Numerical investigation on thermal characteristics of a liquid-cooled lithium-ion battery pack with cylindrical cell casings and a square duct,"
AI Customer ServiceJ. Energy Storage, vol. 41, no. July, p. 102940, 2021, doi: Numerical investigation on thermal characteristics of a liquid-cooled lithium-ion battery pack with
AI Customer ServiceThe circulating water-cooled battery pack and aging experiment test platform are shown in Fig. 4. The battery pack comprises 36 cells connected in series by advanced laser welding
AI Customer ServiceThe structural parameters are rounded to obtain the aluminum liquid-cooled battery pack model with low manufacturing difficulty, low cost, 115 mm flow channel spacing,
AI Customer ServiceThe designed system''s performance was tested for an entire battery pack of an EV and compared with the commercially available LC-BTMS. Results of the study revealed
AI Customer ServiceIn general, BESS is made up of several battery packs that are connected in parallel or series. Each battery pack includes multiple LIBs to fit the demand of power capacity
AI Customer ServiceActive water cooling is the best thermal management method to improve the battery pack performances, allowing lithium-ion batteries to reach higher energy density and uniform heat
AI Customer ServiceIn summary, the optimization of the battery liquid cooling system based on NSGA-Ⅱ algorithm solves the heat dissipation inside the battery pack and improves the
AI Customer ServiceAbstract. The Li-ion battery operation life is strongly dependent on the operating temperature and the temperature variation that occurs within each individual cell. Liquid
AI Customer ServiceThis study proposes three distinct channel liquid cooling systems for square battery modules, and compares and analyzes their heat dissipation performance to ensure
AI Customer ServiceIn the liquid cooling thermal management temperature control design, this
AI Customer ServiceThe thermal performance of the liquid-cooling structures was evaluated by three indexes of the maximum temperature in the whole battery pack, the maximum
AI Customer ServiceBy establishing a finite element model of a lithium-ion battery, Liu et al. [14] proposed a cooling system with liquid and phase change material; after a series of studies,
AI Customer ServiceThe thermal performance of the liquid-cooling structures was evaluated by
AI Customer ServiceQian et al. proposed an indirect liquid cooling method based on minichannel
AI Customer ServiceIn general, BESS is made up of several battery packs that are connected in
AI Customer ServiceIn the liquid cooling thermal management temperature control design, this paper uses serpentine cold plates as well as ring-shaped cold plates for the battery pack liquid
AI Customer Serviceremove heat from the energy storage system as well as maintain-ing cell temperatures uniformity [4 assessment for a battery pack cooling, liquid-cooling has definite.
AI Customer ServiceThis paper investigates the submerged liquid cooling system for 280Ah large-capacity battery packs, discusses the effects of battery spacing, coolant import and export methods, inlet and
AI Customer ServiceThe primary objective of this study is proving the advantage of applying the fluorinated liquid cooling in lithium-ion battery pack cooling. of liquid immersion cooling of
AI Customer ServiceElectric vehicles (EVs) powered by chemical batteries have become a very viable substitute for traditional internal combustion engine automobiles [4] an EV, the
AI Customer ServiceQian et al. proposed an indirect liquid cooling method based on minichannel liquid cooling plate for a prismatic lithium-ion battery pack and explored the effects of the
AI Customer ServiceThis paper presents computational investigation of liquid cooled battery pack. Here, for immersion cooling system study, in Ansys Fluent, the Lumped model of battery is
AI Customer ServiceThe designed system''s performance was tested for an entire battery pack of an EV and compared with the commercially available LC-BTMS. Results of the study revealed
AI Customer ServiceThis paper investigates the submerged liquid cooling system for 280Ah large-capacity battery packs, discusses the effects of battery spacing, coolant import and export methods, inlet and outlet flow rates, and types on the cooling
AI Customer ServiceNumerical investigation on thermal characteristics of a liquid-cooled lithium
AI Customer ServiceThis paper presents computational investigation of liquid cooled battery pack.
AI Customer ServiceFor the battery pack cooling system, the liquid cooling is applied in BTMS of the EV and the inlet temperature of the battery pack cooling system is controlled and adjusted by
AI Customer ServiceFinally, the performance evaluation system of the thermal management scheme of the lithium-ion battery pack is established based on the analytic network process (ANP) and system dynamics (SD), and the performance of the above five thermal management design models is comprehensively scored and analyzed.
To verify the effectiveness of the cooling function of the liquid cooled heat dissipation structure designed for vehicle energy storage batteries, it was applied to battery modules to analyze their heat dissipation efficiency.
Discussion: The proposed liquid cooling structure design can effectively manage and disperse the heat generated by the battery. This method provides a new idea for the optimization of the energy efficiency of the hybrid power system. This paper provides a new way for the efficient thermal management of the automotive power battery.
In summary, the optimization of the battery liquid cooling system based on NSGA-Ⅱ algorithm solves the heat dissipation inside the battery pack and improves the performance and life of the battery.
The battery liquid cooling heat dissipation structure uses liquid, which carries away the heat generated by the battery through circulating flow, thereby achieving heat dissipation effect (Yi et al., 2022).
Bulut et al. conducted predictive research on the effect of battery liquid cooling structure on battery module temperature using an artificial neural network model. The research results indicated that the power consumption reduced by 22.4% through optimization. The relative error of the prediction results was less than 1% (Bulut et al., 2022).
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