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Advanced Tracking Strategies for Charging Electric Vehicle Batteries

机译:电动汽车电池充电的高级跟踪策略

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Challenges and opportunities of integrating electric vehicles (EV) with an electric grid have been of great interest for the past few years. In order to integrate with an electric grid, a battery model of the EV should have adequate control mechanisms. In this paper, we consider a nonlinear model of a 2-RC battery. For optimal tracking of a reference terminal voltage, a closed-loop optimal control strategy is obtained by using the State-Dependent Riccati Equation (SDRE) technique with performance index to minimize the quadratic error between the reference and actual trajectories. Simulation results with a lithium-ion (li-ion) battery shows good tracking performance.
机译:在过去的几年中,将电动汽车(EV)与电网集成在一起的挑战和机遇备受关注。为了与电网集成,电动汽车的电池模型应具有适当的控制机制。在本文中,我们考虑了2-RC电池的非线性模型。为了对基准端子电压进行最佳跟踪,通过使用具有性能指标的状态相关Riccati方程(SDRE)技术来获得闭环最佳控制策略,以最大程度地减小基准和实际轨迹之间的二次误差。锂离子(锂离子)电池的仿真结果显示出良好的跟踪性能。

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