Defining Signatures for Intelligent Vehicles with Different Types of Powertrains
World Electric Vehicle Journal,
Journal Year:
2025,
Volume and Issue:
16(3), P. 135 - 135
Published: March 1, 2025
This
article
presents
a
straightforward
and
effective
way
of
adding
the
Internet
Vehicles
function
to
vehicles
with
different
drive
systems.
By
equipping
vehicle
transmission
device
that
communicates
vehicle’s
on-board
diagnostics
system,
current
parameters
operation
can
be
read.
allows
for
wireless
application
installed
on
mobile
device.
The
related
together
location
data
from
Global
Positioning
System
are
transferred
cloud
server.
In
this
way,
each
system
acquires
function.
Using
setup,
short
trips
in
urban
conditions
were
carried
out
an
internal
combustion
engine
plug-in
hybrid
vehicle.
then
processed
using
KNIME
analytical
platform.
Signatures
characterizing
two
types
systems
created.
obtained
results
analyzed
various
tools
experimentally
validated.
presented
method
is
universally
applicable
quick
recognition
based
signatures
implementing
k-means
analysis.
Acquiring
processing
used
obtain
important
information
about
itself,
road
infrastructure,
immediate
surroundings,
which
translate
into
increased
safety.
Language: Английский
The selection of an electric vehicle for the existing photovoltaic system - case study in Polish climatic conditions
The Archives of Automotive Engineering/ Archiwum Motoryzacji,
Journal Year:
2024,
Volume and Issue:
103(1), P. 38 - 56
Published: March 28, 2024
The
article
presents
an
algorithm
for
selecting
electric
vehicle
your
photovoltaic
system.
Generating
electricity
by
distributed
systems
is
a
very
visible
trend
across
Europe.
Individual
and
institutional
owners
are
looking
opportunities
to
save
large
amounts
of
money
spent
on
the
purchase
electricity.
Many
times
they
have
built
system
larger
than
their
current
energy
needs.
author
suggests
solution
increase
produced
own
needs
instead
giving
it
power
grid
at
unfavorable
prices.
Such
that
will
be
charged
with
surplus
energy.
Research
selection
should
start
precise
profile
consumption
from
grid,
production
transferring
its
excess
grid.
next
step
characterize
potential
vehicle.
characteristics
include
determination
capacity
traction
battery
methods
charging.
final
stage
analytical
confirmation
choice
made.
For
this
purpose,
Metalog
family
distributions
was
used
determine
probability
generating
appropriate
hourly
amount
needed
charge
Language: Английский
The Micromobility Tendencies of People and Their Transport Behavior
Applied Sciences,
Journal Year:
2023,
Volume and Issue:
13(19), P. 10559 - 10559
Published: Sept. 22, 2023
Addressing
transport
in
cities
requires
a
change
people’s
behavior
and
better
distribution
of
different
modes’
performances—a
the
modal
split.
This
article
focuses
on
detailed
research
behaviors
residents
their
attitudes
towards
possible
changes.
We
developed
questionnaire
distributed
it
online
physically.
The
data
came
from
an
anonymous
survey,
basic
statistical
methods
correlation
analysis
were
applied
to
them.
One
tasks
was
find
correlations
between
individual
characteristics.
showed
that
respondents’
education
influenced
opinions
about
behavior.
results
most
common
means
shared
mobility
bicycles.
paper
contains
regarding
use
private
cars
general.
In
addition,
study
presents
other
significant
findings
average
number
vehicles
households,
types
vehicles,
usage
patterns.
our
are
useful
for
practical
applications,
because
they
describe
traffic
patterns
can
improve
future
decision
making
planning.
Language: Английский
Gaussian Process Regression as a precrash velocity determination method–subcompact vehicle class
The Archives of Automotive Engineering/ Archiwum Motoryzacji,
Journal Year:
2024,
Volume and Issue:
105(3), P. 65 - 73
Published: Sept. 23, 2024
The
following
paper
presents
an
innovative
approach
to
determining
vehicle
precrash
velocity
when
hitting
immovable
obstacle
facing
forward.
Precrash
is
necessary
in
order
perform
a
crash
reconstruction.
It
needed
for
the
time-space
analysis
of
events,
as
well
assesscrash
mitigation
and
evaluate
drivers’
technique
tactics.
For
this
task,
authors
are
using
Gaussian
Process
Regression
(GPR).
Such
offers
number
advantages
over
currently
used
methods
that
prove
be
outdated
considering
modern
vehicles.
mathematical
model
was
trained
on
database
shared
by
National
Highway
Traffic
Safety
Administration..
This
covers
large
tests
different
kind,
however
focus
frontal
collisions
subcompact
car
class.
Due
low
accuracy
linear
up
till
now,
Authors
developed
determine
EES
parameter
utilizing
process
regression.
newly
method
effective
accurate
way
vehicle’s
shows
promising
results,
demonstrated
paper.
Language: Английский
Selection of the photovoltaic system power for the electric vehicle
The Archives of Automotive Engineering/ Archiwum Motoryzacji,
Journal Year:
2023,
Volume and Issue:
100(2), P. 44 - 61
Published: June 30, 2023
The
article
presents
a
method
of
photovoltaic
system
power
selecting
for
proper
electric
vehicle.
At
the
beginning,
characteristics
vehicle
itself
and
its
traction
batteries
were
made
in
order
to
determine
charging.
In
presented
studies,
measurement
data
from
operation
real
systems
was
recorded
processed.
algorithm
used
includes
examining
energy
consumption
profile
owner's
residential
building.
combined
demand
electricity
building
it
possible
planned
system.
authors
three
possibilities
location.
It
can
be
installed
on
roof
building,
ground
next
or
carport
under
which
an
parked.
Finally,
Metalog
family
probability
distributions
analytically
validate
choice
have
developed
using
human
artificial
intelligence
that
helps
properly
select
Language: Английский
A Comprehensive Review of the Distinctive Tendencies of the Diffusion of E-Mobility in Central Europe
Gábor Horváth,
No information about this author
Attila Bai,
No information about this author
S. Szegedi
No information about this author
et al.
Energies,
Journal Year:
2023,
Volume and Issue:
16(14), P. 5421 - 5421
Published: July 17, 2023
The
study
introduces
the
current
situation
of
electric
vehicle
technologies,
possibilities
and
possible
directions
their
market,
as
well
economic
environmental
aspects
in
eastern
region
EU,
with
special
regard
to
Hungary.
Our
calculations
show
that
despite
higher
costs
ownership,
case
7
years
use
(among
Hungarian
conditions),
total
cost
Battery
Electric
Vehicles
(BEV)
is
lower
than
Internal
Combustion
Engine
(ICEV)
each
four
segments
analysed.
purchasing
power
population
regions
EU
clearly
compared
western
regions,
yet
people
this
spend
beyond
financial
means
on
motorization.
Despite
its
unfavourable
position,
Hungary
a
particularly
advantageous
position
other
countries
per
capita
terms
spread
BEVs.
In
long
run,
even
taking
prices
into
account,
cars,
general,
has
significant
advantages
from
an
point
view;
maintenance
fuel
(especially
increased
use)
make
EVs
more
cost-effective
overall.
Language: Английский
KINEMATIKA ŘÍDITELNÝCH KOL PŘÍPOJNÉHO VOZIDLA
Perner s Contacts,
Journal Year:
2024,
Volume and Issue:
19(1)
Published: June 30, 2024
Příspěvek
řeší
kinematickou
vazbu
průjezdu
silničního
vozidla
zatáčkou.
V
textu
je
zpracována
problematika
kinematiky
zatáčení
u
silničních
vozidel,
a
to
zejména
jízdní
soupravy.
Za
soupravu
jsem
zvolil
nákladní
tažné
vozidlo
návěs.
U
konvenční
soupravy
při
zatáčkou
dochází
k
odlišné
stopě
kol
tažného
přípojného
vozidla.
Touto
skutečností
ke
zvětšení
stopy
(šířky
jízdního
pruhu).
Jedná
se
o
stav,
který
velmi
limitující
manipulaci
s
vozidlem
v
omezené
prostoru,
jako
jsou
městské
ulice
silnice
nižších
tříd.
Proto
příspěvku
zabýval
matematickou
definici
pro
úhel
natočení
rejdových
náprav
návěsu.
Výsledkem
z
odvozené
kinematické
vztahy,
které
definují
dílčí
úhly
návěsu
tak,
aby
právě
tato
kola
kopírovala
stopu
Současně
teoretická
stránka
aplikována
konkrétní
případ
tahače
Tímto
opatřením
výrazně
zlepší
manipulovatelnost
soupravou
velký
přínos
spatřuji
i
autonomní
jízdě
Kdy
plně
dostačující
menší
počet
snímačů
mapujících
okolí
zachování
vysokého
stupně
bezpečnosti.