World Electric Vehicle Journal,
Journal Year:
2024,
Volume and Issue:
16(1), P. 5 - 5
Published: Dec. 27, 2024
The
integration
of
Full
Electric
Vehicles
(FEVs)
into
the
smart
city
ecosystem
is
an
essential
step
towards
achieving
sustainable
urban
mobility.
This
study
presents
a
comprehensive
mobility
network
model
designed
to
predict
and
optimize
energy
supply
for
FEVs
within
cities.
integrates
advanced
components
such
as
Charge
Station
Control
Center
(CSCC),
charging
infrastructure,
dynamic
user
interface.
Important
aspects
include
analyzing
power
consumption,
forecasting
demand,
monitoring
State
(SoC)
FEV
batteries
using
innovative
algorithms
validated
through
real-world
applications
in
Valencia
(Spain)
Ljubljana
(Slovenia).
Results
indicate
high
accuracies
SoC
tracking
(error
<
0.05%)
demand
(MSE
~6
×
10−4),
demonstrating
model’s
reliability
adaptability
across
diverse
environments.
research
contributes
development
resilient,
efficient,
frameworks,
emphasizing
real-time
data-driven
decision-making
management.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(19), P. 8736 - 8736
Published: Sept. 27, 2024
In
this
paper,
we
propose
a
novel
demand-side
management
(DSM)
system
designed
to
optimize
electric
vehicle
(EV)
charging
at
public
stations
using
model
predictive
control
(MPC).
The
adjusts
real-time
grid
conditions,
electricity
prices,
and
user
preferences,
providing
dynamic
approach
energy
distribution
in
smart
city
infrastructures.
key
focus
of
the
study
is
on
reducing
peak
loads
enhancing
stability,
while
minimizing
costs
for
end
users.
Simulations
were
conducted
under
various
scenarios,
demonstrating
effectiveness
proposed
mitigating
demand
optimizing
use.
Additionally,
system’s
flexibility
enables
adjustment
schedules
meet
both
requirements
needs,
making
it
scalable
solution
development.
However,
current
limitations
include
assumption
uniform
tariffs
absence
renewable
considerations,
which
are
critical
real-world
applications.
Future
research
will
addressing
these
issues,
improving
scalability,
integrating
sources.
framework
represents
significant
step
towards
efficient
urban
settings,
contributing
cost
savings
environmental
sustainability.
ACS Chemical Health & Safety,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
The
thermal
hazard
results
of
commercial
cylindrical
lithium-ion
batteries
(LIBs)
different
sizes
from
international
laboratories
are
reviewed
and
discussed.
four
types
discussed
encompass
14500,
18650,
21700,
26650
ones.
Characteristic
data
the
calorimeter
include
onset
temperature,
critical
maximum
self-heat
rate,
enthalpy
change,
quantity
noncondensable
gases.
By
integrating
data,
a
box-plot
was
established
ranking
clearly
evaluated
as
21700
>
18650
non-LiFePO4
(LFP)
≫
LFP
14500
non-LFP
LFP.
Among
all
batteries,
exhibits
worst
consequence,
which
is
attributed
to
adoption
high
energy
density
LiNi0.8Co0.15Al0.05O2
(NCA)
LiNixMnyCozO2
(NMC)
cathode
materials.
It
found
that
temperature
Tcr
broadly
scattered;
besides,
most
rate
(dT/dt)
pressure
were
absent
in
literature.
Definitions
trigger
possible
heat
sources
stimulate
severe
runaway
collected
be
unimaginably
divergent.
A
analysis
database
classify
temperatures
into
(above
180
°C),
low
(130–180
no
Tcr.
inducement
speculated
caused
by
gas
shock
or
electron
breakdown
after
separator
melted,
while
intrinsic
characteristics
require
further
investigation.
Thermal
features
LIBs
can
concisely
classified
lowest
Tonset
88.0
°C
(21700
NMC)
vs
highest
220.0
(18650
LFP),
(dT/dt)max
64536.0
min–1
NCA)
3.0
Tmax
1257.9
243.2
Δn
314.0
mmol
23.3
(14500
145.5
(no
Tcr)
ΔH
70.5
kJ
0.8
LFP).
In
this
work,
present
research
detail
future
perspectives
proposed.
This
review
on
under
failure
abuse
provides
reference
for
solving
safety
issues
next
generation.
This
study
demonstrates
that
the
increasing
number
of
electric
vehicles
(EVs)
and
potential
these
to
contribute
energy
management
as
a
property
battery
through
Vehicle-to-Everything
(V2X)
technologies
can
generate
profit
for
EV
owner.
The
focus
this
is
on
Vehicle-toGrid
(V2G)
Vehicle-to-Home
(V2H)
applications.
research
aims
illustrate
advantages
integrating
V2X
with
solar
photovoltaics
(PV)
private
households,
particularly
in
optimizing
an
bidirectional
charging
reduce
electricity
costs
household.
uses
real-world
data
from
Finnish
household,
including
PV
production
consumption,
applies
optimization
algorithms
simulate
economic
gains
V2X.
Key
findings
indicate
be
economically
beneficial,
especially
during
periods
high
price
fluctuations.
also
emphasizes
importance
availability
maximizing
benefits.
concludes
while
offer
promising
opportunities
cost
savings,
their
effectiveness
highly
dependent
market
conditions
specific
characteristics
household
usage.
