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               and pulse-discharge protocols in LFP and NMC based   com/journal/energies [Last accessed on 2025 Feb 27].
               Li-ion batteries. Appl Therm Eng. 2022;201:117794.
                                                               15.  Samba A, Omar N, Gualous H,  et al. Development of an
            4.   Giammichele L, D’Alessandro V, Falone M, Ricci R. Thermal   advanced two-dimensional thermal model for large size
               behaviour of a cylindrical li-ion battery. Tec Ital J Eng Sci.   lithium-ion pouch cells. Electrochim Acta. 2014;117:246-254.
               2021;65(2-4):218-223.
                                                                  doi: 10.1016/j.electacta.2013.11.113
               doi: 10.18280/ti-ijes.652-412
                                                               16.  Pasdarshahri  H,  Veilleux  É,  Mooney  W,  Fréchette  LG,
            5.   Liu S, Liu X, Dou R, Zhou W, Wen Z, Liu L. Experimental   Grondin F, Rancourt D. Coupled electro-thermal-
               and simulation study on thermal characteristics of 18,650   aging battery pack modeling-part  1: Cell level.  Batteries.
               lithium-iron-phosphate  battery  with  and  without  spot-  2024;10(11):1-14.
               welding tabs. Appl Therm Eng. 2020;166:114648.     doi: 10.3390/batteries10110404
               doi: 10.1016/j.applthermaleng.2019.114648       17.  Sui X, Świerczyński M, Teodorescu R, Stroe DI. The
            6.   Lyu P, Huo Y, Qu Z, Rao Z. Investigation on the thermal   degradation behavior of  lifepo4/c  batteries  during  long-
               behavior of Ni-rich NMC lithium ion battery for energy   term calendar aging. Energies. 2021;14(6):1732.
               storage. Appl Therm Eng. 2020;166:114749.          doi: 10.3390/en14061732
               doi: 10.1016/j.applthermaleng.2019.114749       18.  Hosen MS, Pirooz A, Kalogiannis T, He J, Van Mierlo  J,
            7.   Liu J, Yadav S, Salman M. Review of thermal coupled battery   Berecibar M. A  strategic pathway from cell to pack-
               models and parameter identification for lithium-ion battery   level battery lifetime model development.  Appl Sci.
               heat generation in EV battery thermal management system.   2022;12(9):4781.
               Int J Heat Mass Transf. 2024;218:124748.           doi: 10.3390/app12094781
               doi: 10.1016/j.ijheatmasstransfer.2023.124748   19.  Motapon SN, Lachance E, Dessaint LA, Al-Haddad K.
            8.   Lin X, Kim Y, Mohan S, Siegel JB, Stefanopoulou AG.   A Generic cycle life model for lithium-ion batteries based
               Modeling and estimation for advanced battery management.   on fatigue theory and equivalent cycle counting. IEEE Open
               Annu Rev Control Robot Annu Rev Control Robot Auton Syst.   J Ind Electron Soc. 2020;1:207-217.
               2019;2:393-426.                                    doi: 10.1109/OJIES.2020.3015396
               doi: 10.1146/annurev-control-053018             20.  Khodadadi Sadabadi K, Jin X, Rizzoni G. Prediction of
            9.   Thiruvonasundari D, Deepa K. Electric vehicle battery   remaining useful life for a composite electrode lithium ion
               modelling methods based on state of charge-review. J Green   battery cell using an electrochemical model to estimate the
               Eng. 2020;10:24-61.                                state of health. J Power Sources. 2021;481:228861.
            10.  Hou M, Hu Y, Zhang J, Cao H, Wang Z. Development of      doi: 10.1016/j.jpowsour.2020.228861
               electrochemical-thermal modelling for large-format Li-ion   21.  Keil J, Jossen A. Electrochemical modeling of linear and
               battery. Electrochim Acta. 2020;347:136280.        nonlinear aging of lithium-ion cells.  J  Electrochem Soc.
               doi: 10.1016/j.electacta.2020.136280               2020;167(11):110535.
            11.  Nie P, Zhang SW, Ran A, et al. Full-cycle electrochemical-     doi: 10.1149/1945-7111/aba44f
               thermal  coupling  analysis  for  commercial  lithium-ion   22.  Hu X, Xu L, Lin X, Pecht M. Battery lifetime prognostics.
               batteries. Appl Therm Eng. 2021;184:116258.        Joule. 2020;4(2):310-346.
               doi: 10.1016/j.applthermaleng.2020.116258          doi: 10.1016/j.joule.2019.11.018
            12.  Khodadadi Sadabadi K, Ramesh P, Guezennec Y, Rizzoni G.   23.  Xiong R, Wang S, Takyi-Aninakwa P, et al. Critical review
               Development of an electrochemical model for a lithium   on improved electrochemical impedance spectroscopy-
               titanate oxide nickel manganese cobalt battery module.   cuckoo search-elman neural network modeling methods
               J Energy Storage. 2022;50:104046.                  for whole-life-cycle health state estimation of lithium-ion
               doi: 10.1016/j.est.2022.104046                     battery energy storage systems. Prot Control Mod Power Syst.
                                                                  2024;9(2):75-100.
            13.  Kadız GG, Ünverdi S. Genetic algorithm-based multi-
               objective optimization of fast-charging parameters of a      doi: 10.23919/pcmp.2023.000234
               lithium-ion battery by a coupled equivalent electric circuit-  24.  Gasper P, Collath N, Hesse HC, Jossen A, Smith K.
               heat transfer model. Int Conf Therm Eng. 2023;2023(1):1-3.  Machine-learning assisted identification of accurate
            14.  Berckmans G, Jaguemont J, Samba A,  et al.  Lithium-Ion   battery lifetime models with uncertainty. J Electrochem Soc.
               Capacitor-Analysis of Thermal Behaviour and Development   2022;169(8):080518.
               of 3D Thermal Model. Available from: https://www.mdpi.     doi: 10.1149/1945-7111/ac86a8


            Volume 2 Issue 1 (2025)                         13                               doi: 10.36922/eer.7228
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