Renewable and Sustainable Energy Reviews,
Год журнала:
2024,
Номер
200, С. 114577 - 114577
Опубликована: Май 21, 2024
Digitalization
of
lithium-ion
batteries
can
significantly
advance
the
performance
improvement
by
enabling
smarter
controlling
strategies
during
operation
and
reducing
risk
expenses
in
design
development
phase.
Accurate
physics-based
models
play
a
crucial
role
digitalization
providing
an
in-depth
understanding
system.
Unfortunately,
high
accuracy
comes
at
cost
increased
computational
preventing
employment
these
real-time
applications
for
parametric
design.
Machine
learning
have
emerged
as
powerful
tools
that
are
increasingly
being
used
battery
studies.
Hybrid
be
developed
integrating
machine
algorithms
well
efficiency.
Therefore,
this
paper
presents
comprehensive
review
current
trends
integration
to
accelerate
batteries.
Firstly,
direction
explicit
modeling
methods
research
reviewed.
Then
thorough
investigation
contemporary
hybrid
is
presented
addressing
both
monitoring
control.
The
objective
work
provide
details
including
various
applications,
type
employed
algorithms,
architecture
models,
outcome
proposed
models.
challenges
gaps
discussed
aiming
inspiration
future
works
field.
Advanced Materials,
Год журнала:
2023,
Номер
35(39)
Опубликована: Июнь 7, 2023
Ionic
dividers
with
uniform
pores
and
functionalized
surfaces
display
significant
potential
for
solving
Li-dendrite
issues
in
Li-metal
batteries.
In
this
study,
single
metal
nitrogen
co-doped
carbon-sandwiched
MXene
(M-NC@MXene)
nanosheets
are
designed
fabricated,
which
possess
highly
ordered
nanochannels
a
diameter
of
≈10
nm.
The
experiments
computational
calculations
verified
that
the
M-NC@MXene
eliminate
Li
dendrites
several
ways:
(1)
redistributing
Li-ion
flux
via
ion
channels,
(2)
selectively
conducting
ions
anchoring
anions
by
heteroatom
doping
to
extend
nucleation
time
dendrites,
(3)
tightly
staggering
on
routine
polypropylene
(PP)
separator
obstruct
growth
path
dendrites.
With
Zn-NC@MXene-coated
PP
divider,
assembled
Li||Li
symmetric
battery
shows
an
ultralow
overpotential
≈25
mV
cycle
life
1500
h
at
high
current
density
3
mA
cm-2
capacity
mAh
.
Remarkably,
Li||Ni83
pouch
cell
energy
305
Wh
kg-1
is
improved
fivefold.
Moreover,
remarkable
performance
Li||Li,
Li||LiFePO4
,
Li||sulfur
batteries
reveal
well-designed
multifunctional
divider
further
practical
applications.
ACS Applied Energy Materials,
Год журнала:
2023,
Номер
6(3), С. 1155 - 1175
Опубликована: Янв. 25, 2023
Metal
chalcogenides
have
been
considered
as
one
kind
of
the
most
promising
anodes
for
lithium-ion
batteries
(LIBs)
and
sodium-ion
(SIBs)
due
to
their
high
capacities,
thermal
stabilities,
low
price.
However,
natural
poor
conductivity
large
volume
expansion
metal
leading
a
rapid
capacity
deterioration
seriously
makes
them
difficult
commercial
applications.
A
1D
carbon-source
nanostructure
based
on
electrospinning
can
perfectly
address
issues
because
its
cost-effectiveness,
versatility,
controllability.
Herein,
we
present
comprehensive
review
development
chalcogenide
nanomaterial
by
LIBs
SIBs.
By
subdividing
various
active
materials,
this
Review
focuses
evolution
in
architectonics
component
electrospun
electrode
materials.
Particularly,
current
progress
oxides,
sulfides,
selenides
materials
SIBs
has
appropriately
discussed,
respectively.
Finally,
outlook
is
also
given.
In
near
future,
high-performance
via
will
play
an
effective
role
promotion
application
Further,
other
advanced
energy-storage
devices
draw
experience
from
design
fabrication
hierarchical
ACS Energy Letters,
Год журнала:
2023,
Номер
8(8), С. 3404 - 3411
Опубликована: Июль 17, 2023
Efficient
desolvation
and
fast
lithium
ion
(Li+)
transport
are
key
factors
for
fast-charging
Li
metal
batteries
(LMBs).
Here,
we
report
a
self-assembled
interphase
(SAI)
with
ordered
Li+
pathways
to
enable
high
conductivity
LMBs.
A
structure
originating
from
the
intermolecular
π–π
stacking
endows
SAI
pathways.
The
regular
molecular
gradient
distribution
of
functional
groups
contribute
spatially
confined
Li+.
Thereby,
stable
anode
(LMA)
durable
solid-electrolyte
interphase,
accelerated
transfer,
homogeneous
plating/stripping
is
achieved
at
rates.
full-cell
battery
protected
LMA|LiNi0.8Co0.1Mn0.1O2
delivers
capacity
147
mAh
g–1
an
improved
retention
500
cycles
3
C
(1
=
210
mA
g–1),
full
cell
can
deliver
over
71%
its
in
12
min.
Renewable and Sustainable Energy Reviews,
Год журнала:
2024,
Номер
200, С. 114577 - 114577
Опубликована: Май 21, 2024
Digitalization
of
lithium-ion
batteries
can
significantly
advance
the
performance
improvement
by
enabling
smarter
controlling
strategies
during
operation
and
reducing
risk
expenses
in
design
development
phase.
Accurate
physics-based
models
play
a
crucial
role
digitalization
providing
an
in-depth
understanding
system.
Unfortunately,
high
accuracy
comes
at
cost
increased
computational
preventing
employment
these
real-time
applications
for
parametric
design.
Machine
learning
have
emerged
as
powerful
tools
that
are
increasingly
being
used
battery
studies.
Hybrid
be
developed
integrating
machine
algorithms
well
efficiency.
Therefore,
this
paper
presents
comprehensive
review
current
trends
integration
to
accelerate
batteries.
Firstly,
direction
explicit
modeling
methods
research
reviewed.
Then
thorough
investigation
contemporary
hybrid
is
presented
addressing
both
monitoring
control.
The
objective
work
provide
details
including
various
applications,
type
employed
algorithms,
architecture
models,
outcome
proposed
models.
challenges
gaps
discussed
aiming
inspiration
future
works
field.
