Diverse approaches to reduce fuel consumption with a simultaneous increase in performance of mobile machines are available on the market or are currently under discussion. Most developments are currently focusing on the optimal operation of the machine based on the efficiencies of individual components in the drive train. This energy efficient operation can refer both to conventional drive trains as well as on alternative powertrain layouts for example with hybrid structures. In addition to adapting the hardware in the drive train the operating strategy which controls the interaction of the hardware components, is an essential factor for the optimization objectives to be achieved. State of the art rule-based- and online-optimal-methods, which respond only to the actual condition and therefore do not make optimal use of the energy recuperation potentials and are vulnerable with regards to disturbances (operator, environment, etc.). In this paper, the concept and the development of methodology for alternative operating strategy is presented, which does not have the weaknesses of the aforementioned approaches due to its lookahead function. Starting from the presentation of the simulation environment and the machine model used, the methods for the state prediction and the deterministic dynamic programming will be described. On the basis of simulation results, the potential of this approach is evaluated and finally the future development priorities will be discussed.
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