Research on Online Energy Management Strategy for Hybrid Energy Storage Electric Vehicles Under Adaptive Cruising Conditions
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(7), P. 3232 - 3232
Published: April 4, 2025
To
address
the
critical
challenge
of
high
energy
consumption
in
single-source
electric
vehicles,
this
study
proposes
a
hybrid
storage
system
(HESS)-integrated
management
strategy
(EMS).
Firstly,
car-following
and
HESS
models
are
constructed.
Secondly,
multi-objective
optimization
framework
balancing
adaptive
cruise
control
(ACC)
optimal
tracking
quality
economy
is
developed,
where
fast,
non-dominated
sorting
genetic
algorithm
(NSGA-II)
resolves
dynamic
power
demands.
Thirdly,
third-order
Haar
wavelet
enables
online
rolling
decomposition
profiles.
The
high-frequency
transient
matched
by
supercapacitor,
while
low-frequency
steady-state
utilized
as
an
input
variable
to
controller.
Then,
fuzzy
logic
controller
dynamically
optimizes
HESS’s
distribution
based
on
state-of-charge
(SOC)
load
conditions.
Finally,
simulation
model
has
been
constructed
utilizing
MATLAB/Simulink
platform.
Comparative
analysis
under
Urban
Dynamometer
Driving
Schedule
(UDDS)
demonstrates
3.71%
reduction
total
demand
ego
vehicle
compared
front
vehicle.
Compared
configurations,
ensures
smoother
SOC
dynamics
lithium-ion
batteries.
After
employing
for
power,
battery
substantially
reduced.
three
strategies
that
wavelet-fuzzy
approach
exhibits
superior
comprehensive
performance.
Consequently,
proposed
effectively
mitigates
peak
charge/discharge
currents
entire
This
provides
novel
solution
systems
vehicles
(HESEV)
ACC
scenarios.
Language: Английский
Electric Vehicle Routing with Time Windows and Charging Stations from the Perspective of Customer Satisfaction
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(9), P. 4703 - 4703
Published: April 24, 2025
The
use
of
electric
vehicles
in
urban
transportation
is
increasing
daily
due
to
their
energy
efficiency
and
environmental
friendliness.
In
last-mile
logistics,
route
optimization
must
consider
charging
station
locations
while
balancing
operational
costs
customer
satisfaction.
this
context,
solutions
for
cost-oriented
have
been
presented
the
literature.
On
other
hand,
satisfaction
also
important
third-party
logistics
companies.
This
study
discusses
Capacitated
Electric
Vehicle
Routing
Problem
with
Time
Windows
(CEVRPTW)
encountered
logistics.
article
defines
objective
function
minimizing
total
tardiness
compares
routes
between
service
provider
company
receiving
service.
study,
CEVRPTW
was
solved
minimum
hybrid
adaptive
large
neighborhood
search
(ALNS)
algorithm.
success
ALNS
proven
by
comparing
differences
optimal
obtained
CPLEX
Solver
solutions.
Tardiness
function-specific
operators
are
proposed
supported
local
VNS
algorithms.
findings
contribute
literature
analyzing
balance
trade-offs
customer-oriented
effect
time
windows
on
number
vehicles.
Language: Английский