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PHEVs have to fulfill further requirements to conform a modern car. The requirements of different categories contain interdependencies. These interdependencies contain e.g. technical or cost categories. Here, air conditioning or driving performance are two examples. Driving performance has an important role to characterize a vehicle. Therefore, it is important to focus on and evaluate it. The evaluation of driving performance strongly correlates with time-variance of driving performance. Time variance of driving performance is a known attribute also for conventional power trains. Therefore a standard has been defined to in the DIN 70020-C. With electrified power trains new aspects can occur. One aspect here is the State of Charge (SoC), which influences the power availability of an electric system. Focus of this paper is the time variance of driving performance of Plug-In Hybrid power trains. The shown simulation presented the reactions of an electric system in context with a driving maneuver developed with help of customer data records. It is possible to handle time variance through appropriate measures. But therefore, it is important to define requirements concerning driving performance and time variance. These requirements can be deviated through the competition, the positioning of a car or through generated use-cases of recorded data. To reduce or avoid time variance there are several chances: In this case it would be possible to decrease the electric power at low state of charge to offer the user a time invariant behavior. But if the user doesn't demand for repeated driving performance he will be constraint in the first acceleration. One further way would be a boost rate to avoid the energy variance. This however can constrain the usable SoC-range for electric driving. So here it is important to prioritize requirements concerning the positioning of a car. Time-variance of driving performance is one aspect in the energetic control strategy of Plug-In Hybrids. Additional there are further areas like requirements for electric driving or load leveling which need to be investigated. Focusing on the system design, requirements concerning the system scaling can be a central focus. Here it is also valuable to consider the use of customer data records for the system scaling.