Search results for "Automotive engine"

showing 10 items of 486 documents

A Two-Stage Fault Detection and Classification Scheme for Electrical Pitch Drives in Offshore Wind Farms Using Support Vector Machine

2019

Pitch systems are one of the components with the most frequent failure in wind turbines. This paper presents a two-stage fault detection and classification scheme for electric motor drives in wind turbine pitch systems. The presented approach is suitable for application in offshore wind farms with electric pitch systems driven by induction motors as well as permanent magnet synchronous motors. The adopted strategy utilizes three-phase motor current sensing at the pitch drives for fault detection and only when a fault condition is detected at this stage, features extracted from the current signals are transmitted to a support vector machine classifier located centrally to the wind farm. The …

Electric motorWind powerbusiness.industryComputer science020209 energy020208 electrical & electronic engineeringCondition monitoring02 engineering and technologyFault (power engineering)TurbineIndustrial and Manufacturing EngineeringAutomotive engineeringFault detection and isolationOffshore wind powerControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringbusinessInduction motorIEEE Transactions on Industry Applications
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Sustainable Energy Supply in Vietnam

2020

The steep growth of electricity demand in Vietnam (11% per year on average since 2006) calls for a deep rethinking of the Vietnamese electrical power system. Its topological structure indeed may not be well suited for a deep penetration of renewable energy sources and a predictable increase of reactive industrial loads. The Vietnamese power system is described and a few analytical methods are considered for its study both in steady state and in dynamic conditions in different scenarios. The power system simulation software Neplan is used for the implementation of the system’s model and the performing of the dynamic analysis.

Electric power systemSteady state (electronics)Power system simulationSoftwarebusiness.industryDeep penetrationEnvironmental scienceElectric powerbusinessAutomotive engineeringRenewable energySustainable energy
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Machine-learned models for the performance of six different solar PV technologies under the tropical environment

2020

Due to the recent environmental concerns and long-term challenges in energy security, the Global energy scenarios are shifting more towards sustainable and renewable energy resources. Brunei has planned to increase the use of cleaner energy technologies by contributing 10 percent or 954 GWh of renewable energy in its power generation mix by 2035. Out of the available renewable options, solar is the most promising one for Brunei, for example, the daily average solar installation is around 5kWh per day [1]. Though solar energy is an abundant resource, for optimally designing and successfully managing solar power projects, its availability in different time scales are to be analyzed and unders…

Electricity generationResource (project management)business.industryPhotovoltaic systemEnvironmental scienceContext (language use)Energy securitySolar energybusinessSolar powerAutomotive engineeringRenewable energy2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)
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On benchmarking the dependability of automotive engine control applications

2004

The pervasive use of ECUs (electronic control units) in automotive systems motivates the interest of the community in methodologies for quantifying their dependability in a reproducible and cost-effective way. Although the core of modern vehicle engines is managed by the control software embedded in engine ECUs, no practical approach has been proposed so far to characterise the impact of faults on the behaviour of this software. This paper proposes a dependability benchmark for engine control applications. The essential features of such type of applications are first captured in a general model, which is then exploited in order to specify a standard procedure to assess dependability measure…

Electronic control unitAutomotive engineSoftwarebusiness.industryProcess (engineering)Computer scienceBenchmark (computing)DependabilityBenchmarkingbusinessAutomotive electronicsAutomotive engineeringReliability engineering
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Design and Implementation of an Electronic Control Unit for a CFR Bi-Fuel Spark Ignition Engine

2017

In this work an Electronic Control Unit for the management of a CFR engine will be described. The engine, which is used both for fuel octane rating (both in terms of RON and MON) and for research purpose, is equipped with a double injection system, with the aim to independently operate both with liquid and gaseous fuels. The developed ECU, hence, is able to control the injections of both kind of fuel, together with the spark ignition. Furthermore the system is also able to measure fuel’s consumption, instantaneous engine speed of rotation and air-fuel ratio, showing all the running parameters both on a local LCD display and on a PC based graphical user interface.

Electronic control unitEngineeringLiquid-crystal displaybusiness.industryComputerApplications_COMPUTERSINOTHERSYSTEMSSettore ING-INF/01 - ElettronicaAutomotive engineeringlaw.inventionIgnition systemSettore ING-IND/08 - Macchine A FluidolawSpark-ignition engineSpark (mathematics)Octane ratingIgnition timingbusinessEmbedded programming Engine control unit Spark ignition STM-Nucleo boardGraphical user interface
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A Study on the Use of Combustion Phase Indicators for MBT Spark Timing on a Bi-Fuel Engine

2007

The performance of a spark ignition engine strongly depends on the phase of the combustion process with respect to piston motion, and hence on the spark advance; this fundamental parameter is actually controlled in open-loop by means of maps drawn up on the test bench and stored in the Electronic Control Unit (ECU). Bi-fuel engines (e.g. running either on gasoline or on natural gas) require a double mapping process in order to obtain a spark timing map for each of the fuels. This map based open-loop control however does not assure to run the engine always with the best spark timing, which can be influenced by many factors, like ambient condition of pressure, temperature and humidity, fuel p…

Electronic control unitTest benchCombustionAutomotive engineeringElectronic control units Compressed natural gas Gasoline Dual fuel engines Spark ignition engineslaw.inventionPistonSettore ING-IND/08 - Macchine A FluidolawSpark-ignition engineSpark (mathematics)Fuel efficiencyEnvironmental scienceGasolineSAE Technical Paper Series
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Racecar Longitudinal Control in Unknown and Highly-Varying Driving Conditions

2020

This paper focuses on racecar longitudinal control with highly-varying driving conditions. The main factors affecting the dynamic behavior of a vehicle, including aerodynamic forces, wheel rolling resistance, traction force resulting from changing tire-road interaction as well as the occurrence of sudden wind gusts or the presence of persistent winds, are considered and assumed to have unknown models. By exploiting the theory on delayed input-state observers and using measurement data about the vehicle and wheel speeds, a dynamic filter that allows the online reconstruction of the above-mentioned unknown time-varying quantities is derived. Moreover, by exploiting the notion of effective tir…

Electronic speed controlTractive forceObserver (quantum physics)Computer Networks and CommunicationsComputer scienceRolling resistanceAerospace EngineeringAerodynamicsVehicle dynamicsAerodynamic forceNoiseautonomous Vehicles input-state estimation racecars Self-drivingSettore ING-INF/04 - AutomaticaControl theoryWind gustAutomotive EngineeringElectrical and Electronic EngineeringIEEE Transactions on Vehicular Technology
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External parameters contribution in domestic load forecasting using neural network

2015

Domestic demand prediction is very important for home energy management system and also for peak reduction in the power system network. In this work, for precise prediction of power demand, external parameters, such as temperature and solar radiation, are considered and included in the prediction model for improving prediction performance. Power prediction models for coming hours' power demand estimation are built using neural network based on hourly power consumptions data with / without ambient temperature data and global solar irradiation (GSI) data respectively. In this work, a typical Southern Norwegian household demand has been considered. As a result, both ambient temperature and GSI…

Energy management systemReduction (complexity)Electric power systemEngineeringWork (thermodynamics)Artificial neural networkbusiness.industryLoad forecastingbusinessPredictive modellingSimulationAutomotive engineeringPower (physics)International Conference on Renewable Power Generation (RPG 2015)
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Energy-saving analysis of hydraulic hybrid excavator based on common pressure rail

2013

Published version of an article in the journal: The Scientific World Journal. Also available from the publisher at: http://dx.doi.org/10.1155/2013/560694 Open Access Energy-saving research of excavators is becoming one hot topic due to the increasing energy crisis and environmental deterioration recently. Hydraulic hybrid excavator based on common pressure rail (HHEC) provides an alternative with electric hybrid excavator because it has high power density and environment friendly and easy to modify based on the existing manufacture process. This paper is focused on the fuel consumption of HHEC and the actuator dynamic response to assure that the new system can save energy without sacrificin…

Energy-Generating ResourcesArticle SubjectComputer sciencelcsh:Medicinelcsh:TechnologyVDP::Teknologi: 500::Maskinfag: 570::Maskinteknisk energi- og miljøteknologi: 573General Biochemistry Genetics and Molecular BiologyAutomotive engineeringEngineeringElectricityPressureComputer Simulationlcsh:ScienceGeneral Environmental ScienceMechanical PhenomenaOne-hotbusiness.industrylcsh:Tlcsh:RProcess (computing)General MedicineEquipment DesignModels TheoreticalSizingExcavatorFuel efficiencylcsh:QElectricityActuatorbusinessAlgorithmEnergy (signal processing)Research Article
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Simulation of a single-phase five-level cascaded H-Bridge inverter with multicarrier SPWM B-Spline based modulation techniques

2017

Multilevel Power Inverters are now often used to convert DC to AC voltage waveform. This kind of converter allows high power quality with low output harmonics and lower commutation losses with respect to the traditional ones in order to optimize this aspect. This paper presents a novel simulation analysis of the Multicarrier Sinusoidal Pulse Width Modulation (MC SPWM) techniques B-Spline functions based to control the switches of five-level single-phase cascaded H-bridge inverter. In order to verify the performance of the converter, the harmonic content of the voltage due to modulation techniques has been taken into account. Results highlight the comparison between different B-Spline functi…

Engineering02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettrici01 natural sciences010309 optics0103 physical sciences0202 electrical engineering electronic engineering information engineeringElectronic engineeringMultilevel power converterWaveformCommutationElectrical and Electronic EngineeringRenewable Energy Sustainability and the Environmentbusiness.industryB-spline function020208 electrical & electronic engineeringMulticarrier modulation techniquePower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSettore ING-IND/31 - ElettrotecnicaModulationHarmonicsAutomotive EngineeringHarmonicInverterbusinessPulse-width modulation2017 Twelfth International Conference on Ecological Vehicles and Renewable Energies (EVER)
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