Improved EECM for lithium-ion batteries under different current conditions
Li-ion batteries are at the core of new energy vehicle powertrains. The model-based battery management system (BMS) is the key to ensure the full play of battery performance. However, the existing BMS mainly adopts the equivalent circuit model (ECM), without considering the impact of discharge rate...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Power Engineering Technology
2023-07-01
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| Series: | 电力工程技术 |
| Subjects: | |
| Online Access: | https://www.epet-info.com/dlgcjsen/article/abstract/221121627 |
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| author | ZHANG Zhihang HAN Xuebing FENG Xuning LU Languang WANG Hewu OUYANG Minggao |
| author_facet | ZHANG Zhihang HAN Xuebing FENG Xuning LU Languang WANG Hewu OUYANG Minggao |
| author_sort | ZHANG Zhihang |
| collection | DOAJ |
| description | Li-ion batteries are at the core of new energy vehicle powertrains. The model-based battery management system (BMS) is the key to ensure the full play of battery performance. However, the existing BMS mainly adopts the equivalent circuit model (ECM), without considering the impact of discharge rate on available capacity. Therefore, the model will have significant terminal voltage simulation errors in different discharge rates and low state of charge (SOC) regions, which affects the accuracy of BMS. BMS cannot accurately estimate the battery discharge cut-off condition, and the estimation error of residual discharge capacity (RDC) is large, which may lead to serious consequences such as battery voltage sag and vehicle breakdown. To solve the above problems, based on the extended equivalent circuit model (EECM) considering the internal diffusion mechanism, the incremental capacity (IC) curves of discharge voltage at different rates are compared and analyzed. Nernst equation is used to construct capacity open circuit voltage curves at different discharge rates, and an improved EECM is proposed. The simulation errors of the improved EECM for terminal voltage under different current rates and dynamic conditions are smaller than traditional ECM and EECM. Improved EECM can improve the accuracy of RDC estimation and have the potential to be applied in practical BMS. |
| first_indexed | 2024-03-12T22:08:57Z |
| format | Article |
| id | doaj.art-51da23cff4674ef48294611f132c9f09 |
| institution | Directory Open Access Journal |
| issn | 2096-3203 |
| language | zho |
| last_indexed | 2024-03-12T22:08:57Z |
| publishDate | 2023-07-01 |
| publisher | Editorial Department of Electric Power Engineering Technology |
| record_format | Article |
| series | 电力工程技术 |
| spelling | doaj.art-51da23cff4674ef48294611f132c9f092023-07-24T03:18:37ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032023-07-0142421210.12158/j.2096-3203.2023.04.001221121627Improved EECM for lithium-ion batteries under different current conditionsZHANG Zhihang0HAN Xuebing1FENG Xuning2LU Languang3WANG Hewu4OUYANG Minggao5School of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaSchool of Vehicle and Mobility, Tsinghua University, Beijing 100084, ChinaLi-ion batteries are at the core of new energy vehicle powertrains. The model-based battery management system (BMS) is the key to ensure the full play of battery performance. However, the existing BMS mainly adopts the equivalent circuit model (ECM), without considering the impact of discharge rate on available capacity. Therefore, the model will have significant terminal voltage simulation errors in different discharge rates and low state of charge (SOC) regions, which affects the accuracy of BMS. BMS cannot accurately estimate the battery discharge cut-off condition, and the estimation error of residual discharge capacity (RDC) is large, which may lead to serious consequences such as battery voltage sag and vehicle breakdown. To solve the above problems, based on the extended equivalent circuit model (EECM) considering the internal diffusion mechanism, the incremental capacity (IC) curves of discharge voltage at different rates are compared and analyzed. Nernst equation is used to construct capacity open circuit voltage curves at different discharge rates, and an improved EECM is proposed. The simulation errors of the improved EECM for terminal voltage under different current rates and dynamic conditions are smaller than traditional ECM and EECM. Improved EECM can improve the accuracy of RDC estimation and have the potential to be applied in practical BMS.https://www.epet-info.com/dlgcjsen/article/abstract/221121627lithium-ion batteriesequivalent circuit model (ecm)battery management system (bms)electric vehiclesremaining discharge capacity (rdc) estimationimproved extended equivalent circuit model (eecm) |
| spellingShingle | ZHANG Zhihang HAN Xuebing FENG Xuning LU Languang WANG Hewu OUYANG Minggao Improved EECM for lithium-ion batteries under different current conditions 电力工程技术 lithium-ion batteries equivalent circuit model (ecm) battery management system (bms) electric vehicles remaining discharge capacity (rdc) estimation improved extended equivalent circuit model (eecm) |
| title | Improved EECM for lithium-ion batteries under different current conditions |
| title_full | Improved EECM for lithium-ion batteries under different current conditions |
| title_fullStr | Improved EECM for lithium-ion batteries under different current conditions |
| title_full_unstemmed | Improved EECM for lithium-ion batteries under different current conditions |
| title_short | Improved EECM for lithium-ion batteries under different current conditions |
| title_sort | improved eecm for lithium ion batteries under different current conditions |
| topic | lithium-ion batteries equivalent circuit model (ecm) battery management system (bms) electric vehicles remaining discharge capacity (rdc) estimation improved extended equivalent circuit model (eecm) |
| url | https://www.epet-info.com/dlgcjsen/article/abstract/221121627 |
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