Current Issue : October - December Volume : 2017 Issue Number : 4 Articles : 5 Articles
Li-Ion batteries are widely preferred in electric vehicles. The charge status of batteries\nis a critical evaluation issue, and many researchers are studying in this area. State of charge gives\ninformation about how much longer the battery can be used and when the charging process will be\ncut off. Incorrect predictions may cause overcharging or over-discharging of the battery. In this study,\na low-cost embedded system is used to determine the state of charge of an electric car. A Li-Ion battery\ncell is trained using a feed-forward neural network via Matlab/Neural Network Toolbox. The trained\ncell is adapted to the whole battery pack of the electric car and embedded via Matlab/Simulink to\na low-cost microcontroller that proposed a system in real-time. The experimental results indicated\nthat accurate robust estimation results could be obtained by the proposed system....
A hybrid electrical bus employs both a turbo diesel engine and an electric motor to drive the vehicle in different speed-torque\nscenarios. The cooling system for such a vehicle is particularly power costing because it needs to dissipate heat from not only the\nengine, but also the intercooler and the motor. An electronic control unit (ECU) has been designed with a single chip computer,\ntemperature sensors, DC motor drive circuit, and optimized control algorithm to manage the speeds of several fans for efficient\ncooling using a nonlinear fan speed adjustment strategy. Experiments suggested that the continuous operating performance of the\nECU is robust and capable of saving 15% of the total electricity comparing with ordinary fan speed control method....
This paper presents a comparison between the experimental investigation and the Finite Element (FE) modal analysis of an\nautomotive rear subframe. A modal correlation between the experimental data and the forecasts is performed. The present\nnumerical model constitutes a predictive methodology able to forecast the experimental dynamic behaviour of the structure.\nThe actual structure is excited with impact hammers and the modal response of the subframe is collected and evaluated by the\nPolyMAX algorithm. Both the FEmodel and the structural performance of the subframe are defined according to the Ferrari S.p.A.\ninternal regulations. In addition, a novel modelling technique for welded joints is proposed that represents an extension of ACM2\napproach, formulated for spot weld joints in dynamic analysis. Therefore, theModal Assurance Criterion (MAC) is considered the\noptimal comparison index for the numerical-experimental correlation. In conclusion, a good numerical-experimental agreement\nfrom 50Hz up to 500Hz has been achieved by monitoring various dynamic parameters such as the natural frequencies, the mode\nshapes, and frequency response functions (FRFs) of the structure that represent a validation of this FEmodel for structural dynamic\napplications....
In order to improve the diesel engine performance under plateau (high altitude) conditions,\na new Speed Adjustable Compound (SAC) supercharging method is proposed. A simulation model\nbased on a six-cylinder V-type turbocharged intercooler diesel engine is built on the GT-POWER\nplatform, and then simulation-based research is carried out. A genetic algorithm (GA) is used to\nidentify the best operation parameters, including the supercharger speed and fuel injection quantity\nunder steady state conditions. Transient performance is obtained through starting process simulation\nof a vehicle with SAC engine on theMATLAB/Simulink GT-POWER co-simulation platform. Both the\nsteady and transient performance of the SAC engine are compared with those of the original engine.\nResults show that the torque of the SAC engine at full load is significantly increased when the\nengine speed n < 1600 r/min. The increment of the maximum torque can reach up to 31% at\n1000 r/min compared to that of the original engine, while the peak torque is increased by 9%. The fuel\nconsumption deterioration is restricted within 5%. What�s more, the SAC engine can help reducing\nthe acceleration time by 20% during tip-in pedal events during the vehicle starting process....
Oman is a fast developing country where about 76% of registered vehicles as\nof 2014 were private cars with approximately one private car per household.\nThe growth of automobile is faster than the growth of human population. From\n2000-2009, Omani population has increased by 2% per annum while automobile\nusage in the country has increased by 4.3%. The leadership of Sultanate of\nOman has pledged to cut down greenhouse (GHG) emissions by 2% as a\ncommitment to United Nation Framework Convention on Climate Change\n(UNFCCC). Due to very limited public transportation system, traffic congestion\nand emission from vehicles are high during working days since majority\nof individuals uses private vehicles as only means of transport. This paper\nseeks to combine mitigation measures adopted in selected Middle East and\nNorth Africa (MENA) and UNFCCC to suggest cost-effective measures suitable\nin reducing GHG emissions from road transportation sector in Oman. These\nmeasures will specifically reduce vehicular emissions during working days\nwhere car occupancy rates are very low in an economically sustainable way....
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