A fast charging station capacity planning method based on the Markov charging demand analysis model of electric vehicles
A car markov, electric car technology, used in data processing applications, instruments, calculations, etc.
Active Publication Date: 2021-05-07
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 fast charging station capacity planning method based on an electric vehicle Markov charging demand analysis model. This method analyzes the driving behavior of electric vehicles, divides the driving behavior of electric vehicles into four states, and uses the Monte Carlo simulation method to establish the state model of electric vehicles; combined with the Markov model, predicts the charging probability of electric vehicles in any time period And the charging load; integrating various factors such as the waiting cost of electric vehicles, the relationship between the economic benefits of the charging station and the number of charging and waiting positions configured; the optimal number of charging piles and waiting positions can be obtained by solving. Based on the existing investigation data of electric vehicle driving behavior, the present invention provides a detailed algorithm description. According to the existing investigation data, a series of experiments prove that the proposed method can balance the service efficiency of electric vehicle fast charging stations. effectiveness in terms of economic returns.
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