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Akademický článek

A novel neural network model with cascaded structure for state-of-charge estimation in lithium-ion batteries

Autor: Chunsheng Wang, Mutian Li, Yuan Cao

Publikováno v: CSEE Journal of Power and Energy Systems, Vol PP, Iss 99, Pp 1-12 (2024)

In this article, a new methodology is proposed to achieve high accuracy estimation of battery state-of-charge (SOC). In this method, AdaBoost-AOA-BPNN model employs an arithmetic optimization algorithm (AOA) to optimize the threshold values and initi

Externí odkaz: https://doaj.org/article/74a9974bc5b44a4ea10ba11a7aeb5bbe

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Akademický článek

State of Charge Estimation of Lithium-Ion Battery Based on Back Propagation Neural Network and AdaBoost Algorithm

Autor: Bingzi Cai, Mutian Li, Huawei Yang, Chunsheng Wang, Yougen Chen

Publikováno v: Energies, Vol 16, Iss 23, p 7824 (2023)

The accurate estimation of the state of charge (SOC) of lithium-ion batteries is critical in battery energy storage systems. This paper introduces a novel approach, the AdaBoost–BPNN model, to overcome the limitations of traditional data-driven est

Externí odkaz: https://doaj.org/article/53781f1611954e5aa4be0cafb5d0231a

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Akademický článek

A Mesh Space Mapping Modeling Method with Mesh Deformation for Microwave Components

Autor: Shuxia Yan, Chenglin Li, Mutian Li, Zhimou Li, Xu Wang, Jian Wang, Yaocong Xie

Publikováno v: Micromachines, Vol 14, Iss 9, p 1783 (2023)

In this study, a low-cost space mapping (SM) modeling method with mesh deformation is proposed for microwave components. In this approach, the coarse-mesh model with mesh deformation is developed as the coarse model, and the fine-mesh model is simula

Externí odkaz: https://doaj.org/article/a251df0f6c3f4b55ad6d20bb97677024

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