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REAL-ROAD DRIVING AND FUEL CONSUMPTION CHARACTERISTICS OF PUBLIC BUSES IN SOUTHERN CHINA
Hanzhengnan Yu,Yu Liu,Jingyuan Li,Hai Liu,Kunqi Ma 한국자동차공학회 2020 International journal of automotive technology Vol.21 No.1
In this paper, the annual data of 40 public buses fueled with diesel in four cities in southern China have been analyzed for investigating the driving and fuel consumption characteristics. Results showed that the best traffic condition and smoothest driving style were obtained in Fuzhou, which was exact opposite to the results in Wuhan. And the driving characteristics of each city was weakly affected by the season’s variation. The fuel consumption characteristics of the public buses in different cities were studied by the method based on VSP (Vehicle Specific Power) model, and the fuel consumption factors in different cities and seasons have been given. The main factors influenced the fuel consumption characteristics could be summarized by the variations of driving characteristics and air conditioning using. The high fuel consumption was concentrated in region with low vehicle velocity range of 0 ~ 10 km/h, and the proportion of this vehicle range directly affected the average fuel consumption level. The effect of the air conditioning using on fuel consumption was especially obvious in summer and winter, and the using of air conditioning would increase about 10 % of the total vehicle fuel consumption.
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Zhang Hao,Liu Yu,Li Jingyuan,Yu Hanzhengnan,Xu Hang,Ma Kunqi,Liang Yongkai,An Xiaopan,Hu Xi 한국자동차공학회 2023 International journal of automotive technology Vol.24 No.5
Under the background that electric vehicles cause enormous supply pressure on the grid, the application of vehicle-to-grid (V2G) technology can effectively alleviate supply pressure and also bring more economic benefits. Considering conditions for participating in V2G, pure electric logistics fleets have the advantages of stable work end time and large remaining power. In this paper, the economic benefits of the pure electric logistics fleet participating in V2G and the influence factors of the V2G profit are studied. Firstly, the travel data of a pure electric logistics fleet in Chengdu, China is collected. Secondly, the V2G profit model is established to quantify the economic benefits. Then, 4 V2G scenario modes are proposed based on window duration, window start time, SOC lower limit and discharge price. Finally, the change law and influence factors of the V2G profit in each V2G scenario mode are studied from the perspective of the discharge revenue, charge cost and battery loss cost. The results show that the V2G profit increases with the extension of window duration, the delay of window start time, the decrease of SOC lower limit and the increase of discharge price. The average profit of logistics fleets ranges from 3.94 RMB/(vehicleday) to 65.54 RMB/(vehicleday).
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