MotorcycleMaker
The simulation solution for two-wheelers
MotorcycleMaker is our simulation solution for virtual test driving two-wheelers. By taking vehicle dynamics, powertrain, and driver assistance functions into account, MotorcycleMaker can be used to realistically develop, test and optimize virtual prototypes, whether for motorcycles, scooters or e-bikes. The precise modeling of physical properties, environmental conditions and driver behavior allows entire test series to be executed efficiently in a virtual environment – from the initial concept stage through to final validation.
Who benefits from MotorcycleMaker?
- OEMs of two-wheelers such as motorcycles, scooters and e-bikes
- Suppliers of two-wheeler components for suspension, drivetrains or driver assistance systems
- Research groups and universities studying two-wheelers
What is MotorcycleMaker?
- MotorcycleMaker is a simulation solution that can be used in the development process of motorcycles, scooters, and e-bikes
- MotorcycleMaker simulates the vehicle, the environment, the traffic, and the driver
- Realistic modeling of typical properties of two-wheelers, such as those related to drivetrain, brakes, tires, suspension, driver, and vehicle handling and performance
- MotorcycleMaker uses virtual test driving for continuous development, refinement, testing, and validation of components or entire systems in realistic scenarios
- MotorcycleMaker can be used across all development stages (MIL, SIL, HIL, and VIL)
How MotorcycleMaker
can support you?
- MotorcycleMaker simulates digital twins of the vehicle, environment, and driver
- Reliable development support from concept phase through to final validation
- Offers various two-wheel-specific models, as well as numerous interfaces for implementing custom models and logic
- Various options for data analysis and assessment
Use Cases
Using MotorcycleMaker to control electric drives under variable friction coefficients
Electric motorcycles have a complex drive architecture. This creates development and coordination challenges, especially when it comes to brake energy recovery under varying friction coefficients. A co-simulation using MotorcycleMaker and Typhoon HIL enables realistic tests in virtual vehicle testing. The results show that the rapid torque control of electric drives can serve as an effective anti-lock braking function.
Validation of camera-based driver assistance systems for motorcycles using hardware-in-the-loop simulation
Most modern motorcycles still do not have a camera- and radar-based driver assistance system – but demand is growing. Rather than developing new sensors, sensors already being used in the automotive sector are being adapted. In a feasibility study, a standard camera was tested on a hardware-in-the-loop test bench using MotorcycleMaker, allowing the early testing of the inclined position and increased dynamics of motorcycles, as well as the efficient validation of the functions.
