Smart Lithium-Ion Battery Monitoring in Electric Vehicles: An AI-Empowered Digital Twin Approach
Mathematics,
Год журнала:
2023,
Номер
11(23), С. 4865 - 4865
Опубликована: Дек. 4, 2023
This
paper
presents
a
transformative
methodology
that
harnesses
the
power
of
digital
twin
(DT)
technology
for
advanced
condition
monitoring
lithium-ion
batteries
(LIBs)
in
electric
vehicles
(EVs).
In
contrast
to
conventional
solutions,
our
approach
eliminates
need
calibrate
sensors
or
add
additional
hardware
circuits.
The
replica
works
seamlessly
alongside
embedded
battery
management
system
(BMS)
an
EV,
delivering
real-time
signals
monitoring.
Our
is
significant
step
forward
ensuring
efficiency
and
sustainability
EVs,
which
play
essential
role
reducing
carbon
emissions.
A
core
innovation
lies
integration
into
process,
reshaping
landscape
energy
storage
alternative
sources
such
as
batteries.
comprehensive
leverages
cloud-based
IoT
network
combines
both
physical
components
provide
holistic
solution.
side
encompasses
offline
modeling,
where
long
short-term
memory
(LSTM)
algorithm
trained
with
various
learning
rates
(LRs)
optimized
by
three
types
optimizers
ensures
precise
state-of-charge
(SOC)
predictions.
On
side,
takes
center
stage,
enabling
prediction
activity.
particularly
innovative
aspect
utilization
time-series
generative
adversarial
(TS-GAN)
generate
synthetic
data
complement
process.
pioneering
use
TS-GAN
offers
effective
solution
challenge
limited
availability,
thus
enhancing
system’s
predictive
capabilities.
By
integrating
these
elements,
enables
analysis
behavior.
innovation—particularly
application
generation—significantly
contributes
optimizing
performance,
safety,
extending
longevity
EVs.
Furthermore,
model
developed
this
research
serves
benchmark
future
utilization.
According
statistical
tests,
has
high
level
precision.
Its
exceptional
safety
performance
reduced
consumption
offer
promising
prospects
sustainable
efficient
solutions.
signifies
pivotal
towards
realizing
cleaner
more
through
EV
management.
Язык: Английский
Scientific Approaches to Solving the Problem of Joint Processes of Bubble Boiling of Refrigerant and Its Movement in a Heat Pump Heat Exchanger
Energies,
Год журнала:
2023,
Номер
16(11), С. 4405 - 4405
Опубликована: Май 30, 2023
The
joint
processes
of
bubble
boiling
and
refrigerant
movement
in
heat
pump
tubes
are
considered.
A
coil
located
on
the
back
side
photovoltaic
panel
(PVP)
is
used
as
an
additional
heating
surface.
mathematical
model
theoretical
determination
temperature
front
surface
PVP
cooled
by
freon
from
has
been
created.
feature
numerical
simulation
a
was
insufficiently
detailed
study
process
lack
references
to
results
obtained
earlier
work.
authors
have
clarified
boundary
conditions
assumptions
for
R407C.
were
compared
with
theoretically
found
values,
later
design
energy
complex
consisting
panel.
calculation
methodology
constructing
part
designing
technology
complexes
based
authors’
plan
present
unified
desalination
seawater
other
types
renewable
sources.
Язык: Английский
Proposal of a Mathematical Modelling Activity to Facilitate Students’ Learning of Ordinary Differential Equation Concepts
Sustainability,
Год журнала:
2023,
Номер
15(16), С. 12483 - 12483
Опубликована: Авг. 17, 2023
We
present
results
that
come
from
analysing
students’
processes
of
solving
tasks
designed
particularly
for
the
learning
differential
equations
in
a
situational
context.
A
teaching
sequence
was
implemented
during
semester-long
course
comprised
several
to
cover
content
course.
Following
qualitative
analysis,
we
show
how
contextualised
task
can
favour
construction
meanings
associated
with
and
interpretation
terms
those
is
developed.
also
highlight
some
difficulties
may
arise
interpretations
when
involves
other
disciplines.
Язык: Английский