Integration of Emerging Technologies in Next-Generation Electric Vehicles: Evolution, Advancements, and Regulatory Prospects
Results in Engineering,
Год журнала:
2025,
Номер
unknown, С. 104082 - 104082
Опубликована: Янв. 1, 2025
Язык: Английский
A review of energy storage systems for facilitating large-scale EV charger integration in electric power grid
Journal of Energy Storage,
Год журнала:
2025,
Номер
112, С. 115496 - 115496
Опубликована: Янв. 29, 2025
Язык: Английский
A comprehensive review of vehicle-to-grid integration in electric vehicles: Powering the future
Energy Conversion and Management X,
Год журнала:
2024,
Номер
unknown, С. 100864 - 100864
Опубликована: Дек. 1, 2024
Язык: Английский
The Use of Electric Vehicles to Support the Needs of the Electricity Grid: A Systematic Literature Review
Applied Sciences,
Год журнала:
2024,
Номер
14(18), С. 8197 - 8197
Опубликована: Сен. 12, 2024
The
integration
of
electric
vehicles
(EVs)
into
the
electricity
grid
through
vehicle-to-grid
(V2G)
technology
represents
a
promising
opportunity
to
improve
energy
efficiency
and
stabilize
operations
in
context
building
sustainable
cities.
This
paper
provides
systematic
review
literature
assess
status
research
identify
road
ahead.
Using
bibliometric
analysis
assessment,
critical
factors
that
influence
charging
behavior
vehicles,
adoption
V2G,
effective
use
EVs
as
dynamic
resources
are
identified.
focus
is
particularly
on
ecological
transitions
toward
sustainability,
travel
characteristics,
technical
specifications,
requirements,
barriers
real
use,
behavioral
psychological
aspects
stakeholders.
results
lay
foundation
for
accurate
forecasts
strategic
implementation
V2G
support
needs
grid.
They
emphasize
importance
considering
users
design
strategies
define
key
predict
demand
vehicle
charging.
Furthermore,
they
highlight
main
adoption,
which
primarily
related
concerns
about
battery
degradation
economic
issues.
Privacy
security
concerns,
due
data
sharing
with
aggregators,
also
limit
V2G.
Addressing
these
challenges
essential
successful
Язык: Английский
Electric Vehicles for a Flexible Energy System: Challenges and Opportunities
Energies,
Год журнала:
2024,
Номер
17(22), С. 5614 - 5614
Опубликована: Ноя. 9, 2024
As
the
adoption
of
Electric
Vehicles
(EVs)
accelerates,
driven
by
increasing
urbanization
and
push
for
sustainable
infrastructure,
need
innovative
solutions
to
support
this
growth
has
become
more
pressing.
Vehicle-to-Grid
(V2G)
technology
presents
a
promising
solution
enabling
EVs
engage
in
bidirectional
interactions
with
electrical
grid.
Through
V2G,
can
supply
energy
back
grid
during
peak
demand
periods
draw
power
off-peak
times,
offering
valuable
tool
enhancing
stability,
improving
management,
supporting
environmental
sustainability.
Despite
its
potential,
large-scale
implementation
V2G
faces
significant
challenges,
particularly
from
technological
regulatory
standpoint.
The
success
requires
coordinated
efforts
among
various
stakeholders,
including
vehicle
manufacturers,
infrastructure
providers,
operators,
policymakers.
In
addition
technical
barriers,
such
as
battery
degradation
due
frequent
charging
cycles
advanced
systems,
frameworks
must
evolve
accommodate
new
paradigm.
This
review
aims
provide
comprehensive
analysis
technology,
focusing
on
different
perspectives—such
those
users,
vehicles,
infrastructures,
electricity
study
will
also
explore
ex
ante,
post,
ongoing
assessment
studies,
alongside
experiences
pioneer
cities
implementing
V2G.
Язык: Английский
Hydropower-driven electric vehicle infrastructure in the Himalayan region: Integration dynamics and strategic SWOT analysis for sustainable transportation
Energy Sustainable Development/Energy for sustainable development,
Год журнала:
2025,
Номер
87, С. 101732 - 101732
Опубликована: Апрель 11, 2025
Язык: Английский
Advances in Standardised Battery Testing for Enhanced Safety and Innovation in Electric Vehicles: A Comprehensive Review
Márton Pepó,
Sandra Z. Fuller,
Tibor Cseke
и другие.
Batteries,
Год журнала:
2025,
Номер
11(4), С. 157 - 157
Опубликована: Апрель 16, 2025
Standardised
battery
tests
are
essential
for
evaluating
the
safety,
reliability,
and
performance
of
modern
technologies,
especially
with
rapid
emergence
innovations
such
as
solid-state
lithium–sulphur
batteries.
This
review
reveals
critical
shortcomings
in
current
international
standards
(e.g.,
IEC,
IEEE,
SAE),
which
often
do
not
keep
pace
technological
developments
harmonised
across
regions,
limiting
their
effectiveness
real-world
applications.
The
paper
stresses
need
continuous
test
protocols
through
collaboration
between
researchers,
manufacturers,
regulators.
A
detailed
case
study
BYD
Dolphin
demonstrates
practical
importance
comprehensive
testing
conditions,
spanning
electrical,
thermal,
mechanical
ranges.
concludes
that
up-to-date,
harmonised,
scenario-specific
methods
needed
to
ensure
accurate
assessment,
support
global
comparability,
enable
safe
introduction
next-generation
batteries
electric
mobility
energy
storage.
Future
work
should
prioritise
operational
monitoring,
open
access
data
sharing,
development
sustainability-focused
practices
recycling
reclamation.
Язык: Английский
Artificial Intelligence Optimization for User Prediction and Efficient Energy Distribution in Electric Vehicle Smart Charging Systems
Energies,
Год журнала:
2024,
Номер
17(22), С. 5772 - 5772
Опубликована: Ноя. 19, 2024
This
paper
presents
an
advanced
AI-based
optimization
framework
for
Electric
Vehicle
(EV)
smart
charging
systems,
focusing
on
efficient
energy
distribution
to
meet
dynamic
user
demand.
The
study
leverages
machine
learning
models
such
as
Random
Forest,
Support
Vector
Regression
(SVR),
Gradient
Boosting
Regressor,
XGBoost,
LightGBM,
and
Long
Short-Term
Memory
(LSTM)
forecast
demand
optimize
allocation.
Among
the
models,
XGBoost
demonstrated
superior
predictive
performance,
achieving
lowest
Mean
Absolute
Error
(MAE)
Root
Square
(RMSE),
making
it
most
effective
real-time
prediction
in
scenarios.
introduces
proportional
priority-based
allocation
strategies
distribute
available
effectively,
with
a
focus
minimizing
shortfalls
balancing
supply
Results
from
model
reduced
error
by
15%
compared
other
significantly
improving
station’s
ability
efficiently.
proposed
AI
enhances
station
operations,
supports
grid
stability,
promotes
sustainability
context
of
increasing
EV
adoption.
Язык: Английский
Forecasting the vehicle energy potential to support the needs of electricity grid: a floating car data-based methodology
Frontiers in Future Transportation,
Год журнала:
2024,
Номер
5
Опубликована: Ноя. 19, 2024
In
a
global
context
characterized
by
climate
warming,
the
transport
sector
has
found
use
of
electric
vehicles
to
be
one
possible
measures
decarbonization.
Although
purchase
rate
this
type
vehicle
is
still
low,
there
are
many
research
fields
related
both
development
charging
network
and
improvement
batteries
ensure
features
that
meet
expectations
users.
Moreover,
increase
electricity
can
cause
issues
in
electrical
stability,
especially
during
peak
hours.
Therefore,
facing
new
challenges,
including
case
vehicle-to-grid
(V2G),
which
solution
allows
batteries,
not
only
as
source
energy
for
vehicles,
but
also
stabilizers
supply
when
parked
(i.e.,
no
needed
their
activity).
recent
years,
researchers
mainly
focused
on
infrastructure
technologies,
neglecting
problems
identification
best
locations
V2G
services
potential
acceptance
vehicles’
owners,
well
transferred
grid
according
users’
needs
(e.g.,
continue
completing
daily
activities).
This
paper
proposes
methodology
aimed
at
identifying
areas
deploying
using
floating
car
data
(FCD)
estimating
without
interfering
with
activities.
finally
applied
study
five
provinces
Veneto
region,
showing
significant
results
obtained.
Язык: Английский