Method for predicting available capacity of EV power battery cluster
A technology for power batteries and electric vehicles, which is applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., and can solve problems such as inability to provide predictions.
Active Publication Date: 2014-01-08
ZHEJIANG UNIV OF TECH
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Problems solved by technology
[0004] The present invention overcomes the disadvantage that the existing technology cannot provide predictions for the V2G available capacity of large-scale EV clusters, and provides a method for participating in V2G services that considers the use of EV power batteries as energy storage components to participate in power grid regulation based on V2G technology. Real-time probabilistic available capacity prediction method for EV power battery cluster
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[0055] Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but the embodiment of the present invention is not limited thereto. The overall block diagram of the real-time probabilistic available capacity prediction scheme of the power battery cluster participating in the V2G service in the embodiment is shown in the attached figure 1 shown, including the following steps:
[0056] 1) Define the concept of "V2G available capacity" of EV power battery: it refers to the allowable charging and discharging capacity that EV power battery can provide to the grid when it participates in V2G services. This concept is used to characterize the dynamic power balance capability of the EV power battery as an energy storage element for the power grid. Therefore, it can be divided into two indicators: "V2G discharge available capacity" and "V2G charge available capacity".
[0057] 2) Deduce the battery capacity change of EV power...
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A method for predicting the available capacity of an EV power battery cluster includes the steps that the concept of the V2G available capacity of an EV power battery is defined; the charge and discharge S.O.C change law of the EV power battery is analyzed; the battery capacity change amount at the unit moment of the EV power battery cluster is deduced; a management mode of the EV power battery cluster of participating in a V2G service is determined; key influence factors of the probability available capacity of the EV battery cluster are analyzed; probability distribution models of the influence factors are constructed; capacity change amount probability distribution characteristics of the battery cluster in the running period are solved; the residual capacity of the battery cluster is determined; the V2G available capacity real-time probability predication value of the battery cluster is determined.
Description
technical field [0001] The invention relates to a method for predicting the real-time probabilistic V2G available capacity of electric vehicle power battery clusters participating in Vehicle-to-grid (V2G) services. Background technique [0002] In recent years, electric vehicles (Electric Vehicle, EV) are rapidly entering the automobile market. According to the "Energy Saving and New Energy Vehicle Development Plan (2011-2020)", EVs will reach 500,000 in 2015 and 5 million in 2020. Since EVs are equipped with large-capacity vehicle-mounted power batteries, when the number is sufficient, the total capacity of the battery cluster is quite large. According to statistics, most cars are parked for about 22 hours a day, and more than 80% of them are parked even during peak hours. Consider allowing them to provide energy buffers for the grid when they are parked. The V2G model is proposed based on solving the above problems: on the one hand, the EV battery cluster can be regarded...
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IPC IPC(8): G01R31/36
Inventor 翁国庆章欢张有兵周文委谢路耀
Owner ZHEJIANG UNIV OF TECH