1,721,150 research outputs found
Active adaptive battery aging management for electric vehicles
The battery pack accounts for a large share of an electric vehicle cost. In this context, making sure that the battery pack life matches the lifetime of the vehicle is critical. The present work proposes a battery aging management framework which is capable of controlling the battery capacity degradation while guaranteeing acceptable vehicle performance in terms of driving range, recharge time, and drivability. The strategy acts on the maximum battery current, and on the depth of discharge. The formalization of the battery management issue leads to a multi-objective, multi-input optimization problem for which we propose an online solution. The algorithm, given the current battery residual capacity and a prediction of the driver's behavior, iteratively selects the best control variables over a suitable control discretization step. We show that the best aging strategy depends on the driving style. The strategy is thus made adaptive by including a self-learnt, Markov-chain-based driving style model in the optimization routine. Extensive simulations demonstrate the advantages of the proposed strategy against a trivial strategy and an offline benchmark policy over a life of 200 000 (km)
Closed-loop battery aging management for electric vehicles
In this work, a closed-loop battery aging management strategy for electric vehicles is proposed. The aging management strategy, following the model predictive control rationale, optimizes aging and vehicle performance online. The proposed formulation is based on a closed-loop term which aims at tracking a user defined aging profile. A thorough simulation study validates the approach and verifies its robustness against model uncertainties and anomalous aging phenomena
A Description Logic Framework for Commonsense Conceptual Combination Integrating Typicality, Probabilities and Cognitive Heuristics
We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of the combination of prototypical concepts. The proposed logic relies on the logic
of typicality ALC + TR, whose semantics is based on the notion of rational closure, as well
as on the distributed semantics of probabilistic Description Logics, and is equipped with a
cognitive heuristic used by humans for concept composition.
We first extend the logic of typicality ALC + TR by typicality inclusions of the form
p :: T(C) v D, whose intuitive meaning is that “we believe with degree p about the fact that
typical Cs are Ds”. As in the distributed semantics, we define different scenarios containing
only some typicality inclusions, each one having a suitable probability. We then exploit such
scenarios in order to ascribe typical properties to a concept C obtained as the combination of
two prototypical concepts. We also show that reasoning in the proposed Description Logic is
EXPTIME-complete as for the underlying standard Description Logic ALC
Hepatitis C Virus–Associated Non-Hodgkin Lymphomas: Biology, Epidemiology, and Treatment
Eradication of hepatitis C virus (HCV) in indolent non-Hodgkin lymphomas (NHLs), especially in marginal zone lymphomas, determines the regression of the hematologic disorder in a significant fraction of cases. Because direct antiviral agents show an excellent profile in terms of efficacy, safety, and rapid onset of action, these drugs can be used in any clinical situation and in the presence of any comorbidities. To avoid the progression of the NHL, despite HCV eradication, antiviral therapy should be provided as soon as the viral infection is discovered; before that, the chronic antigenic stimulation determines the irreversible proliferation of neoplastic B cells
Explicit online least costly energy management for hybrid electric vehicles
In this paper, a numerical solution to the online least costly energy management problem for hybrid electric vehicles is illustrated. The key idea is that the optimal control problem corresponding to the least costly energy management task is here solved for different steady-state working points, so that explicit quasi-optimal power split maps suitable for realtime vehicle operation can be derived. The effectiveness of the proposed approach is shown within a simulation environment for the control of an extended range electric bus
Eccezione, eccesso, eccezionalità. 24 e la war on terror
L'articolo analizza la serie televisa americana "24", prodotta dalla Fox e distribuita in tutto il mondo con un enorme successo. A partire da una descrizione semiotica del suo format, dal modo in cui viene trattato il piano dell'espressione fino ai temi toccati dalla serie, si cerca di far emergere come questa fiction traduce e ri-presenta temi scottanti dell'attualità: il terrorismo, la paura, le minacce alla sicurezza nazionale. In particolare, e anche grazie ai suo "eccessi" stilistici e tematici, "24" permette di riflettere sul modo in cui oggi si può mostrare, e anche parlare, di tortura, dei modi in cui è legittimata, oltre che messa in scena
Proof Methods and Theorem Proving for Conditional Logics with Strong Centering
In this work we continue our investigation on proof methods and theorem proving for Conditional Logics with the selection function semantics. Conditional Logics recently have received a renewed attention and have found several applications in knowledge representation and artificial intelligence. We present a labelled sequent calculus for systems including the axiom of strong centering CS, as well as a theorem prover implementing the sequent calculus in Prolog
COCOS: A typicality based COncept COmbination System
In this short paper we describe COCOS, a tool we are currently developing in order to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. COCOS is based on a probabilistic extension of the logic of typicality ALC + TR by inclusions p:: T(C) ⊆ D ("we have probability p that typical Cs are Ds") and it embeds a set of cognitive heuristics for concept combination
Perché "The OC" non ha funzionato? Trionfi e cadute della fiction per adolescenti
L'articolo si concentra sulla serie televisiva "The O.C.", proponendo alcuni spunti di confronto con vecchie serie televisive a target adolescenziale, come la celebre Happy Days.
Creata da Josh Schwartz e in onda negli Stati Uniti sul network FOX, "The O.C." è composta da quattro stagioni e racconta di un gruppo di amici e delle loro famiglie residenti a Orange County, in California.
Dopo lo strepitoso successo della prima stagione, l’audience della fiction è nettamente calato, sia negli Stati Uniti che in Italia, tanto da indurre Mediaset (che la mandava in onda su Italia 1 in prima serata) a spostarne la programmazione in seconda serata dopo un periodo di interruzione.
L'articolo fa alcune ipotesi su ciò che può aver determinato il calo di interesse verso la serie e alcune considerazioni sulle strutture narrative e i valori profondi che, oggi come ieri (pur con le debite differenze), reggono le serie televisive a target adolescenziale
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