Optimal SoC Balancing Control for Lithium-Ion Battery Cells Connected in Series
The optimal state of charge (SoC) balancing control for series-connected lithium-ion battery cells is presented in this paper. A modified SoC balancing circuit for two adjacent cells, based on the principle of a bidirectional Cuk converter, is proposed. The optimal SoC balancing problem is establish...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/14/10/2875 |
| _version_ | 1797533863022428160 |
|---|---|
| author | Chi Nguyen Van Thuy Nguyen Vinh Minh-Duc Ngo Seon-Ju Ahn |
| author_facet | Chi Nguyen Van Thuy Nguyen Vinh Minh-Duc Ngo Seon-Ju Ahn |
| author_sort | Chi Nguyen Van |
| collection | DOAJ |
| description | The optimal state of charge (SoC) balancing control for series-connected lithium-ion battery cells is presented in this paper. A modified SoC balancing circuit for two adjacent cells, based on the principle of a bidirectional Cuk converter, is proposed. The optimal SoC balancing problem is established to minimize the SoC differences of cells and the energy loss subject to constraints of the normal SoC operating range, the balancing current, and current of cells. This optimization problem is solved using the sequential quadratic programming algorithm to determine the optimal duties of PWM signals applied to the SoC balancing circuits. An algorithm for the selection of the initial points for the optimal problem-solving process is proposed. It is applied in cases where the cost function has no decreasing part. Experimental tests are conducted for seven series-connected Samsung cells. The optimal SoC balancing control and SoC estimation algorithms are coded in MATLAB and embedded in LabVIEW to control the SoC balancing in real time. The test results show that the differences between the SoCs of cells converges to the desired range using the proposed optimal SoC balancing control strategy. |
| first_indexed | 2024-03-10T11:21:41Z |
| format | Article |
| id | doaj.art-24a89adb431248e290a2d9dca68006ed |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T11:21:41Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-24a89adb431248e290a2d9dca68006ed2023-11-21T19:59:02ZengMDPI AGEnergies1996-10732021-05-011410287510.3390/en14102875Optimal SoC Balancing Control for Lithium-Ion Battery Cells Connected in SeriesChi Nguyen Van0Thuy Nguyen Vinh1Minh-Duc Ngo2Seon-Ju Ahn3Institute of High-Technology Research and Development for Industry (RIAT), Thai Nguyen University of Technology (TNUT), 666, 3/2 Street, Tich Luong Ward, Thai Nguyen City 251750, VietnamDepartment of Automation, Thai Nguyen University of Technology (TNUT), 666, 3/2 Street, Tich Luong Ward, Thai Nguyen City 251750, VietnamDepartment of Automation, Thai Nguyen University of Technology (TNUT), 666, 3/2 Street, Tich Luong Ward, Thai Nguyen City 251750, VietnamDepartment of Electrical Engineering, Chonnam National University, Gwangju 61186, KoreaThe optimal state of charge (SoC) balancing control for series-connected lithium-ion battery cells is presented in this paper. A modified SoC balancing circuit for two adjacent cells, based on the principle of a bidirectional Cuk converter, is proposed. The optimal SoC balancing problem is established to minimize the SoC differences of cells and the energy loss subject to constraints of the normal SoC operating range, the balancing current, and current of cells. This optimization problem is solved using the sequential quadratic programming algorithm to determine the optimal duties of PWM signals applied to the SoC balancing circuits. An algorithm for the selection of the initial points for the optimal problem-solving process is proposed. It is applied in cases where the cost function has no decreasing part. Experimental tests are conducted for seven series-connected Samsung cells. The optimal SoC balancing control and SoC estimation algorithms are coded in MATLAB and embedded in LabVIEW to control the SoC balancing in real time. The test results show that the differences between the SoCs of cells converges to the desired range using the proposed optimal SoC balancing control strategy.https://www.mdpi.com/1996-1073/14/10/2875lithium-ion batterystate of chargeoptimal controlbidirectional Cuk converterSoC balancing control |
| spellingShingle | Chi Nguyen Van Thuy Nguyen Vinh Minh-Duc Ngo Seon-Ju Ahn Optimal SoC Balancing Control for Lithium-Ion Battery Cells Connected in Series Energies lithium-ion battery state of charge optimal control bidirectional Cuk converter SoC balancing control |
| title | Optimal SoC Balancing Control for Lithium-Ion Battery Cells Connected in Series |
| title_full | Optimal SoC Balancing Control for Lithium-Ion Battery Cells Connected in Series |
| title_fullStr | Optimal SoC Balancing Control for Lithium-Ion Battery Cells Connected in Series |
| title_full_unstemmed | Optimal SoC Balancing Control for Lithium-Ion Battery Cells Connected in Series |
| title_short | Optimal SoC Balancing Control for Lithium-Ion Battery Cells Connected in Series |
| title_sort | optimal soc balancing control for lithium ion battery cells connected in series |
| topic | lithium-ion battery state of charge optimal control bidirectional Cuk converter SoC balancing control |
| url | https://www.mdpi.com/1996-1073/14/10/2875 |
| work_keys_str_mv | AT chinguyenvan optimalsocbalancingcontrolforlithiumionbatterycellsconnectedinseries AT thuynguyenvinh optimalsocbalancingcontrolforlithiumionbatterycellsconnectedinseries AT minhducngo optimalsocbalancingcontrolforlithiumionbatterycellsconnectedinseries AT seonjuahn optimalsocbalancingcontrolforlithiumionbatterycellsconnectedinseries |