State-of-Charge Estimation with State-of-Health Calibration for Lithium-Ion Batteries

被引:25
|
作者
Wu, Tsung-Hsi [1 ]
Moo, Chin-Sien [1 ]
机构
[1] Natl Sun Yat Sen Univ, Dept Elect Engn, 70 Lienhai Rd, Kaohsiung 80424, Taiwan
来源
ENERGIES | 2017年 / 10卷 / 07期
关键词
coulomb counting; calibration procedures; lithium-ion battery; state-of-charge (SOC); state-of-health (SOH); ELECTRIC-VEHICLES; MANAGEMENT; HYBRID; MODEL;
D O I
10.3390/en10070987
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This research is focused on state-of-charge (SOC) estimation with state-of-health (SOH) calibration for lithium-ion batteries on the basis of the coulomb counting method. The proposed approach intends to present an easy-to-use solution with high accuracy for estimating battery statuses without the need for demanding calculations or hard-earned databases. To estimate the SOC of an aged battery more accurately, the degradation of its full capacity has to be taken into account. By scheduling the battery's charging/discharging current and monitoring the battery's status, the existing full capacity can be updated regularly by regular calibration or occasionally by partial calibration, in which the charging/discharging rates are normalized with the latest updated full capacity to agree with the battery's statuses. To exclude the misestimation caused by current measuring error, the SOC is reset to 0% when the battery is exhausted and 100% for a fully charged battery. With an updated SOH, the battery C-rate is re-scaled accordingly. Experimental tests are carried out to demonstrate that the proposed approach can provide an accurate online indication of batteries' SOCs. With an implanted error of 0.3% in current measuring, the SOC estimation error can always be less than 1.905% after a number of SOH calibrations.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Implementation of State-of-Charge and State-of-Health Estimation for Lithium-Ion Batteries
    Lin, Chang-Hua
    Wang, Chien-Ming
    Ho, Chien-Yeh
    [J]. PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 4790 - 4795
  • [2] State-of-Charge and State-of-Health Estimating Method for Lithium-Ion Batteries
    Wu, Tsung-Hsi
    Wang, Jhih-Kai
    Moo, Chin-Sien
    Kawamura, Atsuo
    [J]. 2016 IEEE 17TH WORKSHOP ON CONTROL AND MODELING FOR POWER ELECTRONICS (COMPEL), 2016,
  • [3] A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries
    Ren, Zhong
    Du, Changqing
    [J]. ENERGY REPORTS, 2023, 9 : 2993 - 3021
  • [4] State-of-charge and state-of-health estimation for lithium-ion batteries based on dynamic impedance technique
    Hung, Min-Hsuan
    Lin, Chang-Hua
    Lee, Liang-Cheng
    Wang, Chien-Ming
    [J]. JOURNAL OF POWER SOURCES, 2014, 268 : 861 - 873
  • [5] State-of-Charge Balancing of Lithium-Ion Batteries With State-of-Health Awareness Capability
    Xia, Zhiyong
    Abu Qahouq, Jaber A.
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (01) : 673 - 684
  • [6] Co-Estimation of State-of-Charge and State-of-Health for High-Capacity Lithium-Ion Batteries
    Xiong, Ran
    Wang, Shunli
    Feng, Fei
    Yu, Chunmei
    Fan, Yongcun
    Cao, Wen
    Fernandez, Carlos
    [J]. BATTERIES-BASEL, 2023, 9 (10):
  • [7] Co-Estimation of State-of-Charge and State-of-Health for Lithium-Ion Batteries Considering Temperature and Ageing
    Lai, Xin
    Yuan, Ming
    Tang, Xiaopeng
    Yao, Yi
    Weng, Jiahui
    Gao, Furong
    Ma, Weiguo
    Zheng, Yuejiu
    [J]. ENERGIES, 2022, 15 (19)
  • [8] Coupling Effect of State-of-Health and State-of-Charge on the Mechanical Integrity of Lithium-Ion Batteries
    J. Xu
    Y. Jia
    B. Liu
    H. Zhao
    H. Yu
    J. Li
    S. Yin
    [J]. Experimental Mechanics, 2018, 58 : 633 - 643
  • [9] Coupling Effect of State-of-Health and State-of-Charge on the Mechanical Integrity of Lithium-Ion Batteries
    Xu, J.
    Jia, Y.
    Liu, B.
    Zhao, H.
    Yu, H.
    Li, J.
    Yin, S.
    [J]. EXPERIMENTAL MECHANICS, 2018, 58 (04) : 633 - 643
  • [10] Higher Order Sliding-Mode Observers for State-of-Charge and State-of-Health Estimation of Lithium-Ion Batteries
    Obeid, Hussein
    Petrone, Raffaele
    Chaoui, Hicham
    Gualous, Hamid
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (04) : 4482 - 4492