PREDICTIVE CONTROL OF DRIVETRAINS
Michael Back* Matthias Simons* Frank Kirschaum* Volker Krebs**
* DAimler CHrysler, Research and Technology, REM/EP
** Universit¨ at Karlsruhe, Institutuf¨ Regelungs- und Steuerungssysteme
Telematics allow a prediction of the future driving conditions of a car along some time horizon. This prediction offers a knowledge of the torque request caused by the route ahead and can be used for implementing sophisticated operating strategies for Hybrid Electric Vehicles (HEVs). The intention of the present paper is to describe a method which minimizes the fuel consumption of the system beyond the prediction horizon. Therefore the strategy determines the best operating conditions of the combustion engine and the electric motor with respect to the predicted torque request and the SOC of the battery.
Keywords: Dynamic programming, Hybrid vehicles, Optimal control, Predictive control, T elematics
Session slot T-We-A05: Optimization and Control of Hybrid Powertrains/Area code 8b : Automotive Control

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