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Hybrid vehicles are characterized by a combination of mechanical, electrical and control components. The complexity of this mechatronic system requires new methods and tools for a successful development of new hybrid vehicle concepts. It is now possible to accomplish certain tasks earlier in the development projects using virtual prototypes of the powertrain components and the vehicle. The process called “frontloading” integrates simulation, optimization and validation in earlier development phases of a vehicle and prevents from having cost intense problems in later development phases. Besides the reduction of emissions and fuel consumption also the subjective impression of the vehicle driveability are main goals for the optimization of hybrid powertrains.

Due to its high number of free parameters, the new generation of gasoline engines with direct injection require an efficient calibration process to handle the system complexity and to avoid a dramatic increase in calibration costs. This paper presents a concept of specific toolboxes within a standardized and automated calibration environment, supporting the complexity of GDI engines and establishing standard procedures for distributed development. The basic idea is the combination of a new and more efficient online DoE approach with the automatic and adaptive identification of the region of interest in the high dimensional parameter space. This guarantees efficient experimental designs even for highly non-linear systems with often irregularly shaped valid regions. As the main advantage for the calibration engineer, the new approach requires almost no pre-investigations and no specific statistical knowledge.