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Information Fusion Applied in EV's Intelligent Integrated Station

机译：信息融合应用于EV的智能集成站

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摘要

The dispatching center in the intelligent integrated station (IIS) collects multi-source information flow such as operating information of electric vehicles (EVs), energy level of the IIS, grid loading level, and power flow between the IIS and the grid. To achieve better management for the energy exchange between the IIS and the grid, this paper applies information fusion technology to the control of IIS. The Boyd's Observe-Orient-Decide-Act (OODA) process model is introduced to estimate and analyze the multi-source information flow inside and outside the IIS. Two issues associated with the operation of the IIS are studied: (i) the power flow between the IIS and the grid considering operating information of the IIS and the grid; (ii) the charging/discharging order of batteries considering batteries information to assure the number of full-capacity batteries and prolong the battery life. Simulation results suggest that the proposed control strategy based on OODA allows significant improvements in both the user satisfaction and economic operation of the power grid.
机译：智能集成站（IIS）中的调度中心收集多源信息流程，例如电动车辆（EVS），IIS的能级，电网装载水平和IIS和网格之间的功率流的操作信息。为了实现IIS和网格之间的能量交换的更好管理，本文将信息融合技术应用于IIS的控制。介绍Boyd的观察方向决定（OODA）流程模型估计和分析IIS内外的多源信息流。研究了与IIS的操作相关的两个问题：（i）考虑IIS和网格的操作信息，IIS与网格之间的功率流; （ii）电池的充电/放电顺序考虑电池信息，以确保全容量电池的数量并延长电池寿命。仿真结果表明，基于OOTA的建议控制策略允许对电网的用户满意度和经济运行进行显着改进。

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