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SOC Estimation of Lithium-ion Battery Based on Fractional-order Model and FOSVD-MIAUKF
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Zhengzheng ZHAO  Student Member, CPSS, Qiuhua FAN, Zhaokai YUAN
Journal of Power Supply | 2026, 24(8) : 121 - 130
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Journal of Power Supply | 2026, 24(8): 121-130
• Renewable Energy Generation and Energy Storage •
SOC Estimation of Lithium-ion Battery Based on Fractional-order Model and FOSVD-MIAUKF
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Zhengzheng ZHAO  Student Member, CPSS, Qiuhua FAN, Zhaokai YUAN
Affiliations
  • College of Electrical Engineering, Qingdao University, Qingdao 266071, China
Published: 2026-08-30 doi: 10.13234/j.issn.2095-2805.2026.8.121
Outline
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To characterize the working characteristics of batteries more accurately, a second-order fractional-order model (FOM) is established based on the fractional-order calculus theory, with a Samsung power lithium-ion battery as the research object. Aimed at the nonlinear and multi-extremum characteristics of the second-order FOM parameters, an adaptive genetic algorithm is adopted for parameter identification. Based on the traditional unscented Kalman filter (UKF) algorithm, a fractional-order singular value decomposition-multi-information adaptive UKF (FOSVD-MIAUKF) algorithm is proposed. Simulation results show that the improved FOSVD-MIAUKF algorithm combined with second-order FOM can better estimate the state-of-charge (SOC) of lithium-ion battery. The root mean square errors under both the dynamic stress test (DST) and federal urban driving schedule (FUDS) conditions are less than 0.5%, which verifies that the improved method has better adaptability and higher accuracy.

Lithium-ion battery  /  fractional-order calculus theory  /  second-order fractional-order model (FOM)  /  singular value decomposition  /  multi-information adaptive unscented Kalman filter (MIAUKF)  /  state-of-charge (SOC)
赵正正中国电源学会学生会员, 范秋华, 袁照凯. 基于分数阶和FOSVD-MIAUKF的锂离子电池SOC估计. 电源学报, 2026 , 24 (8) : 121 -130 . DOI: 10.13234/j.issn.2095-2805.2026.8.121
Zhengzheng ZHAO, Qiuhua FAN, Zhaokai YUAN. SOC Estimation of Lithium-ion Battery Based on Fractional-order Model and FOSVD-MIAUKF[J]. Journal of Power Supply, 2026 , 24 (8) : 121 -130 . DOI: 10.13234/j.issn.2095-2805.2026.8.121
  • National Natural Science Foundation of China(62273190)
Year 2026 volume 24 Issue 8
42
5
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.8.121
  • Receive Date:2024-11-04
  • Online Date:2026-10-29
  • Published:2026-08-30
Article Data
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History
  • Received:2024-11-04
  • Revised:2025-01-03
  • Accepted:2025-02-05
Funding
National Natural Science Foundation of China(62273190)
Affiliations
    College of Electrical Engineering, Qingdao University, Qingdao 266071, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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