Research on life cycle SOC estimation method of lithium-ion battery oriented to decoupling temperature
The efficiency, safety, and durability of lithium-ion batteries serve as the focus of energy storage systems. Among them, the accurate estimation of State of Charge (SOC) in the whole life cycle and wide temperature range is currently a capacity bottleneck that must be surpassed. In light of this is...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472200587X |
| _version_ | 1797902038802104320 |
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| author | Yang Wu Hui Zhao Yongchao Wang Ran Li Yongqin Zhou |
| author_facet | Yang Wu Hui Zhao Yongchao Wang Ran Li Yongqin Zhou |
| author_sort | Yang Wu |
| collection | DOAJ |
| description | The efficiency, safety, and durability of lithium-ion batteries serve as the focus of energy storage systems. Among them, the accurate estimation of State of Charge (SOC) in the whole life cycle and wide temperature range is currently a capacity bottleneck that must be surpassed. In light of this issue, a joint estimation method of SOC and State of Health (SOH) based on Interacting Multiple Model (IMM) was proposed in this paper. Through the parallel filtering process of IMM, several battery models with different temperatures and aging degrees were established. The likelihood function was then used to calculate the model probability of a single model, and the state estimates of multiple single models were fused and outputted. Then, the accurate estimation of the SOC of the whole life cycle of the lithium-ion battery oriented to the decoupling temperature was realized. Finally, the proposed method was experimentally verified on two sets of battery data with different aging degrees and temperatures. The results show that the maximum errors of SOC estimation and capacity estimation are less than 2.27% and 3.43% respectively, which meets the needs of the industry. It is proved that the proposed method can achieve accurate tracking of battery SOC and real-time estimation of battery capacity. |
| first_indexed | 2024-04-10T09:11:28Z |
| format | Article |
| id | doaj.art-dab37c5ca45641338c592a10e23f2fab |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:11:28Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-dab37c5ca45641338c592a10e23f2fab2023-02-21T05:10:49ZengElsevierEnergy Reports2352-48472022-11-01841824195Research on life cycle SOC estimation method of lithium-ion battery oriented to decoupling temperatureYang Wu0Hui Zhao1Yongchao Wang2Ran Li3Yongqin Zhou4College of Science, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, China; Corresponding author.College of Science, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, ChinaSchool of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, ChinaEngineering Research Center of Automotive Electronics Drive Control and System Integration, Ministry of Education, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, ChinaEngineering Research Center of Automotive Electronics Drive Control and System Integration, Ministry of Education, Harbin University of Science and Technology, Harbin, Heilongjiang 150080, ChinaThe efficiency, safety, and durability of lithium-ion batteries serve as the focus of energy storage systems. Among them, the accurate estimation of State of Charge (SOC) in the whole life cycle and wide temperature range is currently a capacity bottleneck that must be surpassed. In light of this issue, a joint estimation method of SOC and State of Health (SOH) based on Interacting Multiple Model (IMM) was proposed in this paper. Through the parallel filtering process of IMM, several battery models with different temperatures and aging degrees were established. The likelihood function was then used to calculate the model probability of a single model, and the state estimates of multiple single models were fused and outputted. Then, the accurate estimation of the SOC of the whole life cycle of the lithium-ion battery oriented to the decoupling temperature was realized. Finally, the proposed method was experimentally verified on two sets of battery data with different aging degrees and temperatures. The results show that the maximum errors of SOC estimation and capacity estimation are less than 2.27% and 3.43% respectively, which meets the needs of the industry. It is proved that the proposed method can achieve accurate tracking of battery SOC and real-time estimation of battery capacity.http://www.sciencedirect.com/science/article/pii/S235248472200587XBattery Energy Storage SystemBattery Management SystemLithium-ion batteryState of chargeState of healthInteracting multiple model |
| spellingShingle | Yang Wu Hui Zhao Yongchao Wang Ran Li Yongqin Zhou Research on life cycle SOC estimation method of lithium-ion battery oriented to decoupling temperature Energy Reports Battery Energy Storage System Battery Management System Lithium-ion battery State of charge State of health Interacting multiple model |
| title | Research on life cycle SOC estimation method of lithium-ion battery oriented to decoupling temperature |
| title_full | Research on life cycle SOC estimation method of lithium-ion battery oriented to decoupling temperature |
| title_fullStr | Research on life cycle SOC estimation method of lithium-ion battery oriented to decoupling temperature |
| title_full_unstemmed | Research on life cycle SOC estimation method of lithium-ion battery oriented to decoupling temperature |
| title_short | Research on life cycle SOC estimation method of lithium-ion battery oriented to decoupling temperature |
| title_sort | research on life cycle soc estimation method of lithium ion battery oriented to decoupling temperature |
| topic | Battery Energy Storage System Battery Management System Lithium-ion battery State of charge State of health Interacting multiple model |
| url | http://www.sciencedirect.com/science/article/pii/S235248472200587X |
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