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NEURAL NETWORK-BASED BATTERY CAPACITY ESTIMATION METHOD AND DEVICE

机译:基于神经网络的电池容量估计方法和装置

摘要

The present invention relates to a neural network-based battery capacity estimation method and device, and provides a method for training a neural network in a computing device for constant-current charge-based battery capacity estimation, the method comprising the steps of: collecting the remaining capacities of a battery from an arbitrary charge starting point to a point when a maximum voltage is reached during charging; and inputting the collected remaining capacities to the neural network to train the neural network.
机译:本发明涉及一种基于神经网络的电池容量估计方法和装置,并提供一种用于在计算设备中训练神经网络的方法,用于恒定电流电池的电池容量估计,该方法包括以下步骤:收集 在充电期间达到最大电压时,电池从任意电荷起点到点的剩余容量; 并将收集的剩余容量输入神经网络训练神经网络。

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