Research of interactive charging strategy for electrical vehicles in smart grids

机译：智能电网中电动汽车的交互式充电策略研究

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In this paper, an interactive charging strategy between Electric Vehicles (EVs) and grid is proposed to minimize the main grid load factor and improve the power quality of the system. This strategy optimizes charging schedule in Electric Vehicles to minimize cost, enhances grid stability, and sets the optimal battery charging rate within the electrical limits of the battery. In this interactive strategy, the paper adopts an interpolated FFT algorithm to measure the power system frequency and fuzzy control technology to realize the battery smart charging. In order to ensure the implement of the coordinated charging control, two-way wireless communication network based on ZigBee and GPRS technology is established. The success of this charging strategy can be an important theoretical meaning and promotional value for EV.

机译：在本文中，提出了电动汽车和电网之间的交互式充电策略，以最小化主电网负载因子并提高系统的电能质量。该策略优化了电动汽车的充电时间表，以最大程度地降低成本，增强电网稳定性并在电池的电气极限内设置最佳电池充电率。在这种交互式策略中，本文采用插值FFT算法测量电力系统的频率，并采用模糊控制技术来实现电池的智能充电。为了保证协调收费控制的实现，建立了基于ZigBee和GPRS技术的双向无线通信网络。这种充电策略的成功可能对电动汽车具有重要的理论意义和推广价值。

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《2011 International Conference on Electrical Machines and Systems》|2011年|p.1-6|共6页
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Han Huachun; Xu Haiping; Yuan Zengquan;
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中图分类电机;
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3. A Decision Function Based Smart Charging and Discharging Strategy for Electric Vehicle in Smart Grid [J] . Tang Qiang, Xie Mingzhong, Yang Kun, Mobile networks & applications . 2019,第5期

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机译：车辆到电网实施方案及其双层最佳充电策略，可最大程度地降低区域智能电网内的负载变化

Research of interactive charging strategy for electrical vehicles in smart grids

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