2022
DOI: 10.1016/j.est.2022.104758
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RETRACTED: Investigation of passive method in thermal management of lithium-ion batteries at different discharge rates by changing the number of cavities containing phase change materials

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Cited by 38 publications
(5 citation statements)
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“…Moreover, the source word expressed by the letter S was thought to be as follows. (Kalbasi et al, 2019;Daneh-Dezfuli and Pordanjani, 2022):…”
Section: The Governing Equations and Numerical Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Moreover, the source word expressed by the letter S was thought to be as follows. (Kalbasi et al, 2019;Daneh-Dezfuli and Pordanjani, 2022):…”
Section: The Governing Equations and Numerical Methodsmentioning
confidence: 99%
“…The term "enthalpy" was used to refer to the variation of "H" in Eq. 13, which contains the latent and sensible enthalpies (Kalbasi, 2021;Daneh-Dezfuli and Pordanjani, 2022).…”
Section: The Governing Equations and Numerical Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…137 For an 18650 LIB pack, the fully coupled electrochemical-thermal model is developed to study the thermal performance of a nano-encapsulated PCM and neural network; genetic algorithm optimization methods suggested that for a moderate discharge rate of the battery, the model predicted better results of BTMS. 138 The most commonly adopted additives include carbon-based materials viz: EG, CNTs, graphene, metallic foam and nanoparticles, LDPE, and ER. Initially, paraffins were widely preferred and chosen to serve as CPCMs with the addition of EG (PA-EG).…”
Section: Research Work With Composite Phase Change Materialsmentioning
confidence: 99%
“…While reviewing various PCMs for BTMS works, it is noted that flammable characteristics of organic PCMs pose hindrances to its usage and thus, different types of flame retardant PCMs along with their applications are provided in addition to various methods of heat dissipation 137 . For an 18650 LIB pack, the fully coupled electrochemical‐thermal model is developed to study the thermal performance of a nano‐encapsulated PCM and neural network; genetic algorithm optimization methods suggested that for a moderate discharge rate of the battery, the model predicted better results of BTMS 138 . The most commonly adopted additives include carbon‐based materials viz: EG, CNTs, graphene, metallic foam and nanoparticles, LDPE, and ER.…”
Section: Recent Work Related To Organic and Inorganic Pcms With Heat ...mentioning
confidence: 99%