Lithium-ion
batteries
have
garnered
significant
attention
in
the
field
of
new
energy
technologies
owing
to
their
remarkable
high
density
characteristics.
This
paper
proposes
a
compact
battery
liquid-cooling
system
and
perform
structural
optimization
based
on
stepwise
concept,
aimed
at
comprehensively
enhancing
performance
Battery
Liquid
Cooling
System
(BLCS).
Firstly,
this
conducts
an
consumption
flow
velocity
(V),
diameter
(D),
contact
angle
(θ).
Subsequently,
entropy
weighted-TOPSIS
method
is
utilized
for
objective
optimization,
thereby
obtaining
optimal
configuration
comprehensive
considerations
power
consume
(Pc),
maximum
temperature
(Tmax)
difference
(ΔT),
with
V=0.4
m/s,
D=3
mm,
θ=75°.
When
initial
temperature=25
℃
discharge
rate=3
C,
structure
yields
following
results:
Tmax
=28.089
℃,
ΔT=2.884
Pc=19.484
J.
Furthermore,
re-optimization
phase,
lightweight
design
applied
system.
In
we
optimize
three
parameters
layered
conductive
fin:
number
layers
(L),
height
each
layer
(Lh),
thickness
(Lw).
By
enumerating
Lw=0,
thirteen
operating
conditions
are
considered
L
ranging
from
1
4
layers,
Lh
taking
values
5
7
9
11
mm.
Employing
weight-TOPSIS
method,
solution
determined
by
considering
δ,
Tmax,
ΔT.
Under
condition,
weights
ΔT
41.02%,
30.82%,
28.16%,
respectively.
Following
evaluation,
attained:
L=3,
Lh=7.
these
conditions,
BLCS
achieves
Tmax=29.196
ΔT=3.753
δ=0.755,
resulting
weight
reduction
61
g
(20.7%)
components
excluding
battery.
research
through
has
accomplished
enhancement
both
mass
BLCS,
providing
valuable
references
insights
BTMS.
Journal of Electrochemical Energy Conversion and Storage,
Journal Year:
2024,
Volume and Issue:
22(4)
Published: Sept. 30, 2024
Abstract
Heat
removal
and
thermal
management
are
critical
for
the
safe
efficient
operation
of
lithium-ion
batteries
packs.
Effective
dynamically
generated
heat
from
cells
presents
a
substantial
challenge
optimization.
This
study
introduces
novel
liquid
cooling
method
aimed
at
improving
temperature
uniformity
in
battery
pack.
A
complex
nonlinear
hybrid
model
is
established
through
traditional
full-factor
design
back
propagation
neural
network
(BPNN)
approximation.
links
input
parameters
such
as
number
baffles,
baffle
angle,
inlet
speed
to
output
including
maximum
temperature,
difference,
pressure
drop.
Global
multiobjective
optimization
carried
out
using
Nondominated
Sorting
Genetic
Algorithm
II
sidestep
locally
optimal
solutions.
Pareto
solutions
sorted
multiple
criteria
decision-making
techniques.
Through
optimization,
rise
relative
initial
controlled
within
7.68
K,
difference
4.22
K
(below
commonly
required
5
K),
drop
only
83.92
Pa.
Results
presented
this
work
may
help
enhance
performance
efficiency
battery-based
energy
conversion
storage.
The
technique
used
helps
maximize
benefit
an
innovative
technique.
Case Studies in Thermal Engineering,
Journal Year:
2024,
Volume and Issue:
61, P. 104856 - 104856
Published: July 23, 2024
An
inherent
limitation
of
lithium-ion
batteries
is
their
restricted
use
within
a
specific
thermal
working
range.
To
address
this
problem,
efficient
battery
management
systems
(BTMS)
are
required
to
dissipate
the
heat
created
by
cells
in
pack.
In
order
control
maximum
temperature
and
minimise
difference
through
pack
during
5C
discharging
process,
study
investigates
phase
change
material
(PCM)-porous
system,
cooled
thermoelectric
coolers
(TEC)
on
its
walls.
calculate
generation
Li-ion
batteries,
equivalent
circuit
model
(ECM)
employed.
model,
made
up
set
electric
elements,
including
R–C
pairs.
Different
PCM
porous
materials
studied
determine
most
suitable
for
controlling
behaviour
The
reveals
that
solidus
latent
two
crucial
factors
selection.
A
cooler
an
instrument
uses
electrical
energy
transfer
from
one
side
device
other,
depending
current
direction.
examines
TEC
(thermoelectric
cooler)
under
various
ambient
temperatures
applied
voltage
differences.
results
demonstrate
adjusting
between
heads
900
1500
mV,
while
ranges
303
K
323
K,
allows
achieving
cold
plate
288
308
K.
designed
BTMS
tested
positions,
it
shown
when
TECs
used
walls,
back
can
decrease
1
better
uniformity
observed.
Frontiers in Mechanical Engineering,
Journal Year:
2025,
Volume and Issue:
11
Published: Feb. 6, 2025
In
Formula
Student
Electric
(FSE)
racing
competitions,
battery
overheating
is
a
common
challenge
due
to
inadequate
thermal
dissipation
at
high
discharge
rates,
negatively
impacting
the
performance
of
vehicle.
This
study
introduces
an
innovative
and
optimized
box
cooling
system
designed
mitigate
by
reducing
maximum
temperature
gradient.The
developed
using
combined
approach
simulation
analysis
orthogonal
experiments.
The
design
optimization
focuses
on
improving
airflow
distribution
increasing
number
inlet
outlet
vents
adjusting
velocity,
which
enhances
heat
capacity.
Experimental
tests
show
that,
under
5C
rate
for
60
s,
within
reduced
27.4°C.
difference
decreases
from
3.5°C
2.4°C,
resulting
in
31.4%
improvement
efficiency.
Additionally,
achieves
more
uniform
across
pack,
outperforming
pre-optimization
all
evaluated
metrics.
demonstrates
significant
compared
original
design.
findings
highlight
effectiveness
proposed
enhancing
management
offer
practical,
applicable
strategy
efficiency
electric
vehicle
applications.
