Deep Reinforcement Learning-based Plug-in Electric Vehicle Charging/Discharging Scheduling in a Home Energy Management System
Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 134420 - 134420
Published: Jan. 1, 2025
Language: Английский
Deep reinforcement learning-based energy management strategy for fuel cell buses integrating future road information and cabin comfort control
Chunchun Jia,
No information about this author
Wei Liu,
No information about this author
Hongwen He
No information about this author
et al.
Energy Conversion and Management,
Journal Year:
2024,
Volume and Issue:
321, P. 119032 - 119032
Published: Sept. 11, 2024
Language: Английский
A systematic study involving patent analysis and theoretical modeling of eco-friendly technologies for electric vehicles and power batteries to ease carbon emission from the transportation industry
Aqib Zahoor,
No information about this author
Jinbo Zhang,
No information about this author
Dan Wu
No information about this author
et al.
Energy Conversion and Management,
Journal Year:
2024,
Volume and Issue:
321, P. 118996 - 118996
Published: Sept. 12, 2024
Language: Английский
Multi-performance enhanced eco-driving strategy for connected fuel cell hybrid electric bus based on stein soft actor-3-critic
Jiaxuan Zhou,
No information about this author
Jiankun Peng,
No information about this author
Jingda Wu
No information about this author
et al.
Energy,
Journal Year:
2024,
Volume and Issue:
307, P. 132697 - 132697
Published: Aug. 3, 2024
Language: Английский
Multi-objective adaptive energy management strategy for fuel cell hybrid electric vehicles considering fuel cell health state
Jiabao Cheng,
No information about this author
Fubin Yang,
No information about this author
Hongguang Zhang
No information about this author
et al.
Applied Thermal Engineering,
Journal Year:
2024,
Volume and Issue:
257, P. 124270 - 124270
Published: Aug. 30, 2024
Language: Английский
Towards adaptive deep reinforcement learning energy management for electric vehicles: An online updating approach
Kaifu Guan,
No information about this author
Zhiwu Huang,
No information about this author
Yang Gao
No information about this author
et al.
Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 135996 - 135996
Published: April 1, 2025
Language: Английский
Sustainable mobility in India: advancing domestic production in the electric vehicle sector
Discover Sustainability,
Journal Year:
2025,
Volume and Issue:
6(1)
Published: Jan. 23, 2025
Language: Английский
Sim-to-real design and development of reinforcement learning-based energy management strategies for fuel cell electric vehicles
Applied Energy,
Journal Year:
2025,
Volume and Issue:
393, P. 126030 - 126030
Published: May 12, 2025
Language: Английский
Enhancing data-driven energy management strategy via digital expert guidance for electrified vehicles
Applied Energy,
Journal Year:
2024,
Volume and Issue:
381, P. 125138 - 125138
Published: Dec. 24, 2024
A Comprehensive Review on Energy Management Strategies for Fuel‐Cell‐Based Electric Vehicles
Energy Technology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 25, 2024
The
rapid
growth
of
the
transportation
sector
in
past
few
decades
has
contributed
significantly
to
global
warming
issues,
leading
extensive
research
on
vehicles
having
nearly
zero
or
total
tailpipe
carbon
emissions.
automobiles
within
this
classification
belong
hybrid
electrical
(HEVs),
plug‐in
HEVs,
battery–electric
(BEVs),
fuel‐cell
(FC)
EVs
(FCEVs),
and
FC
HEVs.
FCHEVs
are
powered
by
a
combination
systems,
rechargeable
batteries,
ultracapacitors,
and/or
mechanical
flywheels.
technology
appears
hold
potential
terms
extended
driving
distances
quicker
refueling
times
for
that
emit
no
exhaust
fumes.
A
significant
number
studies
have
examined
various
types
energy‐storage
devices
as
vehicle
power
supply,
their
interfacing
with
drive
mechanism
using
converters
energy
management
strategies
(EMS).
In
article,
EMS
FC‐based
discussed.
Classifications
FCEVs,
BEVs,
EMSs
developed
researchers.
review
report,
it
is
indicated
existing
capable
performing
well,
yet
further
required
better
reliability
intelligence
toward
achieving
greater
fuel
efficiency
lifetime
upcoming
FCHEVs.
Language: Английский