Current Issue : January - March Volume : 2019 Issue Number : 1 Articles : 5 Articles
The ultra-compact electric vehicle has recently experienced increasing popularity for\nshort-distance travel. However, one of the issues with ultra-compact electric vehicles is that although\nthe engine is silent, exterior road and wind noise have a significant impact on the occupantâ??s comfort\nin the interior space. We propose an ANC system whereby a kind of small actuator is installed on the\nroof of an ultra-compact electric vehicle. In this paper, we consider the noise control effects of using a\ngiant magnetostrictive actuator and conduct an experimental study on feed-forward and feedback\ncontrol systems....
This paper addresses the problem of adaptive power control based on outage probability minimization in Vehicular Ad Hoc\nNetworks (VANETs), called a Power Control Algorithm Based on Outage Probability Awareness (PC-OPA). Unlike most of the\nexisting works, our power control method aims at minimizing the outage probability and then is subject to the density of nodes\nin certain area. To fulfill power control, cumulative interference is assumed to be available at the transmitter of each terminal.\nThe transmitters sent data by maximum power and then get the cumulative interference-aware outage probability. Furthermore,\nwe build the interference model by stochastic geometric theory and then derive the expression between outage probability and\ncumulative interference. According to the expression, we adjust the transmitter power and optimize the outage probability.\nSimulation results are provided to demonstrate the effectiveness of the proposed power control strategies. It is shown that the PCOPA\ncan achieve a significant performance gain in terms of the outage probability and throughputs. ComparingMPC (Maximum\nPower Control algorithm) andWFPC (Water-Filled Power Control algorithm), the proposed PC-OPA decreased by 23% in terms\nof the outage probability and increased by 25% in terms of throughputs....
The connection of electric vehicles to distribution networks has been an emerging issue of\nparamount importance for power systems. On one hand, it provides new opportunities for climate\nchange mitigation, if electric energy used for charging is produced from zero emission sources.\nOn the other hand, it stresses networks that are now required to accommodate, in addition to the\nloads and production from distributed generation they are initially designed for, loads from electric\nvehicles charging. In order to achieve maximum use of the grid without substantially affecting its\nperformance, these issues have to be addressed in a coordinated manner, which requires adequate\nknowledge of the system under consideration. It is advantageous that electric vehicle charging can\nbe controlled to a certain degree. This research provides better understanding of real distribution\nnetworksâ?? operation, proposing specific operational points through minimizing electric vehicle\ncharging effects. The probabilistic Monte Carlo method on high performance computers is used for\nthe calculations....
Heavy-duty trucks are one of the main contributors to greenhouse gas emissions in German\ntraffic. Drivetrain electrification is an option to reduce tailpipe emissions by increasing energy\nconversion efficiency. To evaluate the vehicleâ??s environmental impacts, it is necessary to consider the\nentire life cycle. In addition to the daily use, it is also necessary to include the impact of production\nand disposal. This study presents the comparative life cycle analysis of a parallel hybrid and a\nconventional heavy-duty truck in long-haul operation. Assuming a uniform vehicle glider, only the\ndiffering parts of both drivetrains are taken into account to calculate the environmental burdens\nof the production. The use phase is modeled by a backward simulation in MATLAB/Simulink\nconsidering a characteristic driving cycle. A break-even analysis is conducted to show at what\nmileage the larger CO2eq emissions due to the production of the electric drivetrain are compensated.\nThe effect of parameter variation on the break-even mileage is investigated by a sensitivity analysis.\nThe results of this analysis show the difference in CO2eq/t km is negative, indicating that the hybrid\nvehicle releases 4.34 g CO2eq/t km over a lifetime fewer emissions compared to the diesel truck.\nThe break-even analysis also emphasizes the advantages of the electrified drivetrain, compensating\nthe larger emissions generated during production after already a distance of 15,800 km (approx.\n1.5 months of operation time). The intersection coordinates, distance, and CO2eq, strongly depend\non fuel, emissions for battery production and the driving profile, which lead to nearly all parameter\nvariations showing an increase in break-even distance....
The next generation of the Volt vehicle with the new â??Voltecâ? extended-range propulsion\nsystem was introduced into the market in 2016. The second-generation Voltâ??s powertrain architecture\nprovides five modes of operation, including two electric vehicle operations and three extended-range\noperations. Vehicle testing was performed on a chassis dynamometer set within a thermal chamber\nat the Advanced Powertrain Research Facility at Argonne National Laboratory. The study first\nfocused on assessing the improvement of the new Voltec system by comparing the system efficiency\nwith the previous system. Second, control behavior and performance were analyzed under normal\nambient temperature to understand the supervisory control strategy on the Voltec system based\non the test data. The analysis focused on the engine on/off strategy, powertrain operation mode,\nenergy management, and engine operating conditions. Third, test data from the control analysis were\nused to summarize the vehicle control logic....
Loading....