首页|A novel transformer-embedded lithium-ion battery model for joint estimation of state-of-charge and state-of-health

A novel transformer-embedded lithium-ion battery model for joint estimation of state-of-charge and state-of-health

扫码查看
原文链接
  • 万方数据
  • 维普
The state-of-charge(SOC)and state-of-health(SOH)of lithium-ion batteries affect their operating per-formance and safety.The coupled SOC and SOH are dif-ficult to estimate adaptively in multi-temperatures and aging.This paper proposes a novel transformer-embedded lithium-ion battery model for joint estimation of state-of-charge and state-of-health.The battery model is formulated across temperatures and aging,which provides accurate feedback for unscented Kalman filter-based SOC estima-tion and aging information.The open-circuit voltages(OCVs)are corrected globally by the temporal convolu-tional network with accurate OCVs in time-sliding win-dows.Arrhenius equation is combined with estimated SOH for temperature-aging migration.A novel transformer model is introduced,which integrates multiscale attention with the transformer's encoder to incorporate SOC-voltage differential derived from battery model.This model simultaneously extracts local aging information from var-ious sequences and aging channels using a self-attention and depth-separate convolution.By leveraging multi-head attention,the model establishes information dependency relationships across different aging levels,enabling rapid and precise SOH estimation.Specifically,the root mean square error for SOC and SOH under conditions of 15 ℃ dynamic stress test and 25 ℃ constant current cycling was less than 0.9％and 0.8％,respectively.Notably,the pro-posed method exhibits excellent adaptability to varying temperature and aging conditions,accurately estimating SOC and SOH.

State-of-charge(SOC)State-of-health(SOH)Global correctionTemperatureAging migrationTransformerMultiscale attention

Shang-Yu Zhao、Kai Ou、Xing-Xing Gu、Zhi-Min Dan、Jiu-Jun Zhang、Ya-Xiong Wang

展开 >

School of Mechanical Engineering and Automation,Fuzhou University,Fuzhou 350108,China

Chongqing Key Laboratory of Catalysis and New Environmental Materials,College of Environment and Resources,Chongqing Technology and Business University,Chongqing 400067,China

Contemporary Amperex Technology Co,Limited(CATL),Ningde 352100,China

College of Materials Science and Engineering,Fuzhou University,Fuzhou 350108,China

展开 >

2024

10.1007/s12598-024-02942-z

稀有金属(英文版)
中国有色金属学会

稀有金属(英文版)

CSTPCDEI
影响因子：0.801
ISSN：1001-0521
年,卷(期)：2024.43(11)