Accuracy assessment of an internal resistance model of Li-ion batteries in immersion cooling configuration
This paper proposes an innovative way to deal with the uncertainties related to internal resistance of Li-ion batteries using experimental data and numerical simulation. First, a CFD model is used to reproduce an experimental configuration representing the behavior of heated Li-ion battery cells und...
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| Published in | Applied thermal engineering Vol. 220; no. 119656; p. 119656 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Ltd
05.02.2023
Elsevier |
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| Abstract | This paper proposes an innovative way to deal with the uncertainties related to internal resistance of Li-ion batteries using experimental data and numerical simulation. First, a CFD model is used to reproduce an experimental configuration representing the behavior of heated Li-ion battery cells under constant discharging current conditions. Secondly, an Uncertainty Quantification based methodology is proposed to represent the internal resistance and its inherent uncertainties. The impact of those uncertainties on the temperature evolution of Li-ion cells is quantified. A Bayesian inference of the internal resistance model parameters using experimental measurements is performed, reducing the prediction uncertainty by almost 95% for some temperatures of interest. Finally, an enhanced internal model is constructed by considering the state of charge and temperature dependency on internal resistance. The resulting temperature evolution computed with the two different resistance models is compared for the low state of charge situations.
•A CFD model is validated against an experimental case of immersed Li-ion batteries.•Uncertainties on the internal resistance model parameters are modeled.•The solver’s temperature prediction is improved using Bayesian calibration.•The uncertainties in the temperature prediction are significantly reduced.•Overheating due to low state of charge is shown with an enhanced resistance model. |
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| AbstractList | This paper proposes an innovative way to deal with the uncertainties related to internal resistance of Li-ion batteries using experimental data and numerical simulation. First, a CFD model is used to reproduce an experimental configuration representing the behavior of heated Li-ion battery cells under constant discharging current conditions. Secondly, an Uncertainty Quantification based methodology is proposed to represent the internal resistance and its inherent uncertainties. The impact of those uncertainties on the temperature evolution of Li-ion cells is quantified. A Bayesian inference of the internal resistance model parameters using experimental measurements is performed, reducing the prediction uncertainty by almost 95% for some temperatures of interest. Finally, an enhanced internal model is constructed by considering the state of charge and temperature dependency on internal resistance. The resulting temperature evolution computed with the two different resistance models is compared for the low state of charge situations.
•A CFD model is validated against an experimental case of immersed Li-ion batteries.•Uncertainties on the internal resistance model parameters are modeled.•The solver’s temperature prediction is improved using Bayesian calibration.•The uncertainties in the temperature prediction are significantly reduced.•Overheating due to low state of charge is shown with an enhanced resistance model. Internal resistance is a critical parameter of the thermal behavior of Li-ion battery cells. This paper proposes an innovative way to deal with the uncertainties related to this physical parameter using experimental data and numerical simulation. First, a CFD model is validated against an experimental configuration representing the behavior of heated Li-ion battery cells under constant discharging current conditions. Secondly, an Uncertainty Quantification based methodology is proposed to represent the internal resistance and its inherent uncertainties. Thanks to an accurate and fast to compute surrogate model, the impact of those uncertainties on the temperature evolution of Li-ion cells is quantified. Finally, Bayesian inference of the internal resistance model parameters using experimental measurements is performed, reducing the prediction uncertainty by almost 95% for some temperatures of interest. Finally, an enhanced internal model is constructed by considering the state of charge and temperature dependency on internal resistance. This model is implemented in the CFD code and used to model a full discharge of the Li-ion batteries. The resulting temperature evolution computed with the two different resistance models is compared for the low state of charge situations. |
| ArticleNumber | 119656 |
| Author | Solai, Elie Beaugendre, Héloïse Bieder, Ulrich Congedo, Pietro Marco |
| Author_xml | – sequence: 1 givenname: Elie orcidid: 0000-0003-2269-1431 surname: Solai fullname: Solai, Elie email: elie@solai.fr organization: Arts et Metiers Institute of Technology, CNAM, LIFSE, HESAM University, Paris, 75013, France – sequence: 2 givenname: Héloïse surname: Beaugendre fullname: Beaugendre, Héloïse organization: Inria, Univ. Bordeaux, CNRS, Bordeaux INP, Institut de Mathématiques de Bordeaux, Bordeaux, 33000, France – sequence: 3 givenname: Ulrich surname: Bieder fullname: Bieder, Ulrich organization: DES-STMF, CEA, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France – sequence: 4 givenname: Pietro Marco surname: Congedo fullname: Congedo, Pietro Marco organization: Inria, CMAP, CNRS, Ecole Polytechnique, IPP, Palaiseau, France |
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| Cites_doi | 10.1016/j.apenergy.2016.05.122 10.1063/1.1699114 10.1109/INTLEC.2018.8612411 10.2307/3318737 10.1016/S0951-8320(03)00058-9 10.3390/en13010062 10.1061/(ASCE)SU.1943-5428.0000251 10.1016/j.apenergy.2016.08.049 10.1002/fam.2690 10.1149/1.2221597 10.1149/1.2113792 10.1039/C5TA00361J 10.1016/j.ijheatmasstransfer.2019.04.137 10.1115/1.4038258 10.1016/j.energy.2017.06.167 10.1016/0017-9310(72)90076-2 10.1002/er.4095 10.1080/02693799008941549 10.1016/j.rser.2016.05.033 10.1093/biomet/57.1.97 10.1016/j.jpowsour.2013.03.050 10.1016/j.energy.2019.116467 10.1007/s11222-011-9296-2 10.1016/j.enconman.2011.04.013 10.3390/en10101486 10.2514/1.8650 10.1002/er.1956 10.1016/j.jpowsour.2011.02.076 10.4271/2003-01-2286 10.1111/1467-9868.00294 10.1016/j.egyr.2021.05.027 10.3390/en12163045 10.1016/j.ijheatmasstransfer.2014.01.038 10.1016/j.applthermaleng.2018.11.009 10.1016/j.est.2020.101885 |
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| Issue | 119656 |
| Keywords | Lithium-ion batteries Bayesian calibration Surrogate model Immersion cooling Uncertainty quantification Numerical simulation Kriging |
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| References | Saw, Ye, Tay, Chong, Kuan, Yew (b13) 2016; 177 Li, Wang, Liao, Wu Lingfei, Li Junfeng, Guo Yanjie (b25) 2014 Donnet (b43) 2021 Stroe, Swierczynski, Kar, Teodorescu (b48) 2016 Oliver, Webster (b51) 1990; 4 Sato (b2) 2001 Robert, Casella (b38) 2008 Andre, Kim, Lamp, Lux, Maglia, Paschos, Stiaszny (b1) 2015 Chalise, Shah, Prasher, Jain (b9) 2018; 15 Liu (b37) 2008 E.B. Haghighi, M. Moghaddam, Analyzing Thermal Management Methods of Li-ion Battery Modules, in: 2018 IEEE International Telecommunications Energy Conference (INTELEC), 2018, pp. 1–4 Hastings (b41) 1970; 57 Park, Jaura (b19) 2003 Xia, Liu, Huang, Yang, Lai, Zheng, Wang, Wang, Wang (b18) 2019; 12 Jeon, Baek (b14) 2011; 52 Li, Zhou, Wu (b12) 2019; 147 Metropolis, Rosenbluth, Rosenbluth, Teller, Teller (b40) 1953; 21 Heikki, Eero, Johanna (b39) 2001; 7 Bernardi (b16) 1985; 132 Santner, Williams, Notz (b52) 2018 Kennedy, OH́agan (b36) 2001; 63 Chen, Zhang, Ding, Wu, Li, Liang, Li, Pan (b49) 2021; 7 Basu, Hariharan, Kolake, Song, Sohn, Yeo (b15) 2016; 181 Martin, Simpson (b34) 2005; 43 . Rasmussen (b33) 2006 Wang, Tong, Liu, Shu, Jiang, Luo, Wang (b26) 2019; 43 Camilleri, Sawani (b6) 2018 Damay, Forgez, Bichat, Friedrich, Ospina (b22) 2013 Zhang, Fan, Wang, Li, Sauer (b24) 2020; 32 Mahamud, Park (b5) 2011; 196 Cao, Zhao, Wang, Dong, Jiang (b17) 2019; 138 Fan, Khodadadi, Pesaran (b8) 2013; 238 Wu, Fu, Xu, Chen (b46) 2017; 10 He, Li, Ma (b21) 2014; 72 TrioCFD, CEA, URL Kleiner, Komsiyska, Elger, Endisch (b23) 2019; 13 Li, Yuan, Li, Wang (b28) 2020; 190 Jones, Launder (b31) 1972; 15 Ansean, Gonzalez, Viera, Garcia, Alvarez, Blanco (b44) 2014 Jilte, Kumar (b7) 2018 Xiongping, Jieqing, Zheng, Feng, Dingrong, Chunyan, Xin, Linhua, Juqiong (b45) 2021 Karimi, Li (b20) 2013; 37 Yang, Wei, Dai, Zhu, Xu (b47) 2014 Sanchez-Reyes (b32) 2018; 144 Al-Zareer, Dincer, Rosen (b3) 2018; 42 Krige (b50) 1951 Griffin, Walker (b42) 2013; 23 She, Zhang, Wang, Sun, Liu, Song (b27) 2021 Helton, Davis (b35) 2003; 81 Wang, Jiang, Li, Yan (b11) 2016; 64 Doyle, Fuller, Newman (b10) 1993; 140 Lu, Zhang, Ma, Chen, Tao, Su, Chong, Jin, Lin (b29) 2017; 137 Jones (10.1016/j.applthermaleng.2022.119656_b31) 1972; 15 Lu (10.1016/j.applthermaleng.2022.119656_b29) 2017; 137 Helton (10.1016/j.applthermaleng.2022.119656_b35) 2003; 81 Zhang (10.1016/j.applthermaleng.2022.119656_b24) 2020; 32 Cao (10.1016/j.applthermaleng.2022.119656_b17) 2019; 138 Basu (10.1016/j.applthermaleng.2022.119656_b15) 2016; 181 Bernardi (10.1016/j.applthermaleng.2022.119656_b16) 1985; 132 Wang (10.1016/j.applthermaleng.2022.119656_b26) 2019; 43 Wu (10.1016/j.applthermaleng.2022.119656_b46) 2017; 10 Chalise (10.1016/j.applthermaleng.2022.119656_b9) 2018; 15 Andre (10.1016/j.applthermaleng.2022.119656_b1) 2015 Doyle (10.1016/j.applthermaleng.2022.119656_b10) 1993; 140 Li (10.1016/j.applthermaleng.2022.119656_b12) 2019; 147 10.1016/j.applthermaleng.2022.119656_b4 Kleiner (10.1016/j.applthermaleng.2022.119656_b23) 2019; 13 Robert (10.1016/j.applthermaleng.2022.119656_b38) 2008 Park (10.1016/j.applthermaleng.2022.119656_b19) 2003 Karimi (10.1016/j.applthermaleng.2022.119656_b20) 2013; 37 Sanchez-Reyes (10.1016/j.applthermaleng.2022.119656_b32) 2018; 144 Donnet (10.1016/j.applthermaleng.2022.119656_b43) 2021 He (10.1016/j.applthermaleng.2022.119656_b21) 2014; 72 Santner (10.1016/j.applthermaleng.2022.119656_b52) 2018 Al-Zareer (10.1016/j.applthermaleng.2022.119656_b3) 2018; 42 Krige (10.1016/j.applthermaleng.2022.119656_b50) 1951 Rasmussen (10.1016/j.applthermaleng.2022.119656_b33) 2006 She (10.1016/j.applthermaleng.2022.119656_b27) 2021 Jeon (10.1016/j.applthermaleng.2022.119656_b14) 2011; 52 Oliver (10.1016/j.applthermaleng.2022.119656_b51) 1990; 4 Xia (10.1016/j.applthermaleng.2022.119656_b18) 2019; 12 Liu (10.1016/j.applthermaleng.2022.119656_b37) 2008 Chen (10.1016/j.applthermaleng.2022.119656_b49) 2021; 7 Mahamud (10.1016/j.applthermaleng.2022.119656_b5) 2011; 196 Yang (10.1016/j.applthermaleng.2022.119656_b47) 2014 Stroe (10.1016/j.applthermaleng.2022.119656_b48) 2016 Kennedy (10.1016/j.applthermaleng.2022.119656_b36) 2001; 63 Li (10.1016/j.applthermaleng.2022.119656_b28) 2020; 190 Griffin (10.1016/j.applthermaleng.2022.119656_b42) 2013; 23 Sato (10.1016/j.applthermaleng.2022.119656_b2) 2001 Camilleri (10.1016/j.applthermaleng.2022.119656_b6) 2018 Damay (10.1016/j.applthermaleng.2022.119656_b22) 2013 Li (10.1016/j.applthermaleng.2022.119656_b25) 2014 Jilte (10.1016/j.applthermaleng.2022.119656_b7) 2018 Wang (10.1016/j.applthermaleng.2022.119656_b11) 2016; 64 10.1016/j.applthermaleng.2022.119656_b30 Fan (10.1016/j.applthermaleng.2022.119656_b8) 2013; 238 Ansean (10.1016/j.applthermaleng.2022.119656_b44) 2014 Heikki (10.1016/j.applthermaleng.2022.119656_b39) 2001; 7 Saw (10.1016/j.applthermaleng.2022.119656_b13) 2016; 177 Martin (10.1016/j.applthermaleng.2022.119656_b34) 2005; 43 Metropolis (10.1016/j.applthermaleng.2022.119656_b40) 1953; 21 Xiongping (10.1016/j.applthermaleng.2022.119656_b45) 2021 Hastings (10.1016/j.applthermaleng.2022.119656_b41) 1970; 57 |
| References_xml | – volume: 63 start-page: 425 year: 2001 end-page: 464 ident: b36 article-title: Bayesian calibration of computer models publication-title: J. R. Stat. Soc. Ser. B Stat. Methodol. contributor: fullname: OH́agan – year: 1951 ident: b50 article-title: A Statistical Approach to Some Mine Valuation and Allied Problems on the Witwatersrand contributor: fullname: Krige – volume: 137 start-page: 251 year: 2017 end-page: 259 ident: b29 article-title: Li-ion battery capacity cycling fading dynamics cognition: A stochastic approach publication-title: Energy contributor: fullname: Lin – start-page: 1 year: 2014 end-page: 6 ident: b47 article-title: Lithium-ion battery internal resistance model based on the porous electrode theory publication-title: 2014 IEEE Vehicle Power and Propulsion Conference (VPPC) contributor: fullname: Xu – start-page: 1 year: 2014 end-page: 6 ident: b44 article-title: Electric vehicle li-ion battery evaluation based on internal resistance analysis publication-title: 2014 IEEE Vehicle Power and Propulsion Conference (VPPC) contributor: fullname: Blanco – volume: 10 start-page: 1486 year: 2017 ident: b46 article-title: Improved state of charge estimation for high power lithium ion batteries considering current dependence of internal resistance publication-title: Energies contributor: fullname: Chen – volume: 13 start-page: 62 year: 2019 ident: b23 article-title: Thermal modelling of a prismatic lithium-ion cell in a battery electric vehicle environment: Influences of the experimental validation setup publication-title: Energies contributor: fullname: Endisch – volume: 15 year: 2018 ident: b9 article-title: Conjugate heat transfer analysis of thermal management of a Li-ion battery pack publication-title: J. Electrochem. Energy Convers. Storage contributor: fullname: Jain – start-page: 4694 year: 2013 end-page: 4699 ident: b22 article-title: Thermal modeling and experimental validation of a large prismatic li-ion battery publication-title: IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society contributor: fullname: Ospina – volume: 196 start-page: 5685 year: 2011 end-page: 5696 ident: b5 article-title: Reciprocating air flow for Li-ion battery thermal management to improve temperature uniformity publication-title: J. Power Sources contributor: fullname: Park – start-page: 2003 year: 2003 end-page: 01–2286 ident: b19 article-title: Dynamic thermal model of Li-ion battery for predictive behavior in hybrid and fuel cell vehicles publication-title: SAE Technical Paper contributor: fullname: Jaura – year: 2006 ident: b33 article-title: Gaussian Process for Machine Learning contributor: fullname: Rasmussen – volume: 21 start-page: 1087 year: 1953 end-page: 1092 ident: b40 article-title: Equation of state calculations by fast computing machines publication-title: J. Chem. Phys. contributor: fullname: Teller – year: 2021 ident: b45 article-title: State of charge and lithium manganate batteries internal resistance estimation at low charge/discharge rates publication-title: Int. J. Electrochem. Sci. contributor: fullname: Juqiong – start-page: 95 year: 2021 ident: b43 article-title: Bayesian inference for latent variable models contributor: fullname: Donnet – volume: 37 start-page: 13 year: 2013 end-page: 24 ident: b20 article-title: Thermal management of lithium-ion batteries for electric vehicles publication-title: Int. J. Energy Res. contributor: fullname: Li – year: 2018 ident: b7 article-title: Numerical investigation on cooling performance of li-ion battery thermal management system at high galvanostatic discharge publication-title: Eng. Sci. Technol. Int. J. contributor: fullname: Kumar – volume: 147 start-page: 829 year: 2019 end-page: 840 ident: b12 article-title: Three-dimensional thermal modeling of Li-ion battery cell and 50 V li-ion battery pack cooled by mini-channel cold plate publication-title: Appl. Therm. Eng. contributor: fullname: Wu – volume: 23 start-page: 123 year: 2013 end-page: 134 ident: b42 article-title: On adaptive Metropolis–Hastings methods publication-title: Stat. Comput. contributor: fullname: Walker – year: 2015 ident: b1 article-title: Future generations of cathode materials: An automotive industry perspective (review) publication-title: J. Mater. Chem. A contributor: fullname: Stiaszny – volume: 238 start-page: 301 year: 2013 end-page: 312 ident: b8 article-title: A parametric study on thermal management of an air-cooled lithium-ion battery module for plug-in hybrid electric vehicles publication-title: J. Power Sources contributor: fullname: Pesaran – start-page: 1 year: 2021 ident: b27 article-title: Battery state of health estimation based on incremental capacity analysis method: Synthesizing from cell-level test to real-world application publication-title: IEEE J. Emerg. Sel. Top. Power Electron. contributor: fullname: Song – start-page: 1 year: 2016 end-page: 7 ident: b48 article-title: A comprehensive study on the degradation of lithium-ion batteries during calendar ageing: The internal resistance increase publication-title: 2016 IEEE Energy Conversion Congress and Exposition (ECCE) contributor: fullname: Teodorescu – volume: 42 start-page: 3182 year: 2018 end-page: 3205 ident: b3 article-title: A review of novel thermal management systems for batteries publication-title: Int. J. Energy Res. contributor: fullname: Rosen – volume: 72 start-page: 622 year: 2014 end-page: 629 ident: b21 article-title: Combined experimental and numerical study of thermal management of battery module consisting of multiple Li-ion cells publication-title: Int. J. Heat Mass Transfer contributor: fullname: Ma – start-page: 1 year: 2014 end-page: 6 ident: b25 article-title: Effects of temperature on dynamic characteristics of li-ion batteries in electric vehicle applications publication-title: 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific) contributor: fullname: Guo Yanjie – start-page: 8 year: 2001 ident: b2 article-title: Thermal behavior analysis of lithium-ion batteries for electric and hybrid vehicles publication-title: J. Power Sources contributor: fullname: Sato – volume: 132 start-page: 5 year: 1985 ident: b16 article-title: A general energy balance for battery systems publication-title: J. Electrochem. Soc. contributor: fullname: Bernardi – volume: 4 start-page: 313 year: 1990 end-page: 332 ident: b51 article-title: Kriging: a method of interpolation for geographical information systems publication-title: Int. J. Geogr. Inf. Syst. contributor: fullname: Webster – volume: 177 start-page: 783 year: 2016 end-page: 792 ident: b13 article-title: Computational fluid dynamic and thermal analysis of lithium-ion battery pack with air cooling publication-title: Appl. Energy contributor: fullname: Yew – volume: 64 start-page: 106 year: 2016 end-page: 128 ident: b11 article-title: A critical review of thermal management models and solutions of lithium-ion batteries for the development of pure electric vehicles publication-title: Renew. Sustain. Energy Rev. contributor: fullname: Yan – volume: 7 start-page: 223 year: 2001 end-page: 242 ident: b39 article-title: An adaptive Metropolis algorithm publication-title: Bernoulli contributor: fullname: Johanna – volume: 7 start-page: 3050 year: 2021 end-page: 3059 ident: b49 article-title: Estimation the internal resistance of lithium-ion-battery using a multi-factor dynamic internal resistance model with an error compensation strategy publication-title: Energy Rep. contributor: fullname: Pan – year: 2018 ident: b52 article-title: The design and analysis of computer experiments contributor: fullname: Notz – volume: 190 year: 2020 ident: b28 article-title: State of health estimation for Li-ion battery using incremental capacity analysis and Gaussian process regression publication-title: Energy contributor: fullname: Wang – year: 2008 ident: b38 article-title: Monte Carlo Statistical Methods contributor: fullname: Casella – volume: 43 start-page: 219 year: 2019 end-page: 226 ident: b26 article-title: Calculation methods of heat produced by a lithium-ion battery under charging-discharging condition publication-title: Fire Mater. contributor: fullname: Wang – volume: 81 start-page: 23 year: 2003 end-page: 69 ident: b35 article-title: Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems publication-title: Reliab. Eng. Syst. Saf. contributor: fullname: Davis – start-page: 1 year: 2018 end-page: 6 ident: b6 article-title: Prediction of the heat transfer coefficient in direct oil cooling of lithium-ion batteries publication-title: 2018 5th International Symposium on Environment-Friendly Energies and Applications (EFEA) contributor: fullname: Sawani – volume: 140 start-page: 1526 year: 1993 end-page: 1533 ident: b10 article-title: Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell publication-title: J. Electrochem. Soc. contributor: fullname: Newman – volume: 52 start-page: 2973 year: 2011 end-page: 2981 ident: b14 article-title: Thermal modeling of cylindrical lithium ion battery during discharge cycle publication-title: Energy Convers. Manage. contributor: fullname: Baek – volume: 57 start-page: 14 year: 1970 ident: b41 article-title: Monte Carlo sampling methods using Markov chains and their applications publication-title: Biometrika contributor: fullname: Hastings – volume: 138 start-page: 1178 year: 2019 end-page: 1187 ident: b17 article-title: Thermal modeling of full-size-scale cylindrical battery pack cooled by channeled liquid flow publication-title: Int. J. Heat Mass Transfer contributor: fullname: Jiang – volume: 12 start-page: 3045 year: 2019 ident: b18 article-title: Thermal analysis and improvements of the power battery pack with liquid cooling for electric vehicles publication-title: Energies contributor: fullname: Wang – volume: 32 year: 2020 ident: b24 article-title: Battery heating for lithium-ion batteries based on multi-stage alternative currents publication-title: J. Energy Storage contributor: fullname: Sauer – volume: 181 start-page: 1 year: 2016 end-page: 13 ident: b15 article-title: Coupled electrochemical thermal modelling of a novel Li-ion battery pack thermal management system publication-title: Appl. Energy contributor: fullname: Yeo – year: 2008 ident: b37 article-title: Monte Carlo Strategies in Scientific Computing contributor: fullname: Liu – volume: 15 start-page: 301 year: 1972 end-page: 314 ident: b31 article-title: The prediction of laminarization with a two-equation model of turbulence publication-title: Int. J. Heat Mass Transfer contributor: fullname: Launder – volume: 144 year: 2018 ident: b32 article-title: Nonparametric Bezier representation of polynomial transition curves publication-title: J. Surv. Eng. contributor: fullname: Sanchez-Reyes – volume: 43 start-page: 853 year: 2005 end-page: 863 ident: b34 article-title: Use of kriging models to approximate deterministic computer models publication-title: AIAA J. contributor: fullname: Simpson – volume: 177 start-page: 783 year: 2016 ident: 10.1016/j.applthermaleng.2022.119656_b13 article-title: Computational fluid dynamic and thermal analysis of lithium-ion battery pack with air cooling publication-title: Appl. Energy doi: 10.1016/j.apenergy.2016.05.122 contributor: fullname: Saw – year: 2006 ident: 10.1016/j.applthermaleng.2022.119656_b33 contributor: fullname: Rasmussen – volume: 21 start-page: 1087 issue: 6 year: 1953 ident: 10.1016/j.applthermaleng.2022.119656_b40 article-title: Equation of state calculations by fast computing machines publication-title: J. Chem. Phys. doi: 10.1063/1.1699114 contributor: fullname: Metropolis – ident: 10.1016/j.applthermaleng.2022.119656_b4 doi: 10.1109/INTLEC.2018.8612411 – volume: 7 start-page: 223 issue: 2 year: 2001 ident: 10.1016/j.applthermaleng.2022.119656_b39 article-title: An adaptive Metropolis algorithm publication-title: Bernoulli doi: 10.2307/3318737 contributor: fullname: Heikki – volume: 81 start-page: 23 issue: 1 year: 2003 ident: 10.1016/j.applthermaleng.2022.119656_b35 article-title: Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems publication-title: Reliab. Eng. Syst. Saf. doi: 10.1016/S0951-8320(03)00058-9 contributor: fullname: Helton – volume: 13 start-page: 62 issue: 1 year: 2019 ident: 10.1016/j.applthermaleng.2022.119656_b23 article-title: Thermal modelling of a prismatic lithium-ion cell in a battery electric vehicle environment: Influences of the experimental validation setup publication-title: Energies doi: 10.3390/en13010062 contributor: fullname: Kleiner – volume: 144 issue: 2 year: 2018 ident: 10.1016/j.applthermaleng.2022.119656_b32 article-title: Nonparametric Bezier representation of polynomial transition curves publication-title: J. Surv. Eng. doi: 10.1061/(ASCE)SU.1943-5428.0000251 contributor: fullname: Sanchez-Reyes – year: 2008 ident: 10.1016/j.applthermaleng.2022.119656_b38 contributor: fullname: Robert – volume: 181 start-page: 1 year: 2016 ident: 10.1016/j.applthermaleng.2022.119656_b15 article-title: Coupled electrochemical thermal modelling of a novel Li-ion battery pack thermal management system publication-title: Appl. Energy doi: 10.1016/j.apenergy.2016.08.049 contributor: fullname: Basu – volume: 43 start-page: 219 issue: 2 year: 2019 ident: 10.1016/j.applthermaleng.2022.119656_b26 article-title: Calculation methods of heat produced by a lithium-ion battery under charging-discharging condition publication-title: Fire Mater. doi: 10.1002/fam.2690 contributor: fullname: Wang – start-page: 1 year: 2014 ident: 10.1016/j.applthermaleng.2022.119656_b47 article-title: Lithium-ion battery internal resistance model based on the porous electrode theory contributor: fullname: Yang – volume: 140 start-page: 1526 issue: 6 year: 1993 ident: 10.1016/j.applthermaleng.2022.119656_b10 article-title: Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell publication-title: J. Electrochem. Soc. doi: 10.1149/1.2221597 contributor: fullname: Doyle – volume: 132 start-page: 5 issue: 1 year: 1985 ident: 10.1016/j.applthermaleng.2022.119656_b16 article-title: A general energy balance for battery systems publication-title: J. Electrochem. Soc. doi: 10.1149/1.2113792 contributor: fullname: Bernardi – year: 2015 ident: 10.1016/j.applthermaleng.2022.119656_b1 article-title: Future generations of cathode materials: An automotive industry perspective (review) publication-title: J. Mater. Chem. A doi: 10.1039/C5TA00361J contributor: fullname: Andre – year: 2018 ident: 10.1016/j.applthermaleng.2022.119656_b7 article-title: Numerical investigation on cooling performance of li-ion battery thermal management system at high galvanostatic discharge publication-title: Eng. Sci. Technol. Int. J. contributor: fullname: Jilte – start-page: 4694 year: 2013 ident: 10.1016/j.applthermaleng.2022.119656_b22 article-title: Thermal modeling and experimental validation of a large prismatic li-ion battery contributor: fullname: Damay – year: 2018 ident: 10.1016/j.applthermaleng.2022.119656_b52 contributor: fullname: Santner – volume: 138 start-page: 1178 year: 2019 ident: 10.1016/j.applthermaleng.2022.119656_b17 article-title: Thermal modeling of full-size-scale cylindrical battery pack cooled by channeled liquid flow publication-title: Int. J. Heat Mass Transfer doi: 10.1016/j.ijheatmasstransfer.2019.04.137 contributor: fullname: Cao – volume: 15 issue: 1 year: 2018 ident: 10.1016/j.applthermaleng.2022.119656_b9 article-title: Conjugate heat transfer analysis of thermal management of a Li-ion battery pack publication-title: J. Electrochem. Energy Convers. Storage doi: 10.1115/1.4038258 contributor: fullname: Chalise – volume: 137 start-page: 251 year: 2017 ident: 10.1016/j.applthermaleng.2022.119656_b29 article-title: Li-ion battery capacity cycling fading dynamics cognition: A stochastic approach publication-title: Energy doi: 10.1016/j.energy.2017.06.167 contributor: fullname: Lu – start-page: 1 year: 2018 ident: 10.1016/j.applthermaleng.2022.119656_b6 article-title: Prediction of the heat transfer coefficient in direct oil cooling of lithium-ion batteries contributor: fullname: Camilleri – volume: 15 start-page: 301 issue: 2 year: 1972 ident: 10.1016/j.applthermaleng.2022.119656_b31 article-title: The prediction of laminarization with a two-equation model of turbulence publication-title: Int. J. Heat Mass Transfer doi: 10.1016/0017-9310(72)90076-2 contributor: fullname: Jones – volume: 42 start-page: 3182 issue: 10 year: 2018 ident: 10.1016/j.applthermaleng.2022.119656_b3 article-title: A review of novel thermal management systems for batteries publication-title: Int. J. Energy Res. doi: 10.1002/er.4095 contributor: fullname: Al-Zareer – volume: 4 start-page: 313 issue: 3 year: 1990 ident: 10.1016/j.applthermaleng.2022.119656_b51 article-title: Kriging: a method of interpolation for geographical information systems publication-title: Int. J. Geogr. Inf. Syst. doi: 10.1080/02693799008941549 contributor: fullname: Oliver – start-page: 1 year: 2014 ident: 10.1016/j.applthermaleng.2022.119656_b25 article-title: Effects of temperature on dynamic characteristics of li-ion batteries in electric vehicle applications contributor: fullname: Li – volume: 64 start-page: 106 year: 2016 ident: 10.1016/j.applthermaleng.2022.119656_b11 article-title: A critical review of thermal management models and solutions of lithium-ion batteries for the development of pure electric vehicles publication-title: Renew. Sustain. Energy Rev. doi: 10.1016/j.rser.2016.05.033 contributor: fullname: Wang – volume: 57 start-page: 14 issue: 1 year: 1970 ident: 10.1016/j.applthermaleng.2022.119656_b41 article-title: Monte Carlo sampling methods using Markov chains and their applications publication-title: Biometrika doi: 10.1093/biomet/57.1.97 contributor: fullname: Hastings – volume: 238 start-page: 301 year: 2013 ident: 10.1016/j.applthermaleng.2022.119656_b8 article-title: A parametric study on thermal management of an air-cooled lithium-ion battery module for plug-in hybrid electric vehicles publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2013.03.050 contributor: fullname: Fan – start-page: 95 year: 2021 ident: 10.1016/j.applthermaleng.2022.119656_b43 contributor: fullname: Donnet – volume: 190 year: 2020 ident: 10.1016/j.applthermaleng.2022.119656_b28 article-title: State of health estimation for Li-ion battery using incremental capacity analysis and Gaussian process regression publication-title: Energy doi: 10.1016/j.energy.2019.116467 contributor: fullname: Li – volume: 23 start-page: 123 issue: 1 year: 2013 ident: 10.1016/j.applthermaleng.2022.119656_b42 article-title: On adaptive Metropolis–Hastings methods publication-title: Stat. Comput. doi: 10.1007/s11222-011-9296-2 contributor: fullname: Griffin – volume: 52 start-page: 2973 issue: 8–9 year: 2011 ident: 10.1016/j.applthermaleng.2022.119656_b14 article-title: Thermal modeling of cylindrical lithium ion battery during discharge cycle publication-title: Energy Convers. Manage. doi: 10.1016/j.enconman.2011.04.013 contributor: fullname: Jeon – start-page: 8 year: 2001 ident: 10.1016/j.applthermaleng.2022.119656_b2 article-title: Thermal behavior analysis of lithium-ion batteries for electric and hybrid vehicles publication-title: J. Power Sources contributor: fullname: Sato – volume: 10 start-page: 1486 issue: 10 year: 2017 ident: 10.1016/j.applthermaleng.2022.119656_b46 article-title: Improved state of charge estimation for high power lithium ion batteries considering current dependence of internal resistance publication-title: Energies doi: 10.3390/en10101486 contributor: fullname: Wu – volume: 43 start-page: 853 issue: 4 year: 2005 ident: 10.1016/j.applthermaleng.2022.119656_b34 article-title: Use of kriging models to approximate deterministic computer models publication-title: AIAA J. doi: 10.2514/1.8650 contributor: fullname: Martin – ident: 10.1016/j.applthermaleng.2022.119656_b30 – start-page: 1 year: 2014 ident: 10.1016/j.applthermaleng.2022.119656_b44 article-title: Electric vehicle li-ion battery evaluation based on internal resistance analysis contributor: fullname: Ansean – volume: 37 start-page: 13 issue: 1 year: 2013 ident: 10.1016/j.applthermaleng.2022.119656_b20 article-title: Thermal management of lithium-ion batteries for electric vehicles publication-title: Int. J. Energy Res. doi: 10.1002/er.1956 contributor: fullname: Karimi – year: 2021 ident: 10.1016/j.applthermaleng.2022.119656_b45 article-title: State of charge and lithium manganate batteries internal resistance estimation at low charge/discharge rates publication-title: Int. J. Electrochem. Sci. contributor: fullname: Xiongping – volume: 196 start-page: 5685 issue: 13 year: 2011 ident: 10.1016/j.applthermaleng.2022.119656_b5 article-title: Reciprocating air flow for Li-ion battery thermal management to improve temperature uniformity publication-title: J. Power Sources doi: 10.1016/j.jpowsour.2011.02.076 contributor: fullname: Mahamud – start-page: 2003 year: 2003 ident: 10.1016/j.applthermaleng.2022.119656_b19 article-title: Dynamic thermal model of Li-ion battery for predictive behavior in hybrid and fuel cell vehicles doi: 10.4271/2003-01-2286 contributor: fullname: Park – volume: 63 start-page: 425 issue: 3 year: 2001 ident: 10.1016/j.applthermaleng.2022.119656_b36 article-title: Bayesian calibration of computer models publication-title: J. R. Stat. Soc. Ser. B Stat. Methodol. doi: 10.1111/1467-9868.00294 contributor: fullname: Kennedy – start-page: 1 year: 2016 ident: 10.1016/j.applthermaleng.2022.119656_b48 article-title: A comprehensive study on the degradation of lithium-ion batteries during calendar ageing: The internal resistance increase contributor: fullname: Stroe – start-page: 1 year: 2021 ident: 10.1016/j.applthermaleng.2022.119656_b27 article-title: Battery state of health estimation based on incremental capacity analysis method: Synthesizing from cell-level test to real-world application publication-title: IEEE J. Emerg. Sel. Top. Power Electron. contributor: fullname: She – volume: 7 start-page: 3050 year: 2021 ident: 10.1016/j.applthermaleng.2022.119656_b49 article-title: Estimation the internal resistance of lithium-ion-battery using a multi-factor dynamic internal resistance model with an error compensation strategy publication-title: Energy Rep. doi: 10.1016/j.egyr.2021.05.027 contributor: fullname: Chen – volume: 12 start-page: 3045 issue: 16 year: 2019 ident: 10.1016/j.applthermaleng.2022.119656_b18 article-title: Thermal analysis and improvements of the power battery pack with liquid cooling for electric vehicles publication-title: Energies doi: 10.3390/en12163045 contributor: fullname: Xia – volume: 72 start-page: 622 year: 2014 ident: 10.1016/j.applthermaleng.2022.119656_b21 article-title: Combined experimental and numerical study of thermal management of battery module consisting of multiple Li-ion cells publication-title: Int. J. Heat Mass Transfer doi: 10.1016/j.ijheatmasstransfer.2014.01.038 contributor: fullname: He – volume: 147 start-page: 829 year: 2019 ident: 10.1016/j.applthermaleng.2022.119656_b12 article-title: Three-dimensional thermal modeling of Li-ion battery cell and 50 V li-ion battery pack cooled by mini-channel cold plate publication-title: Appl. Therm. Eng. doi: 10.1016/j.applthermaleng.2018.11.009 contributor: fullname: Li – year: 2008 ident: 10.1016/j.applthermaleng.2022.119656_b37 contributor: fullname: Liu – volume: 32 year: 2020 ident: 10.1016/j.applthermaleng.2022.119656_b24 article-title: Battery heating for lithium-ion batteries based on multi-stage alternative currents publication-title: J. Energy Storage doi: 10.1016/j.est.2020.101885 contributor: fullname: Zhang – year: 1951 ident: 10.1016/j.applthermaleng.2022.119656_b50 contributor: fullname: Krige |
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| Snippet | This paper proposes an innovative way to deal with the uncertainties related to internal resistance of Li-ion batteries using experimental data and numerical... Internal resistance is a critical parameter of the thermal behavior of Li-ion battery cells. This paper proposes an innovative way to deal with the... |
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| SubjectTerms | Bayesian calibration Fluid Dynamics Immersion cooling Kriging Lithium-ion batteries Numerical simulation Physics Surrogate model Uncertainty quantification |
| Title | Accuracy assessment of an internal resistance model of Li-ion batteries in immersion cooling configuration |
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