A roadmap for modeling and feature extraction of energy storage battery pack for marine energy power station

被引:0
|
作者
Zhang, Liqiang [1 ]
Liu, Lanjun [1 ]
Yang, Rui [1 ]
Wang, Kun [1 ]
Chen, Zhen [1 ]
Li, Ming [1 ]
机构
[1] Ocean Univ China, Dept Automat & Measurement, Coll Engn, Qingdao, Peoples R China
基金
中国国家自然科学基金;
关键词
Lithium-ion battery pack; health feature extraction; double-layer model; energy storage; LITHIUM-ION BATTERIES; CAPACITY FADE; DEGRADATION; MECHANISMS;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper introduces the entire roadmap and detailed research methods of our NSFC project. A three-stage roadmap is proposed for energy store application of marine power station, and called upon to solve the key issues of health feature rapid extraction and modeling for battery pack. Efficient numerical modeling, rapid ICA and EIS testing and degradation of key features investigating makes the acquirement of the key features much faster. Graph theory and data mining method will be applied in the preparation of the performance and health relationship between cells and pack. A double-layer model will be finally proposed to describe the performance and health behavior of the battery pack. This project can provide a systematic method for extracting health features of energy store battery pack, the findings will enrich the theoretical understanding of battery pack health and its degradation mechanisms, and provide strong support for health status evaluation in further.
引用
收藏
页码:1032 / 1038
页数:7
相关论文
共 50 条
  • [31] The Mineral Battery: Combining Metal Extraction and Energy Storage
    Deen, Kashif Mairaj
    Asselin, Edouard
    JOULE, 2020, 4 (01) : 4 - 9
  • [32] The impact of battery energy storage for renewable energy power grids in Australia
    Keck, Felix
    Lenzen, Manfred
    Vassallo, Anthony
    Li, Mengyu
    ENERGY, 2019, 173 : 647 - 657
  • [33] Dynamic modeling and simulation of a hydrogen power station for continuous energy generation and resilient storage
    Corigliano, O.
    Genovese, M.
    Fragiacomo, P.
    JOURNAL OF POWER SOURCES, 2025, 629
  • [34] Modeling of fast charging station equipped with energy storage
    Yu Zhang
    Yang He
    Xudong Wang
    Yufei Wang
    Chen Fang
    Hua Xue
    Chaoming Fang
    GlobalEnergyInterconnection, 2018, 1 (02) : 145 - 152
  • [35] Simulation and optimization of a new energy vehicle power battery pack structure
    Ruan, Guanqiang
    Yu, Changqing
    Hu, Xing
    Hua, Jing
    JOURNAL OF THEORETICAL AND APPLIED MECHANICS, 2021, 59 (04) : 565 - 578
  • [36] Modeling and optimal scheduling of battery energy storage systems in electric power distribution networks
    Mehrjerdi, Hasan
    Hemmati, Reza
    JOURNAL OF CLEANER PRODUCTION, 2019, 234 : 810 - 821
  • [37] Centralized Control of Parallel Connected Power Conditioning System for Battery Energy Storage System in Charge-Discharge-Storage Power Station
    Chen, Changsong
    Liu, Baoqi
    Duan, Shanxu
    Zou, Changyue
    2013 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2013, : 1087 - 1091
  • [38] Modeling of battery energy storage systems for AGC performance analysis in wind power systems
    Liu, Pengyin
    Zhao, Wei
    Shair, Jan
    Zhang, Jing
    Li, Fuqiang
    Xv, Peng
    Xie, Xiaorong
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2024, 155
  • [39] Configuration and operation model for integrated energy power station considering energy storage
    Li, Qingxin
    Shi, Ming
    Xie, Yaoze
    Zheng, Linfeng
    IET RENEWABLE POWER GENERATION, 2024,
  • [40] Modeling and Experimental Validation of a DSP Controlled Photovoltaic Power System with Battery Energy Storage
    Muoka, P. I.
    Haque, M. E.
    Gargoom, A.
    Negnevitsky, M.
    2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,