World Electric Vehicle Journal,
Journal Year:
2024,
Volume and Issue:
16(1), P. 10 - 10
Published: Dec. 28, 2024
In
the
Industry
4.0
era,
integrating
artificial
intelligence
(AI)
with
battery
prognostics
and
health
management
(PHM)
offers
transformative
solutions
to
challenges
posed
by
complex
nature
of
systems.
These
systems,
known
for
their
dynamic
nonl*-inear
behavior,
often
exceed
capabilities
traditional
PHM
approaches,
which
struggle
account
interplay
multiple
physical
domains
scales.
By
harnessing
technologies
such
as
big
data
analytics,
cloud
computing,
Internet
Things
(IoT),
deep
learning,
AI
provides
robust,
data-driven
capturing
predicting
degradation.
advancements
address
long-standing
limitations
in
prognostics,
enabling
more
accurate
reliable
performance
assessments.
The
convergence
not
only
resolves
existing
but
also
introduces
innovative
approaches
that
enhance
adaptability
precision
management.
This
perspective
highlights
recent
progress
explores
shift
from
methods
AI-powered,
data-centric
frameworks.
precise
scalable
monitoring
prediction
health,
this
transition
marks
a
significant
step
forward
advancing
field.
Energies,
Journal Year:
2025,
Volume and Issue:
18(5), P. 1192 - 1192
Published: Feb. 28, 2025
The
transition
from
fossil
fuels
to
renewable
energy
(RE)
sources
is
an
essential
step
in
mitigating
climate
change
and
ensuring
environmental
sustainability.
However,
large-scale
deployment
of
renewables
accompanied
by
new
challenges,
including
the
growing
demand
for
rare-earth
elements,
need
recycling
end-of-life
equipment,
rising
footprint
digital
tools—particularly
artificial
intelligence
(AI)
models.
This
systematic
review,
following
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
guidelines,
explores
how
lightweight,
distilled
AI
models
can
alleviate
computational
burdens
while
supporting
critical
applications
systems.
We
examined
empirical
conceptual
studies
published
between
2010
2024
that
address
energy,
circular
economy
paradigm,
model
distillation
low-energy
techniques.
Our
findings
indicate
adopting
significantly
reduce
consumption
data
processing,
enhance
grid
optimization,
support
sustainable
resource
management
across
lifecycle
infrastructures.
review
concludes
highlighting
opportunities
challenges
policymakers,
researchers,
industry
stakeholders
aiming
integrate
principles
into
RE
strategies,
emphasizing
urgent
collaborative
solutions
incentivized
policies
encourage
low-footprint
innovation.
Batteries,
Journal Year:
2025,
Volume and Issue:
11(2), P. 82 - 82
Published: Feb. 19, 2025
Lithium-ion
cells
are
increasingly
being
used
as
central
power
storage
systems
for
modern
applications,
i.e.,
e-bikes,
electric
vehicles
(EVs),
satellites,
and
spacecraft,
they
face
significant
constant
vibrations.
This
review
examines
how
these
vibrations
affect
the
batteries’
mechanical,
thermal,
electrical
properties.
Vibrations
can
cause
structural
issues,
such
separation
of
electrodes
deformation
separators.
These
problems
raise
internal
resistance
lead
to
localized
heat
generation.
As
a
result,
thermal
management
becomes
more
complicated,
battery
aging
accelerates,
safety
risks
arise,
including
short
circuits
runaways.
To
tackle
challenges,
we
need
realistic
testing
protocols
that
consider
combined
effects
vibrations,
temperature,
mechanical
stress.
Improving
(TMSs)
using
advanced
cooling
techniques
materials,
e.g.,
phase
change
solutions,
help
alleviate
problems.
It
is
also
essential
design
batteries
with
vibration-resistant
materials
enhanced
integrity
boost
their
durability.
Moreover,
play
role
in
various
degradation
mechanisms,
dendrite
formation,
self-discharge,
lithium
plating,
all
which
reduce
capacity
lifespan.
Our
current
research
builds
on
insights
multiscale
physics-based
modeling
approach
investigate
interact
behavior
contribute
degradation.
By
combining
computational
models
experimental
data,
aim
develop
strategies
tools
enhance
lithium-ion
safety,
reliability,
longevity
challenging
environments.
IntechOpen eBooks,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 24, 2025
Ensuring
the
reliability,
safety,
and
efficiency
of
electric
vehicles
(EVs)
necessitates
precise
diagnostics
battery
life,
as
degradation
batteries
directly
influences
both
performance
sustainability.
The
transformative
role
artificial
intelligence
(AI)
in
advancing
EV
is
explored
herein,
with
an
emphasis
placed
on
complexities
predicting
managing
health.
Initially,
we
provide
overview
challenges
associated
lifetime
diagnostics,
such
issues
accuracy,
generalization,
model
training.
following
sections
delve
into
advanced
AI
methodologies
that
enhance
diagnostic
capabilities.
These
methods
include
extensive
time-series
AI,
which
improves
predictive
accuracy;
end-to-end
simplifies
system
complexity;
multi-model
ensures
generalization
across
varied
operating
conditions;
adaptable
strategies
for
dynamic
environments.
In
addition,
explore
use
federated
learning
decentralized,
privacy-preserving
discuss
automated
machine
streamlining
development
AI-based
models.
By
integrating
these
sophisticated
techniques,
present
a
comprehensive
roadmap
future
AI-driven
prognostics
health
management.
This
underscores
critical
importance
scalability,
sustainability
fostering
advancement.
Our
interdisciplinary
framework
offers
valuable
insights
can
accelerate
electrification
transportation
advance
evolution
energy
storage
systems,
tackling
key
at
intersection
technology
AI.
Batteries,
Journal Year:
2025,
Volume and Issue:
11(5), P. 185 - 185
Published: May 7, 2025
Batteries
are
central
to
the
global
energy
system
and
fundamental
elements
for
transition
future
mobility.
In
particular,
growth
in
electric
vehicle
(EV)
sales
is
pushing
up
demand
batteries.
Most
of
battery
EVs
today
can
be
met
with
domestic
or
regional
production
China,
while
share
imports
remains
relatively
large
Europe
United
States.
Boosting
industrial
base
therefore
a
key
task
EU.
To
make
its
supply
chains
secure,
resilient,
sustainable,
EU’s
approach
consists
improving
cooperation
among
stakeholders,
providing
sector
funding,
establishing
comprehensive
regulatory
framework.
this
paper,
an
accurate
review
state-of-the-art
automotive
batteries
provided,
including
performance,
safety,
sustainability,
costs
different
technologies.
The
significant
challenges
EU
must
face,
such
as
dependencies
on
third
countries
high
labor
costs,
discussed.
An
overview
present
European
regulation
trends
provided.
