Within the automotive sector, the hybridization of the powertrain is well investigated and first announcements about mass production start dates have been made. Studies have shown that improvements regarding fuel economy and emission are possible. This potential and additional positive effects regarding driving performance should also be gained for the power-sport sector, even though very few investigations have been performed for this vehicle class. Though the requirements for a power-sport drivetrain differ from that of the automobile sector due to the high demand on the transient behavior, intense investigations have been started.
The use of a complete vehicle simulation during the development of a hybrid vehicle is advantageous in the early phase and in the pre series calibration phase. The foreground topic for the simulation of a conventional powertrain is the power and torque distribution. For hybrid architecture it is additionally necessary to focus on the thermodynamic energy flows between the single components [1].
This publication covers the development of a complete vehicle simulation for a power sport vehicle based on a longitudinal dynamics simulation. The research was performed by a research consortium under the patronage of the ECO-PowerDrive project, which is funded by the Austrian government within the COMET excellence initiative. Focus of the enhancements were based on the existing models, the modular setup, a methodology for data exchange between the partners as well as the integration of a basic thermo-management model [2]. Within this paper, the description of a power-sport vehicle with respect to its thermal behavior and the thermal analysis and assessment is treated exemplarily.
During the development of a hybrid vehicle it is important that all energy flows are known in quality and quantity in order to estimate the potential of the single components as there are internal combustion engine, power electronics, battery and e-motor. As a consequence of these estimations an effective operating strategy can be found.