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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Information Fusion for Intelligent EV Charging-Discharging-Storage Integrated Station
verfasst von : Guangning Su, Da Xie, Yusheng Xue, Chen Fang, Yu Zhang, Kang Li
Erschienen in: Intelligent Computing in Smart Grid and Electrical Vehicles
Verlag: Springer Berlin Heidelberg
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According to the distribution of information flow in the integrated EV station, the detailed parameters of the station and car terminals can be obtained through the monitoring and control system. Radio frequency identification is used to collect data from battery system of electric vehicles, combined with IOT (internet of things) and GPS, the information of batteries can be acquired quickly and accurately. Moreover, the state of batteries can be diagnosed and faults be handled timely. Based on the collection of above parameters of the integrated station and the grid, the grid-connected control strategy is proposed according to the grid state and energy flow of the integrated station. The experimental result suggests that the grid-connected control strategy based on information fusion can help to implement peak load shifting effectively and timely, and provide energy flow support when the grid is in a heavy-loaded state so it can restore to its normal state.