STATE-OF-HEALTH

作品数：11被引量：26H指数：3
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Multi-model ensemble learning for battery state-of-health estimation:Recent advances and perspectives
《Journal of Energy Chemistry》2025年第1期739-759,共21页Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang Zhongyue Zou Xuesong Mei 
National Natural Science Foundation of China (52075420);Fundamental Research Funds for the Central Universities (xzy022023049);National Key Research and Development Program of China (2023YFB3408600)。
The burgeoning market for lithium-ion batteries has stimulated a growing need for more reliable battery performance monitoring. Accurate state-of-health(SOH) estimation is critical for ensuring battery operational per...
关键词：Lithium-ion battery State-of-health estimation DATA-DRIVEN Machine learning Ensemble learning Ensemble diversity 
Industrial Battery State-of-Health Estimation with Incomplete Limited Data Toward Second-Life Applications
《Journal of Dynamics, Monitoring and Diagnostics》2024年第4期246-257,共12页Shaojie Yang Long Ling Xiang Li Jintong Han Shijie Tong 
Battery state-of-health(SOH)estimation is vital across applications ranging from portable electronics to electric vehicles,particularly in second-life applications where accurate prediction becomes complex due to vary...
关键词：battery degradation deep learning lithium-ion battery(LIB) second life SOH estimation 
State-of-health estimation for fast-charging lithium-ion batteries based on a short charge curve using graph convolutional and long short-term memory networks
《Journal of Energy Chemistry》2024年第11期1-11,共11页Yvxin He Zhongwei Deng Jue Chen Weihan Li Jingjing Zhou Fei Xiang Xiaosong Hu 
National Key Research and Development Program of China (Grant No. 2022YFE0102700);National Natural Science Foundation of China (Grant No. 52102420);research project “Safe Da Batt” (03EMF0409A) funded by the German Federal Ministry of Digital and Transport (BMDV);China Postdoctoral Science Foundation (Grant No. 2023T160085);Sichuan Science and Technology Program (Grant No. 2024NSFSC0938)。
A fast-charging policy is widely employed to alleviate the inconvenience caused by the extended charging time of electric vehicles. However, fast charging exacerbates battery degradation and shortens battery lifespan....
关键词：Lithium-ion battery State of health estimation Feature extraction Graph convolutional network Long short-term memory network 
A novel transformer-embedded lithium-ion battery model for joint estimation of state-of-charge and state-of-health
《Rare Metals》2024年第11期5637-5651,共15页Shang-Yu Zhao Kai Ou Xing-Xing Gu Zhi-Min Dan Jiu-Jun Zhang Ya-Xiong Wang 
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)。
The state-of-charge(SOC)and state-of-health(SOH)of lithium-ion batteries affect their operating performance and safety.The coupled SOC and SOH are difficult to estimate adaptively in multi-temperatures and aging.This ...
关键词：State-of-charge(SOC) State-of-health(SOH) Global correction Temperature Aging migration TRANSFORMER Multiscale attention 
State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review被引量：11
《Protection and Control of Modern Power Systems》2023年第3期63-79,共17页Yanshuo Liu Licheng Wang Dezhi Li Kai Wang 
supported by the Youth Fund of Shandong Province Natural Science Foundation(No.ZR2020QE212);Key Projects of Shandong Province Natural Science Foundation(No.ZR2020KF020);the Guangdong Provincial Key Lab of Green Chemical Product Technology(GC202111);Zhejiang Province Natural Science Foundation(No.LY22E070007);National Natural Science Foundation of China(No.52007170).
Lithium-ion batteries(LIBs)are crucial for the large-scale utilization of clean energy.However,because of the com-plexity and real-time nature of internal reactions,the mechanism of capacity decline in LIBs is still u...
关键词：Lithium-ion batteries STATE-OF-HEALTH Electrochemical impedance spectroscopy SOH estimation Battery management system 
Prognostics for Lithium-ion batteries for electric Vertical Take-off andLanding aircraft using data-driven machine learning被引量：2
《Energy and AI》2023年第2期145-162,共18页Mihaela Mitici Birgitte Hennink Marilena Pavel Jianning Dong 
The health management of batteries is a key enabler for the adoption of Electric Vertical Take-off and Landingvehicles (eVTOLs). Currently, few studies consider the health management of eVTOL batteries. One distinctch...
关键词：Electric Vertical Take-off and Landing vehicles Lithium-ion battery STATE-OF-HEALTH Machine learning Remaining-useful-life 
Robust state of charge and state of health estimation for batteries using a novel multi model approach
《Control Theory and Technology》2022年第3期418-438,共21页Giovanni Guida Davide Faverato Marco Colabella Gianluca Buonomo 
Estimation of state-of-charge and state-of-health for batteries is one of the most important feature for modern battery management system(BMS).Robust or adaptive methods are the most investigated because a more intell...
关键词：Adaptive estimation multiple models Connected embedded systems Extended Kalman filter Nonlinear observability STATE-OF-CHARGE STATE-OF-HEALTH State and parameter estimation 
State-of-Health Map of Lithium-ion Batteries Established by ICE Map Approach被引量：1
《Journal of Harbin Institute of Technology(New Series)》2022年第3期57-66,共10页Lin He Mingwei Wang Yujiang Wei Pengcheng Rui Shengjie Yu Qin Shi 
Sponsored by the National Key Research and Development Program of China(Grant No.2017YFB0103104);the Science and Technology Special Project of Anhui Province(Grant No.18030901063)。
State-of-health(SOH) is one of the main factors for lithium-ion batteries that indicate their life information. Thus it is essential to estimate SOH accurately during the operation of lithium-ion batteries. In this pa...
关键词：lithium-ion batteries STATE-OF-HEALTH ICE map nominal SOH SOH map 
An Enhanced Data-Driven Model for Lithium-Ion Battery State-of-Health Estimation with Optimized Features and Prior Knowledge被引量：3
《Automotive Innovation》2022年第2期134-145,共12页Huanyang Huang Jinhao Meng Yuhong Wang Lei Cai Jichang Peng Ji Wu Qian Xiao Tianqi Liu Remus Teodorescu 
This work is financially supported by the Natural Science Foundation of China under Grant 52107229;the Fundamental Research Funds for the Sichuan Science and Technology Program under Grant 2021YJ0063;the China Postdoctoral Science Foundation under Grant 2020M673218;Hunan High-tech Industry Science and Technology Innovation Plan under Grant 2020GK2081;the Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province under Grant 20KFKT02.
In the long-term prediction of battery degradation,the data-driven method has great potential with historical data recorded by the battery management system.This paper proposes an enhanced data-driven model for Lithiu...
关键词：Li-ion battery State of health Gaussian process regression Kernel function Feature optimization 
A novel data-driven method for mining battery open-circuit voltage characterization被引量：9
《Green Energy and Intelligent Transportation》2022年第1期133-140,共8页Cheng Chen Rui Xiong Ruixin Yang Hailong Li 
Lithium-ion batteries(LiB)are widely used in electric vehicles(EVs)and battery energy storage systems,and accurate state estimation relying on the relationship between battery Open-Circuit-Voltage(OCV)and State-of-Cha...
关键词：Li-ion battery OCV-SOC STATE-OF-CHARGE STATE-OF-HEALTH Operation data 
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