Accuracy State of Charge Estimation Used in Energy Storage System for Electric Transportation

被引：0
|
作者：
Li, Di [1 ]
Ouyang, Jian [1 ]
Li, Huiqi
Xie, Jinhong [1 ]
机构：
[1] S China Univ Technol, Sch Mech & Automot Engn, Guangzhou 510641, Guangdong, Peoples R China
来源：
2014 IEEE TRANSPORTATION ELECTRIFICATION CONFERENCE AND EXPO (ITEC) ASIA-PACIFIC 2014 | 2014年
关键词：
State of Charge Estimation; Energy Storage System; Electric Transportation; LITHIUM-ION BATTERY; OF-CHARGE;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Electric transportation is the development tendency of the transportation systems in future world. Energy storage systems are the key components of the electric transportation systems. Accuracy state of charge (SOC) estimation of energy storage system is crucial not only for improve energy used efficiency, but also for electric transportation drive safety. This paper choose LiFePO4 Li-ion battery as energy storage medium, use equivalent circuit modeling the battery, estimate the SOC of the battery through SMFEKF algorithm. The comparison between the SMFEKF algorithm simulation data and the experimental data shows that the SMFEKF algorithm has a better accuracy in SOC estimation.
引用
收藏
页数：6
相关论文
共 50 条
  • [41] Power Allocation Strategy for Battery Energy Storage System Considering Consistency of State of Health and State of Charge of Energy Storage Units
    Duan S.
    Yu H.
    Liu C.
    Wang M.
    Wang S.
    Xia B.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2023, 47 (05): : 65 - 73
  • [42] State of Energy Estimation Based on AUKF for Lithium Battery Used on Pure Electric Vehicle
    Liu, Hongwei
    Wang, Haifeng
    Guo, Chong
    PROGRESS IN RENEWABLE AND SUSTAINABLE ENERGY, PTS 1 AND 2, 2013, 608-609 : 1627 - 1630
  • [43] State of Charge Estimation Method of Energy Storage Battery Based on Multiple Incremental Features
    Chen, Zhilong
    He, Ting
    Mao, Yingzhe
    Zhu, Wenlong
    Xiong, Yifeng
    Wang, Shen
    Zeng, Jianhua
    Xu, Quan
    Niu, Yingchun
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 2024, 171 (07)
  • [44] Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models
    Zequera, Rolando Antonio Gilbert
    Rassolkin, Anton
    Vaimann, Toomas
    Kallaste, Ants
    IEEE ACCESS, 2025, 13 : 17733 - 17744
  • [45] Online state-of-charge estimation refining method for battery energy storage system using historical operating data
    Xiao, Lizhong
    Li, Xining
    Jiang, Quanyuan
    Geng, Guangchao
    JOURNAL OF ENERGY STORAGE, 2023, 57
  • [46] Improving accuracy of determining the state of charge level of a lithium-ion energy storage device
    Serdechnyy, Denis
    Tomashevskiy, Yury
    Smurygin, Egor
    2018 IEEE INTERNATIONAL TELECOMMUNICATIONS ENERGY CONFERENCE (INTELEC), 2018,
  • [47] A Review on Battery Energy Storage State of Charge Estimation for Grid Integration with Embedded Renewable Energy Generation
    Dhlamini, Nhamo
    Chowdhury, S. P. Daniel
    Lencwe, Mpho J.
    2024 32ND SOUTHERN AFRICAN UNIVERSITIES POWER ENGINEERING CONFERENCE, SAUPEC, 2024, : 187 - 193
  • [48] A Comprehensive Review of Categorization and Perspectives on State-of-Charge Estimation Using Deep Learning Methods for Electric Transportation
    Kaushik Das
    Roushan Kumar
    Wireless Personal Communications, 2023, 133 : 1599 - 1618
  • [49] A Comprehensive Review of Categorization and Perspectives on State-of-Charge Estimation Using Deep Learning Methods for Electric Transportation
    Das, Kaushik
    Kumar, Roushan
    WIRELESS PERSONAL COMMUNICATIONS, 2023, 133 (03) : 1599 - 1618
  • [50] Modelling and simulation of electric urban transportation systems with energy storage
    Capasso, Alfonso
    Lamedica, Regina
    Ruvio, Alessandro
    Ceraolo, Massimo
    Lutzemberger, Giovanni
    2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC), 2016,
12345