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MULTI-STEP MODEL PREDICTIVE ITERATIVE TECHNIQUES FOR BATTERY SYSTEM PEAK POWER ESTIMATION

机译:电池系统峰值功率估计的多步模型预测迭代技术

摘要

An electrified vehicle and method for estimating peak power of a battery system of the electrified vehicle are presented. In one exemplary implementation, the method includes receiving, at a controller of the electrified vehicle, measured current, voltage, and temperature of the battery system and determining, at the controller, operating parameters for the battery system based on the measured current, voltage, and temperature. An initial peak current at a start of a current prediction period for the battery system is determined, at the controller, based on the operating parameters, and an instantaneous peak current of the battery system is determined based on its initial peak current by performing voltage-limited extrapolation of resistances and open-circuit voltage (VLERO) of a battery model for the battery system. The battery system and an electric motor of the electrified vehicle are controlled, by the controller, based on the instantaneous peak current.
机译:提出了一种电动车辆和用于估计电动车辆的电池系统的峰值功率的方法。在一个示例性实施方式中,该方法包括:在电动车辆的控制器处接收电池系统的测量的电流,电压和温度,并在控制器处基于所测量的电流,电压,电池组的电压来确定电池系统的工作参数。和温度。根据操作参数,在控制器上确定电池系统的电流预测周期开始时的初始峰值电流,并通过执行电压操作,根据其初始峰值电流确定电池系统的瞬时峰值电流。电池系统的电池模型的电阻和开路电压(VLERO)的有限外推法。控制器基于瞬时峰值电流来控制电动车辆的电池系统和电动机。

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