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Characterization and modeling of the thermal mechanics of lithium-ion battery cells

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  • Oh, Ki-Yong
  • Epureanu, Bogdan I.

Abstract

The thermal mechanics of Lithium-ion (Li-ion) batteries is explored with a focus on thermal swelling. Experiments show for the first time that the swelling shape of prismatic battery cells due to temperature variations is significantly different from that due to Li-ion intercalation in unconstrained conditions. In contrast to uniform and orthotropic Li-ion intercalation swelling in a direction perpendicular to electrodes, the nonuniform temperature distribution in the jellyroll and the gaps/voids between electrodes result in distinguishable different swelling shapes. A unique coupled thermal-structural analysis with a simple, but efficient 3-D finite numerical model is proposed to investigate the impact of temperature variations on the thermal behaviors of battery cells. Anisotropic heat conduction and temperature dependency of the coefficient of thermal expansion are taken into account and found to have an impact on temperature distribution and thermal expansion. Experimental validation of the proposed model clearly demonstrates that the coupled thermal-structural analysis with the proposed model can predict accurately the thermal swelling at unconstrained conditions. The solution at pack (constrained) conditions shows that the nonuniform temperature distribution of the jellyroll still plays a critical role for the thermal swelling shape, although the gaps/voids do not occur because of the constraints from spacers in the pack, suggesting that the estimation of core temperature is important. Such an accurate model, able to estimate cell thermal behavior, is beneficial to the design of Li-ion batteries, development of stress or strain sensors, optimum sensor placement, and thermal management of not only single battery cells but also battery packs.

Suggested Citation

  • Oh, Ki-Yong & Epureanu, Bogdan I., 2016. "Characterization and modeling of the thermal mechanics of lithium-ion battery cells," Applied Energy, Elsevier, vol. 178(C), pages 633-646.
  • Handle: RePEc:eee:appene:v:178:y:2016:i:c:p:633-646
    DOI: 10.1016/j.apenergy.2016.06.069
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    as
    1. Sun, Fengchun & Xiong, Rui & He, Hongwen & Li, Weiqing & Aussems, Johan Eric Emmanuel, 2012. "Model-based dynamic multi-parameter method for peak power estimation of lithium–ion batteries," Applied Energy, Elsevier, vol. 96(C), pages 378-386.
    2. Xue, Nansi & Du, Wenbo & Greszler, Thomas A. & Shyy, Wei & Martins, Joaquim R.R.A., 2014. "Design of a lithium-ion battery pack for PHEV using a hybrid optimization method," Applied Energy, Elsevier, vol. 115(C), pages 591-602.
    3. Jalkanen, K. & Karppinen, J. & Skogström, L. & Laurila, T. & Nisula, M. & Vuorilehto, K., 2015. "Cycle aging of commercial NMC/graphite pouch cells at different temperatures," Applied Energy, Elsevier, vol. 154(C), pages 160-172.
    4. Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Han, Xuebing & Ouyang, Minggao, 2015. "Optimization for a hybrid energy storage system in electric vehicles using dynamic programing approach," Applied Energy, Elsevier, vol. 139(C), pages 151-162.
    5. Shah, Rakibuzzaman & Mithulananthan, N. & Bansal, R.C., 2012. "Damping performance analysis of battery energy storage system, ultracapacitor and shunt capacitor with large-scale photovoltaic plants," Applied Energy, Elsevier, vol. 96(C), pages 235-244.
    6. Waag, Wladislaw & Sauer, Dirk Uwe, 2013. "Adaptive estimation of the electromotive force of the lithium-ion battery after current interruption for an accurate state-of-charge and capacity determination," Applied Energy, Elsevier, vol. 111(C), pages 416-427.
    7. Ping, Ping & Wang, Qingsong & Huang, Peifeng & Sun, Jinhua & Chen, Chunhua, 2014. "Thermal behaviour analysis of lithium-ion battery at elevated temperature using deconvolution method," Applied Energy, Elsevier, vol. 129(C), pages 261-273.
    8. Landgrebe, Albert R. & Donley, Samuel W., 1983. "Battery storage in residential applications of energy from photovoltaic sources," Applied Energy, Elsevier, vol. 15(2), pages 127-137.
    9. He, Yao & Liu, XingTao & Zhang, ChenBin & Chen, ZongHai, 2013. "A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries," Applied Energy, Elsevier, vol. 101(C), pages 808-814.
    10. Zhou, Wei & Lou, Chengzhi & Li, Zhongshi & Lu, Lin & Yang, Hongxing, 2010. "Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems," Applied Energy, Elsevier, vol. 87(2), pages 380-389, February.
    11. Hu, Chao & Jain, Gaurav & Zhang, Puqiang & Schmidt, Craig & Gomadam, Parthasarathy & Gorka, Tom, 2014. "Data-driven method based on particle swarm optimization and k-nearest neighbor regression for estimating capacity of lithium-ion battery," Applied Energy, Elsevier, vol. 129(C), pages 49-55.
    12. Ekren, Orhan & Ekren, Banu Y., 2010. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing," Applied Energy, Elsevier, vol. 87(2), pages 592-598, February.
    13. Villa, Juan Luis & Sallán, Jesús & Llombart, Andrés & Sanz, José Fco, 2009. "Design of a high frequency Inductively Coupled Power Transfer system for electric vehicle battery charge," Applied Energy, Elsevier, vol. 86(3), pages 355-363, March.
    14. McManus, M.C., 2012. "Environmental consequences of the use of batteries in low carbon systems: The impact of battery production," Applied Energy, Elsevier, vol. 93(C), pages 288-295.
    15. Hu, Xiaosong & Murgovski, Nikolce & Johannesson, Lars & Egardt, Bo, 2013. "Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes," Applied Energy, Elsevier, vol. 111(C), pages 1001-1009.
    16. Kang, LiuWang & Zhao, Xuan & Ma, Jian, 2014. "A new neural network model for the state-of-charge estimation in the battery degradation process," Applied Energy, Elsevier, vol. 121(C), pages 20-27.
    17. Rao, Zhonghao & Wang, Shuangfeng, 2011. "A review of power battery thermal energy management," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4554-4571.
    18. Xiong, Rui & Sun, Fengchun & Chen, Zheng & He, Hongwen, 2014. "A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion olymer battery in electric vehicles," Applied Energy, Elsevier, vol. 113(C), pages 463-476.
    19. Xiong, Rui & Sun, Fengchun & Gong, Xianzhi & Gao, Chenchen, 2014. "A data-driven based adaptive state of charge estimator of lithium-ion polymer battery used in electric vehicles," Applied Energy, Elsevier, vol. 113(C), pages 1421-1433.
    20. Lujano-Rojas, Juan M. & Dufo-López, Rodolfo & Bernal-Agustín, José L., 2012. "Optimal sizing of small wind/battery systems considering the DC bus voltage stability effect on energy capture, wind speed variability, and load uncertainty," Applied Energy, Elsevier, vol. 93(C), pages 404-412.
    21. Ling, Ziye & Chen, Jiajie & Fang, Xiaoming & Zhang, Zhengguo & Xu, Tao & Gao, Xuenong & Wang, Shuangfeng, 2014. "Experimental and numerical investigation of the application of phase change materials in a simulative power batteries thermal management system," Applied Energy, Elsevier, vol. 121(C), pages 104-113.
    22. Marongiu, Andrea & Roscher, Marco & Sauer, Dirk Uwe, 2015. "Influence of the vehicle-to-grid strategy on the aging behavior of lithium battery electric vehicles," Applied Energy, Elsevier, vol. 137(C), pages 899-912.
    23. Zhong, Liang & Zhang, Chenbin & He, Yao & Chen, Zonghai, 2014. "A method for the estimation of the battery pack state of charge based on in-pack cells uniformity analysis," Applied Energy, Elsevier, vol. 113(C), pages 558-564.
    24. Jin, L.W. & Lee, P.S. & Kong, X.X. & Fan, Y. & Chou, S.K., 2014. "Ultra-thin minichannel LCP for EV battery thermal management," Applied Energy, Elsevier, vol. 113(C), pages 1786-1794.
    25. Omar, Noshin & Monem, Mohamed Abdel & Firouz, Yousef & Salminen, Justin & Smekens, Jelle & Hegazy, Omar & Gaulous, Hamid & Mulder, Grietus & Van den Bossche, Peter & Coosemans, Thierry & Van Mierlo, J, 2014. "Lithium iron phosphate based battery – Assessment of the aging parameters and development of cycle life model," Applied Energy, Elsevier, vol. 113(C), pages 1575-1585.
    26. Darcovich, K. & Henquin, E.R. & Kenney, B. & Davidson, I.J. & Saldanha, N. & Beausoleil-Morrison, I., 2013. "Higher-capacity lithium ion battery chemistries for improved residential energy storage with micro-cogeneration," Applied Energy, Elsevier, vol. 111(C), pages 853-861.
    27. Mulder, Grietus & Six, Daan & Claessens, Bert & Broes, Thijs & Omar, Noshin & Mierlo, Joeri Van, 2013. "The dimensioning of PV-battery systems depending on the incentive and selling price conditions," Applied Energy, Elsevier, vol. 111(C), pages 1126-1135.
    28. Dai, Haifeng & Wei, Xuezhe & Sun, Zechang & Wang, Jiayuan & Gu, Weijun, 2012. "Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications," Applied Energy, Elsevier, vol. 95(C), pages 227-237.
    29. Liu, Rui & Chen, Jixin & Xun, Jingzhi & Jiao, Kui & Du, Qing, 2014. "Numerical investigation of thermal behaviors in lithium-ion battery stack discharge," Applied Energy, Elsevier, vol. 132(C), pages 288-297.
    30. Song, Ziyou & Hofmann, Heath & Li, Jianqiu & Hou, Jun & Han, Xuebing & Ouyang, Minggao, 2014. "Energy management strategies comparison for electric vehicles with hybrid energy storage system," Applied Energy, Elsevier, vol. 134(C), pages 321-331.
    31. Khayyam, Hamid & Abawajy, Jemal & Javadi, Bahman & Goscinski, Andrzej & Stojcevski, Alex & Bab-Hadiashar, Alireza, 2013. "Intelligent battery energy management and control for vehicle-to-grid via cloud computing network," Applied Energy, Elsevier, vol. 111(C), pages 971-981.
    32. Capasso, Clemente & Veneri, Ottorino, 2014. "Experimental analysis on the performance of lithium based batteries for road full electric and hybrid vehicles," Applied Energy, Elsevier, vol. 136(C), pages 921-930.
    33. Rothgang, Susanne & Baumhöfer, Thorsten & van Hoek, Hauke & Lange, Tobias & De Doncker, Rik W. & Sauer, Dirk Uwe, 2015. "Modular battery design for reliable, flexible and multi-technology energy storage systems," Applied Energy, Elsevier, vol. 137(C), pages 931-937.
    34. Hu, Xiaosong & Johannesson, Lars & Murgovski, Nikolce & Egardt, Bo, 2015. "Longevity-conscious dimensioning and power management of the hybrid energy storage system in a fuel cell hybrid electric bus," Applied Energy, Elsevier, vol. 137(C), pages 913-924.
    35. Zhao, Rui & Liu, Jie & Gu, Junjie, 2015. "The effects of electrode thickness on the electrochemical and thermal characteristics of lithium ion battery," Applied Energy, Elsevier, vol. 139(C), pages 220-229.
    36. Ekren, Orhan & Ekren, Banu Yetkin, 2008. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology," Applied Energy, Elsevier, vol. 85(11), pages 1086-1101, November.
    37. Ekren, Orhan & Ekren, Banu Y. & Ozerdem, Baris, 2009. "Break-even analysis and size optimization of a PV/wind hybrid energy conversion system with battery storage - A case study," Applied Energy, Elsevier, vol. 86(7-8), pages 1043-1054, July.
    38. Song, Ziyou & Li, Jianqiu & Han, Xuebing & Xu, Liangfei & Lu, Languang & Ouyang, Minggao & Hofmann, Heath, 2014. "Multi-objective optimization of a semi-active battery/supercapacitor energy storage system for electric vehicles," Applied Energy, Elsevier, vol. 135(C), pages 212-224.
    39. Miranda, Á.G. & Hong, C.W., 2013. "Integrated modeling for the cyclic behavior of high power Li-ion batteries under extended operating conditions," Applied Energy, Elsevier, vol. 111(C), pages 681-689.
    40. Eakburanawat, Jensak & Boonyaroonate, Itsda, 2006. "Development of a thermoelectric battery-charger with microcontroller-based maximum power point tracking technique," Applied Energy, Elsevier, vol. 83(7), pages 687-704, July.
    41. Ling, Ziye & Wang, Fangxian & Fang, Xiaoming & Gao, Xuenong & Zhang, Zhengguo, 2015. "A hybrid thermal management system for lithium ion batteries combining phase change materials with forced-air cooling," Applied Energy, Elsevier, vol. 148(C), pages 403-409.
    42. Barelli, Linda & Bidini, Gianni & Ottaviano, Andrea, 2012. "Optimization of a PEMFC/battery pack power system for a bus application," Applied Energy, Elsevier, vol. 97(C), pages 777-784.
    43. Wang, Tao & Tseng, K.J. & Zhao, Jiyun & Wei, Zhongbao, 2014. "Thermal investigation of lithium-ion battery module with different cell arrangement structures and forced air-cooling strategies," Applied Energy, Elsevier, vol. 134(C), pages 229-238.
    44. Ng, Selina S.Y. & Xing, Yinjiao & Tsui, Kwok L., 2014. "A naive Bayes model for robust remaining useful life prediction of lithium-ion battery," Applied Energy, Elsevier, vol. 118(C), pages 114-123.
    45. Wang, Yujie & Zhang, Chenbin & Chen, Zonghai, 2015. "A method for state-of-charge estimation of Li-ion batteries based on multi-model switching strategy," Applied Energy, Elsevier, vol. 137(C), pages 427-434.
    46. Roy, Anindita & Kedare, Shireesh B. & Bandyopadhyay, Santanu, 2010. "Optimum sizing of wind-battery systems incorporating resource uncertainty," Applied Energy, Elsevier, vol. 87(8), pages 2712-2727, August.
    47. Dong, Guangzhong & Zhang, Xu & Zhang, Chenbin & Chen, Zonghai, 2015. "A method for state of energy estimation of lithium-ion batteries based on neural network model," Energy, Elsevier, vol. 90(P1), pages 879-888.
    48. Anna, Petrenko, 2016. "Мaркування готової продукції як складова частина інформаційного забезпечення маркетингової діяльності підприємств овочепродуктового підкомплексу," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 2(1), March.
    49. Waag, Wladislaw & Käbitz, Stefan & Sauer, Dirk Uwe, 2013. "Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application," Applied Energy, Elsevier, vol. 102(C), pages 885-897.
    50. Roy, Anindita & Kedare, Shireesh B. & Bandyopadhyay, Santanu, 2009. "Application of design space methodology for optimum sizing of wind-battery systems," Applied Energy, Elsevier, vol. 86(12), pages 2690-2703, December.
    51. Perng, Shiang-Wuu & Wu, Horng-Wen, 2011. "Non-isothermal transport phenomenon and cell performance of a cathodic PEM fuel cell with a baffle plate in a tapered channel," Applied Energy, Elsevier, vol. 88(1), pages 52-67, January.
    52. Han, Sekyung & Han, Soohee & Aki, Hirohisa, 2014. "A practical battery wear model for electric vehicle charging applications," Applied Energy, Elsevier, vol. 113(C), pages 1100-1108.
    53. Kalantar, M. & Mousavi G., S.M., 2010. "Dynamic behavior of a stand-alone hybrid power generation system of wind turbine, microturbine, solar array and battery storage," Applied Energy, Elsevier, vol. 87(10), pages 3051-3064, October.
    54. Ekren, Banu Y. & Ekren, Orhan, 2009. "Simulation based size optimization of a PV/wind hybrid energy conversion system with battery storage under various load and auxiliary energy conditions," Applied Energy, Elsevier, vol. 86(9), pages 1387-1394, September.
    55. Liu, Xingtao & Chen, Zonghai & Zhang, Chenbin & Wu, Ji, 2014. "A novel temperature-compensated model for power Li-ion batteries with dual-particle-filter state of charge estimation," Applied Energy, Elsevier, vol. 123(C), pages 263-272.
    56. Zheng, Yuejiu & Ouyang, Minggao & Lu, Languang & Li, Jianqiu & Han, Xuebing & Xu, Liangfei & Ma, Hongbin & Dollmeyer, Thomas A. & Freyermuth, Vincent, 2013. "Cell state-of-charge inconsistency estimation for LiFePO4 battery pack in hybrid electric vehicles using mean-difference model," Applied Energy, Elsevier, vol. 111(C), pages 571-580.
    57. Ng, Kong Soon & Moo, Chin-Sien & Chen, Yi-Ping & Hsieh, Yao-Ching, 2009. "Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries," Applied Energy, Elsevier, vol. 86(9), pages 1506-1511, September.
    58. Tang, Yong & Yuan, Wei & Pan, Minqiang & Li, Zongtao & Chen, Guoqing & Li, Yong, 2010. "Experimental investigation of dynamic performance and transient responses of a kW-class PEM fuel cell stack under various load changes," Applied Energy, Elsevier, vol. 87(4), pages 1410-1417, April.
    59. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Yusta-Loyo, José M. & Domínguez-Navarro, José A. & Ramírez-Rosado, Ignacio J. & Lujano, Juan & Aso, Ismael, 2011. "Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage," Applied Energy, Elsevier, vol. 88(11), pages 4033-4041.
    60. Tang, Yong & Yuan, Wei & Pan, Minqiang & Wan, Zhenping, 2011. "Experimental investigation on the dynamic performance of a hybrid PEM fuel cell/battery system for lightweight electric vehicle application," Applied Energy, Elsevier, vol. 88(1), pages 68-76, January.
    61. Torres, J.L. & Gonzalez, R. & Gimenez, A. & Lopez, J., 2014. "Energy management strategy for plug-in hybrid electric vehicles. A comparative study," Applied Energy, Elsevier, vol. 113(C), pages 816-824.
    62. Hu, Chao & Jain, Gaurav & Tamirisa, Prabhakar & Gorka, Tom, 2014. "Method for estimating capacity and predicting remaining useful life of lithium-ion battery," Applied Energy, Elsevier, vol. 126(C), pages 182-189.
    63. Saw, L.H. & Ye, Y. & Tay, A.A.O., 2014. "Electro-thermal analysis and integration issues of lithium ion battery for electric vehicles," Applied Energy, Elsevier, vol. 131(C), pages 97-107.
    64. Truchot, Cyril & Dubarry, Matthieu & Liaw, Bor Yann, 2014. "State-of-charge estimation and uncertainty for lithium-ion battery strings," Applied Energy, Elsevier, vol. 119(C), pages 218-227.
    65. Wu, Xiaolan & Cao, Binggang & Li, Xueyan & Xu, Jun & Ren, Xiaolong, 2011. "Component sizing optimization of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 88(3), pages 799-804, March.
    66. Ma, Tao & Yang, Hongxing & Lu, Lin, 2014. "A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote island," Applied Energy, Elsevier, vol. 121(C), pages 149-158.
    67. Xing, Yinjiao & He, Wei & Pecht, Michael & Tsui, Kwok Leung, 2014. "State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures," Applied Energy, Elsevier, vol. 113(C), pages 106-115.
    68. Hu, Chao & Youn, Byeng D. & Chung, Jaesik, 2012. "A multiscale framework with extended Kalman filter for lithium-ion battery SOC and capacity estimation," Applied Energy, Elsevier, vol. 92(C), pages 694-704.
    69. Jhu, Can-Yong & Wang, Yih-Wen & Wen, Chia-Yuan & Shu, Chi-Min, 2012. "Thermal runaway potential of LiCoO2 and Li(Ni1/3Co1/3Mn1/3)O2 batteries determined with adiabatic calorimetry methodology," Applied Energy, Elsevier, vol. 100(C), pages 127-131.
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