摘要
锂电池热管理设计的首要部分是对电池在不同充放电倍率下温度的准确估计,为了实现温度的准确估计,同时提高便捷性和经济性,本文基于Bernardi发热方程对锂电池发热量进行估算,并提出使用Simulink搭建一维热电耦合仿真模型对锂电池内外温度进行估计。我们在不同倍率放电实验和HPPC恒流充放电实验的基础上对模型参数进行优化和验证。以软包锂电池为例,模型充分考虑层叠式电芯内部各种不同材料比热容和热阻的影响,实现了不同放电倍率下锂电池内外温度的准确估计。最后通过实验数据验证了模型结果的准确性,证明所提出模型能够快速有效地满足锂电池热管理温度估计的需求。
The first part of lithium battery thermal management design is to accurately estimate the temperature of the battery under different charging and discharging ratios.In order to achieve accurate temperature estimation,while improving convenience and economy,this paper estimates the operating heat value of lithium batteries based on the Bernardi heating equation,and proposes to use Simulink to build a one-dimensional thermoelectric coupling simulation model to estimate the internal and external temperatures of lithium batteries.We optimized and validated the model parameters based on different magnification discharge experiments and HPPC constant current charging and discharging experiments.Taking a soft packaged lithium battery as an example,the model fully considers the effects of various materials inside the stacked cell on specific heat capacity and thermal resistance,and achieves accurate estimation of internal and external temperatures of lithium batteries at different discharge rates.Finally,experimental data verify the accuracy of the model results,and prove that the proposed model can quickly and effectively meet the needs of lithium battery thermal management temperature estimation.
作者
凌海泉
黄彦
谢艺枫
刘梓熙
甄家豪
Ling Haiquan;Huang Yan;Xie Yifeng;Liu Zixi;Zhen Jiahao(Electric Power College,South China University of Technology,Guangdong,510640;School of Mechanical and Automotive Engineering,South China University of Technology,Guangdong,510640;School of Automation,South China University of Technology,Guangdong,510640)
出处
《当代化工研究》
2023年第9期180-184,共5页
Modern Chemical Research
基金
国家级大学生创新创业训练计划“基于FSEC纯电动赛车的新型可交互电池热管理系统研究与应用”(项目编号:013)。
关键词
锂电池热电耦合模型
Bernardi方程
锂电池热管理
thermoelectric coupling model for lithium batteries
Bernardi equation
lithium battery thermal management