Computational Study on Design of Battery Cooling System for Retrofitted EV Passenger Cars

Soparat, Jenwit; Sritham, Wuttipong; Teralapsuwan, Apichart; Srisurangkul, Chadchai; Benyajati, Chi-na

doi:10.4271/2015-01-0102

Cited by 1 publication

(1 citation statement)

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“…Many optimization strategies have been used for the BTMS based on forced air cooling to reduce the tremendous amount of heat generated, which includes the arrangement of the batteries and fans and the design of the airflow channel. Soparat et al optimized the structure of heat dissipation based on simulation results, which considered the effects of the fan arrangement and air outlet position on the temperature distribution of the battery pack [16]. Yang et al analyzed the phenomenon of substantially different temperatures among the cells and designed the structure to change the air inlet angle and the wind speed, where the air intake form of blast cooling and exhaust cooling were used [17].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Heat Dissipation Structure for Lithium-Ion Battery Packs Based on Thermodynamic Analyses

Li¹,

Liu²,

Ye³

2022

IEEE Access

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The battery thermal management system plays an important role in electric vehicles, and determines the performance and the lifespan of electric vehicles. In this paper, optimization of the heat dissipation structure of lithium-ion battery pack is investigated based on thermodynamic analyses to optimize discharge performance and ensure lithium-ion battery pack safety. First, the heat generation and heat transfer model of the lithium-ion battery cell are derived based on thermodynamic theory. Then, the thermodynamic governing equations of battery are established based on Fluent, and the model is verified by comparing simulation data and experimental data. Afterwards, the simulation model of pure electric vehicles and the model of the heat generation rate are established using ADVISOR to analyze the dynamic performance of the battery pack. Finally, the air-cooling structure of the battery pack is designed according to the temperature field distribution obtained from the Fluent simulation, which is optimized using a back propagation neural network combined with genetic algorithms for the air flow rate, air flow channel spacing between cells, and air inlet angle. Based on the results of the optimized structure, the optimized structure effectively increases the heat dissipation performance and eliminates temperature inconsistency between the cells.INDEX TERMS Air cooling, thermodynamic analysis, heat dissipation structure optimization, battery thermal management system (BTMS).

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Section: Introductionmentioning

confidence: 99%