Realistic load cases that are based on measured data help optimize fuel consumption and driveline dynamics with respect to the control algorithms by using variation calculations with variable transmission parameters. This works also the other way around when control algorithms are validated and optimized quickly and free of risk as part of rapid prototyping.
Keywords: Automatic Transmission; Advanced Driver Assistance Systems; CarMaker; SimulationX; Modelica; FMI
Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015
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