1,720,957 research outputs found
Cluster-based route planning for electric vehicles travel time optimization
Private mobility electrification is slowed down by technical limitations, such as the low autonomy
of electric vehicles (EVs) compared to internal combustion engine vehicles (ICEVs). As a consequence,
accurate planning of the route is needed before a travel with an EV begins. Routing algorithms
are of crucial importance to identify the route which allows to minimize total travel time,
reducing the drawbacks of battery’s limited energy density. The complexity of the problem and
the size of road networks considered for this task imply computational times which are not in line
with users’ needs. The method proposed in this article employs clustering and pruning techniques
to speed up planning by downsizing the network analyzed during route planning. By reducing
the computational cost, it is possible to apply Dijkstra algorithm, which provides an exact minimization
of total travel time
Electric Bus Fleet Management Considering Vehicle-to-Grid Interaction and Solar Energy Production
Environment and health concerns are driving an evergrowing number of large cities to introduce restriction to the circulation of vehicles powered by fossil fuels. Such ordinances inevitably involve public transportation as well, driving an increase in the number of electric bus fleets and their sizes. In planning operation of mass transit, minimization of downtime is a key objective. The large batteries required for mass transportation vehicles and the short time allowed for recharging imply a large power request, which significantly affects the surrounding distribution network. Unidirectional vehicle-to-grid integration of electric bus fleets is helped by the precise time scheduling, giving an advantage over private vehicles integration. The high power required for their recharging operation makes them a suitable storage option to absorb peak solar production during afternoon hours, to reduce the energy wasted because of photovoltaic curtailment. The integration of bus recharging planning with time-dependant photovoltaic production represents an important element for the optimization of electricity production from renewable sources. This article presents a novel methodology which integrates vehicle simulation in scheduling algorithms to optimally integrate bus recharging with electricity generation through non-programmable renewable sources. This approach allows to reduce curtailment by 27.8%, cutting the share of fossil-generated electricity by 27.5%
Off-Board Testing Device for Battery Diagnostics and Market Analysis for Battery Reuse
The growth in electric vehicles market share is one of the main actions taken to fight greenhouse gases emissions, but it also brings new environmental challenges to the table. Because of the high costs connected to the extractions of Lithium and other battery raw materials, the environmental risks posed by battery disposal and the intermittent nature of electricity production from renewable sources, batteries which are not suitable anymore for traction use can turn from waste to a resource, through their recycling for stationary applications. This paper presents a stand-alone device for the diagnostics of battery modules with the following applications: a) it can be used by EV owners for predictive maintenance; b) it enables end-of-line quality control in manufacturing plants after the production of battery cells; c) it can be used to test batteries exhausted for traction use, matching batteries with similar quality for stationary storage units based on batteries in second life. The application of the proposed device can have noticeable impacts on battery manufacturing procedures, accelerating the transition towards EV-based mobility. The diagnostics is performed through Artificial Intelligence trained with experimental characterization of battery cells. This paper in particular presents the hardware selected for a 48 V 25 Ah battery, but the general architecture of the device and the methodology of the training procedure can be extended to any battery size
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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