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    Modeling of electrical vehicle for state of charge evaluation in smart mobility scenario

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    The impact of electrical vehicles spread on electricity networks and on mobility from a general point of view, is one of the most topical questions during these years. The key point is to predict autonomies in order to understand what will be the new requirements. This means to tie driver's driving habits and styles, with the actual driving cycles, in order to assess the behavior of the battery and its autonomy. The starting point is to have a vehicle model that can provide an accurate battery charge status, coupled with a realistic simulation of the path. The model presented in this work, starts from well known model in literature and focuses on modeling the variable electric powertrain transfer function, i.e. the efficiency map. To do this an approach based on yield maps is proposed and integrated with the driving cycles synthesized

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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