Optimization of both, driveability and energy-management, is a sophisticated task. Depending on the vehicle topology, especially in hybrid-electric vehicles, the interaction of particular components, such as the internal combustion engine, electric drives, clutches and auxiliaries could be complex. A further aspect of electric and hybrid-electric vehicles is optimization of energy-management in standard cycles (e.g., NEDC, WLTP and FTP) for emission homologation, and also real-world operation. Optimization of driveability could lead to conflicts with an optimized vehicle energy-management. Especially a posterior calibration might cause deterioration of energy-management or driveability. Therefore it’s necessary to consider aspects of driveability during the development of vehicle energy-management in the concept phase. Aiming to improve the development methodology, the maturity of simulation results in feasibility and concept phases is considered. A simulation approach is presented which enables objective optimization of driveability. Test persons are used to evaluate the sensibility of different driver types on driveability relevant criteria. Based on those tests with different drivers, which differ in age, experience and gender, maneuvers and objective criteria have been derived to reflect customer requirements. Based on those maneuvers and driveability relevant criteria, an objective driveability assessment approach was evaluated to define the necessary modeling depth of each simulation model. The simulation models, which are coupled using co-simulation are incorporate a multi-body-simulation, software-functions, thermal and energy-management computation. Different modeling approaches are evaluated and compared. The simulation methodology enables an objective optimization of driveability with respect to energy-management and ensures a virtual representation of a subjective quality of the riding pleasure using objective measures.