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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| 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
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.05.100 |
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