The invention discloses an SOF multi-parameter characterization and estimation method which is based on performance demand prediction and can more reasonably evaluate functional characteristics of a power battery system of a pure electric vehicle in real time. The SOF multi-parameter characterization and estimation method is used for evaluating the satisfaction level of the power/energy state of a current power battery on the dynamic property and the mileage function of the planned mileage of the vehicle. The method comprises the following steps: 1) for a pure electric vehicle platform, defining a multi-parameter characterization method of a pure electric vehicle power battery function state S0F; 2) predicting and estimating an energy state SOE and a power state SOP of a power battery system and power and mileage characteristics of the pure electric vehicle based on working conditions; and 3) providing the SOF estimation method for the functional state of the power battery of the pure electric vehicle by combining the equivalent circuit model of the power battery, Kalman filtering and other algorithms. According to the method, power battery function state SOF characterization and pure electric vehicle performance demand prediction are combined, and the method has good engineering and application values for more reasonably characterizing the SOF of the power battery system of the pure electric vehicle.
本发明公开了一种基于性能需求预测的更能实时合理评价纯电动汽车动力电池系统功能特性的SOF多参数表征与估计方法,用以评价当前动力电池的功率/能量状态对车辆规划里程的动力性和里程功能的满足水平。1)面向纯电动汽车平台,定义纯电动汽车动力电池功能状态S0F的多参数表征方法;2)基于工况预测估计动力电池系统能量状态SOE与功率状态SOP以及纯电动汽车动力及里程特性;3)结合动力电池等效电路模型以及卡尔曼滤波等算法给出了一种纯电动汽车动力电池的功能状态SOF估计方法。本发明将动力电池功能状态SOF表征与纯电动汽车性能需求预测相结合,对于更合理化表征纯电动汽车动力电池系统SOF具有较好的工程与应用价值。
SOF multi-parameter characterization and estimation method for power battery system of electric vehicle
一种电动汽车动力电池系统SOF多参数表征与估计方法
2022-12-30
Patent
Electronic Resource
Chinese
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