Suchergebnisse - "Limited memory recursive least squares algorithm"

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  1. 1

    Parameter Identification of Lithium-ion Battery Equivalent Circuit Model Based on Limited Memory Recursive Least Squares Algorithm with Variable Forgetting Factor von Peng, Xianghua, Yin, Jingyuan, Sun, Longfei, Ye, Zeyu, Wei, Tongzhen

    ISSN: 1742-6588, 1742-6596
    Veröffentlicht: Bristol IOP Publishing 01.04.2022
    Veröffentlicht in Journal of physics. Conference series (01.04.2022)
    “… Equivalent circuit method is the most widely used methodology in dynamic modeling of lithium-ion battery. An equivalent circuit with second-order RC network is …”
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  2. 2

    Online verification and management scheme of gateway meter flow in the power system by machine learning von Li, Chong, Wang, Hao, Shen, Hongtao, Yang, Peng, Wang, Yi, Li, Qian, Li, Chuan, Li, Bing, Guo, Rongkun, Wang, Ruiming

    ISSN: 2376-5992, 2376-5992
    Veröffentlicht: United States PeerJ. Ltd 23.10.2023
    Veröffentlicht in PeerJ. Computer science (23.10.2023)
    “… Currently, the calibration of electric energy meters often involves manual meter reading, dismantling inspection, or regular sampling inspection conducted by …”
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    Journal Article
  3. 3

    SOC estimation of Lithium battery by UKF algorithm based on dynamic parameter model von Xinrong Zhang, Jiaxiang Wu, Guangqing Kang

    Veröffentlicht: IEEE 01.08.2016
    “… The accurate SOC estimation of lithium ion battery is not only a prerequisite for the effective use of batteries, but also one of the key technologies to be …”
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  4. 4

    A novel back propagation neural network-dual extended Kalman filter method for state-of-charge and state-of-health co-estimation of lithium-ion batteries based on limited memory least square algorithm von Wang, Chao, Wang, Shunli, Zhou, Jinzhi, Qiao, Jialu, Yang, Xiao, Xie, Yanxin

    ISSN: 2352-152X, 2352-1538
    Veröffentlicht: Elsevier Ltd 01.03.2023
    Veröffentlicht in Journal of energy storage (01.03.2023)
    “… on limited memory recursive least square algorithm is proposed by establishing a second-order equivalent circuit model …”
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  5. 5

    Battery-SOC Estimation for Hybrid-Power UAVs Using Fast-OCV Curve with Unscented Kalman Filters von He, Zhuoyao, Martín Gómez, David, de la Escalera Hueso, Arturo, Flores Peña, Pablo, Lu, Xingcai, Armingol Moreno, José María

    ISSN: 1424-8220, 1424-8220
    Veröffentlicht: Switzerland MDPI AG 15.07.2023
    Veröffentlicht in Sensors (Basel, Switzerland) (15.07.2023)
    “… Unmanned aerial vehicles (UAVs) have drawin increasing attention in recent years, and they are widely applied. Nevertheless, they are generally limited by poor …”
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  6. 6

    An improved parameter identification and radial basis correction-differential support vector machine strategies for state-of-charge estimation of urban-transportation-electric-vehicle lithium-ion batteries von Wang, Shunli, Wang, Chao, Takyi-Aninakwa, Paul, Jin, Siyu, Fernandez, Carlos, Huang, Qi

    ISSN: 2352-152X, 2352-1538
    Veröffentlicht: Elsevier Ltd 01.03.2024
    Veröffentlicht in Journal of energy storage (01.03.2024)
    “… This paper designs a limited memory recursive least square algorithm to improve the accuracy of online parameter identification …”
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    Journal Article
  7. 7

    Real-time battery SOC estimation under hybrid power conditions using fast-OCV curve with unscented Kalman filters von He, Zhuoyao, Gomez, David Martin, de la Escalera Hueso, Arturo, Lu, Xingcai, Armingol Moreno, Jose Maria, Pena, Pablo Flores

    ISSN: 2575-7490
    Veröffentlicht: IEEE 19.06.2023
    Veröffentlicht in IEEE metrology for aerospace (19.06.2023)
    “… Unmanned aerial vehicles (UAVs) are drawing more and more attentions recent years and widely applied. Nevertheless, it is generally challenged by short time of …”
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  8. 8

    Realization on identification and compensation methods for the temperature model of hemispherical resonator gyro (HRG) von Yangguang Xie, Guoxing Yi, Yansheng Jia, Changhong Wang

    ISBN: 9781612840871, 1612840876
    Veröffentlicht: IEEE 01.08.2011
    “… For different application fields, the time series analysis method with multiple variables and limited memory recursive least square algorithm are employed, respectively …”
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