Effect analysis on performance enhancement of a novel air cooling battery thermal management system with spoilers
Created by W.Langdon from
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- @Article{WANG:2021:ATE,
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author = "Ningbo Wang and Congbo Li and Wei Li and
Mingli Huang and Dongfeng Qi",
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title = "Effect analysis on performance enhancement of a novel
air cooling battery thermal management system with
spoilers",
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journal = "Applied Thermal Engineering",
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volume = "192",
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pages = "116932",
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year = "2021",
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ISSN = "1359-4311",
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DOI = "doi:10.1016/j.applthermaleng.2021.116932",
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URL = "https://www.sciencedirect.com/science/article/pii/S1359431121003793",
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keywords = "genetic algorithms, genetic programming, Battery
thermal management system, Air cooling, Spoiler,
Genetic programming model",
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abstract = "To solve a series of thermal runaway problems caused
by temperature and the cost problem caused by the
excessive volume of the battery thermal management
system (BTMS), this paper presents a novel air cooling
BTMS which reduces the temperature and volume. In this
study, we install the spoilers in the battery gap
spacing, which can effectively improve the heat
dissipation performance of the battery. Firstly, this
paper discusses the influence of the shape, number and
length of the spoilers on the maximum temperature
(MaxT) and temperature uniformity of the battery
module. After computational fluid dynamics (CFD)
simulation, this paper takes a BTMS with 16 long
straight spoilers as plan 1. Compared with the initial
plan without spoilers, the MaxT of plan 1 is reduced by
3.52 K. Secondly, Latin hypercube sampling (LHS) is
used to sample and then establish the genetic
programming (GP) model for the MaxT and the volume of
plan 1. Finally, this paper combines CFD simulation
with the multi-objective genetic algorithm (MOGA) to
drive the optimization process. The optimization
results show that the MaxT of the battery module is
307.58 K, and the volume of BTMS is 12644460 mm3.
Compared with plan 1, the MaxT is reduced by 2.24 K,
and the volume is reduced by 4.87percent. This result
has guiding significance for improving the heat
dissipation of Z-shaped air cooling BTMS and saving the
cost in the industry",
- }
Genetic Programming entries for
Ningbo Wang
Congbo Li
Wei Li
Mingli Huang
Dongfeng Qi
Citations