Measurement Science and Technology,
Journal Year:
2024,
Volume and Issue:
36(1), P. 016233 - 016233
Published: Dec. 11, 2024
Abstract
In
recent
years,
thermal
runaway
during
charging
of
lithium-ion
batteries
has
become
a
critical
issue.
This
problem
emerged
as
significant
barrier
to
the
development
power
for
electric
vehicles
(EVs).
paper
addresses
this
challenge
from
data-driven
perspective
by
proposing
temperature
prediction
model
EV
batteries.
The
leverages
both
long
short-term
memory
and
Transformer
algorithms
account
time-series
characteristics
charging.
data
under
varying
capacities
ambient
temperatures
are
extracted
using
Newman–Tiedemann–Gaines–Kim
batteries,
which
is
then
used
optimize
accuracy
hybrid
algorithm
through
training.
Additionally,
real-world
collected
further
validate
model.
Experimental
results
demonstrate
that
proposed
achieves
superior
compared
single
models
convolutional
neural
network
models.
Based
on
model,
residual-based
early
warning
method
incorporating
sliding
window
approach
proposed.
experimental
findings
indicate
when
residual
predicted
EVs
exceeds
threshold,
preemptive
termination
effectively
prevents
runaway.
Batteries,
Journal Year:
2025,
Volume and Issue:
11(2), P. 59 - 59
Published: Feb. 3, 2025
In
this
study,
the
efficiency
of
an
immersion
cooling
system
for
controlling
temperature
5S7P
battery
modules
at
high
charge
and
discharge
C-rates
was
experimentally
evaluated.
The
study
conducted
in
three
main
stages
including
evaluation
different
coolant
oils
followed
by
proposition
optimal
volume
flow
rate
(VFR)
performance
under
charging/discharging
C-rates.
first
stage,
oils,
Therminol
D-12,
Pitherm
150B,
BOT
2100,
were
compared.
D-12
achieved
superior
performance,
with
highest
heat
transfer
coefficient
(HTC)
2171.93
W/m2⋅K
ability
to
maintain
maximum
(Tmax)
difference
(∆T)
module
within
safe
range.
next
VFR
varied
between
0.4
LPM
1.0
selected
best
oil
D-12.
0.8
determined
be
HTC
2445.73
acceptable
pressure
drop
12,650
Pa,
ensuring
a
balance
energy
consumption.
Finally,
evaluated
from
1.5C
3.0C
proposed
VFR.
is
effective
combination
achieve
desired
extreme
C-rate
working
conditions.
maintains
Tmax
∆T
38.6
°C
4.3
charging
43.0
5.5
discharging
3.0C.
