New methodology to on-site estimate the state of health of batteries for elevator applications

被引:0
|
作者
Iraola-Iriondo, Unai [1 ]
Alacano-Loiti, Argine [1 ]
Aizpuru-Larranaga, Iosu [1 ]
Goikoetxea-Arana, Ander [1 ]
Sanchez-Moran, Roberto [2 ]
Gil, Inigo [2 ]
Garmendia, Maitane [3 ]
机构
[1] Mondragon Unibertsitatea EPS, Dept Elect & Informat, C Loramendi 4, Arrasate Mondragon 20500, Guipuzcoa, Spain
[2] Orona S Coop, Poligono Lastaola S-N, Hernani 20120, Guipuzcoa, Spain
[3] IKERLAN, P JM Arizmendiarrieta 2, Arrasate Mondragon 20500, Guipuzcoa, Spain
来源
DYNA | 2019年 / 94卷 / 06期
关键词
Energy storage system; battery; elevator; SOH; braking resistor; partial discharge; duty cycle; pulsed discharge; LITHIUM-ION BATTERIES; OF-CHARGE ESTIMATION; OPEN-CIRCUIT-VOLTAGE; PREDICTION;
D O I
10.6036/9195
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper presents a new method to determine the state of health or SOH of one or more batteries supplying an elevator. The proposed method permits an accurate estimation of the state of health or SOH of at least one single battery, without the need of extra elements in the regular architecture of an elevator, because some existing elements are used for this purpose. In order to achieve this objective, a partial discharge of the energy storage system is forced through the braking resistor of the elevator if the SOH of the battery has to be estimated, with a duty cycle less than a 100%, because the braking resistor is limited in its working temperature and it is not designed for continuous discharging. In the aforementioned discharging process the battery voltage, the current delivered by the battery to the braking resistor and the number of pulses done during the test are measured. Taking into account these measurements during the pulsed discharge an approximation of the available capacity within the battery is obtained. A previous characterization of the energy storage system in the laboratory permits to know the amount of pulses that the energy storage system under test has to supply in order to be considered suitable to continue operating the elevator. Thus, evaluating the amount of pulses given by the battery in situ in the real application and comparing it with the required minimum value obtained in the characterization in the laboratory, the SOH value of the energy storage system is estimated. This paper presents the whole methodology followed to reach this estimation.
引用
收藏
页码:650 / 655
页数:6
相关论文
共 50 条
  • [21] Review on state-of-health of lithium-ion batteries: Characterizations, estimations and applications
    Yang, Sijia
    Zhang, Caiping
    Jiang, Jiuchun
    Zhang, Weige
    Zhang, Linjing
    Wang, Yubin
    JOURNAL OF CLEANER PRODUCTION, 2021, 314
  • [22] State of charge and health estimation of batteries for electric vehicles applications: key issues and challenges
    Singh, Samarendra Pratap
    Singh, Praveen Prakash
    Singh, Sri Niwas
    Tiwari, Prabhakar
    GLOBAL ENERGY INTERCONNECTION-CHINA, 2021, 4 (02): : 145 - 157
  • [23] A new method to estimate the state of charge of lithium-ion batteries based on the battery impedance model
    Xu, Jun
    Mi, Chunting Chris
    Cao, Binggang
    Cao, Junyi
    JOURNAL OF POWER SOURCES, 2013, 233 : 277 - 284
  • [24] The future of battery data and the state of health of lithium-ion batteries in automotive applications
    Friedrich von Bülow
    Felix Heinrich
    William Arthur Paxton
    Communications Engineering, 3 (1):
  • [25] Using tens of seconds of relaxation voltage to estimate open circuit voltage and state of health of lithium ion batteries
    Ko, Chi-Jyun
    Chen, Kuo-Ching
    APPLIED ENERGY, 2024, 357
  • [26] A Systematic Literature Review of State of Health and State of Charge Estimation Methods for Batteries Used in Electric Vehicle Applications
    Swarnkar, Radhika
    Ramachandran, Harikrishnan
    Ali, Sawal Hamid Md
    Jabbar, Rani
    WORLD ELECTRIC VEHICLE JOURNAL, 2023, 14 (09):
  • [27] CTBANet: A new method for state of health estimation of lithium-ion batteries
    Zhu, Qinglin
    Zeng, Xiangfeng
    Wang, Zhangu
    Zhao, Ziliang
    Zhang, Lei
    Wang, Junqiang
    JOURNAL OF ENERGY STORAGE, 2025, 117
  • [28] Batch-injection Analysis Better than ever: New Materials for Improved Electrochemical Detection and On-site Applications
    Rocha, Diego P.
    Cardoso, Rafael M.
    Tormin, Thiago F.
    de Araujo, William R.
    Munoz, Rodrigo A. A.
    Richter, Eduardo M.
    Angnes, Lucio
    ELECTROANALYSIS, 2018, 30 (07) : 1386 - 1399
  • [29] Critical review of state of health estimation methods of Li-ion batteries for real applications
    Berecibar, M.
    Gandiaga, I.
    Villarreal, I.
    Omar, N.
    Van Mierlo, J.
    Van den Bossche, P.
    RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 56 : 572 - 587
  • [30] A deep learning approach to estimate the state of health of lithium-ion batteries under varied and incomplete working conditions
    Zhang, Yubo
    Wang, Youyuan
    Xia, Yu
    Chen, Weigen
    JOURNAL OF ENERGY STORAGE, 2023, 58