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Driving the development of powertrains of all types

The powertrain is the core of every vehicle, whether it is a passenger car, truck, commercial vehicle, or special vehicle. Consequently, a great deal of effort is invested in its development, vastly increasing the range of functions and the number of possible powertrain configurations. For vehicle development to remain efficient, virtual test driving is recommended because it dramatically reduces the need for real-world test driving, saving time and money despite growing testing requirements.

  • Virtual test driving supports the prediction of the overall vehicle performance
  • Integrate the powertrain into a virtual vehicle for extensive testing without physical resources
  • Model different test scenarios in a simulated traffic environment with a virtual driver for realistic, flexible, and reproducible tests
  • Reduce costs and save time by virtually performing complex test drives under uniform conditions
  • The portion of software is increasing in modern vehicles, particularly in electric vehicles
  • Calibrate and test complex software used in a wide variety of vehicle architectures early on by integrating it into CarMaker, TruckMaker, or MotorcycleMaker
  • Embed control devices and virtual ECUs in a virtual full vehicle to test them in realistic, simulated environments and optimize them as needed
  • Perform system integration tests at an early stage through front-loading to save effort and resources
  • Virtual full vehicle models consider the vehicle, driver, traffic environment as well as other road users
  • Realistic simulation of complex driving scenarios under realistic conditions
  • Use cases range from software-in-the-loop tests to test bench applications
  • By combining real hardware and initial prototypes with a virtual environment, components, such as different electric drive systems, can be calibrated, tested and validated at an early development stage and in the full vehicle context
  • Combining real vehicle tests and virtual test driving unites the strengths of both approaches for optimal validation
  • Consistent use of simulation throughout the entire development process – guaranteed comparability of models, tests and evaluation criteria from model-in-the-loop (MIL) to vehicle-in-the-loop (VIL)
  • Complex decisions can be made thanks to an agile, simulation-driven test environment that enables the right tests at the right time

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