Estimation of internal battery temperature based on electrochemical impedance spectroscopy

doi:10.19799/j.cnki.2095-4239.2024.0134

Abstract

Abstract:

The widespread application of lithium-ion batteries in new energy vehicles and energy storage presents challenges in accurately estimating their internal states, particularly the temperature within the battery core, which is crucial for thermal runaway prediction. This paper reviews classical sensor-less methods for battery temperature detection and introduces a temperature estimation approach based on electrochemical impedance spectroscopy (EIS). Moreover, this study investigates the influence of internal battery parameters on temperature estimation using EIS and analyzes the relationship between impedance magnitude, phase angle, and temperature for high-capacity ternary lithium-ion power batteries at different frequencies. A model for the online temperature estimation of lithium-ion batteries based on EIS is proposed, which achieves an accurate estimation of the internal battery temperature by analyzing the relationship between the magnitude of the impedance, phase angle, and temperature at different frequencies. The study indicates that a frequency point of 10 Hz is suitable for estimating temperature using impedance magnitude information, while a frequency point of 17.5 Hz is suitable for estimating temperature using impedance phase angle information. Within the range of -20 ℃ to 45 ℃, the maximum temperature estimation errors obtained when using the impedance magnitude and impedance phase angle are 3.79 ℃ and 2.69 ℃, respectively. Validation results demonstrate that the use of the impedance spectrum magnitude and phase angle information effectively estimates the true internal temperature of the battery. This study helps to improve the acquisition function of automotive BMS, which can be used to improve the management strategy of battery thermal management and thermal runaway.

Key words: electrochemical impedance spectroscopy, temperature estimation, lithium ion battery, BMS

CLC Number:

TM 912

Jingjing LEI, Zehao LI, Binbin CHEN, Denggao HUANG. Estimation of internal battery temperature based on electrochemical impedance spectroscopy[J]. Energy Storage Science and Technology, 2024, 13(8): 2823-2834.

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References 8

1	范文杰, 徐广昊, 于泊宁, 等. 基于电化学阻抗谱的锂离子电池内部温度在线估计方法研究[J]. 中国电机工程学报, 2021, 41(9): 3283-3293. DOI: 10.13334/j.0258-8013.pcsee.201740.
	FAN W J, XU G H, YU B N, et al. On-line estimation method for internal temperature of lithium-ion battery based on electrochemical impedance spectroscopy[J]. Proceedings of the CSEE, 2021, 41(9): 3283-3293. DOI: 10.13334/j.0258-8013.pcsee.201740.
2	SCHMIDT J P, ARNOLD S, LOGES A, et al. Measurement of the internal cell temperature via impedance: Evaluation and application of a new method[J]. Journal of Power Sources, 2013, 243: 110-117. DOI: 10.1016/j.jpowsour.2013.06.013.
3	ZHU J G, SUN Z C, WEI X Z, et al. A new lithium-ion battery internal temperature on-line estimate method based on electrochemical impedance spectroscopy measurement[J]. Journal of Power Sources, 2015, 274: 990-1004. DOI: 10.1016/j.jpowsour.2014.10.182.
4	SRINIVASAN R. Monitoring dynamic thermal behavior of the carbon anode in a lithium-ion cell using a four-probe technique[J]. Journal of Power Sources, 2012, 198: 351-358. DOI: 10.1016/j.jpowsour.2011.09.077.
5	ZHU J G, SUN Z C, WEI X Z, et al. Battery internal temperature estimation for LiFePO₄ battery based on impedance phase shift under operating conditions[J]. Energies, 2017, 10(1): 60. DOI: 10.3390/en10010060.
6	RAIJMAKERS L H J, DANILOV D L, VAN LAMMEREN J P M, et al. Sensorless battery temperature measurements based on electrochemical impedance spectroscopy[J]. Journal of Power Sources, 2014, 247: 539-544. DOI: 10.1016/j.jpowsour. 2013.09.005.
7	SPINNER N S, LOVE C T, ROSE-PEHRSSON S L, et al. Expanding the operational limits of the single-point impedance diagnostic for internal temperature monitoring of lithium-ion batteries[J]. Electrochimica Acta, 2015, 174: 488-493. DOI: 10.1016/j.electacta.2015.06.003.
8	BEELEN H P G J, RAIJMAKERS L H J, DONKERS M C F, et al. A comparison and accuracy analysis of impedance-based temperature estimation methods for Li-ion batteries[J]. Applied Energy, 2016, 175: 128-140. DOI: 10.1016/j.apenergy. 2016. 04.103.

序号	名称	型号	功能
1	充放电机	5V 1000A-2CH新威	调整电池初始SOC
2	电池环境仓	东大T-T252*2-C	调节电池内部温度
3	电化学工作站	Solartron 1470E	测试电池电化学阻抗
4	被测电池	120 Ah三元锂电池	被测对象
5	外置功率放大器	TOYO PBi 250-10	提升信噪比

温度	ΔZ/μΩ	k/(μΩ/℃)	Z`/μΩ	SOC引起的最大温度波动
-20~-10 ℃	502.807	50.280	1420	1.78 ℃
-10~0 ℃	415.953	41.595	1014	2.03 ℃
0~10 ℃	307.810	30.781	708	2.55 ℃
10~25 ℃	220.106	14.673	484	2.94 ℃
25~45 ℃	134.086	6.704	359	3.79 ℃

温度	Δθ/(°)	f/(°/℃)	θ`/(°)	SOC引起的最大温度波动/℃
-20~-10 ℃	7.509176	0.750918	28.27	1.32 ℃
-10~0 ℃	7.9587	0.79587	20.22	1.73 ℃
0~10 ℃	9.00992	0.900992	11.14	1.98 ℃
10~25 ℃	7.250809	0.483387	3.99	2.36 ℃
25~45 ℃	4.382667	0.219133	0.046	2.69 ℃

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