OPTICS & OPTOELECTRONIC TECHNOLOGY, Volume. 22, Issue 4, 49(2024)

Prediction of DC Motor Brush State Based on Particle Filter Algorithm

CHEN Ling-yu, ZHANG Zhi-jie, WANG Chuan-qing, and XIAO Cong-bin
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    References(3)

    [9] [9] Qiu X,Wu W,Wang S. Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method[J]. Journal of Power Sources,2020,450:227700.

    [11] [11] Ye L H,Chen S J,Shi Y F,et al. Remaining useful life prediction of lithium-ion battery based on chaotic particle swarm optimization and particle filter[J]. International Journal of Electrochemical Science,2023,18(5):100122.

    [12] [12] Xu W,Xu J,Yan X. Lithium-ion battery state of charge and parameters joint estimation using cubature Kalman filter and particle filter[J]. Journal of Power Electronics,2020,20:292-307.

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    CHEN Ling-yu, ZHANG Zhi-jie, WANG Chuan-qing, XIAO Cong-bin. Prediction of DC Motor Brush State Based on Particle Filter Algorithm[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2024, 22(4): 49

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    Paper Information

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    Received: Oct. 11, 2023

    Accepted: --

    Published Online: Aug. 23, 2024

    The Author Email:

    DOI:

    CSTR:32186.14.

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