The objective of this paper is to compare the most common HEV power train structures. As a first step, forward and backward models of these vehicle concepts are implemented using Modelica/Dymola in order to evaluate and compare the energy consumption. Taking into account fuel/electrical consumption and the losses in the powertrain components, a comparison of two different alternatives of Hybrid Electric Vehicle models (parallel structure and Range Extender) are presented in this publication. To simulate these models using different driving cycles, a rule-based operating strategy is implemented. As a second step, a Dynamic Programming (DP) based algorithm is applied to these models. This algorithm is used to determine the optimal fuel consumption for given driving cycles. A comparison of the DP results and rule-based results is carried out to evaluate the potential improvement that is possible to achieve optimizing the energy management strategy and the size of the powertrain components. Simulations show that the parallel HEV topology is more fuel efficient than a Range Extender. These results represent the maximum fuel economy that can be achieved by each configuration in the simulated driving cycles. Thanks to this method it is possible to know the potential improvement for each HEV configuration, basically optimizing the operating strategy and the sizing of the powertrain components. In this paper it has been described a methodological approach to investigate the maximum fuel economy that could be achieved by a hybrid vehicle with a parallel and Range Extender configurations for a known drive cycle. Models are used for the computation of fuel consumptions. The Dynamic Programming optimization process was used to find out the global optimum fuel consumption over a known driving cycle.


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    Title :

    Comparison of different hybrid electric vehicles concepts in terms of consumption and efficiency


    Contributors:
    Torres, O. (author) / Bader, B. (author) / Romeral, J.L. (author) / Lux, G. (author) / Ortega, J.A. (author)

    Published in:

    Publication date :

    2012


    Size :

    8 Seiten, 11 Bilder, 2 Tabellen, 9 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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