV. This technology allows different scenarios to be simulated and tested without causing physical wear and tear or damage to the vehicle.
In the context of a mobile laboratory, the digital twin can be used to predict performance, analyse safety, optimise vehicle design and dynamics. It allows engineers to make changes and tests in a digital environment faster and more efficiently.

ŠKODA Enyaq iV60

RWD
132 kW
390 km access

DIGITAL TWINS BEV SKODA ENYAQ RWD 132 kW

Měřicí ústředna imc Test & Measurement BusDAQ Flex, kompletní záznam až 4 CAN sběrnic z toho až 2 FDCAN (EV, Antrieb, Komfort, FAS). Je zde možnost navýšení počtu CAN sběrnic.

Measuring system VECTOR, imc Software imc STUDIO FAMOS

EV CAN:

Electric motor torque, regenerative quantities, torque gradient

CAN Antrieb:

Longitudinal and lateral acceleration, rolling acceleration, ABS interventions, ESP, steering angle and gradient, accelerator position and gradient

Comfort CAN:

Ambient and cabin temperature, Off-air intensity, Seat and steering wheel heating, HVAC flap position

FAS CAN (fahrerasistenz):

Lane assist and front assist interventions, Distance from lines, Line crossing, Ambient light intensity

LTE modem Teltonika

transmission of recorded data at regular intervals (1x per day)

Software

The imc FAMOS software is used to process the recorded CAN data

Options to export data to any format
Signal processing using algorithms
Regression analysis
FFT
Signal filtering
And much more

Drive efficiency map

Efficiency map compiled from driving data. Common efficiency for electric motor and inverter

Motor area efficiency
Generator area efficiency

Batteries

Determining the dependence of quantities on state of charge (SoC) and battery temperature

Out-of-Cell Voltage (OCV)
internal resistance R0

Parameter Estimator

data distribution
charging and discharging
by temperature into 5 groups

Batteries

Parameter Estimator

OCV and R0 characteristics
for the entire SOC range
5 temperature ranges
small amount of data→ only 2 temperature intervals

Model in GT-SUITE

Batteries

OCV and R0 characteristics
Simplified temperature control model
battery cooling and heating

Battery protection

current and voltage limitation

Model in GT-SUITE

Vehicle

centre of gravity coordinates, aerodynamics
wheels, moments of inertia, road surface
final drive

Engine control

Brake regeneration and activation

Model in GT-SUITE - compare

MODEL CONNECTION via FMU/FMI

Powertrain model in GT-SUITE (automotive standard) - the model includes all control systems:

BMS - battery management
Regenerative braking control logic
DC/DC converter and 12 V on-board network logic
GT-SUITE and CARMAKER cosimulation via FMU (exchange point on semi-axes)

Wide database of static elements

Through the Scenario Editor it is possible to select from a database of modelling elements adapted to the geographical area
- Different types of roadways including custom definitions
- Traffic signs, bollards, bollards, traffic lights, etc.
- Roadway surroundings in the form of buildings, bridges, tunnels, advertisements, greenery, terrain, etc.
All modelling elements have a number of parameters