State of health estimation for lithium-ion batteries based on incremental capacity analysis under slight overcharge voltage
Accurate and reliable estimation of state of health (SOH) for lithium-ion batteries under slight overcharge voltage cycling has great significance for battery management systems. In this study, commercial lithium-ion phosphate batteries are investigated under slight overcharge voltage cycling. The a...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-09-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1001505/full |
| _version_ | 1828236712718893056 |
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| author | Min Ye Meng Wei Meng Wei Qiao Wang Gaoqi Lian Yuchuan Ma |
| author_facet | Min Ye Meng Wei Meng Wei Qiao Wang Gaoqi Lian Yuchuan Ma |
| author_sort | Min Ye |
| collection | DOAJ |
| description | Accurate and reliable estimation of state of health (SOH) for lithium-ion batteries under slight overcharge voltage cycling has great significance for battery management systems. In this study, commercial lithium-ion phosphate batteries are investigated under slight overcharge voltage cycling. The aging mechanism is discussed based on incremental capacity analysis and differential voltage analysis. Moreover, the syncretic health indicator is obtained from the incremental capacity curves based on principal component analysis. Specifically, the capacity retention and Coulombic efficiency are analyzed under slight overcharge voltage cycling. The incremental capacity peaks (i.e., peak B and peak C) are discussed to extract potential health indicators, and a syncretic health indicator is adopted based on principal component analysis. Finally, the Gaussian process regression is established for accuracy SOH estimation with a 95% confidence interval under small data of slight overcharge cycling. In comparison with the traditional methods, the proposed method exhibits higher accuracy with a 95% confidence interval, and the error is limited to 3%. |
| first_indexed | 2024-04-12T20:37:10Z |
| format | Article |
| id | doaj.art-99ccff28e1ce4fcd9f6368e5189ca417 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-12T20:37:10Z |
| publishDate | 2022-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-99ccff28e1ce4fcd9f6368e5189ca4172022-12-22T03:17:32ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-09-011010.3389/fenrg.2022.10015051001505State of health estimation for lithium-ion batteries based on incremental capacity analysis under slight overcharge voltageMin Ye0Meng Wei1Meng Wei2Qiao Wang3Gaoqi Lian4Yuchuan Ma5National Engineering Laboratory for Highway Maintenance Equipment, Chang’an University, Xi’an, ChinaNational Engineering Laboratory for Highway Maintenance Equipment, Chang’an University, Xi’an, ChinaDepartment of Mechanical Engineering, National University of Singapore, Singapore, SingaporeNational Engineering Laboratory for Highway Maintenance Equipment, Chang’an University, Xi’an, ChinaNational Engineering Laboratory for Highway Maintenance Equipment, Chang’an University, Xi’an, ChinaNational Engineering Laboratory for Highway Maintenance Equipment, Chang’an University, Xi’an, ChinaAccurate and reliable estimation of state of health (SOH) for lithium-ion batteries under slight overcharge voltage cycling has great significance for battery management systems. In this study, commercial lithium-ion phosphate batteries are investigated under slight overcharge voltage cycling. The aging mechanism is discussed based on incremental capacity analysis and differential voltage analysis. Moreover, the syncretic health indicator is obtained from the incremental capacity curves based on principal component analysis. Specifically, the capacity retention and Coulombic efficiency are analyzed under slight overcharge voltage cycling. The incremental capacity peaks (i.e., peak B and peak C) are discussed to extract potential health indicators, and a syncretic health indicator is adopted based on principal component analysis. Finally, the Gaussian process regression is established for accuracy SOH estimation with a 95% confidence interval under small data of slight overcharge cycling. In comparison with the traditional methods, the proposed method exhibits higher accuracy with a 95% confidence interval, and the error is limited to 3%.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1001505/fulllithium-ion batteriesslight overchargestate of healthaging mechanismincremental capacity analysis |
| spellingShingle | Min Ye Meng Wei Meng Wei Qiao Wang Gaoqi Lian Yuchuan Ma State of health estimation for lithium-ion batteries based on incremental capacity analysis under slight overcharge voltage Frontiers in Energy Research lithium-ion batteries slight overcharge state of health aging mechanism incremental capacity analysis |
| title | State of health estimation for lithium-ion batteries based on incremental capacity analysis under slight overcharge voltage |
| title_full | State of health estimation for lithium-ion batteries based on incremental capacity analysis under slight overcharge voltage |
| title_fullStr | State of health estimation for lithium-ion batteries based on incremental capacity analysis under slight overcharge voltage |
| title_full_unstemmed | State of health estimation for lithium-ion batteries based on incremental capacity analysis under slight overcharge voltage |
| title_short | State of health estimation for lithium-ion batteries based on incremental capacity analysis under slight overcharge voltage |
| title_sort | state of health estimation for lithium ion batteries based on incremental capacity analysis under slight overcharge voltage |
| topic | lithium-ion batteries slight overcharge state of health aging mechanism incremental capacity analysis |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1001505/full |
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