Transmission Algorithm Development using System Simulation (Virtual Vehicle)

Xuefeng Tao; Michael Kropinski; Colin Hultengren; Kenneth Lang; Manmeet Mavi

doi:10.4271/2011-01-1233

Due to the multitude of external design constraints, such as increasing fuel economy standards, and the increasing number of global vehicle programs, developers of automotive transmission controls have had to cope with increasing levels of system complexity while at the same time being forced by the marketplace to improve system quality, reduce development costs, and improve time to market.

General Motors Powertrain (GMPT) chose to meet these challenges through General Motors Company's Road-to-Lab-to-Math (RLM) strategy, particularly the Math-based method of a virtual vehicle simulation environment called System Simulation. The use of System Simulation to develop transmission control algorithms has enabled GMPT to improve product quality and reduce development times and costs associated with the dependence on physical prototypes. Additionally, System Simulation has facilitated the reuse of GMPT controls development assets, improving overall controls development efficiency.

The Mathworks Simulink® tool forms the basis for the GMPT Transmission System Simulation environment, or virtual vehicle. This paper describes this virtual vehicle environment, its key components, and its application to transmission algorithm development.

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Transmission Algorithm Development using System Simulation (Virtual Vehicle) 2011-01-1233

SAE MOBILUS