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Updated: Jan 19, 2026

In Situ Lithiated Reference Electrode: Four Electrode Design for In-operando Impedance Spectroscopy
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意识到不确定性的混合学习框架,用于快速和安全地充电离子电池,使用多忠度观察器

C H Hadassa Parimala1, P Srinivasa Varma1, Rangu Seshu Kumar2

  • 1Department of EEE Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, 522302, A.P, India.

Scientific reports
|January 17, 2026
PubMed
概括

本研究引入了一个不确定性意识混合学习框架,用于精确估计电动汽车 (EV) 中的离子电池充电状态 (SoC). 该模型确保安全和准确的实时SoC预测,即使在具有挑战性的热和动态条件下.

关键词:
电动汽车 (EV) 是一种电动汽车.离子电池是离子电池的一种.机器学习 机器学习多忠诚度模型多忠诚度模型多层感知子 (MLP) 多层感知子 (MLP)负荷状态 (SoC) 估计

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