校准量热法测量锂电池比热容和生热率*

doi:10.19562/j.chinasae.qcgc.2020.01.009

摘要/Abstract

摘要： 本文中对利用校准量热法测量18650圆柱电池的比热和生热率进行了研究,它根据电池的温度变化和热损标定,确定锂离子电池的比热容,并测定大倍率放电时的生热率。实验结果表明:电池的比热容随环境温度的升高而增大,两者呈线性正相关。电池在放电过程中的生热具有时变瞬态的特点,电池平均生热率与放电倍率的平方正相关。此外,通过恒定功率生热实验证明了采用校准量热法测量电池比热容和生热率的准确性,方法简单,且实验过程不损坏电池。

关键词: 锂离子电池, 校准量热法, 比热容, 生热率

Abstract: The measurement of the specific heat capacity and heat generation rate of lithium ion battery by using calibrated calorimetry is studied in this paper, in which the specific heat capacity of lithium ion battery is determined and its heat generation rate in high rate discharge is measured based on temperature change and heat loss calibration of battery. The results of experiment show that the specific heat capacity of lithium ion battery increases with the rise of ambient temperature, exhibiting a linear positive correlation. The heat generation of battery in discharge process has time varying and transient features and the average heat generation rate of battery is positively correlated with the square of discharge rate. In addition, the heat generation experiment with constant power demonstrates that using calibrated calorimetry to measure the specific heat capacity and heat generation rate of battery is accurate, simple and nondestructive

Key words: lithium ion battery, calibrated calorimetry, specific heat capacity, heat generation rate

吴青余, 张恒运, 李俊伟. 校准量热法测量锂电池比热容和生热率^*[J]. 汽车工程, 2020, 42(1): 59-65.

Wu Qingyu, Zhang Hengyun, Li Junwei. Calibrated Calorimetry for Measuring the Specific Heat Capacityand Heat Generation Rate of Lithium-ion Battery[J]. Automotive Engineering, 2020, 42(1): 59-65.

参考文献

[1] PUTRA N, ARIANTARA B, PAMUNGKAS R A. Experimental investigation on performance of lithium-ion battery thermal management system using flat plate loop heat pipe for electric vehicle application[J]. Applied Thermal Engineering,2016,99:784-789.
[2] RAMADASS P, HARAN B, WHITE R, et al. Capacity fade of Sony 18650 cells cycled at elevated temperatures: part II. capacity fade analysis[J]. Journal of Power Sources,2002,112(2):614-620.
[3] PING P, WANG Q, HUANG P, et al. Thermal behavior analysis of lithium-ion battery at elevated temperature using deconvolution method[J]. Applied Energy,2014,129:261-273.
[4] LV Y, YANG X, LI X, et al. Experimental study on a novel battery thermal management technology based on low density polyethylene-enhanced composite phase change materials coupled with low fins[J]. Applied Energy,2016,178:376-382.
[5] JIANG G, HUANG J, LIU M, et al. Experiment and simulation of thermal management for a tube-shell Li-ion battery pack with composite phase change material[J]. Applied Thermal Engineering,2017,120:1-9.
[6] LOGES A, HERBERGER S, SEEGERT P, et al. A study on specific heat capacities of Li-ion cell components and their influence on thermal management[J]. Journal of Power Sources,2016,336:341-350.
[7] CHEN S, WAN C, WANG Y. Thermal analysis of lithium-ion batteries[J]. Journal of Power Sources,1996,140:111-124.
[8] GUO G, LONG B, CHENG B, et al. Three-dimensional thermal finite element modeling of lithium-ion battery in thermal abuse application[J]. Journal of Power Sources,2010,195:2393-2398.
[9] YU G, ZHANG X, WANG C, et al. Experimental study on specific heat capacity of lithium thionyl chloride batteries by a precise measurement method[J]. Journal of The Electrochemical Society,2013,160:A985-A989.
[10] PESARAN A A, KEYSER M. Thermal characteristics of selected EV and HEV batteries[C]. Sixteenth Annual Battery Conference on Applications and Advances. Proceedings of the Conference (Cat. No.01TH8533), Long Beach, CA, USA,2001:219-225.
[11] DRAKE S J, WETZ D A, OSTANEK J K, et al. Measurement of anisotropic thermophysical properties of cylindrical Li-ion cells[J]. Journal of Power Sources,2014,252:298-304.
[12] BAZINSKI S J, WANG X. Experimental study on the influence of temperature and state-of-charge on the thermophysical properties of an LFP pouch cell[J]. Journal of Power Sources,2015,293:283-291.
[13] 庄宗标,徐秀娟,姚卿敏,等.加速量热仪在锂离子电池热安全性能方面的研究[J].电子质量,2015(4):4-8.
[14] 王莉,冯旭宁,薛刚,等.锂离子电池安全性评估的ARC测试方法和数据分析[J].储能科学与技术,2018(7):1261-1270.
[15] SCHMIDT J P, MANKA D, KLOTZ D, et al. Investigation of the thermal properties of a Li-ion pouch-cell by electrothermal impedance spectroscopy[J]. Journal of Power Sources,2011,196:8140-8146.
[16] PNGV battery test manual[R]. Idaho Operations Office: U.S. Department of Energy,2001.02.
[17] BERNARDI D, PAWLIKOWSKI E, NEWMAN J. A general energy balance for battery systems[J]. Journal of the Electrochemical Society,1984,132:5-12.
[18] KIM U S, SHIN C B, KIM C S. Effect of electrode configuration on the thermal behavior of a lithium-polymer battery[J]. Journal of Power Sources,2008,180:909-916.
[19] 许建青.锂离子动力电池热状态研究[D].杭州:浙江大学,2016.
[20] DRAKE S J, MARTIN M, WETZ D A, et al. Heat generation rate measurement in a Li-ion cell at large C-rates through temperature and heat flux measurements[J]. Journal of Power Sources,2015,285:266-273.
[21] SCHUSTER E, ZIEBERT C, MELCHER A, et al. Thermal behavior and electrochemical heat generation in a commercial 40 Ah lithium ion pouch cell[J]. Journal of Power Sources,2015,286:580-589.
[22] 张恒运,盛雷,苏林,等.一种动力电池的比热容测试方法与装置:108732204A[P].2018-05-02.
[23] SHENG L, SU L, ZHANG H Y, et al. An improved calorimetric method for characterizations of the specific heat and the heat generation rate in a prismatic lithium ion battery cell[J]. Energy Conversion and Management,2019,180:724-732.

校准量热法测量锂电池比热容和生热率^*

Calibrated Calorimetry for Measuring the Specific Heat Capacityand Heat Generation Rate of Lithium-ion Battery

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