3,104 research outputs found

    Data driven techniques for on-board performance estimation and prediction in vehicular applications.

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    Data-Driven Model for Real-Time Estimation of NOx in a Heavy-Duty Diesel Engine

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    The automotive sector is greatly contributing to pollutant emissions and recent regulations introduced the need for a major control of, and reduction of, internal combustion engine emissions. Artificial intelligence (AI) algorithms have proven to hold the potential to be the thrust in the state-of-the-art for engine-out emission prediction, thus enabling tailored calibration modes and control solutions. More specifically, the scientific literature has recently witnessed strong efforts in AI applications for the development of nitrogen oxides (NOx) virtual sensors. These latter replace physical sensors and exploit AI algorithms to estimate NOx concentrations in real-time. Still, the calibration of the algorithms, together with the appropriate choice of the specific metric, strongly affects the prediction capability. In the present paper, a machine learning-based virtual sensor for NOx monitoring in diesel engines was developed, based on the Extreme Gradient Boosting (XGBoost) machine learning algorithm. The latter is commonly used in the literature to deploy virtual sensors due to its high performance, flexibility and robustness. An experimental campaign was carried out to collect data from the engine test bench, as well as from the engine electronic control unit (ECU), for the development and calibration of the virtual sensor at steady-state conditions. The virtual sensor has, since then, been tested throughout on an on-road driving mission to assess its prediction performance in dynamic conditions. In stationary conditions, its prediction accuracy was around 98%, whereas it was 85% in transient conditions. The present study shows that AI-based virtual sensors have the potential to significantly improve the accuracy and reliability of NOx monitoring in diesel engines, and can, therefore, play a key role in reducing NOx emissions and improving air quality

    A imagem de Alessandro Baricco no Brasil

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    Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão, Programa de Pós-Graduação em Estudos da Tradução, Florianópolis, 2013.Com a intenção de delinear o modo pelo qual o escritor italiano Alessandro Baricco se inseriu no sistema literário brasileiro e os caminhos percorridos pelos seus livros traduzidos, esta dissertação dá voz às experiências tradutórias de seus tradutores. A inserção de Bariccono Brasil tem seu início em 1997, através de uma proposição da Profa. Dra. Roberta Barni à editora Iluminuras da tradução de Oceano Mare. A partir daí, outras sete obras foram publicadas no Brasil, sendo três delas traduzidas por Roberta Barni e as outras quatro por quatro tradutores diferentes. De um lado, considera-se o tradutor como figura principal namediação entre culturas, e, de outro, se analisa a realidade desta figuradentro do sistema literário, sua invisibilidade, seus limites e o exercíciode sua profissão. A pesquisa conta, ainda, com críticas e resenhas referentes ao autor italiano publicadas em jornais consagrados no Brasil, considerando estas como parte constituinte da imagem de Baricco refletida em território nacional. Abstract : Intending to delineate the way the Italian writer Alessandro Baricco has been inserted in the Brazilian literary system and the paths his translated books have followed, this thesis gives voice to the translating experiences of his translators. Baricco's insertion in Brazil began in 1997, through a personal project of Dr. Roberta Barni, with her translation of Oceano Mare. Since then, seven other of his works have been published in Brazil, three of which were translated by Roberta Barni and the other four by four different translators. On the one hand,the translator is considered as the main figure in mediation betweencultures and, on the other, this figure's reality is analyzed within theliterary system: its invisibility, its limits and its professional practice. Criticisms and reviews of this Italian author published in well established Brazilian newspapers are also considered, with the understanding that they are part of Baricco's image reflected here

    Reducing the computational cost for artificial intelligence-based battery state-of-health estimation in charging events

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    Powertrain electrification is bound to pave the way for the decarbonization process and pollutant emission reduction of the automotive sector, and strong attention should hence be devoted to the electrical energy storage system. Within such a framework, the lithium-ion battery plays a key role in the energy scenario, and the reduction of lifetime due to the cell degradation during its usage is bound to be a topical challenge. The aim of this work is to estimate the state of health (SOH) of lithium-ion battery cells with satisfactory accuracy and low computational cost. This would allow the battery management system (BMS) to guarantee optimal operation and extended cell lifetime. Artificial intelligence (AI) algorithms proved to be a promising data-driven modelling technique for the cell SOH prediction due to their great suitability and low computational demand. An accurate on-board SOH estimation is achieved through the identification of an optimal SOC window within the cell charging process. Several Bi-LSTM networks have been trained through a random-search algorithm exploiting constant current constant voltage (CCCV) test protocol data. Different analyses have been performed and evaluated as a trade-off between prediction performance (in terms of RMSE and customized accuracy) and computational burden (in terms of memory usage and elapsing time). Results reveal that the battery state of health can be predicted by a single-layer Bi-LSTM network with an error of 0.4% while just monitoring 40% of the entire charging process related to 60–100% SOC window, corresponding to the constant-voltage (CV) phase. Finally, results show that the amount of memory used for data logging and processing time has been cut by a factor of approximately 2.3

    La maturità di Alessandro Fei del Barbiere, in bilico tra Maniera e Riforma

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    This article studies the mature career of the Florentine painter Alessandro Fei del Barbiere (1537-1592), beginning with the rediscovery of the 'Ascension' altarpiece formerly in the Albizi Chapel in the destroyed church of San Pier Maggiore, Florence. Studying this painting and others recorded in 1584 by the biographer Raffaello Borghini, such as the two altarpieces for Santa Maria delle Grazie and the Madonna dell'Umiltà in Pistoia, the author reconstructs a body of works showing how in the 1580s Fei gradually went beyond the archaic style of his apprenticeship - he had been trained by Ridolfo del Ghirlandaio and Pierfrancesco Foschi, but was also marked by the Maniera of Vasari - evolving towards naturalism in both mimesis and pictorial handling. In Florence, his development partly parallels that of Santi di Tito and his circle, but Fei was also influenced by a probable sojourn during the early part of that decade in Rome, where he could have been inspired by Girolamo Muziano and the painters working for Pope Gregory XIII. Among other proposals, the author suggests that the artist was responsible for decorating the chancel of Fiesole Cathedral (c. 1584-1589), which consisted of an altarpiece, only rarely discussed by scholars, and a cycle of frescoes hitherto attributed to Nicodemo Ferrucci

    Tra socialdemocrazie e Perestrojka. Le relazioni internazionali del Pci attraverso le carte di Alessandro Natta

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    This essay reconstructs the foreign policy of the Italian Communist Party during the four years of Alessandro Natta’s secretariat (1984-1988) through largely original archival documentation, from the Alessandro Natta Fonds of the Historical Archive of the Chamber of Deputies. Natta’s papers are also cross-referenced with those kept in the PCI Archive at the Gramsci Foundation. The author analyses the relationship that the PCI establishes with Gorbachev’s Perestroika, Deng’s China, and European social democracies during the last years of the Cold War

    Modeling and On-Road Testing of an Electric Two-Wheeler towards Range Prediction and BMS Integration

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    The automotive sector is currently shifting its focus from traditional fossil fuels to electrification. The deployment of a Battery Management System (BMS) unit is the key point to oversee the battery state of the electric vehicle (EV) to ensure safety and performances. The development and assessment of electric vehicle models in turn lays the groundwork of the BMS design as it provides a quick and cheap solution to test battery optimal control logics in a Software-in-the-Loop environment. Despite the various contribution to the literature in battery and vehicle modeling, electric scooters are mostly disregarded together with a reliable estimation of their performance and electric range. The present paper hence aims at filling the gap of knowledge through the development of a numerical model for considering a two-wheeler. The latter model relies on the conservation energy based-longitudinal dynamic approach and is coupled to a Li-Ion Battery second-order RC equivalent circuit model for the electric range prediction. More specifically, the presented work assesses the performance and electric range of a two-wheeler pure electric scooter in a real-world driving cycle. The e-powertrain system embeds an Electrical Energy Storage System (EESS) Li-Ion Battery pack. On-road tests were initially conducted to retrieve the main model parameters and to perform its validation. A global battery-to-wheels efficiency was also calibrated to account for the percentual amount of available net power for the vehicle onset. The model proved to properly match the experimental data in terms of total distance traveled over a validation driving mission

    Comparing Parallel Hybrid Electric Vehicle Powertrains for Real-world Driving

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    Parallel configurations are listed among the most promising hybrid electric vehicle (HEV) architectures. However, their potential impact both on the reduction of CO 2 and the total vehicle cost still requires additional and comprehensive evaluation. This paper therefore aims at comparing several parallel HEV architectures to assess for their CO 2 emission reduction potential, drivability capabilities and total cost of ownership (TCO) with respect to conventional layouts. Both standard drive cycles and real-world driving missions have been analyzed and two different vehicles have been selected for the study. The obtained results demonstrate how parallel hybridization may remarkably improve both fuel economy and drivability capability compared to conventional internal combustion engine vehicles. Despite parallel HEVs present a higher purchasing cost, the latter can be efficiently recuperated over the vehicle lifetime. Finally, P2 architecture appears as the most favorable parallel HEV configuration according to the considered analysis parameters

    Volta Alessandro

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    The New Dictionary of Scientific Biography (extension and updating of the Dictionary of Scientific Biography) is one of the most substantial reference works in the field of the history of science. An up-to-date overview on Alessandro Volta's science with new perspectives offered by the author. Information and critical analysis is also provided on the main secondary literature produced on this main protagonist of enlightenment science after the 1976 entry "Volta Alessandro" in the Dictionary of Scientific Biography

    "Muy señor nuestro Alessandro Varaldo". La ricognizione del mondo spagnolo e portoghese per riscoprire un autore italiano di successo ma dimenticato

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    Who is Alessandro Varaldo (1876-1953)? This first analysis about what was said, adapted and translated of Varaldo’s work in the Iberian Peninsula and South America, maybe the only areas outside Italy where some traces of Italian author can be found, is a chance to go along his literary paths that overtook two temporal barriers (1900 and 1950), although it has not overtaken the oblivion’s threshold.Questa è una prima ricognizione di ciò che è stato detto, adattato e tradotto di Alessandro Varaldo (1876-1953) nella Penisola iberica e in Sud America, che si sospetta siano gli unici territori stranieri dove si riesca a ritracciare qualcosa dell’autore italiano, ed è un’occasione per ripercorrerne la traiettoria letteraria che ha superato due transenne temporali come il 1900 e il 1950 ma non quella della dimenticanza
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