A Novel Fading Memory Recursive Least Square Method (FMLS) for Accurate State of Charge Estimation of Lithium-ion Batteries Combined with Improved Second Order PNGV Modeling
As the main energy storage element and power source of electric vehicles, the accurate estimation of the state of charge (SOC) of lithium-ion batteries is very important for the battery management system of electric vehicles, as well as for the driving range and safety. To accurately describe the ch...
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| Published in: | International journal of electrochemical science Vol. 16; no. 9; p. 21097 |
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| Main Authors: | , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.09.2021
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| Subjects: | |
| ISSN: | 1452-3981, 1452-3981 |
| Online Access: | Get full text |
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| Abstract | As the main energy storage element and power source of electric vehicles, the accurate estimation of the state of charge (SOC) of lithium-ion batteries is very important for the battery management system of electric vehicles, as well as for the driving range and safety. To accurately describe the characteristics of the lithium-ion battery, an improved PNGV model was formed by connecting an RC circuit based on the traditional PNGV lithium battery equivalent model. Considering the aging characteristics of lithium batteries in use, the recursive least square method (FMRLS) with fading memory was adopted to identify parameters to meet the requirements of estimation accuracy, and the Extended Kalman Filter (EKF) algorithm was used to estimate SOC. The accuracy of MAE, MAPE and RMSE was improved by 9.21%, 4.85% and 9.38% respectively under DST condition. The improvement was 34.35%, 36.59% and 31.97%, respectively, Under BBDST condition. |
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| AbstractList | As the main energy storage element and power source of electric vehicles, the accurate estimation of the state of charge (SOC) of lithium-ion batteries is very important for the battery management system of electric vehicles, as well as for the driving range and safety. To accurately describe the characteristics of the lithium-ion battery, an improved PNGV model was formed by connecting an RC circuit based on the traditional PNGV lithium battery equivalent model. Considering the aging characteristics of lithium batteries in use, the recursive least square method (FMRLS) with fading memory was adopted to identify parameters to meet the requirements of estimation accuracy, and the Extended Kalman Filter (EKF) algorithm was used to estimate SOC. The accuracy of MAE, MAPE and RMSE was improved by 9.21%, 4.85% and 9.38% respectively under DST condition. The improvement was 34.35%, 36.59% and 31.97%, respectively, Under BBDST condition. |
| ArticleNumber | 21097 |
| Author | Wang, Shunli Fan, Yongcun Liu, Donglei Xia, Lili Qiu, Jingsong Bobobee, Etse Dablu |
| Author_xml | – sequence: 1 givenname: Donglei surname: Liu fullname: Liu, Donglei – sequence: 2 givenname: Yongcun surname: Fan fullname: Fan, Yongcun email: 8121064@qq.com – sequence: 3 givenname: Shunli surname: Wang fullname: Wang, Shunli email: 497420789@qq.com – sequence: 4 givenname: Lili surname: Xia fullname: Xia, Lili – sequence: 5 givenname: Jingsong surname: Qiu fullname: Qiu, Jingsong – sequence: 6 givenname: Etse Dablu surname: Bobobee fullname: Bobobee, Etse Dablu |
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| CitedBy_id | crossref_primary_10_1007_s11581_023_05147_z crossref_primary_10_1016_j_est_2022_105831 crossref_primary_10_1016_j_ijoes_2025_101103 crossref_primary_10_1016_j_jpowsour_2024_235893 crossref_primary_10_1016_j_est_2024_114955 crossref_primary_10_1016_j_est_2025_115346 crossref_primary_10_1016_j_est_2024_112348 |
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| ContentType | Journal Article |
| Copyright | 2021 The Authors. Published by ESG |
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| Issue | 9 |
| Keywords | electrical equivalent circuit model lithium-ion batteries FMRLS Extended Kalman filter state of charge estimation |
| Language | English |
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| Snippet | As the main energy storage element and power source of electric vehicles, the accurate estimation of the state of charge (SOC) of lithium-ion batteries is very... |
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| SubjectTerms | electrical equivalent circuit model Extended Kalman filter FMRLS lithium-ion batteries state of charge estimation |
| Title | A Novel Fading Memory Recursive Least Square Method (FMLS) for Accurate State of Charge Estimation of Lithium-ion Batteries Combined with Improved Second Order PNGV Modeling |
| URI | https://dx.doi.org/10.20964/2021.09.34 |
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