2,413 research outputs found
Development of an Adaptive Efficient Thermal/Electric Skipping Control Strategy Applied to a Parallel Plug-in Hybrid Electric Vehicle
In recent years automobile manufacturers focused on an increasing degree of electrification of the powertrains with the aim to reduce pollutants and CO2 emissions. Despite more complex design processes and control strategies, these powertrains offer improved fuel exploitation compared to conventional vehicles thanks to intelligent energy management. A simulation study is here presented aiming at developing a new control strategy for a P3 parallel plug-in hybrid electric vehicle. The simulation model is implemented using vehicle modeling and simulation toolboxes in MATLAB/Simulink. The proposed control strategy is based on an alternative utilization of the electric motor and thermal engine to satisfy the vehicle power demand at the wheels (Efficient Thermal/Electric Skipping Strategy-ETESS). The choice between the two units is realized through a comparison between two equivalent fuel rates, one related to the thermal engine and the other related to the electric consumption. An adaptive function is introduced to develop a charge-blended control strategy. The novel adaptive control strategy (A-ETESS) is applied to estimate fuel consumption along different driving cycles. The control algorithm is implemented on a dedicated microcontroller unit performing a Processor-In-the-Loop (PIL) simulation. To demonstrate the reliability and effectiveness of the A-ETESS, the same adaptive function is built on the Equivalent Consumption Minimization Strategy (ECMS). The PIL results showed that the proposed strategy ensures a fuel economy similar to ECMS (worse of about 2% on average) and a computational effort reduced by 99% on average. This last feature reveals the potential for real-time on-vehicle applications
Effects of Pre-Lift Intake Valve Strategies on the Performance of a DISI VVA Turbocharged Engine at Part and Full Load Operationâ
Abstract In the paper, the potentialities offered by an advanced valve lift design are numerically analyzed. In particular, the study is carried out by a 1D approach and regards the characterization of a VVA strategy named " pre-lift" applied to a downsized turbocharged four-cylinder engine. The pre-lift consists of a small, almost constant lift of the intake valve during the exhaust stroke, so to increase the valves overlapping. The results show a benefit on the fuel economy and on the gas-dynamic noise at part load and a substantial increase in the delivered torque at full load, while preserving the fuel consumption
Preface: Multiscale and multiphysics modeling of âcomplexâ materials and engineering applications
none3noN.A.mixedTrovalusci P.; Fantuzzi N.; De Bellis M.L.Trovalusci P.; Fantuzzi N.; De Bellis M.L
I poteri ispettivi dellâamministrazione europea
Lâamministrazione europea esercita poteri ispettivi in una varietĂ di settori: ai poteri attribuiti da lungo tempo alla Commissione per la tutela della concorrenza, si sono affiancati quelli assegnati alla Banca centrale europea (Bce) per il settore bancario, alle agenzie europee competenti in materia finanziaria (Esma), per la sicurezza del trasporto aereo (Easa) e per la pesca (Efca), nonchĂ© allâUfficio europeo per la lotta antifrode (Olaf). I poteri di ispezione, implicando lâaccesso a luoghi generalmente sottratti al pubblico e lâacquisizione di informazioni e di documenti, incidono in via unilaterale su diritti fondamentali degli ispezionati, quali lâinviolabilitĂ del domicilio e la segretezza delle comunicazioni. Al centro dellâindagine vi Ăš il problema del controllo sullâesercizio dei poteri ispettivi e della tutela dei diritti dei privati sottoposti ad ispezione da parte dellâamministrazione europea. A tale questione si collegano gli interrogativi relativi allâinquadramento teorico dei poteri ispettivi e allâinfluenza del fenomeno in esame sullo stesso sviluppo dei tratti caratterizzanti del diritto amministrativo europeo
A numerical model of the human cornea accounting for the fiber-distributed collagen microstructure
We present a fiber-distributed model of the reinforcing collagen of the human cornea. The model describes the basic connections between the components of the tissue by defining an elementary block (cell) and upscaling it to the physical size of the cornea. The cell is defined by two sets of collagen fibrils running in approximately orthogonal directions, characterized by a random distribution of the spatial orientation and connected by chemical bonds of two kinds. The bonds of the first kind describe the lamellar crosslinks, forming the ribbon-like lamellae; while the bonds of the second kind describe the stacking crosslinks, piling up the lamellae to form the structure of the stroma. The spatial replication of the cell produces a truss structure with a considerable number of degrees of freedom. The statistical characterization of the collagen fibrils leads to a mechanical model that reacts to the action of the deterministic intraocular pressure with a stochastic distribution of the displacements, here characterized by their mean value and variance. The strategy to address the solution of the heavy resulting numerical problem is to use the so-called stochastic finite element improved perturbation method combined with a fully explicit solver. Results demonstrate that the variability of the mechanical properties affects in a non-negligible manner the expected response of the structure to the physiological action
Is your EPL attractive? Classification of publications through download statistics
Here we consider the download statistics of EPL publications. We find that
papers in the journal are characterised by fast accumulations of downloads
during the first couple of months after publication, followed by slower rates
thereafter, behaviour which can be represented by a model with predictive
power. We also find that individual papers can be classified in various ways,
allowing us to compare categories for open-access and non-open-access papers.
For example, for the latter publications, which comprise the bulk of EPL
papers, a small proportion (2%) display intense bursts of download activity,
possibly following an extended period of less remarkable behaviour. About 18%
have an especially high degree of attractiveness over and above what is typical
for the journal. One can also classify the ageing of attractiveness by
examining download half-lives. Approximately 18% have strong interest
initially, waning in time. A further 20% exhibit "delayed recognition" with
relatively late spurs in download activity. Although open-access papers enjoy
more downloads on average, the proportions falling into each category are
similar.Comment: 6 pages, 8 figures, accepted for publication in EP
Secondary metabolites in xylella fastidiosa-plant interaction
During their evolutionary history, plants have evolved the ability to synthesize and accumulate small molecules known as secondary metabolites. These compounds are not essential in the primary cell functions but play a significant role in the plantsâ adaptation to environmental changes and in overcoming stress. Their high concentrations may contribute to the resistance of the plants to the bacterium Xylella fastidiosa, which has recently reâemerged as a plant pathogen of global importance. Although it is established in several areas globally and is considered one of the most dangerous plant pathogens, no cure has been developed due to the lack of effective bactericides and the difficulties in accessing the xylem vessels where the pathogen grows and produces cell aggregates and biofilm. This review highlights the role of secondary metabolites in the defense of the main economic hosts of X. fastidiosa and identifies how knowledge about biosynthetic pathways could improve our understanding of disease resistance. In addition, current developments in non-invasive techniques and strategies of combining molecular and physiological techniques are examined, in an attempt to identify new metabolic engineering options for plant defense
Adaptive ECMS based on speed forecasting for the control of a heavy-duty fuel cell vehicle for real-world driving
[EN] Aiming at reducing pollutant emissions, hydrogen and fuel cell hybrid electric vehicles (FCVs) represent a promising technological solution. In this scenario, this paper proposes an adaptive energy management strategy (A-EMS) based on speed forecasting for a heavy-duty FCV, in order to achieve stable battery charge sustenance in realistic driving conditions. A validated and optimized fuel cell system model has been integrated into a complete vehicle model developed in the GT-Suite environment. A short-term velocity prediction layer based on a long short term memory (LSTM) neural network has been built in the A-EMS framework. The network has been trained and tested with realistic driving data simulated by GT-Real Drive for routes of the Trans-European Transport Network. The vehicle speed prevision has been realized over different forecasting horizons (5, 10, and 20 s). The adaptive equivalent consumption minimization strategy (A-ECMS) combined with short-term vehicle speed prediction is the A-EMS core algorithm of the presented work. Its results are here compared with the standard ECMS (S-ECMS) for four different driving cycles, including both standardized (HDDT) and realistic driving profiles. Three different European routes, with varying characteristics and from different countries, have been selected to test the proposed strategy in various conditions. The short-term prediction layer achieves satisfactory forecasting accuracy, with a RMSE ranging from 1.76 km/h to 13.37 km/h. The A-ECMS provides an improved by an order of magnitude battery charge sustenance, evaluated in terms of maximum battery state of charge (SoC) variation and fluctuation degree, with a hydrogen consumption increase ranging from 3.76% to 11.40% compared to the S-ECMS, for which the driving cycle is supposed to be known beforehand. As an example, in the HDDT cycle, the absolute maximum SoC variation and its fluctuation degree are lowered by about 76% and 79%, respectively. In conclusion, the proposed A-ECMS demonstrated that it is applicable for real driving conditions without prior knowledge of the driving cycle while improving battery charge sustaining for a FCV.This study was funded by the Generalitat Valenciana (Conselleria d'Innovacio, Universitats, Ciencia i Societat Digital) as a part of the DE-FIANCE research project (CIPROM/2021/039) through the PROMETEO funding program. Funding for open access charge: CRUE-Universitat Politecnica de Valencia.Piras, M.; De Bellis, V.; Malfi, E.; Novella Rosa, R.; LĂłpez-JuĂĄrez, M. (2023). Adaptive ECMS based on speed forecasting for the control of a heavy-duty fuel cell vehicle for real-world driving. Energy Conversion and Management. 289. https://doi.org/10.1016/j.enconman.2023.11717828
A novel human aquaporin-4 splice variant exhibits a dominant-negative activity: a new mechanism to regulate water permeability.
Two major isoforms of aquaporin-4 (AQP4) have been described in human tissue. Here we report the identification and functional analysis of an alternatively spliced transcript of human AQP4, AQP4-Î4, that lacks exon 4. In transfected cells AQP4-Î4 is mainly retained in the endoplasmic reticulum and shows no water transport properties. When AQP4-Î4 is transfected into cells stably expressing functional AQP4, the surface expression of the full-length protein is reduced. Furthermore, the water transport activity of the cotransfectants is diminished in comparison to transfectants expressing only AQP4. The observed down-regulation of both the expression and water channel activity of AQP4 is likely to originate from a dominant-negative effect caused by heterodimerization between AQP4 and AQP4-Î4, which was detected in coimmunoprecipitation studies. In skeletal muscles, AQP4-Î4 mRNA expression inversely correlates with the level of AQP4 protein and is physiologically associated with different types of skeletal muscles. The expression of AQP4-Î4 may represent a new regulatory mechanism through which the cell-surface expression and therefore the activity of AQP4 can be physiologically modulated
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