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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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Energy Stored in Capacitors01:10

Energy Stored in Capacitors

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A parallel plate capacitor, when connected to a battery, develops a potential difference across its plates. This potential difference is key to the operation of the capacitor, as it determines how much electrical energy the capacitor can store.
By integrating the equation that relates voltage and current in a capacitor, one can derive an equation for the voltage across the capacitor at any given time. This equation is crucial in understanding and predicting the behavior of capacitors in...
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DC Battery01:21

DC Battery

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A conductor needs to be a component of a path that creates a closed loop or full circuit to have a continuous current flowing through it. A current starts to flow if an electric field is created inside an isolated conductor that is not part of a full circuit. The conductor quickly develops a net positive charge at one end and a net negative charge at the other. These charges generate an electric field opposite the direction of the applied electric field, which reduces the current. Eventually,...
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Potentiometer01:30

Potentiometer

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Voltage and current measurements using a standard voltmeter and ammeter alter the circuit being measured either by drawing or resisting the current flow, which introduces uncertainties in the measurements. Null measurements balance the voltages so that no current flows through the measuring device and, therefore, no alterations occur in the measured circuit.
Suppose the emf of a battery needs to be measured. If the battery is directly connected to a standard voltmeter, the measured quantity is...
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Energy Stored in a Capacitor01:12

Energy Stored in a Capacitor

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When an archer pulls the string in a bow, he saves the work done in the form of elastic potential energy. When he releases the string, the potential energy is released as kinetic energy of the arrow. A capacitor works on the same principle in which the work done is saved as electric potential energy. The potential energy (UC) could be calculated by measuring the work done (W) to charge the capacitor.
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Energy Stored in a Capacitor: Problem Solving01:26

Energy Stored in a Capacitor: Problem Solving

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In 1749, Benjamin Franklin coined the word battery for a series of capacitors connected to store energy. Capacitors store electric potential energy that can be released over a short time. This property means capacitors have a wide range of applications.
Capacitor-discharge ignition is a type of ignition system commonly found in small engines where the energy released from a capacitor ignites an induction coil that, in turn, fires the spark plug.
To calculate the energy stored in a capacitor of...
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Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
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基于深度学习的模拟器,用于预测离子电池中的电压行为.

Kanato Oka1, Naoto Tanibata1, Hayami Takeda1

  • 1Department of Advanced Ceramics, Nagoya Institute of Technology, Gokiso, Showa-ku, Nagoya, Aichi, 466-8555, Japan.

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概括

这项研究使用深度学习来创建离子电池 (LIB) 的电池模拟器. 这种机器学习方法准确地预测了电池性能,减少了汽车原型的成本和开发时间.

关键词:
这是一个电池模拟器.收费免费行为.深度学习是一种深度学习.离子电池 (LIB) 是一种离子电池.长时间的短期记忆 (LSTM)时间序列分析时间序列分析.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 电气工程 电气工程
  • 计算机科学 计算机科学

背景情况:

  • 制造大型汽车原型电池是耗时和昂贵的.
  • 准确的电池性能预测对于高效的开发至关重要.
  • 现有的仿真方法可能缺乏复杂电池行为所需的精度.

研究的目的:

  • 使用深度学习开发用于离子电池 (LIB) 的数据驱动电池模拟器.
  • 为了降低与汽车电池原型设计相关的经济和时间成本.
  • 准确预测在各种条件下LIBs的充放电行为.

主要方法:

  • 利用长期短期记忆 (LSTM) 深度学习模型进行电池仿真.
  • 在模拟数据 (双模型) 和来自LIBs的实验数据上训练模型.
  • 采用静电充放电时间表作为预测的任意输入.
  • 研究了充电状态描述符对模型性能的影响.

主要成果:

  • 实现了对电压配置文件的高预测准确性,其R平方值为0.98 (模拟) 和0.97 (实验).
  • 证明可以通过最小的数据集 (只需五个充放电周期) 实现强大的模型性能.
  • 证实了充电状态描述器对于精确模拟的意义.

结论:

  • 使用机器学习的数据驱动模拟显著加快了电池开发.
  • 开发的基于LSTM的模拟器为大规模电池生产中降低成本和时间提供了强大的工具.
  • 这种方法促进了汽车电池系统设计中的更快的代和优化.