Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Batteries and Fuel Cells03:12

Batteries and Fuel Cells

26.6K
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...
26.6K
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

141
The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
141
Load-frequency control01:28

Load-frequency control

91
Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
91
Multimachine Stability01:25

Multimachine Stability

100
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
100
PD Controller: Design01:26

PD Controller: Design

128
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
128
Generator Voltage Control01:21

Generator Voltage Control

84
Generator voltage control is crucial for maintaining the stable operation of synchronous generators and wind turbines. In older models, a DC generator driven by the rotor delivers DC power to the rotor's field winding, and the power is transferred through slip rings and brushes. In the latest models, static or brushless exciters are used. Static exciters rectify AC power from the generator terminals and then transfer the DC power directly to the rotor. Brushless exciters, on the other hand,...
84

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Multimodal Fusion of Intraoperative FLIm and Preoperative PET/CT for Patient-Level Prediction of Lymph Node Metastasis in Head and Neck Cancer.

Cancers·2026
Same author

An intelligent SCADA-integrated deep learning framework for bird-safe offshore wind farm operation.

Scientific reports·2026
Same author

Presumed <i>Meningococcal meningitis</i> with Waterhouse-Friderichsen syndrome from a rural Ethiopia: a fatal case report and literature review.

Annals of medicine and surgery (2012)·2026
Same author

Association of epicardial adipose tissue thickness and left ventricular functions in children with primary dyslipidemia.

European journal of pediatrics·2026
Same author

A comprehensive review of bio-engineered nanofertilizers, nanopesticides, and nanobiochar for sustainable agriculture: Green synthesis, recent advances, challenges, and future outlooks.

Pesticide biochemistry and physiology·2026
Same author

Retraction Note: A comprehensive explainable AI approach for enhancing transparency and interpretability in stroke prediction.

Scientific reports·2026

相关实验视频

Updated: May 7, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

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

Published on: November 3, 2023

1.4K

提高电动汽车电池寿命:集成主动平衡和机器学习来准确估计RUL.

Yara A Sultan1, Abdelfattah A Eladl2, Mohamed A Hassan3

  • 1Mechatronics Department, Faculty of Engineering, Horus University-Egypt, New Damietta, Egypt.

Scientific reports
|January 4, 2025
PubMed
概括

本研究介绍了电动汽车离子电池组的活性电池平衡方法,以平衡充电水平,提高性能和寿命. 机器学习模型准确地预测了电池的剩余使用寿命,提高了电动汽车电池的整体管理.

关键词:
活动余额 活动余额 活动余额离子电池组的离子电池组是什么?机器学习是机器学习.剩余的使用寿命估计.

更多相关视频

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.4K
Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
11:25

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

Published on: March 7, 2022

4.4K

相关实验视频

Last Updated: May 7, 2025

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

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

Published on: November 3, 2023

1.4K
A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation
11:06

A Human-machine-interface Integrating Low-cost Sensors with a Neuromuscular Electrical Stimulation System for Post-stroke Balance Rehabilitation

Published on: April 12, 2016

10.4K
Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
11:25

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

Published on: March 7, 2022

4.4K

科学领域:

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

背景情况:

  • 电动汽车 (EV) 使用离子电池组用于储能.
  • 不一致的电池特性和操作条件导致电荷状态不平衡 (SOC),降低电动汽车电池容量并加速降解.
  • 有效的电池管理系统对于优化电动汽车性能和寿命至关重要.

研究的目的:

  • 开发和验证电动汽车中离子电池组的活性电池平衡方法.
  • 通过在各个电池中均等SOC来增强充电和放电能力.
  • 评估机器学习模型,准确预测电池寿命和剩余使用寿命 (RUL).

主要方法:

  • 实施一个双策略的活性电池平衡系统:充电平衡以最大限度地提高容量和放电平衡以延长持续时间.
  • 评估了七个机器学习模型 (k-最近的邻居,随机森林等). 使用R平方 (R2) 和平均绝对误差 (MAE) 进行RUL预测.
  • 集成主动平衡与RUL预测,以创建一个反循环,以优化电池管理.

主要成果:

  • 提出的主动平衡方法有效地减少了SOC差异,从而提高了充电和放电能力.
  • K-最近邻居和随机森林模型在RUL预测中表现出高准确性,达到0.996+的R2值和低MAE.
  • 综合系统表明,平衡的SOC水平促进了电池的健康,而RUL预测则为最佳平衡策略提供了信息.

结论:

  • 主动电池平衡对于提高电动汽车离子电池组的性能和寿命至关重要.
  • 机器学习为准确的电池RUL预测提供了一个强大的工具,这对于主动维护至关重要.
  • 积极平衡和RUL预测的协同集成代表了电动汽车电池管理系统的重大进步,提高了可靠性和寿命.