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Joint Estimation of SOC and SOH of Lithium-ion Battery Based on DMIAUKF Algorithm
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Junrui WANG  Member, CPSS, Jin LI, Changjiang JI, Xuqiang ZHU, Ming WANG
Journal of Power Supply | 2026, 24(9) : 145 - 154
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Journal of Power Supply | 2026, 24(9): 145-154
• Renewable Energy Generation and Energy Storage •
Joint Estimation of SOC and SOH of Lithium-ion Battery Based on DMIAUKF Algorithm
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Junrui WANG  Member, CPSS, Jin LI, Changjiang JI, Xuqiang ZHU, Ming WANG
Affiliations
  • School of Electrical and Information Engineering, North Minzu University, Yinchuan 750000, China
Published: 2026-09-30 doi: 10.13234/j.issn.2095-2805.2026.9.145
Outline
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Accurate estimation of state of charge (SOC) and state of health (SOH) of lithium-ion batteries is of great significance in improving the performance of battery management system (BMS). In order to solve the problem that the unscented Kalman filter (UKF) algorithm has low accuracy in estimating the SOC of lithium-ion batteries, a double-multi-new information adaptive UKF (DMIAUKF) algorithm considering battery aging is proposed based on the UKF algorithm. The algorithm uses two multi-new information adaptive unscented Kalman filters (MIAUKF) to simultaneously estimate the SOC and SOH of the battery. Taking the ternary lithium-ion battery as the experimental research object, under the hybrid pulse power characteristic (HPPC) condition, the offline parameter identification method is used to identify the parameters of the second-order RC equivalent circuit model. The experimental results show that the DMIAUKF algorithm achieves high accuracy in estimating the SOC and SOH of lithium-ion batteries under constant-current discharge and HPPC conditions.

State of charge (SOC)  /  state of health (SOH)  /  unscented Kalman filter (UKF)  /  adaptive filter  /  multiple information identification theory
王君瑞中国电源学会会员, 李进, 季长江, 朱旭强, 王铭. 基于DMIAUKF算法的锂离子电池SOC和SOH联合估算. 电源学报, 2026 , 24 (9) : 145 -154 . DOI: 10.13234/j.issn.2095-2805.2026.9.145
Junrui WANG, Jin LI, Changjiang JI, Xuqiang ZHU, Ming WANG. Joint Estimation of SOC and SOH of Lithium-ion Battery Based on DMIAUKF Algorithm[J]. Journal of Power Supply, 2026 , 24 (9) : 145 -154 . DOI: 10.13234/j.issn.2095-2805.2026.9.145
Funding
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  • National Natural Science Foundation of China(52167004)
Appendix
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Year 2026 volume 24 Issue 9
45
10
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.9.145
  • Receive Date：2024-10-16
  • Online Date：2026-10-29
  • Published：2026-09-30
Article Data
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History
  • Received：2024-10-16
  • Revised：2025-01-01
  • Accepted：2025-02-15
Funding
National Natural Science Foundation of China(52167004)
Affiliations
    School of Electrical and Information Engineering, North Minzu University, Yinchuan 750000, China
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栓菌属 Trametes 5 2.39
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