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: | , , , , , |
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| Format: | Article |
| Language: | zho |
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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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| _version_ | 1849224826037731328 |
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| author | YANG Jiejun WEN Jianfeng WANG Quan HUANG He LIU Yuan HUANG Hao |
| author_facet | YANG Jiejun WEN Jianfeng WANG Quan HUANG He LIU Yuan HUANG Hao |
| author_sort | YANG Jiejun |
| collection | DOAJ |
| description | 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 sequential learning study is improved and the SOC estimate accuracy by self-adaption of battery working states is enhanced. A 5Ah lithium iron phosphate cylindrical battery was studied and tested in this paper, such as the relationship between voltage and the SOC of the battery at different temperatures and different discharge currents. Theoretical analysis and experimental results verify the effectiveness of this method. |
| format | Article |
| id | doaj-art-c48f145076f048d082b9cd65406a54a1 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2019-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-c48f145076f048d082b9cd65406a54a12025-08-25T06:53:22ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272019-01-0136273082321750SOC Estimation of LiFePO4 Power Battery Based on OSELMYANG JiejunWEN JianfengWANG QuanHUANG HeLIU YuanHUANG HaoAiming 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 sequential learning study is improved and the SOC estimate accuracy by self-adaption of battery working states is enhanced. A 5Ah lithium iron phosphate cylindrical battery was studied and tested in this paper, such as the relationship between voltage and the SOC of the battery at different temperatures and different discharge currents. Theoretical analysis and experimental results verify the effectiveness of this method.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.05.100sequential learning machinestate of chargepower batteryartificial intelligence |
| spellingShingle | YANG Jiejun WEN Jianfeng WANG Quan HUANG He LIU Yuan HUANG Hao SOC Estimation of LiFePO4 Power Battery Based on OSELM Kongzhi Yu Xinxi Jishu sequential learning machine state of charge power battery artificial intelligence |
| title | SOC Estimation of LiFePO4 Power Battery Based on OSELM |
| title_full | SOC Estimation of LiFePO4 Power Battery Based on OSELM |
| title_fullStr | SOC Estimation of LiFePO4 Power Battery Based on OSELM |
| title_full_unstemmed | SOC Estimation of LiFePO4 Power Battery Based on OSELM |
| title_short | SOC Estimation of LiFePO4 Power Battery Based on OSELM |
| title_sort | soc estimation of lifepo4 power battery based on oselm |
| topic | sequential learning machine state of charge power battery artificial intelligence |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.05.100 |
| work_keys_str_mv | AT yangjiejun socestimationoflifepo4powerbatterybasedonoselm AT wenjianfeng socestimationoflifepo4powerbatterybasedonoselm AT wangquan socestimationoflifepo4powerbatterybasedonoselm AT huanghe socestimationoflifepo4powerbatterybasedonoselm AT liuyuan socestimationoflifepo4powerbatterybasedonoselm AT huanghao socestimationoflifepo4powerbatterybasedonoselm |