Modelling and Temperature Control of Liquid Cooling Process for Lithium-Ion Battery

  • LI Guanru ,
  • ZHONG Yangfan ,
  • BAO Chujin ,
  • CHEN Yongping ,
  • ZHANG Chengbin
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  • 1. School of Energy and Environment, Southeast University, Nanjing 210096, China
    2. Key Laboratory of Efficient Low-Carbon Energy Conversion and Utilization of Jiangsu Provincial Higher Education Institutions, Suzhou University of Science and Technology, Suzhou 215009, China
    3. Alibaba Cloud Computing Co. Ltd., Hangzhou 311121, China
    4. Zhejiang Immertech Co. Ltd., Hangzhou 310000, China

网络出版日期: 2024-09-08

基金资助

This work was supported by the National Key R&D Program of China (2021YFB3803200) and the National Natural Science Foundation of China (Grant No. U2241253).

版权

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2024

Modelling and Temperature Control of Liquid Cooling Process for Lithium-Ion Battery

  • LI Guanru ,
  • ZHONG Yangfan ,
  • BAO Chujin ,
  • CHEN Yongping ,
  • ZHANG Chengbin
Expand
  • 1. School of Energy and Environment, Southeast University, Nanjing 210096, China
    2. Key Laboratory of Efficient Low-Carbon Energy Conversion and Utilization of Jiangsu Provincial Higher Education Institutions, Suzhou University of Science and Technology, Suzhou 215009, China
    3. Alibaba Cloud Computing Co. Ltd., Hangzhou 311121, China
    4. Zhejiang Immertech Co. Ltd., Hangzhou 310000, China

Online published: 2024-09-08

Supported by

This work was supported by the National Key R&D Program of China (2021YFB3803200) and the National Natural Science Foundation of China (Grant No. U2241253).

Copyright

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2024

摘要

锂电池在快速充放电条件下的高效热管理是延缓电池老化、提升电池寿命的重要途径。本文基于热电模型和单相对流传热模型建立锂电池组动态热管理过程的混合仿真模型,继而设计一种名义的无模型控制器(模糊逻辑控制器),通过自动调节冷却工质的流量以减缓锂电池温度波动。此外,引入一种基于泵速优化的启停控制器作为对比控制器。为将锂电池组温度控制在合适工作区间以提升充放电效率,本文设计了常规运行和极端运行两种模式,继而开展锂电池组温度控制仿真研究。研究结果表明,模糊逻辑控制器在两种运行模式下均展现出更好的电池温度设定值跟踪控制品质。得益于所建立的模糊集和模糊行为规则,模糊逻辑控制器能够始终将电池温度保持在设定值附近,使得电池温度波动幅度大幅减小,在常规运行模式和极端运行模式下的温度控制精度分别为0.2°C和0.5°C。与之相对应,优化的启停控制器在两种运行模式的温度控制精度分别为1.1°C和1.6°C。在极端运行模式下,优化的启停控制器使温度波动呈现滞后性,这归因于反馈温度迟滞区(dead-band)的设计。本文开展的仿真研究为发展锂电池热管理的无模型温度控制提供了优选路径。

本文引用格式

LI Guanru , ZHONG Yangfan , BAO Chujin , CHEN Yongping , ZHANG Chengbin . Modelling and Temperature Control of Liquid Cooling Process for Lithium-Ion Battery[J]. 热科学学报, 2024 , 33(5) : 1794 -1808 . DOI: 10.1007/s11630-024-2013-1

Abstract

Efficient thermal management of lithium-ion battery, working under extremely rapid charging-discharging, is of widespread interest to avoid the battery degradation due to temperature rise, resulting in the enhanced lifespan. Herein, thermal management of lithium-ion battery has been performed via a liquid cooling theoretical model integrated with thermoelectric model of battery packs and single-phase heat transfer. Aiming to alleviate the battery temperature fluctuation by automatically manipulating the flow rate of working fluid, a nominal model-free controller, i.e., fuzzy logic controller is designed. An optimized on-off controller based on pump speed optimization is introduced to serve as the comparative controller. Thermal control simulations are conducted under regular operating and extreme operating conditions, and two controllers are applied to control battery temperature with proper intervals which is conducive to enhance the battery charge-discharge efficiency. The results indicate that, for any operating condition, the fuzzy logic controller shows excellence in terms of the tracking accuracy of set-point of battery temperature. Thanks to the establishment of fuzzy set and fuzzy behavioral rules, the battery temperature has been throughout maintained near the set point, and the temperature fluctuation amplitude is highly reduced, with better temperature control accuracy of ~0.2°C (regular condition) and ~0.5°C (extreme condition) compared with ~1.1°C (regular condition) and ~1.6°C (extreme condition) of optimized on-off controller. While in the case of extreme operating condition, the proposed optimized on-off controller manifests the hysteresis in temperature fluctuation, which is ascribed to the set of dead-band for the feedback temperature. The simulation results cast new light on the utilization and development of model-free temperature controller for the thermal management of lithium-ion battery.

参考文献

[1] An Z., Jia L., Ding Y., Dang C., Li X., A review on lithium-ion power battery thermal management technologies and thermal safety. Journal of Thermal Science, 2017, 26(5): 391–412.
[2] Lin B., Cen J., Jiang F., A lightweight compact lithium-ion battery thermal management system integratable directly with EV air conditioning systems. Journal of Thermal Science, 2022, 31(6): 2363–2373.
[3] Wang S.X., Ji S., Zhu Y., A comparative study of cooling schemes for laminated lithium-ion batteries. Applied Thermal Engineering, 2021, 182: 116040.
[4] Lin S., Ling Z., Li S., et al., Mitigation of lithium-ion battery thermal runaway and inhibition of thermal runaway propagation using inorganic salt hydrate with integrated latent heat and thermochemical storage. Energy, 2023, 266: 126481.
[5] Wang Y., Ren D., Feng X., et al., Thermal runaway modeling of large format high-nickel/silicon-graphite lithium-ion batteries based on reaction sequence and kinetics. Applied Energy, 2022, 306: 117943.
[6] Wang S.X., Li K.X., Tian Y., et al., An experimental and numerical examination on the thermal inertia of a cylindrical lithium-ion power battery. Applied Thermal Engineering, 2019, 154: 676–685.
[7] Wang S.X., Li K.X., Tian Y., et al., Infrared imaging investigation of temperature fluctuation and spatial distribution for a large laminated lithium-ion power battery. Applied Thermal Engineering, 2019, 152: 204–214.
[8] Wang M., Teng S., Xi H., Li Y., Cooling performance optimization of air-cooled battery thermal management system. Applied Thermal Engineering, 2021, 195: 117242.
[9] Le Q., Shi Q., Liu Q., et al., Numerical investigation on manifold immersion cooling scheme for lithium ion battery thermal management application. International Journal of Heat and Mass Transfer, 2022, 190: 122750.
[10] Yang L., Xu H., Zhang H., et al., Numerical and experimental investigation on the performance of battery thermal management system based on micro heat pipe array. Journal of Thermal Science, 2022, 31(5): 1531–1541.
[11] Chen X., Chen S.K., Zhang Z.W., Sun D.K., Liu X.D., Heat transfer investigation of a flat-plate oscillating heat pipe with tandem dual channels under nonuniform heating. International Journal of Heat and Mass Transfer, 2021, 180: 121830.
[12] Wang S.X., Li K.X., Tian Y., Wang J.Y., Wu Y.K., Ji S., Improved thermal performance of a large laminated lithium-ion power battery by reciprocating air flow. Applied Thermal Engineering, 2019, 152: 445–454.
[13] Ren H., Jia L., Dang C., Yang C., Jia H., Liu J., Experimental investigation on pouch lithium-ion battery thermal management with mini-channels cooling plate based on heat generation characteristic. Journal of Thermal Science, 2022, 31(3): 816–829.
[14] Wei L., Jia L., An Z., Dang C., Experimental study on thermal management of cylindrical Li-ion battery with flexible microchannel plates. Journal of Thermal Science, 2020, 29(4): 1001–1009.
[15] Sait H., Cooling a plate lithium-ion battery using a thermoelectric system and evaluating the geometrical impact on the performance of heatsink connected to the system. Journal of Energy Storage, 2022, 52: 104692.
[16] Gulfam R., Zhu W., Xu L., et al., Design, fabrication and numerical analysis of compact thermal management system integrated with composite phase change material and thermal bridge. Energy Conversion and Management, 2018, 156: 25–33.
[17] Huang Y.P., Cao D.C., Sun D.K., Liu X.D., Experimental and numerical studies on the heat transfer improvement of a latent heat storage unit using gradient tree-shaped fins. International Journal of Heat and Mass Transfer, 2022, 182: 121920.
[18] Huang Y.P., Liu X.D., Charging and discharging enhancement of a vertical latent heat storage unit by fractal tree-shaped fins. Renewable Energy, 2021, 174: 199–217.
[19] Cen J., Jiang F., Li-ion power battery temperature control by a battery thermal management and vehicle cabin air conditioning integrated system. Energy for Sustainable Development, 2020, 57: 141–148.
[20] Yang H., Li M., Wang Z., Ma B., A compact and lightweight hybrid liquid cooling system coupling with Z-type cold plates and PCM composite for battery thermal management. Energy, 2023, 263: 126026.
[21] Gulfam R., Zhang P., Meng Z.N., Advanced thermal systems driven by paraffin-based phase change materials - A review. Applied Energy, 2019, 238: 582–611.
[22] Cao J., Ling Z., Lin X., Wu Y., Fang X., Zhang Z., Flexible composite phase change material with enhanced thermophysical, dielectric, and mechanical properties for battery thermal management. Journal of Energy Storage, 2022, 52: 104796.
[23] Thakur A.K., Prabakaran R., Elkadeem M.R., et al., A state of art review and future viewpoint on advance cooling techniques for Lithium-ion battery system of electric vehicles. Journal of Energy Storage, 2020, 32: 101771.
[24] Peng P., Wang Y., Jiang F., Numerical study of PCM thermal behavior of a novel PCM-heat pipe combined system for Li-ion battery thermal management. Applied Thermal Engineering, 2022, 209: 118293.
[25] Basu S., Hariharan K.S., Kolake S.M., et al., Coupled electrochemical thermal modelling of a novel Li-ion battery pack thermal management system. Applied Energy, 2016, 181: 1–13.
[26] Akbarzadeh M., Jaguemont J., Kalogiannis T., et al., A novel liquid cooling plate concept for thermal management of lithium-ion batteries in electric vehicles. Energy Conversion and Management, 2021, 231: 113862.
[27] Wang R., Liang Z., Souri M., Esfahani M.N., Jabbari M., Numerical analysis of lithium-ion battery thermal management system using phase change material assisted by liquid cooling method. International Journal of Heat and Mass Transfer, 2022, 183: 122095.
[28] Kim J., Oh J., Lee H., Review on battery thermal management system for electric vehicles. Applied Thermal Engineering, 2019, 149: 192–212.
[29] Liu Y., Zhang J., Self-adapting J-type air-based battery thermal management system via model predictive control. Applied Energy, 2020, 263: 114640.
[30] Du X., Qian Z., Chen Z., Rao Z., Experimental investigation on mini-channel cooling-based thermal management for Li-ion battery module under different cooling schemes. International Journal of Energy Research, 2018, 42(8): 2781–2788.
[31] He F., Ma L., Thermal management of batteries employing active temperature control and reciprocating cooling flow. International Journal of Heat and Mass Transfer, 2015, 83: 164–172.
[32] Zhao Z.H., Improved fuzzy logic control-based energy management strategy for hybrid power system of FC/PV/battery/SC on tourist ship. International Journal of Hydrogen Energy, 2022, 47(16): 9719–9734.
[33] Farah N., Talib M.H.N., Mohdshah N.S., et al., A novel self-tuning fuzzy logic controller based induction motor drive system: An experimental approach. IEEE Access, 2019, 7: 68172–68184.
[34] Arcosaviles D., Pascual J., Guinjoan F., et al., An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid. IEEE Access, 2021, 9: 25172–25188.
[35] Bernal E., Lagunes M.L., Castillo O., Soria J., Valdez F., Optimization of type-2 fuzzy logic controller design using the GSO and FA algorithms. International Journal of Fuzzy Systems, 2021, 23: 42–57.
[36] Jeon D.H., Baek S.M., Thermal modeling of cylindrical lithium ion battery during discharge cycle. Energy Conversion and Management, 2011, 52(8–9): 2973–2981.
[37] Jackey R.A., Plett G.L., Klein M.J., Parameterization of a battery simulation model using numerical optimization methods. 2009, SAE technical Paper 2009-01-1381.
[38] Huria T., Ceraolo M., Gazzarri J., Jackey R., High fidelity electrical model with thermal dependence for characterization and simulation of high power lithium battery cells. 2012 IEEE International Electric Vehicle Conference, Greenville, SC, USA, 2012, pp. 1–8.
DOI: 10.1109/IEVC.2012.6183271
[39] Munson B.R., Okiishi T.H., Huebsch W.W., Rothmayer A.P., Fluid mechanics. Wiley Singapore, 2013.
[40] Prabhanjan D.G., Rennie T.J., Vijayaraghavan G.S., Natural convection heat transfer from helical coiled tubes. International Journal of Thermal Science, 2004, 43(4): 359–365.
[41] Ammar S.M., Park C.W., Validation of the Gnielinski correlation for evaluation of heat transfer coefficient of enhanced tubes by non-linear regression model: An experimental study of absorption refrigeration system. International Communications in Heat and Mass Transfer, 2020, 118: 104819.
[42] Shah M.M., Comprehensive correlations for heat transfer during condensation in conventional and mini/micro channels in all orientations. International Journal of Refrigeration, 2016, 67: 22–41.

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