ARIMA Based Research on Cell Inconsistency Prediction of Power Battery
Cell inconsistency affects battery life and driving safety. In order to solve the accuracy problem of cell inconsistency prediction of power battery, a health indicator(HI) was constructed to reflect the degradation trends of cell inconsistency in the time dimension based on massive historical data...
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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.2096-5427.2019.05.018 |
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| _version_ | 1849224720317153280 |
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| author | SONG Chao XIONG Gang XIE Yongbo WANG Wenming |
| author_facet | SONG Chao XIONG Gang XIE Yongbo WANG Wenming |
| author_sort | SONG Chao |
| collection | DOAJ |
| description | Cell inconsistency affects battery life and driving safety. In order to solve the accuracy problem of cell inconsistency prediction of power battery, a health indicator(HI) was constructed to reflect the degradation trends of cell inconsistency in the time dimension based on massive historical data of the vehicle network platform, and health indicator time series were extracted based on the segmentation interval of SOC. Considering the fluctuation of the health indicator after a long time, a ARIMA model was introduced for small sample prediction, only using the health indicator time series in recent several discharge conditions. The prediction results show that the method requires less training samples and less hardware resources, and the overall prediction accuracy is not less than 90%, which can meet the practical requirements. |
| format | Article |
| id | doaj-art-3d8dc3bcc2144df4bcecc5d6cbabb2ec |
| 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-3d8dc3bcc2144df4bcecc5d6cbabb2ec2025-08-25T06:54:25ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272019-01-0136828782327741ARIMA Based Research on Cell Inconsistency Prediction of Power BatterySONG ChaoXIONG GangXIE YongboWANG WenmingCell inconsistency affects battery life and driving safety. In order to solve the accuracy problem of cell inconsistency prediction of power battery, a health indicator(HI) was constructed to reflect the degradation trends of cell inconsistency in the time dimension based on massive historical data of the vehicle network platform, and health indicator time series were extracted based on the segmentation interval of SOC. Considering the fluctuation of the health indicator after a long time, a ARIMA model was introduced for small sample prediction, only using the health indicator time series in recent several discharge conditions. The prediction results show that the method requires less training samples and less hardware resources, and the overall prediction accuracy is not less than 90%, which can meet the practical requirements.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.05.018power batterycell inconsistencyARIMA modelhealth factor time seriesbattery managementvehicle network |
| spellingShingle | SONG Chao XIONG Gang XIE Yongbo WANG Wenming ARIMA Based Research on Cell Inconsistency Prediction of Power Battery Kongzhi Yu Xinxi Jishu power battery cell inconsistency ARIMA model health factor time series battery management vehicle network |
| title | ARIMA Based Research on Cell Inconsistency Prediction of Power Battery |
| title_full | ARIMA Based Research on Cell Inconsistency Prediction of Power Battery |
| title_fullStr | ARIMA Based Research on Cell Inconsistency Prediction of Power Battery |
| title_full_unstemmed | ARIMA Based Research on Cell Inconsistency Prediction of Power Battery |
| title_short | ARIMA Based Research on Cell Inconsistency Prediction of Power Battery |
| title_sort | arima based research on cell inconsistency prediction of power battery |
| topic | power battery cell inconsistency ARIMA model health factor time series battery management vehicle network |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.05.018 |
| work_keys_str_mv | AT songchao arimabasedresearchoncellinconsistencypredictionofpowerbattery AT xionggang arimabasedresearchoncellinconsistencypredictionofpowerbattery AT xieyongbo arimabasedresearchoncellinconsistencypredictionofpowerbattery AT wangwenming arimabasedresearchoncellinconsistencypredictionofpowerbattery |