| 引用本文: | 黄志亮,王怀兴,阳同光,等.储能锂离子电池包单体内部温度压力模拟[J].电力系统保护与控制,2022,50(15):138-146.[点击复制] |
| HUANG Zhiliang,WANG Huaixing,YANG Tongguang,et al.Simulation of internal temperature and pressure for cells in an energy storage lithium-ion battery[J].Power System Protection and Control,2022,50(15):138-146[点击复制] |
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| 摘要: |
| 针对储能锂离子电池热失控引发的安全问题，开发一种高效锂离子软包电池内部温度压力模拟方法，为储能系统提供电池状态实时监测工具。首先，通过融合化学反应模型、热路模型和膨胀模型，将软包电池内部生热、产气、传热、膨胀等过程集成到统一的计算框架中。其次，建立基于微分方程组的软包电池温度、压力计算模型，反应模型和热路模型通过温度、生热率等状态参数彼此耦合。再次，将该方法应用于4款电池样本进行温度、压力模拟。计算值和实测值对比表明，该方法能高效计算锂离子软包电池内部温度和压力，最大模拟误差小于4%，具有良好的计算精度。并且，该方法求解过程无需调用耗时的多物理场耦合仿真，计算效率高。 |
| 关键词: 储能系统 锂离子电池 温度-压力模拟 产气 反应热 |
| DOI：DOI: 10.19783/j.cnki.pspc.211256 |
| 投稿时间：2021-09-11修订日期：2021-10-13 |
| 基金项目:湖南省重点研发计划项目资助(2021GK2020)；湖南省自然科学基金项目资助(2021JJ30077, 2021JJ30079) |
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| Simulation of internal temperature and pressure for cells in an energy storage lithium-ion battery |
| HUANG Zhiliang,WANG Huaixing,YANG Tongguang,LI Canbing,LI Hangyang |
| (1. Key Laboratory Energy Monitoring and Edge Computing for Smart City of Hunan Province, Hunan City University, Yiyang 413000, China; 2. Key Laboratory of Advanced Design and Simulation Techniques for Special Equipment of Ministry of Education, Hunan University, Changsha 410082, China; 3. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China) |
| Abstract: |
| There are safety problems caused by thermal runaway in energy storage lithium-ion batteries. Thus an efficient method for simulating the internal temperature and pressure of a lithium-ion punch battery is developed, providing a real-time monitoring tool for battery status for energy storage systems. First, the processes of heat generation, gas production, heat transfer, and pouch expansion inside the battery are integrated into a unified evaluation framework by combining the chemical reaction, thermal circuit and self-expansion models. Secondly, a temperature/pressure evaluation model based on differential equations is established, in which the reaction and thermal circuit models are coupled through state parameters such as temperature and heat generation rate. Thirdly, the proposed method is applied to simulate the temperature and pressure of four samples. The comparison of the calculated and measured values shows that this method can efficiently calculate the internal temperature and pressure of the lithium-ion pouch batteries with a high accuracy with a maximum error of less than 4%. In addition, the solving process does not need to call on time-consuming coupled multi-physics simulations, and thus the efficiency is high.This work is supported by the Key Research & Development Project in Hunan Province (No. 2021GK2020). |
| Key words: energy storage lithium-ion battery simulation of pressure and temperature gas production reaction heat |
