Quick charging station capacity planning method based on Markov charging requirement analysis model of electric car
A car markov, electric car technology, used in data processing applications, instruments, calculations, etc.
Active Publication Date: 2017-08-18
ZHEJIANG UNIV
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Problems solved by technology
However, the charging demand of electric vehicles has strong randomness and uncertainty. Only based on accurate analysis of electric vehicle charging demand can the planning of electric vehicle charging stations be done well.
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[0044] specific implementation plan
[0045] Below in conjunction with example the present invention is described in further detail:
[0046] In step (1), electric vehicles are divided into two categories according to their uses: commuter electric vehicles (C-PEV) and non-commuter electric vehicles (O-PEV); For commuting to and from get off work, the non-commuting electric vehicles are vehicles for other purposes; the proportions of the two types of electric vehicles can be obtained from the existing survey data, which are 61% and 39% respectively;
[0047] Step (2), obtain the battery parameter of electric vehicle; Described battery parameter comprises: battery capacity C bat , Power consumption E per kilometer c , Charging power P in normal charging mode n-ch and fast charging mode charging power P f-ch ; Among them, the battery capacity C bat Conforms to normal distribution, mean value 28.5kWh, standard deviation 14.7, maximum value 72.0kWh, minimum value 10.0kWh; power...
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The invention discloses a quick charging station capacity planning method based on a Markov charging requirement analysis model of an electric car. The method comprises the following steps that through the analysis of electric car driving behaviors, dividing the electric car driving behaviors into four states, and utilizing a Monte Carlo simulation method to establish an electric car state model; combining with a Markov model to predict the charging probability and the charging load of the electric car in any time period; synthesizing various factors including the waiting cost of the electric car and the like to obtain a relationship between the economic benefit of a charging station and the amount of charging and waiting positions configured by the charging station; and solving to obtain an optimal amount of charging piles and waiting positions. By use of the method, on the basis of existing electric car driving behavior survey data, a detailed algorithm description is given. According to the existing survey data, a series of experiments proves the effectiveness of the method which is put forward on an aspect of balancing the service efficiency and the economic benefit of the quick charging station of the electric car.
Description
technical field [0001] The invention relates to the problem of capacity planning of an electric vehicle charging station, in particular to a method for capacity planning of a fast charging station based on an electric vehicle Markov charging demand analysis model. Background technique [0002] With the rapid development of the economy, the problems of resource scarcity and environmental pollution are becoming more and more serious. The current huge automobile market is exacerbating the consumption of resources and adding more pressure to the urban environment. Electric vehicles are becoming the main development direction of the automobile industry because of their energy-saving and environmental protection features. With the support of national policies and the active participation of major automobile manufacturers, the technical level of electric vehicles is increasing day by day. At present, some electric vehicle products have been formed and put into demonstration opera...
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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/06315G06Q50/06
Inventor 杨强孙思扬颜秉晶颜文俊
Owner ZHEJIANG UNIV