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One scope of work for energy management of electrified vehicles is the powertrain dimensioning in early development phases. In current development processes only dynamic short term or stationary long term maneuvers for powertrain dimensioning are considered. Therefore, requirements can be already defined for peak and continuous operation for electric motors and the traction battery, but not for the transition in-between. Based on analysis of benchmark vehicles and the driving of more realistic load cases, it is noticeable that also dynamic long term maneuvers become interesting for the end customer. The derating behavior of the electric powertrain components must be considered, especially for such maneuvers. This means in detail the transition between peak and continuous operation. Therefore, this aspect requires a simulation model considering dynamic derating effects for early development phases.

The continuous increasingly stringent regulations for CO2 fleet targets request the introduction of zero-emission solutions in the near future. Moreover, additional customer benefits have to be generated in order to increase customer acceptance of zero-emission technologies. Actually high costs, reduced driving ranges and lack of infrastructures are some aggregative facts for end-customer acceptance thus also for a broad market launch. Plug-in hybrids as intermediate step towards zero-emission vehicles are meanwhile in series production with partly “zero-emission” operation mode and are well accepted by customers. The project partners HyCentA Research GmbH, Magna Steyr Engineering AG & Co KG, Proton Motor Fuel Cell GmbH and the Vienna University of Technology, Institute for Powertrains and Automotive Technology, have developed a hydrogen-powered zero-emission vehicle within a national funded research project.

A worldwide decrease of legal limits for CO2 emissions and fuel economy led to stronger efforts for achieving the required reductions. The task is to evaluate technologies for CO2 reduction and to define a combination of such measures to ensure the targets. The challenge therefor is to find the optimal combination with respect to minimal costs. Individual vehicles as well as the whole fleet have to be considered in the cost analysis - which raises the complexity. Hereby, the focus of this work is the consideration and improvement of a new model series against the background of a fleet and the selection of measures. The ratio between the costs and the effect of the measures can be different for the each vehicle configuration. Also, the determination of targets depends whether a fleet or an individual vehicle is selected and has impact on the selection and optimization process of those measures.