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作 者:卢家欢 徐宇航 邓棋瀚 陈纳 王昱[1] 曾山[1] 李杰浩 LU Jiahuan;XU Yuhang;DENG Qihan;CHEN Na;WANG Yu;Zeng Shan;LI Jiehao(College of Engineering,South China Agricultural University,Guangzhou 510642,China)
出 处:《西南大学学报(自然科学版)》2024年第12期24-30,共7页Journal of Southwest University(Natural Science Edition)
基 金:国家自然科学基金青年基金项目(52407246);四川省农业科学院开放课题(TFSZHH1001);广西重点研发计划项目(桂科AB21220058);广西科技创新基地建设类项目(桂科ZY22096023)。
摘 要:在“双碳”战略目标背景下,动力电池作为汽车、储能、农机、移动设备等领域的核心能量源,其重要性日益凸显.动力电池的全寿命周期特性对用电设备的安全长寿运行至关重要,但准确获取这一特性需要耗费大量时间和资源,且难以模拟实际应用中的复杂工况.为此,提出并设计了一种动力电池数字孪生体,可快速获取动力电池全寿命周期电行为仿真数据.实验结果表明:该数字孪生体能精准模拟动力电池在实际应用中的容量衰减轨迹与衰后动态电压行为,为动力电池全生命周期快速模拟及其管理系统开发设计提供模型基础.In the context of the"Dual Carbon"strategy,batteries have become increasingly important as a core energy source in fields such as automobiles,energy storage,agricultural machinery,and mobile devices.The full life cycle characteristics of batteries are crucial for the safe and long-term operation of electric equipment.However,accurately obtaining these characteristics requires significant time and resources,and it is difficult to simulate the complex working conditions encountered in real-world applications.To address this,this paper proposes and designs a digital twin of the battery,which can quickly generate the simulation data of the whole life cycle electrical behavior of battery.Experimental results show that this digital twin can accurately simulate the capacity degradation trajectory and post-degradation dynamic voltage behavior of batteries in practical applications,providing a model foundation for rapid life cycle simulations and the development of battery management systems.
分 类 号:TM912[电气工程—电力电子与电力传动]
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