Remaining useful life prognostics of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression
Lithium battery has been widely applied as new energy to cope with pressures in both form environment and energy. The remaining useful life (RUL) prognostics of lithium-ion batteries have become more critical. Convenient battery life prediction allows early detection of performance deficiencies to h...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-01-01
|
| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1033039/full |
| _version_ | 1797960139516411904 |
|---|---|
| author | Zhiwei Chen Lianfeng Li Weiwei Cui Song Yang Yao Wang Dexin Wang |
| author_facet | Zhiwei Chen Lianfeng Li Weiwei Cui Song Yang Yao Wang Dexin Wang |
| author_sort | Zhiwei Chen |
| collection | DOAJ |
| description | Lithium battery has been widely applied as new energy to cope with pressures in both form environment and energy. The remaining useful life (RUL) prognostics of lithium-ion batteries have become more critical. Convenient battery life prediction allows early detection of performance deficiencies to help maintain the battery system promptly. This paper proposes a RUL prognostics model of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression. First, a new sampling rule is used to reconfigure the coordinates of degradation data of new batteries and truncated similar batteries. Then, the relationship between similar and new lithium-ion batteries is established by using the reconfiguration data. Moreover, a new RUL prognostics model based on a coordinate reconfiguration of degradation trajectory and multiple linear regression is established by considering the influence of time-varying factors, which can improve prediction accuracy with small sample data and significantly reduce product development time and cost. |
| first_indexed | 2024-04-11T00:41:43Z |
| format | Article |
| id | doaj.art-b2eedb38f7ef45b8af1f803ba91c78a7 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-11T00:41:43Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-b2eedb38f7ef45b8af1f803ba91c78a72023-01-06T04:59:34ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.10330391033039Remaining useful life prognostics of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regressionZhiwei Chen0Lianfeng Li1Weiwei Cui2Song Yang3Yao Wang4Dexin Wang5Unmanned System Research Institute, Northwestern Polytechnical University, Xi’an, ChinaChina Academy of Launch Vehicle Technology, Beijing, ChinaChina Academy of Launch Vehicle Technology, Beijing, ChinaChina Academy of Launch Vehicle Technology, Beijing, ChinaChina Academy of Launch Vehicle Technology, Beijing, ChinaChina Academy of Launch Vehicle Technology, Beijing, ChinaLithium battery has been widely applied as new energy to cope with pressures in both form environment and energy. The remaining useful life (RUL) prognostics of lithium-ion batteries have become more critical. Convenient battery life prediction allows early detection of performance deficiencies to help maintain the battery system promptly. This paper proposes a RUL prognostics model of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression. First, a new sampling rule is used to reconfigure the coordinates of degradation data of new batteries and truncated similar batteries. Then, the relationship between similar and new lithium-ion batteries is established by using the reconfiguration data. Moreover, a new RUL prognostics model based on a coordinate reconfiguration of degradation trajectory and multiple linear regression is established by considering the influence of time-varying factors, which can improve prediction accuracy with small sample data and significantly reduce product development time and cost.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1033039/fulllithium-ion batteryremaining useful lifecoordinate reconfigurationdegradation trajectoryprognostics |
| spellingShingle | Zhiwei Chen Lianfeng Li Weiwei Cui Song Yang Yao Wang Dexin Wang Remaining useful life prognostics of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression Frontiers in Energy Research lithium-ion battery remaining useful life coordinate reconfiguration degradation trajectory prognostics |
| title | Remaining useful life prognostics of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression |
| title_full | Remaining useful life prognostics of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression |
| title_fullStr | Remaining useful life prognostics of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression |
| title_full_unstemmed | Remaining useful life prognostics of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression |
| title_short | Remaining useful life prognostics of lithium-ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression |
| title_sort | remaining useful life prognostics of lithium ion batteries based on a coordinate reconfiguration of degradation trajectory and multiple linear regression |
| topic | lithium-ion battery remaining useful life coordinate reconfiguration degradation trajectory prognostics |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1033039/full |
| work_keys_str_mv | AT zhiweichen remainingusefullifeprognosticsoflithiumionbatteriesbasedonacoordinatereconfigurationofdegradationtrajectoryandmultiplelinearregression AT lianfengli remainingusefullifeprognosticsoflithiumionbatteriesbasedonacoordinatereconfigurationofdegradationtrajectoryandmultiplelinearregression AT weiweicui remainingusefullifeprognosticsoflithiumionbatteriesbasedonacoordinatereconfigurationofdegradationtrajectoryandmultiplelinearregression AT songyang remainingusefullifeprognosticsoflithiumionbatteriesbasedonacoordinatereconfigurationofdegradationtrajectoryandmultiplelinearregression AT yaowang remainingusefullifeprognosticsoflithiumionbatteriesbasedonacoordinatereconfigurationofdegradationtrajectoryandmultiplelinearregression AT dexinwang remainingusefullifeprognosticsoflithiumionbatteriesbasedonacoordinatereconfigurationofdegradationtrajectoryandmultiplelinearregression |