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相关概念视频

Batteries and Fuel Cells03:12

Batteries and Fuel Cells

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A battery is a galvanic cell that is used as a source of electrical power for specific applications. Modern batteries exist in a multitude of forms to accommodate various applications, from tiny button batteries such as those that power wristwatches to the very large batteries used to supply backup energy to municipal power grids. Some batteries are designed for single-use applications and cannot be recharged (primary cells), while others are based on conveniently reversible cell reactions that...
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Updated: May 31, 2025

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
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基于知识数据的采样诊断算法用于电动汽车上的电池.

Li Qiangwei1, Zhou Sida1, Zhou Xinan1

  • 1School of Transportation Science and Engineering, Beihang University, Beijing 100191, China.

ISA transactions
|January 23, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种用于电池电压采样的新型故障诊断算法. 它通过使用异常检测和模糊来检测采样失败来提高电池安全性,这对于可靠的电池管理系统至关重要.

关键词:
故障模式的故障模式错误诊断是一个错误的诊断.离子电池是一种离子电池.采样 采样 采样 采样

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Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
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科学领域:

  • 电气工程 电气工程
  • 电池管理系统 电池管理系统
  • 错误诊断 错误诊断 在

背景情况:

  • 电压是电池管理系统 (BMS) 的一个关键参数.
  • 电压采样故障可能导致运行风险和系统故障.
  • 调查故障模式和开发强大的诊断算法是必不可少的.

研究的目的:

  • 为BMS开发一个基于知识数据的采样诊断算法.
  • 提出基于模糊和异常检测的在线智能诊断算法.
  • 识别和验证用于确定电压采样故障模式的关键特征.

主要方法:

  • 使用同等模拟模型构建故障模式的知识库.
  • 模拟六种潜在的BMS电压采样故障模式.
  • 用模糊的异常值检测用于智能故障诊断的应用.
  • 使用故障矩阵方法和电池在循环实验的验证.
  • 使用来自云监控平台的真实数据进行验证.

主要成果:

  • 确定了对称的电压分布和接近零的电压作为关键的故障特征.
  • 通过模拟和实验验证拟议的诊断算法的有效性.
  • 证实了算法的实时检测采样线切断的能力.
  • 使用云监控数据证明了算法的实际适用性.

结论:

  • 开发的故障诊断算法有效地识别了BMS中的电压采样故障.
  • 以知识数据为驱动的方法提高了电池操作的可靠性和安全性.
  • 建议的方法可以扩展到其他系统和基于云的监控平台.