Search results for "Vehicles"

showing 10 items of 202 documents

Towards a business model for second-life batteries: Barriers, opportunities, uncertainties, and technologies

2023

Electric vehicles (EVs) and the recent pandemic outbreak give cities a new trend to primarily private and shared mobility with low noise and less air pollution. Crucial factors for the widespread of EVs are the electrical charging infrastructure, driving range, and the reduction of the cost of battery packets. For this reason, there is a massive effort from manufacturers, governments, and the scientific community to reduce battery costs and boost sustainable electrical production and distribution. Battery reuse is an alternative to reduce batteries’ costs and environmental impacts. Second-life batteries can be used in a wide variety of secondary applications. Second-life batteries can be co…

Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFuel TechnologyElectrochemistryEnergy Engineering and Power TechnologyBusiness models Batteries Sustainability Electric vehicles Challenges Opportunities Lithium-ion batteries ReuseEnergy (miscellaneous)Journal of Energy Chemistry
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A load model for EV parking lots

2012

In the next years, electric mobility will be one of the issues electric utilities will have to face. The detailed modeling of the electric load generated by the presence of Electric Vehicles, EV, parking lots will be essential to simulate the different working conditions of new distribution systems. Also the detailed modeling will allow to deduce technical and economical aspects, allowing Distribution Systems Operators to devise the right incentives for EV customers. Such as, or maybe more than, residential loading the EV loading is strongly variable because it is connected to the human behavior, the modeling thus has to include stochastic terms. Moreover, to get realistic load profile for …

Settore ING-IND/33 - Sistemi Elettrici Per L'Energiaelectric vehicles modeling
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Energy Management System in Grid-Connected Small Scale AC/DC Microgrids Including Renewable Sources and Flexible Loads

2022

The growth of small scale microgrids with diverse distributed generations has drawn attention to their effective energy management. In this paper, for various energy scenarios, an energy management system is adopted to minimize the energy purchased by a hybrid AC/DC microgrid from the upstream grid due to high peak-hour energy prices and maximise generation from renewable sources, while adjusting the most optimal charge/discharge control strategies for flexible loads such as electric vehicles and storage systems, and the supply of non-controllable loads. In addition, peak shaving is simultaneously implemented in this proposed model without considering minimum power deviation as an objective…

Settore ING-IND/33 - Sistemi Elettrici Per L'Energiastorage systemsenergy managementelectrical vehiclesCharging/dischargingoptimizationrenewable source2022 Workshop on Blockchain for Renewables Integration (BLORIN)
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Robust Discrete-Time Lateral Control of Racecars by Unknown Input Observers

2023

This brief addresses the robust lateral control problem for self-driving racecars. It proposes a discrete-time estimation and control solution consisting of a delayed unknown input-state observer (UIO) and a robust tracking controller. Based on a nominal vehicle model, describing its motion with respect to a generic desired trajectory and requiring no information about the surrounding environment, the observer reconstructs the total force disturbance signal, resulting from imperfect knowledge of the time-varying tire-road interface characteristics, presence of other vehicles nearby, wind gusts, and other model uncertainty. Then, the controller actively compensates the estimated force and as…

Settore ING-INF/04 - AutomaticaControl and Systems EngineeringAutonomous vehicles Estimation extended state observer (ESO) Force input-state estimation Mathematical models Observers racecars robust vehicle control self-driving Trajectory Uncertainty Vehicle dynamicsElectrical and Electronic EngineeringIEEE Transactions on Control Systems Technology
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Virtual Vehicles Manager: a Java Virtual Reality Environment for Distributed Multi Vehicles Dynamics Control and Simulation

2007

Settore ING-INF/04 - AutomaticaVehicles Manager Java Virtual Reality Environment Distributed Multi Dynamics Control.
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Comparison between SiC and GaN switching devices in fast-recharging systems for electric vehicles

2023

Recently, the improvement of the semiconductor devices to achieve higher efficiency and higher power density has risen to interest. Si carbide and gallium nitride offer faster switching frequency and lower losses; however, the knowledge of the behaviour of these devices is not mature. In this paper, a system for fast charging of batteries for electric vehicles based on an isolated DC-DC converter equipped with both SiC and GaN devices is presented and an interesting experimental comparison among these two technologies will be given in terms of dynamic performances, electromagnetic compatibility, stability, efficiency, and so on.

SiC GaN electric vehicles power electronicsSettore ING-INF/04 - AutomaticaSettore ING-INF/01 - Elettronica
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Propagation Channels for mmWave Vehicular Communications : State-of-the-art and Future Research Directions

2018

Vehicular communications essentially support automotive applications for safety and infotainment. For this reason, industry leaders envision an enhanced role for vehicular communications in the fifth generation of mobile communications technology. Over the years, the number of vehicle- mounted sensors has increased steadily, which potentially leads to more volume of critical data communications in a short time. Also, emerging applications such as remote/autonomous driving and infotainment such as high-definition movie streaming require data-rates on the order of multiple Gb/s. Such high data rates require a large system bandwidth, but very limited bandwidth is available in the sub-6 GHz cel…

Signal Processing (eess.SP)FOS: Computer and information sciencesComputer scienceComputer Science - Information Theoryfrequency bandsAutomotive industry02 engineering and technologyFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringajoneuvotElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal ProcessingHigh data rateta213business.industryInformation Theory (cs.IT)Bandwidth (signal processing)020206 networking & telecommunicationsMicrowave transmissionwireless communicationComputer Science ApplicationsvehiclesExtremely high frequencylangaton viestintätaajuusalueetCellular frequenciesMobile telephonybusinessTelecommunicationsCommunication channelIEEE Wireless Communications
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Between the Megalopolis and the Deep Blue Sky: Challenges of Transport with UAVs in Future Smart Cities

2019

International audience; With the rapid increase of the world's urban population, the infrastructure of the constantly expanding metropolitan areas is undergoing an immense pressure. To meet the growing demands of sustainable urban environments and improve the quality of life for citizens, municipalities will increasingly rely on novel transport solutions. In particular, Unmanned Aerial Vehicles (UAVs) are expected to have a crucial role in the future smart cities thanks to their interesting features such as autonomy, flexibility, mobility, adaptive altitude, and small dimensions. However, densely populated megalopolises of the future are administrated by several municipals, governmental and…

Smart CitiesIntelligent Transport Systems[INFO]Computer Science [cs][INFO] Computer Science [cs]Unmanned Aerial Vehicles
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State Estimation of a Nonlinear Unmanned Aerial Vehicle Model using an Extended Kalman Filter

2008

An Extended Kalman Filter is designed in order to estimate both state variables and wind velocity vector at the same time for a non conventional unmanned aircraft. The proposed observer uses few measurements, obtained by means of either conventional simple air data sensors or a low cost GPS. To cope with the low rate of the GPS with respect to the other sensors, the EKF algorithm has been modified to allow for a dual rate measurement model. State propagation is obtained by means of an accurate six degrees of freedom nonlinear model of the aircraft dynamics. To obtain joint estimation of state and disturbance, wind velocity components are included in the set of the state variables. Both stoc…

State variableEngineeringObserver (quantum physics)business.industrySettore ING-IND/03 - Meccanica Del VoloWind speedExtended Kalman filterNonlinear systemSettore ICAR/05 - TrasportiControl theoryGlobal Positioning SystemSix degrees of freedomState observerbusinessAircraft modelsExtended Kalman filtersPosition controlRemotely operated vehiclesSensorsState estimationTurbulence models15th AIAA International Space Planes and Hypersonic Systems and Technologies Conference
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Electric Mobility in Portugal: Current Situation and Forecasts for Fuel Cell Vehicles

2021

In recent years, the growing concern for air quality has led to the development of sustainable vehicles to replace conventional internal combustion engine (ICE) vehicles. Currently, the most widespread technology in Europe and Portugal is that of Battery Electric Vehicles (BEV) or plug‐in HEV (PHEV) electric cars, but hydrogen‐based transport has also shown significant growth in the commercialization of Fuel Cell Electric Vehicles (FCEV) and in the development of new infrastructural schemes. In the current panorama of EV, particular attention should be paid to hydrogen technology, i.e., FCEVs, which is potentially a valid alternative to BEVs and can also be hybrid (FCHEV) and plug‐in hybrid…

TechnologyControl and OptimizationPopulationEnergy Engineering and Power TechnologySocio‐technical transitionplug-in hybridSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricifuel cell vehiclesCommercializationMarket segmentationsocio-technical transitionElectrical and Electronic EngineeringeducationEngineering (miscellaneous)Hydrogen infrastructureeducation.field_of_studyRenewable Energy Sustainability and the EnvironmentTechnological changeTElectric potential energyelectric mobility; fuel cell vehicles; plug-in hybrid; hydrogen; socio-technical transition; forecasting for FCEV; predictive modelBuilding and ConstructionEnvironmental economicsFuel cell vehicleSettore ING-IND/31 - ElettrotecnicaWork (electrical)Internal combustion enginePredictive modelElectric mobilityBusinessPlug‐in hybridEnergy (miscellaneous)Forecasting for FCEVHydrogenEnergies; Volume 14; Issue 23; Pages: 7945
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