Validation of Road-Preview-Based Predictive Gear Selection on Heavy-Duty Vehicle Transmission Control Unit 2020-01-0962
The eHorizon unit enables the possibility, to get information of the road ahead in a defined prediction horizon. This data, like road gradient, curve radius, velocity limitation and road class, can be used by the on-board transmission control unit (TCU) via Controller Area Network (CAN) bus. This obtained predictive road information combined with the actual driving conditions are used to optimize the shifting strategy by a nonlinear model predictive control (NMPC) algorithm which intends to reduce the fuel consumption. The optimization problem in the PGS strategy is solved by a nonlinear optimization based dynamic programming.
In this paper, the predictive gear selection (PGS) strategy will be compared to a conventional automatic gear shifting strategy in a simulation environment and validated on road by implementing it a heavy-duty truck with a 16-speed automated manual transmission (AMT). At last, this strategy consumes in total around 20kb RAM which can be handled by modern SOP TCU.
Zhen Zhang, Bernhard Knauder, Martin Ackerl, Johannes Pell