首页> 外国专利> LITHIUM-ION BATTERY CHARGING CURVE RECONSTRUCTION AND STATE ESTIMATION METHOD BASED ON ARTIFICIAL INTELLIGENCE

LITHIUM-ION BATTERY CHARGING CURVE RECONSTRUCTION AND STATE ESTIMATION METHOD BASED ON ARTIFICIAL INTELLIGENCE

机译:基于人工智能的锂离子电池充电曲线重构与状态估计方法

摘要

A lithium-ion battery charging curve reconstruction and state estimation method based on artificial intelligence, which can estimate multiple states of a battery. The method uses charging segment data as input, uses a deep learning method to reconstruct a complete charging curve, and then can extract from the complete charging curve multiple states of the battery, including maximum capacity, maximum energy, state of charge, state of energy, state of power, capacity increment curve, etc. of the battery; and the battery charging curve reconstruction and state estimation method can be adaptively updated along with changes in the working state of the battery.
机译:一种基于人工智能的锂离子电池充电曲线重构和状态估计方法,可以估计电池的多种状态。该方法以充电段数据为输入,采用深度学习方法重构完整的充电曲线,然后可以从完整的充电曲线中提取电池的多种状态,包括电池的最大容量、最大能量、充电状态、能量状态、功率状态、容量增量曲线等;电池充电曲线重构和状态估计方法可以随着电池工作状态的变化而自适应更新。

著录项

  • 公开/公告号WO2022100230A1

    专利类型

  • 公开/公告日2022-05-19

    原文格式PDF

  • 申请/专利权人 BEIJING INSTITUTE OF TECHNOLOGY;

    申请/专利号WO2021CN116036

  • 发明设计人 XIONG RUI;TIAN JINPENG;DUAN YANZHOU;

    申请日2021-09-01

  • 分类号G01R31/367;G01R31/378;G01R31/392;

  • 国家 CN

  • 入库时间 2024-06-14 23:07:54

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