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Estimation of Battery Health State
Author(s): 
Pages: 91-95
Year: Issue:  1
Journal: Journal of Hebei Institute of Technology(Natural Science Edition)

Keyword:  电池SOHElman神经网络遗传蚁群算法Advisor2002软件;
Abstract: 电池健康状态(SOH)精准的预估有利于实时监测单体电池的健康信息,为自身的故障诊断提供可靠保障,提高电池组的整体寿命和动力性能.选用遗传与蚁群的混合算法(GAAA)对Elman神经网络进行改进,并利用Matlab仿真平台进行实验,在Advisor2002汽车仿真软件上搭建整车模型,获取样本数据,实验大大提高了预测的精度与速度.
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