Powertrain Simulation

Measurement in the Road Test

With our winADAM measurement system, we determine collectives in driving tests by taking measurements on the vehicle. With our MB CLA 180 d Shooting Brake measurement vehicle, we perform driving tests on behalf of our customers and determine the track data (topography, curvature), traffic parameters (traffic environment, traffic density, type of driving (unimpeded, following, convoy)), driving parameters (speed, position, distance, accelerations, etc.) and drive parameters ( rpm, torque, gear, injection quantity, etc.). If required, we can procure any vehicle and equip it for driving tests. This also applies to commercial vehicles or construction machinery.

Vehicle Simulation

Collectives can also be determined by simulating the powertrain of any vehicle. With our modular powertrain simulation tool winEVA, any powertrain can be set up. The spectrum ranges from e-bikes to cars to rail vehicles and from internal combustion engines to electric engines. With our flexible driver model in winEVA, any type of driver can be parameterised.

Any synthetic or measured tracks can be used as tracks.

Assessment of Driving Performance, Fuel Consumption, Emissions

Project examples:

  • Prediction of fuel consumption on a test track for different passenger car powertrain concepts (3-litre car) and investigation of driver influence
  • Savings potential through targeted management of auxiliary consumers
  • Savings potential through engine shutdown in passenger cars
  • Savings potential through brake energy storage
  • Savings potential through tyres with reduced rolling resistance coefficient
  • Simulation of powertrain management to optimise brake energy storage
  • Comparison of different transmission concepts in terms of fuel consumption
  • Effect of transmission efficiency on fuel consumption
  • Comparison of electric trucks with rail vehicles for use on the NRLA (New Railway Link through the Alps)
  • Fatigue life prediction of a retarder shaft based on measured driving cycles
  • Influence of manual gear shifting on transmission life
  • Investigation of novel shift strategies for automatic transmissions using SIL (Software-in-the-Loop Simulation)
  • Fatigue Life prediction of transmission components under realistic load collectives
  • Investigation of continuously variable transmissions based on power split hydrostats
  • Driving simulation of CVT concepts for the development of a control strategy
  • Driving simulation of CVT concepts for the development of a control strategy
  • Temperature development in electric engines under realistic driving cycles in commercial vehicles
  • Influence of the traffic density to the speed cycles of commercial vehicles and its impact on fuel consumption