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

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

作者机构：School of Mechanical Engineering and AutomationFuzhou University Chongqing Key Laboratory of Catalysis and New Environmental MaterialsCollege of Environment and ResourcesChongqing Technology and Business University Contemporary Amperex Technology CoLimited (CATL) College of Materials Science and EngineeringFuzhou University 

出 版 物：《Rare Metals》 (稀有金属(英文版))

年 卷 期：2024年第11期

页      面：5637-5651页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：financially supported by the Science and Technology Major Project of Fujian Province of China(No.2022HZ028018) the National Natural Science Foundation of China (No.51907030) 

摘      要：The state-of-charge(SOC) and state-of-health(SOH) of lithium-ion batteries affect their operating performance and *** coupled SOC and SOH are difficult to estimate adaptively in multi-temperatures and *** paper proposes a novel transformer-embedded lithium-ion battery model for joint estimation of state-ofcharge and *** battery model is formulated across temperatures and aging,which provides accurate feedback for unscented Kalman filter-based SOC estimation and aging *** open-circuit voltages(OCVs) are corrected globally by the temporal convolutional network with accurate OCVs in time-sliding *** 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 simultaneously extracts local aging information from various sequences and aging channels using a self-attention and depth-separate *** leveraging multi-head attention,the model establishes information dependency relationships across different aging levels,enabling rapid and precise SOH ***,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%,***,the proposed method exhibits excellent adaptability to varying temperature and aging conditions,accurately estimating SOC and SOH.