Evaluation of Advances in Battery Health Prediction for Electric Vehicles from Traditional Linear Filters to Latest Machine Learning Approaches
Batteries,
Год журнала:
2024,
Номер
10(10), С. 356 - 356
Опубликована: Окт. 11, 2024
In
recent
years,
there
has
been
growing
interest
in
Li-ion
battery
State-of-Health
(SOH)
estimation
due
to
its
critical
role
ensuring
the
safe
and
reliable
operation
of
Electric
Vehicles
(EVs).
Effective
energy
management
accurate
SOH
prediction
are
essential
for
reliability
sustainability
EVs.
This
paper
presents
an
in-depth
review
techniques,
starting
with
overview
seminal
methods
that
lay
theoretical
groundwork
modeling
prediction.
The
then
evaluates
advancements
Machine
Learning
(ML)
Artificial
Intelligence
(AI)
emphasizing
their
contributions
improving
estimation.
Through
a
rigorous
screening
process,
systematically
assesses
evolution
these
advanced
methods,
addressing
specific
research
questions
evaluate
effectiveness
practical
implications.
Key
findings
highlight
potential
hybrid
models
integrate
Equivalent
Circuit
Models
(ECMs)
Deep
approaches,
offering
enhanced
accuracy
real-time
performance.
Additionally,
discusses
limitations
current
such
as
challenges
translating
laboratory-based
real-world
conditions
computational
complexity
some
prospective
methods.
conclusion,
this
identifies
promising
future
directions
aimed
at
optimizing
overcoming
existing
constraints
advance
Vehicles.
Язык: Английский
Directional power transfer and data communication using magnetic resonance wireless charging system
The Journal of Engineering,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
Abstract
This
research
proposes
bidirectional
power
and
data
transfer
which
implements
electric
vehicle
(EV)
battery
charge/discharging
using
magnetic
resonance
coupling
wireless
(MRC‐WPT)
with
inner
communication
by
binary
phase‐shift
keying
(BPSK)
technology
between
the
primary
side
secondary
side.
The
MRC‐WPT‐BPSK
can
implement
grid‐to‐vehicle,
vehicle‐to‐grid,
or
vehicle‐to‐load
(V2L)
functions
due
to
capability
without
additional
modules
such
as
Wi‐Fi,
Bluetooth,
ZigBee,
so
on.
In
experiment
result,
charging
up
300
W
reach
an
efficiency
of
85%.
accuracy
(quality)
this
system
be
almost
100%
within
air
gap
from
0
50
mm.
addition,
V2L
function
provide
energy
1000
Wh,
emergency
power,
backup
light
sources
in
parking
lot.
Therefore,
like
a
smart
grid
aids
user
obtain
benefits
discharging
according
time‐of‐use
list.
Язык: Английский
Thermoelectric cooling systems for eVTOL batteries operating on hot days
Applied Thermal Engineering,
Год журнала:
2025,
Номер
unknown, С. 125999 - 125999
Опубликована: Фев. 1, 2025
Язык: Английский
Comparative Analysis of EV Battery Degradation: Real-World Data vs. Lab Simulations
Опубликована: Фев. 10, 2025
Язык: Английский
Thermal Runaway Diagnosis of Lithium-Ion Cells Using Data-Driven Method
Applied Sciences,
Год журнала:
2024,
Номер
14(19), С. 9107 - 9107
Опубликована: Окт. 9, 2024
Fault
diagnosis
is
crucial
to
guarantee
safe
operation
and
extend
the
operating
time
while
preventing
thermal
runaway
of
lithium-ion
battery.
This
study
presents
a
data-driven
framework
where
Bayesian
optimization
techniques
are
applied
optimize
hyperparameter
various
machine
learning
techniques.
We
use
different
models
such
as
support
vector
machine,
naive
Bayes,
decision
tree
ensemble,
multi-layer
perceptron
estimate
high
likelihood
causes
by
using
experimental
measurements
open-source
battery
failure
data.
analyze
evaluation
metrics,
including
prediction
accuracy,
confusion
receiver
characteristic
curves
models.
An
shows
that
classification
accuracy
ensemble
outperforms
other
Furthermore,
provides
robust
even
with
strictly
limited
dataset.
Язык: Английский
Exploring Electric Vehicle Patent Trends through Technology Life Cycle and Social Network Analysis
Sustainability,
Год журнала:
2024,
Номер
16(17), С. 7797 - 7797
Опубликована: Сен. 6, 2024
In
response
to
environmental
and
energy
challenges,
electric
vehicles
(EVs)
have
re-emerged
as
a
viable
alternative
internal
combustion
engines.
However,
existing
research
lacks
comprehensive
analysis
of
the
technology
life
cycle
EVs
in
both
global
South
Korean
contexts
offers
limited
strategic
guidance.
This
study
introduces
novel
approach
address
these
gaps
by
integrating
S-curve
model
with
social
network
(SNA),
time
series
analysis,
core
applicant
layouts.
The
specifically
utilizes
logistic
curve
growth.
It
applies
SNA
methods,
including
International
Patent
Classification
(IPC)
co-occurrence
betweenness
centrality
metric,
identify
stages
technological
development
sustainable
directions
for
EVs.
By
analyzing
patent
data
from
2004
2023,
reveals
that
EV
technologies
reached
saturation
phase
globally
Korea,
Korea
maintaining
two-year
advantage.
identifies
directions,
fast
charging
infrastructure,
battery
monitoring
management,
artificial
intelligence
(AI)
applications.
Additionally,
also
determined
sustainability
examining
challenges
faced
These
insights
offer
clear
view
trends
future
guiding
stakeholders.
Язык: Английский
The effect of different mission profiles and ambient temperature on the lifetime of boost converter IGBT with a robust controller in a hybrid electric vehicle
IET Generation Transmission & Distribution,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 12, 2024
Abstract
The
reliability
of
power
electronic
converters
is
one
the
essential
issues
in
designing
electric
vehicles.
This
paper
estimates
lifetime
boost
converter
switch
by
Semikron
and
Coffin‐Manson
models
for
two
common
failure
mechanisms
Bond
wire
Base
plate
solder,
respectively.
Four
mission
profiles
based
on
Artemis
standard
are
applied
to
hybrid
electrical
vehicle
model
determine
unidirectional
output
power.
Kharitonov's
theory
used
design
a
robust
controller
handle
uncertainty
raised
different
cycles
parameters
during
simulation.
Stability
achieved
simulation
identifying
simple
proportional
integral
coefficients
with
theorem.
A
prototype
230
W
designed
utilized
validate
average
loss
calculation
relationships.
results
indicate
that
number
cycles,
maximum
junction
temperature
have
more
impact
than
duration
drive
cycle
converter.
mixed
profile
considered
investigate
effect
sudden
change
driving
modes
speed
total
consumed
life
enhance
study's
applicability.
Lifetime
decreased
significantly
mode
comparison
other
same
time.
Furthermore,
motorway
has
53%,
39.6%,
160%
less
urban,
rural
profiles,
In
addition,
ambient
changes
IGBT
been
investigated
four
profiles.
While
had
least
25°C,
urban
better
performance
from
25
55°C.
Язык: Английский