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Updated: Jun 28, 2025

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
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Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway

Published on: March 7, 2022

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在基于离子电池的交叉时间尺度融合算法的参数识别中的Jitter解决方案

Xianzheng Su1, Yanjun Ge1, Xin Qiao2

  • 1School of Mechanical Engineering, Dalian Jiaotong University, 116028, Dalian, China.

Heliyon
|April 24, 2024
PubMed
概括

这项研究引入了一种新的交叉时间尺度融合 (CTSF) 算法,以提高电池充电状态 (SOC) 估计的准确性. 在复杂的条件下,CTSF算法有效地减少了电池等效电路模型 (ECM) 中的参数识别动.

关键词:
交叉时间尺度融合算法.发的人会发.参数识别 参数识别SOC 的准确性是如此.

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