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17 August 2023 Life prediction of lithium titanate batteries for high energy laser systems
Yahui Ren, Linghui Li, Ling Jiang, Yong Tong, Guoshuai Wang, Jian Yu
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Proceedings Volume 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023); 127571C (2023) https://doi.org/10.1117/12.2690165
Event: 3rd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2023), 2023, Kunming, China
Abstract
Lithium titanate batteries are widely used as an energy source for high energy laser systems. In order to improve the reliability of high energy laser systems, this study established a life prediction model for lithium titanate batteries based on the classical one-dimensional Wiener process, adopted the Bayesian method for remaining useful life (RUL) prediction, and updated model parameters with typical working condition data from similar products to improve prediction accuracy, narrowing the prediction confidence interval to within 10 cycles. Experimental results show that the proposed method has high accuracy and feasibility.
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Yahui Ren, Linghui Li, Ling Jiang, Yong Tong, Guoshuai Wang, and Jian Yu "Life prediction of lithium titanate batteries for high energy laser systems", Proc. SPIE 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023), 127571C (17 August 2023); https://doi.org/10.1117/12.2690165
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KEYWORDS
Batteries
Lithium
Laser systems engineering
Performance modeling
Process modeling
Systems modeling
High power lasers
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