基于神经网络的电动汽车锂离子电池充电状态估计

2022 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA) Pub Date : 2022-11-04 DOI:10.1109/ISPCE-ASIA57917.2022.9971063

C. C. Lee, Panpan Hu, C. Y. Li, S. Wang

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引用次数: 1

摘要

近年来，锂离子电池在电动汽车上得到了广泛的应用。准确估算电动汽车电池的荷电状态(SOC)对延长电池寿命具有重要意义。当然，对于电动汽车司机来说，处理里程焦虑也很重要。本文重点综述了神经网络算法在电动汽车电池荷电状态估计中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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State of Charge Estimation of the Lithium-ion Battery based on Neural Network in Electric Vehicles

In recent years, Lithium-ion batteries have been widely applied in electric vehicles (EVs). The accurate estimation of state of charge (SOC) of EV battery is important for prolonging the battery life. Surely, it is also important for the EV drivers to handle the range anxiety. In this paper, we focus on reviewing applications of neural network algorithms in SOC estimation of EVs' batteries.

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2022 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA)

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