Your Selections

University of Salerno
Show Only

Collections

File Formats

Content Types

Dates

Sectors

Topics

Authors

Publishers

Affiliations

Events

   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

FEM Substructuring for the Vibrational Characterization of a Petrol Engine

University of Salerno-Roberto Guglielmo Citarella, Venanzio Giannella
FCA Italy S.p.A.-Antonio Parente, Mauro Pirelli
  • Technical Paper
  • 2019-24-0059
Published 2019-09-09 by SAE International in United States
In this work the vibrational behavior of a 4-cylinder, 4-stroke, petrol engine has been simulated by leveraging on a reduced modelling strategy, based on the Component Mode Synthesis (CMS), adopted to reduce the size of the full FEM model of the engine.The FEM model of the engine, comprising all of its sub-components, has been preliminary characterized from the vibrational standpoint; subsequently, the CMS has been adopted in order to reduce the FEM model size.Frequency Response Function (FRF) analyses have been used to identify the resonant frequencies and mode shapes of the different FEM models, and the so-obtained results have been compared showing a very good agreement.The reduced model has been able to reproduce with a high accuracy the vibration response at the engine mounts. The adopted reduced modelling strategy turned out to be effective in lowering the computational burden, keeping, at the same time, an accurate replication of the engine vibrational behavior. Runtimes have been significantly reduced from 24 hours for the full FEM model to less than 2 hours for the reduced model.
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Modelling and Control of a Novel Clutchless Multiple-Speed Transmission for Electric Vehicles

University of Salerno-Ludovica Malafronte, Cesare Pianese
Mecaprom SRL-Mauro Grandone, Alberto Lega, Michele Pennese
  • Technical Paper
  • 2019-24-0063
Published 2019-09-09 by SAE International in United States
Conventional electric vehicles adopt either single-speed transmissions or direct drive architecture in order to reduce cost, losses and mass. However, the integration of optimized multiple-speed transmissions is considered as a feasible method to enhance EVs performances, (i.e. top speed, acceleration and grade climbing), improving powertrain efficiency, saving battery energy and reducing customer costs. Perfectly in line with these objectives, this paper presents a patented fully integrated electric traction system, as scalable solution for electrifying light duty passenger and commercial vehicles (1.5-4.2 tons), with a focus on minibuses (<20 seats). The adoption of high-speed motor coupled to multiple-speed transmission offers the possibility of a relevant efficiency improvement, a 50% volume reduction with respect to a traditional transmission, superior output torque and power density.The proposed clutchless four-speed transmission is specifically conceived and designed to have the good matching with the traction electric motor. Indeed, clutches and synchronizers are not required thanks to the small inertia of the traction motor and its fast regulation in both torque and speed mode (torque modulation process). Therefore, an advanced shifting control…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Enhancing Cruise Controllers through Finite-Horizon Driving Mission Optimization for Passenger Vehicles

University of Salerno-Antonio D'Amato, Fabrizio Donatantonio, Ivan Arsie, Cesare Pianese
Published 2018-04-03 by SAE International in United States
In the last few years, several studies have proved the benefits of exploiting information about the road topography ahead of the vehicle to adapt vehicle cruising for fuel consumption reduction. Recent technologies have brought on-board more road information enabling the optimization of the driving profile for fuel economy improvement.In the present paper, a cruise controller able to lowering vehicle fuel consumption taking into account the characteristics of the road the vehicle is traveling through is presented. The velocity profile is obtained by minimizing via discrete dynamic programming the energy spent to move the vehicle. In order to further enhance vehicle fuel efficiency, also the gear shifting schedule is optimized, allowing to avoid useless gear shifts and choose the most suitable gear to match current road load and keeping the engine in its maximum efficiency range. Despite the optimality of the solution provided, dynamic programming entails high computational time. Moreover, it is unlikely to have the a-priori knowledge of the entire route. To deal with these issues, the optimization problem is solved over a receding horizon…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Experimental Testing of a Low Temperature Regenerating Catalytic DPF at the Exhaust of a Light-Duty Diesel Engine

University of Salerno-Bruno Rossomando, Ivan Arsie, Eugenio Meloni, Vincenzo Palma, Cesare Pianese
Published 2018-04-03 by SAE International in United States
The wall-flow Diesel Particulate Filter (DPF) is currently the most common after-treatment system used to meet the particulate emission limits imposed by government regulations. Today’s technology shows the best balance between filtration efficiency and back-pressure in the engine exhaust pipe. Conventional filters consist in alternately plugged parallel square channels, so that the exhaust gases flow through the porous inner walls leading to particles trapping. During the accumulation phase the pressure drop across the filter increases, thus requiring periodic regeneration of the DPF through after and post fuel injection strategies.This paper deals with the experimental testing of a catalytic silicon carbide (SiC) wall flow DPFs with CuFe2O4 loading. The filter was built following an optimized procedure based on a preliminary controlled chemical erosion of the SiC porous structure. Such method allows increasing the initial average pore diameter of the bare filters and consequently the deposition of higher catalyst load without affecting the pressure drop.The experimental tests were performed at the exhaust of a EURO V light-duty Diesel engine, operating at different speed/load conditions. The results exhibit…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

The Effect of Reachability on Global Comfort Perception: The Case of Front-seat Car Passengers

University of Salerno-Ornella Cannavacciuolo, Giuseppe Cialeo, Pietro De Stefano, Ilene Goglia, Rosanna Russo
Universita Degli Studi Di Salerno-Alessandro Naddeo
Published 2018-04-03 by SAE International in United States
Much research has been carried out in recent years to estimate perceived comfort levels for passengers in motor vehicles. This interest is in part due to the introduction of specific provisions (e.g. Law 81/08 in Italy). Another factor is the increased interest and attention of customers. These studies have concentrated in large part on driver position. However, this work describes an application of postural analysis of with results obtained via data acquired during the interaction between the passenger and the dashboard.Tests were carried out in the Virtual Reality Laboratory (VR Lab) at the University of Salerno using a physical mock-up of a passenger car seat involving a fully reconfigurable seating buck. The interior of a FIAT Grande Punto, MY 2013, was configured by setting the seating-buck parameters. Twenty participants were asked to sit in the car seat with their shoulders against the seatback. They were then asked to reach each of the dashboard buttons. To acquire the angles of the subject’s joints, pictures were taken and processed using KINOVEA® software. Each subject was subsequently given…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Development of a Cruise Controller Based on Current Road Load Information with Integrated Control of Variable Velocity Set-Point and Gear Shifting

University of Salerno-Antonio D'Amato, Fabrizio Donatantonio, Ivan Arsie, Cesare Pianese
Published 2017-03-28 by SAE International in United States
Road topography has a remarkable impact on vehicle fuel consumption for both passenger and heavy duty vehicles. In addition, erroneous or non-optimized scheduling of both velocity set-point and gear shifting may be detrimental for fuel consumption and performance. Recent technologies have made road data, such as elevation or slope, either available or measurable on board, thus making possible the exploitation of this additional information in innovative controllers.The aim of this paper is the development of a smart, fuel-economy oriented controller adapting cruising speed and engaged gear to current road load (i.e. local slope). Unlike traditional cruise controllers, the velocity set-point is not constant, but it is set by applying a mathematical transformation of the current slope, accounting for the mission time duration as well. A smart shifting logic operation has also been implemented according to the following rules: i) avoid excessive shifting; ii) choose suitable gear to deal with road load while iii) respecting engine operation constraints and iv) keep the engine speed in its maximum efficiency range. Furthermore, in order to enhance fuel economy,…
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

A Methodology to Enhance Design and On-Board Application of Neural Network Models for Virtual Sensing of Nox Emissions in Automotive Diesel Engines

University of Salerno-Ivan Arsie, Andrea Cricchio, Cesare Pianese, Marco Sorrentino
Magneti Marelli Powertrain-Matteo De Cesare
Published 2013-09-08 by SAE International in United States
The paper describes suited methodologies for developing Recurrent Neural Networks (RNN) aimed at estimating NOx emissions at the exhaust of automotive Diesel engines. The proposed methodologies particularly aim at meeting the conflicting needs of feasible on-board implementation of advanced virtual sensors, such as neural network, and satisfactory prediction accuracy. Suited identification procedures and experimental tests were developed to improve RNN precision and generalization in predicting engine NOx emissions during transient operation. NOx measurements were accomplished by a fast response analyzer on a production automotive Diesel engine at the test bench. Proper post-processing of available experiments was performed to provide the identification procedure with the most exhaustive information content. The comparison between experimental results and predicted NOx values on several engine transients, exhibits high level of accuracy.
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Real-Time Estimation of Intake O2 Concentration in Turbocharged Common-Rail Diesel Engines

SAE International Journal of Engines

University of Salerno-Ivan Arsie, Andrea Cricchio, Cesare Pianese
Magneti Marelli SpA Powertrain Division-Matteo De Cesare
  • Journal Article
  • 2013-01-0343
Published 2013-04-08 by SAE International in United States
Automotive engines and control systems are more and more sophisticated due to increasingly restrictive environmental regulations. Particularly in both diesel and SI lean-burn engines NOx emissions are the key pollutants to deal with and sophisticated Engine Management System (EMS) strategies and after-treatment devices have to be applied. In this context, the in-cylinder oxygen mass fraction plays a key-role due its direct influence on the NOx formation mechanism. Real-time estimation of the intake O₂ charge enhances the NOx prediction during engine transients, suitable for both dynamic adjustments of EMS strategies and management of aftertreatment devices.The paper focuses on the development and experimental validation of a real-time estimator of O₂ concentration in the intake manifold of an automotive common-rail diesel engine, equipped with turbocharger and EGR system. The paper analyzes the air intake process and the influence of the exhaust gas recirculation system based on a mean value modeling approach. All variables required are available at EMS level, thus allowing an on-board implementation without extra costs for additional sensors.The accuracy of the developed estimator is assessed by…
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

Energy Management and Control of a Moving Solar Roof for a Vehicle

University of Salerno-Gaetano Coraggio, Gianfranco Rizzo, Cecilia Pisanti, Adolfo Senatore
Published 2011-09-11 by SAE International in United States
The integration of photovoltaic (PV) panels on electric and hybrid vehicles is gaining interest, thanks to the increasing fleet electrification, the improvement in solar panel efficiency and the reduction in their costs. In order to maximize the solar contribution, the adoption of self-orienting solar roof when the vehicle is parked can be considered. In the paper, the authors present a study on the energy management of a moving solar roof, as a 3 d.o.f. parallel robot, in a solar assisted vehicle. A model based control is developed, based on combined use of measured solar power, image processing form a digital camera and data provided by a GPS module, and implemented over a small scale prototype. An optimal tracking strategy, considering the effects of different insolation and of mechanical losses, is also presented.
This content contains downloadable datasets
Annotation ability available
   This content is not included in your SAE MOBILUS subscription, or you are not logged in.

An Energetic Comparison for Hybrid Vehicles Ranging from Low to High Degree of Hybridization

University of Salerno-Marco Sorrentino, Gianfranco Rizzo
University of Sannio-Francesco Vasca
Published 2011-09-11 by SAE International in United States
The efficiency achievable with effective energy management strategies represents a key issue for modern hybrid electric vehicles (HEVs). In this paper, by comparing different HEVs architectures with the same power to weight ratio, the dependence of energy consumption on different degrees of hybridization and powertrain architectures is analyzed. The fuel economy achievable by using dynamic programming based strategies is considered as the benchmark. The comparative study analyzes also the influence of driving cycles and the impact of plug-in concepts both on fuel economy and battery lifetime. Numerical results on realistic vehicles highlight the higher energy saving potentialities offered by parallel HEVs, while series HEVs remain of interest because of their simpler energy management and higher suitability for plug-in operations.
This content contains downloadable datasets
Annotation ability available