SOC Estimation of LiFePO4 Power Battery Based on OSELM

Aiming at the problem that the SOC estimation accuracy of LiMPO4 power battery is hardly acceptable, this paper presented a SOC predictive model based on online sequential extreme learning machine (OSELM). The fast training property of the OSELM is leveraged so that the generalization of the online...

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Bibliographic Details
Main Authors: YANG Jiejun, WEN Jianfeng, WANG Quan, HUANG He, LIU Yuan, HUANG Hao
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2019-01-01
Series:Kongzhi Yu Xinxi Jishu
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Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.05.100
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