不同电动汽车电池组低温性能及智能SOC实验分析

2021 13th International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2021-05-14 DOI:10.1109/ICACI52617.2021.9435901

Le Gao, L. Cai, Yuming Feng, N. Dai, Qingshan Xu

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引用次数: 1

摘要

本文总结了低温下电动汽车电池组SOC (State of charge)估算方法，分析了电动汽车常用电池组的性能以及低温对其的影响，介绍了传统的SOC估算方法和新兴的低温智能提升算法，并总结了它们的优缺点。结合智能算法和电池模型，展望了低温下电池组荷电状态估计的发展前景。

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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Performance of different Electric vehicle Battery packs at low temperature and Analysis of Intelligent SOC experiment

This manuscript summarizes the SOC (State of charge) estimation methods of electric vehicle battery packs at low temperature, analyzes the performance of common battery packs of electric vehicle and the influence of low temperature, introduces the traditional SOC estimation method and the emerging cryogenic intelligent lifting algorithms, and summarizes their advantages and disadvantages. Combined with intelligent algorithm and battery model, the development of SOC estimation of battery packs at low temperature is prospected.

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2021 13th International Conference on Advanced Computational Intelligence (ICACI)

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