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State-of-charge estimation method for vanadium redox flow battery based on FFRLS-MIUKF algorithm
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Tao ZHENG, Zefeng JIA, Ya QIU, Junwei LI, Mou HOU
Thermal Power Generation | 2025, 54(4) : 68 - 76
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Thermal Power Generation | 2025, 54(4): 68-76
Special topic on new energy power generation technology
State-of-charge estimation method for vanadium redox flow battery based on FFRLS-MIUKF algorithm
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Tao ZHENG, Zefeng JIA, Ya QIU, Junwei LI, Mou HOU
Affiliations
  • School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
Published: 2025-04-25 doi: 10.19666/j.rlfd.202407203
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In order to solve the problems of difficult, high cost and poor accuracy of state-of-charge (SOC) estimation for vanadium redox flow batteries (VFB), a joint SOC estimation method is proposed, based on forgetting factor recursive least squares (FFRLS) and multiple innovation unscented Kalman filter (MIUKF). The FFRLS algorithm is used to identify the equivalent circuit model parameters of vanadium redox flow batteries online, and the MIUKF algorithm is used for SOC estimation, so as to achieve the purpose of accurately estimating the SOC of vanadium redox flow batteries. Finally, a 5 kW/30 kW·h vanadium redox flow battery is taken as experimental platform to verify the method. The experimental results show that, compared with the RLS-UKF algorithm and FFRLS-UKF algorithm, the FFRLS-MIUKF algorithm has lower mean square error and root mean square error in the charging and discharging phases, which are 0.003 7, 0.060 9 and 0.001 3, 0.036 3.

vanadium redox flow battery  /  state-of-charge estimation  /  recursive least squares  /  multiple innovation unscented Kalman filter  /  forgetting factor
Tao ZHENG, Zefeng JIA, Ya QIU, Junwei LI, Mou HOU. State-of-charge estimation method for vanadium redox flow battery based on FFRLS-MIUKF algorithm[J]. Thermal Power Generation, 2025 , 54 (4) : 68 -76 . DOI: 10.19666/j.rlfd.202407203
Year 2025 volume 54 Issue 4
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doi: 10.19666/j.rlfd.202407203
  • Receive Date:2024-07-24
  • Online Date:2026-03-06
  • Published:2025-04-25
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  • Received:2024-07-24
Affiliations
    School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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种数
Number of
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占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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