| 引用本文: | 李航洋,阳同光.计及动态非均匀热特性的储能软包锂电池充放电热路模型[J].电力系统保护与控制,2023,51(19):104-113. |
| LI Hangyang,YANG Tongguang.A charging/discharging thermal circuit model for energy storage pouch lithium batteries considering dynamic and non-uniform characteristics[J].Power System Protection and Control,2023,51(19):104-113 |
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| 摘要: |
| 当前锂离子电池热行为解析模型与仿真模型在储能应用中面临效率或精度挑战。提出一种计及动态非均匀热特性的软包锂电池热分析方法，为储能系统提供电池状态在线评估工具。首先，构建热路模型和解析偏微分方程组，以捕捉充放电过程中电池动态非均匀热特性。其次，建立迭代机制确定求解参数，发展一种兼顾精度和效率的求解算法。将热解析模型和算法应用于商用储能锂电池温度评估。多种充放电工况下的实验结果表明，所提方法具有毫秒级计算成本和小于3%的温度误差，参数标定、迭代机制增强了该方法的工程适用性。该方法对储能电池管理系统展现出良好的应用潜力。 |
| 关键词: 储能锂电池 动态非均匀特性 解析方法 充放电热模型 温度模拟 |
| DOI：10.19783/j.cnki.pspc.230547 |
| 分类号: |
| 基金项目:国家重点研发计划项目资助“政府间国际科技创新合作重点专项”(2019YFE0114700)；湖南省自然科学基金项目资助(2023JJ50343)；湖南省教育厅重点/一般课题项目资助(21A0503，21C0662) |
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| A charging/discharging thermal circuit model for energy storage pouch lithium batteries considering dynamic and non-uniform characteristics |
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LI Hangyang1, 2, YANG Tongguang1, 2
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1. Hunan Provincial Key Laboratory of Energy Monitoring and Edge Computing for Smart City (Hunan City University),
Yiyang 413000, China; 2. Smart City Energy Monitoring and Low Carbon Manufacturing Science Popularization
Base of Hunan Province (Hunan City University), Yiyang 413000, China
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| Abstract: |
| Existing analytical and simulation models for lithium-ion battery thermal behavior encounter efficiency or accuracy challenges in energy storage applications. This paper proposes a thermal analysis method for pouch lithium batteries considering dynamic and non-uniform thermal characteristics, providing an online state evaluation tool for energy storage systems. First, a thermal circuit model and analytical partial differential equations are created to capture the dynamic and non-uniform thermal characteristics during charge and discharge. Second, an iteration mechanism is formulated to determine the solving parameters, and a solution algorithm with balancing accuracy and efficiency is proposed. The proposed model and algorithm are applied to the temperature evaluation of commercial energy storage lithium batteries. Experimental results under various charging/discharging conditions show that the proposed method has a millisecond computational cost and less than 3% temperature error. The parameter calibration and iteration mechanisms enhance the engineering applicability. Thus, it demonstrates good application potential for the battery management system of energy storage. |
| Key words: lithium-ion energy storage dynamic non-uniformity characteristics analytical method charging/discharging thermal model temperature simulation |
