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A method and system for predicting the capacity of a vehicle battery using a cooperative model

机译:使用协同模型预测车辆电池容量的方法和系统

摘要

A method comprising: collecting vehicle health status data from multiple vehicles (10) over a wireless network (52); using a processor to: identify a reference group among the plurality of vehicles (10); andreceiving the collected vehicle health status data from the reference group into a cooperative model for the vehicle health state, wherein the cooperative vehicle health state model is applicable to a current vehicle to predict a state of at least one component of the current vehicle, wherein the cooperative model is a battery age model for predicting the capacity is the battery (26) of the current vehicle having the form C (t) = C; where C (t) is the capacity of the battery (26) as a function of time t, C is the nominal capacity of the battery (26); t) is a weighted throughput of the battery (26) as a function of time, representing a standard throughput and being an adjustable parameter; and wherein values for the adjustable parameter c and the adjustable weights included in the weighted throughput Z (t) are obtained by analyzing the collected vehicle health status data.
机译:一种方法,包括:通过无线网络(52)从多个车辆(10)收集车辆健康状态数据;使用处理器:在多个车辆中识别参考组(10);从参考组收集的车辆健康状态数据接收到用于车辆健康状态的合作模型,其中,该合作车辆健康状态模型可应用于当前车辆,以预测当前车辆的至少一个组件的状态,其中协作模型是用于预测容量的电池寿命模型,即当前车辆的电池(26)的形式为C(t)= C;其中C(t)是电池(26)的容量与时间t的函数,C是电池(26)的标称容量; t)是电池(26)作为时间的函数的加权吞吐量,代表标准吞吐量,并且是可调参数;其中,通过分析收集到的车辆健康状况数据,获得加权吞吐量Z(t)中包含的可调参数c和可调权重的值。

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