储能科学与技术 ›› 2018, Vol. 7 ›› Issue (1): 128-.doi: 10.12028/j.issn.2095-4239.2017.0140

• 研究及进展 • 上一篇    下一篇

车用动力锂电池产热特性分析与优化

金标，姜斌，刘方方，姜炳春   

  1. 1广东科技学院机电工程系，广东 东莞 523000；2东莞塔菲尔新能源科技有限公司，广东 东莞 523795
  • 收稿日期:2017-08-14 修回日期:2017-09-30 出版日期:2018-01-01 发布日期:2018-01-01
  • 通讯作者: 金标（1981—），男，硕士研究生，讲师，主要研究方向：动力锂电池热管理及优化，E-mail：53340450@qq.com。
  • 基金资助:
    广东省青年创新人才类项目（2015KQNCX190，2016KQNCX 189）；东莞市社会科技发展项目（2017507154411）

Thermal characteristic analysis and optimization for vehicle power lithium battery

JIN Biao，JIANG Bin，LIU Fangfang，JIANG Bingchun   

  1. 1Department of Mechanical and Electrical Engineering,Guangdong University of Science & Technology,Dongguan 523000, Guangdong, China；2Dongguan TAFEL New Energy Technology Co., LTD, Dongguan 523795，Guangdong，China
  • Received:2017-08-14 Revised:2017-09-30 Online:2018-01-01 Published:2018-01-01

PDF

554

被引次数

2

摘要： 为研究各散热因素对单体动力锂电池散热综合能力的影响，建立了电池三维瞬态产热数学模型，利用有限元法模拟仿真了充电工况下电池温度场分布并进行了实验验证，同时基于有限元仿真热模型及温度仿真结果采用正交实验法对电池表面散热能力的各影响因素重要度进行了计算分析，得到了最佳影响因素组合，并进行了数值仿真验证。结果表明了有限元仿真热模型可信。充电电流重要度(0.54)＞环境温度重要度(0.21)＞对流换热系数重要度(0.15)＞热辐射系数重要度(0.05)对电池散热的影响程度。优化后的电池散热性能比优化前得到提高。虚拟正交实验法在电池散热方案设计中具有实际应用价值。

关键词: 产热模型, 影响因素, 虚拟正交实验法, 方差分析

Abstract:

To investigate the influence of heat dissipation factors on the comprehensive cooling capability for the rectangle power lithium battery, a three-dimensional transient thermal mathematical model was established under different operating conditions during charging process, making use of which the battery temperature field distribution was simulated at different charging current, ambient temperature, convective heat transfer coefficient and thermal emissivity based on the finite element method. In the meantime, the simulation results were verified experimentally, according to the results obtained by verified finite element thermal model, using the virtual orthogonal experiment method, the importance degree of influence factors was calculated and analyzed. The optimum combination of influence factors was attained, and the temperature field distribution of the original scheme(practical influence factors) and the optimized scheme(the optimum influence factors) was simulated using finite element thermal model. The results show that the thermal model of finite element is credible, and the most significant factor on the battery comprehensive cooling capacity is the charging current, whose important degree is 0.53, while the important degree of the ambient temperature is 0.21, the important degree of the convective heat transfer coefficient is 0.15, and the important degree of the thermal emissivity is 0.05, playing the least important part in the battery heat dissipation. In conclusion, the battery comprehensive cooling performance after optimization is better than that before optimization, and the virtual orthogonal experiment method has certain value of practical application in battery cooling scheme design and optimization.

Key words: heat production model, influence factor, virtual orthogonal experimental method, variance analysis