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A LiFePO4 battery discharge simulator for EV applications — Part 2: Developing the battery simulator

机译:用于电动汽车的LiFePO 4 电池放电模拟器—第2部分:开发电池模拟器

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This paper, the second of the series on developing a LiFePO (LFP) battery discharge simulator for EV applications, presents an approach for developing the battery simulator. After the optimal battery model was established, in the first paper, the main drawbacks of battery simulator are addressed and a new strategy is proposed. This strategy uses neural networks (NN) for online estimation of the battery parameters during discharge. The proposed simulator is validated by comparisons with a typical simulator and data from a LFP battery submitted to discharge profile in concordance with a driving cycle.
机译:本文是针对电动汽车应用开发LiFePO(LFP)电池放电模拟器的系列文章中的第二篇,提出了一种开发电池模拟器的方法。建立最佳电池模型后,本文首先解决了电池模拟器的主要弊端,并提出了一种新的策略。该策略使用神经网络(NN)在线估计放电过程中的电池参数。通过与典型模拟器进行比较,并根据行驶周期将LFP电池中的数据提交至放电曲线,从而验证了拟议的模拟器。

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