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8/11/2019 Fuel Consumption Tabulation in Laboratory Conditions
1/9
Fuel Consumption Tabulation in Laboratory ConditionsM. Alghadhi1. A. Ball. L. E. Kollar. R. Mishra. T. Asim
1University of Huddersfield
Abstract This paper examines the fuel economy displayed by
passenger vehicles and attempts to connect vehicular fuel
consumption to such easily measurable parameters as vehicle
speed, acceleration, gear and throttle position. The central
contention is to understand how fuel consumption is
connected to driving parameters in order to utilise such
findings to reduce vehicle fuel consumption in future vehicle
design. The New European Drive Cycle NEDC! has been
utilised as the testing framewor" to derive the mathematical
relationship between fuel consumption and measurable
driving parameters. The NEDC was simulated underlaboratory conditions, and driving parameters together with
the fuel consumption were measured. # few driving phases
were identified so that any drive cycle may be composed by
these phases$ and mathematical relationships have been fitted
on measured data for each of the phases.
Keywords NEDC, standard driving cycle, mathematicalmodel, real life driving, testing.
. !TR"#$CT"!
The %orld population is &.' billion at the moment and
rising. Climate (hange has (aused %idespread greenhouse
e))e(ts li*e global %arming+ higher a(id le,els in o(eansand redu(ed i(e (o,er at the poles -arrabin+ /012. Thema3or (auses o) greenhouse e))e(t are the by4produ(ts o)
industriali5ation+ and espe(ially (arbon dio6ide -7amimi 8
9arinabadi+ /0112. The le,el o) (arbon dio6ide+ the main
(onstituent o) emission by ,ehi(les+ is lin*ed to(onsumption o) )uel by the ,ehi(le. #ue to this there is
need to regulate the amount o) greenhouse gases that are
emitted into the atmosphere and this is e))e(ti,e by )uel
e(onomy.The )uel e(onomy -FE2 o) any ,ehi(le (an be (al(ulated
as a ratio o) distan(e tra,elled per unit ,olume o) )uel
(onsumed or as the ratio o) )uel (onsumption per distan(e
tra,elled -:FE+ /012. Fuel e(onomy standards (an be o),arious )orms su(h as litres o) )uel (onsumed per hundred
*ilometres o) distan(e tra,elled or distan(e tra,elled per
unit ,olume o) ,ehi(le )uel -An+ et al.+ /011+ p. ;2. The
regulations pertaining to )uel e(onomy )ollo%ed by the )ourlargest automobile mar*ets+ namely+ the $7+ the E$+ 2.
This paper %ill )o(us on de,eloping a method )or theestimation o) )uel (onsumption o) passenger (ars as a step
to%ard impro,ing the ?uality o) li)e in the urban (entres. n
parti(ular+ laboratory dri,ing obser,ations %ill be used to
propose a )ormulation )or predi(ting )uel (onsumptionunder di))erent dri,ing phases %hen the ,ehi(le speed+
a((eleration and throttle position are *no%n.
. F$ELEC"!"M@
Fuel e(onomy has been )ound to play an important rolein the redu(tion o) greenhouse gases and espe(ially (arbon
dio6ide. #ue to this+ it is pursued by (ountries see*ing to
redu(e their le,els o) emissions. Automobile mar*ets as
%ell as manu)a(turers need to (onsider the )uel e(onomyset standards %ithin a mar*et or (ountry in ma*ing and
distributing more e))i(ient ,ehi(les. There has been a shi)t
in the priority o) impro,ing )uel e(onomy %ith pre)eren(eto redu(ing the emission o) greenhouse gases by ,ehi(les as
a %ay o) redu(ing the greenhouse e))e(t. E,en %ith the
reno,ation o) )uel e(onomy standards in de,eloped
(ountries+ the in(reasing demands on oil and in(reasedemission o) greenhouse gases is still a ma3or (hallenge
%hi(h is yet to be )ully addressed -An+ et al.+ /0112.
Fuel e(onomy (an be measured mainly by the amount o)
)uel (onsumed in order to (o,er a gi,en distan(e by anautomobile %hi(h di))ers )rom (ar to (ar -:FE+ /012.
This is a(hie,ed by the use o) dri,e (y(les %ith
(onsideration )or e6ternal )a(tors that may a))e(t results.
These )a(tors in(lude di))erent designs o) (ars %hi(h gi,e
,arying results and ,arying operating (onditions. "perating(onditions either on a high%ay+ an urban en,ironment or a
(ombination o) both+ %ould ha,e di))erent results on
dri,ing (y(les e,en on the same ,ehi(le. 7e,eral )a(torsthat in)luen(e the )uel e(onomy o) a ,ehi(le in(lude the
engine (hara(teristi(s+ gear train (hara(teristi(s+ %eight and
aerodynami(s+ rolling resistan(e+ dri,ing (y(le and dri,er
habits.
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There has been a global initiati,e aimed at redu(ing the
)uel (onsumption globally )rom highs o) litres )or e,ery100 *m (orresponding to />.; mpg do%n to ; litres
(orresponding to '. mpg )or e,ery 100 *m in the ne6t ;0
years -:FE+ /012. An adoption o) similar )uel e(onomy
regulations by ma3or automobile mar*ets %hi(h di))ersigni)i(antly %ould ser,e to standardi5e the issue globally
-An+ et al.+ /0112. hile in(reasing )uel e))i(ien(y in
,ehi(les %ould in(rease e(onomi( (osts to the (ustomer+
the ultimate impro,ements on automobile %ould be o)(onsiderable e(onomi( bene)it to both the manu)a(turer
and (ustomer. The (ustomer %ould sa,e more on )uel
e6penses %hile the manu)a(turer %ould sa,e on potential
e6penses on penalties )or )ailing to (omply %ith theinternational )uel e))i(ien(y standards. The en,ironment
%ould be the greatest %inner in that the emissions o)
(arbon %ould be redu(ed (onsiderably.
. LAB"RAT"R@7M$LAT"!"F#REC@CLE7
A test rig %as utilised to test ,ehi(les in(luding a
transmission dynamometer lo(ated in the ad,an(edAutomoti,e Laboratory at the $ni,ersity o) udders)ield.
The parti(ular dynamometer used )or this study %as a
generator type dynamometer. The test rig is e?uipped %itht%o AAB 1/K% AC #ynamometers+ %ith a ; a6is robot
gear shi)t all (ontrolled by sierra CD Engineerings 1;
so)t%are.
n order )or the (orre(t load to be applied to the ,ehi(leas i) it %ere in the ,ehi(le the system runs in Road la%
%hi(h enables the dynamometers to (hange dependent on
aerodynami( and tyre )ri(tional )or(es that %ould be
e6perien(ed. The system is integrated %ith speed+ pressure+)uel and temperature transdu(ers to enable all aspe(ts o) the
po%er train to be measured a((urately. The engine utilised
in the testing is a /00' !issan Mi(ra ; (ylinder 1.;L1&,engine that is atta(hed to a standard ' speed manual
gearbo6. The engine and its dri,e train are instrumented
%ith ,arious sensors and the re?uired dri,e (y(les %ere
programmed using the Cadet 1; so)t%are.
F:$RE 1 4 TE7T R: EMDL"@E# F"R E!:!E TE7T!: F"R
TE C$RRE!T RE7EARC
A number o) di))erent logged and deri,ed parameters
%ere as(ertained in order to ,eri)y the )uel (onsumption at,arious engine loads. The ,arious primary parameters noted
)or this study %ere the throttle position+ de,eloped tor?ue+
engine head assembly+ (oolant and oil temperatures+ (ran*
angle+ sha)t position+ )uel emissions and engine speed. naddition+ a number o) other engine parameters %ere logged
su(h as the (ombustion pressure+ engine (omponent
a((eleration+ ,ibration le,els+ stress le,els o) (omponents+
inta*e and e6haust pressure+ ignition timing+ ,al,e li)t+engine *no(*ing et(. These parameters %ere manipulated in
order to de(ipher a )itting mathemati(al model )or ,arious
engine operating ranges. Moreo,er+ these parameters %ere
manipulated to )ind out the )uel (onsumption at ,ariousper)orman(e le,els o) the engine.
F:$RE / 4 7"FTARE $7E# F"R M"!T"R!: DARAMETER7
#$R!: TE7T!:
A. Air and Water Cooling
The e6(ess energy produ(ed by the engine %as remo,ed
using the (oolant as %ell as engine oil. 7in(e the engine%as stationary during testing+ air had to be pro,ided to
assist (ooling. For this purpose+ t%o Bo%man heat
e6(hangers+ %ith a (ontrolled %ater supply that is (ooled
,ia a '00* air blast (ooler %ere utili5ed using apneumati(ally (ontrolled three %ay ,al,e using a D# loop.
B. Fuel Flow
Fuel )lo% tends to ,ary transiently as the engine testing
pro(eeds. Fuel )lo% %as measured along %ith )uel
temperature and pressure through a D# loop reporting tothe 1; so)t%are. The system=s maintained a((ura(y
remained 0.GH.
C. Speed Measurement
7peed is typi(ally measured using a ,ariable relu(tan(e
sensor that operates on indu(ti,e prin(iples. :ear teeth are
employed to register speed on an indu(tion type probe. For)urther pro(essing+ the time domain is (on,erted into the
2
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)re?uen(y domain %hi(h is then in turn (on,erted to
angular ,elo(ity. t is (ommon to use gears %ith si6ty teethto per)orm measurements sin(e this allo%s e?uating the
measured )re?uen(y to the angular ,elo(ity.
Mathemati(ally -:itano4Briggs+ /00+ p. ;;2I
hereI
is the angular ,elo(ity in re,olutions per minute
is the number o) teeth read by the indu(tion probe
is the distan(e bet%een the same points on t%o
(onse(uti,e sinusoidal %a,es
F:$RE 4 T@DCAL :EAR T""T $7E# F"R E!:!E 7DEE#
MEA7$REME!T 7"$RCE# FR"M -:TA!"4BR::7+ /00+ D.;;2
D. Aeleration Measurement
A((eleration measurements are not (arried out dire(tly
on the dynamometer sin(e it %ould tend to (ompli(ate the
o,erall sensor inter)a(e by employing too many sensors in
a limited spa(e. A more (on,enient approa(h %ould be touse deri,ed measurements su(h as speed to (al(ulate the
a((eleration as re?uired. The a((eleration is obtained using
the mathemati(al relationship )or speed as )ollo%sI
hereI is the amount o) time )or %hi(h the
a((eleration re?uires (omputation
!. "#rottle $osition Measurement
The throttle position is (hanged in order to ,ary engine
speed and needs to be monitored (ontinuously duringtesting. A ,ariable resistor is used in order to sense the
throttle position. The potentiometer is mounted on the
throttle itsel) at one end o) the throttle sha)t (ontrolled by
the throttle (able. A simple ' #C po%er supply is used toper)orm these measurements that respond to (hanges in
resistan(e at the potentiometer as the throttle (able (hanges
the throttle position. The )inal output parameter is the
throttle position signal -TD72 that dire(tly measures thethrottle position as a distin(t ,oltage le,el %hen the throttle
(hanges its state. A throttle and throttle sensor arrangement
is sho%n belo%I
F:$RE ; 4 TR"TTLE A!# TR"TTLE 7E!7"R D"7T"!!:
7"$RCE# FR"M -:TA!"4BR::7+ /00+ D.;&2
F. "or%ue Measurement
Tor?ue measurements %ere (arried out by installingtor?ue )langes (oupled to the motor and the output sha)t o)
the gearbo6. Tabulation o) the rolling radius o) the tyre
allo%s the 1; so)t%are to (al(ulate the tor?ue beingdeli,ered by the engine.
&. "emperature Measurement
Temperature measurements %ere (arried out using a t%opronged approa(h. Temperature o) oil+ %ater and inta*e air
%ere measured utili5ing DRT sensors sin(e they a))ord
greater a((ura(y and resolution at lo% temperatures. n
(ontrast+ e6haust gas temperatures %ere tabulated using K4type thermo(ouples sin(e they pro,ide a((urate readings up
to 1/'0oC. All temperature readings %ere integrated
through the 1; inter)a(e.
H. Data A%uisition
The signals produ(ed by most sensors are analogue andre?uire digital (on,ersion be)ore they (an be pro(essed.
The sampling rate o) the sensors is also o) prime
importan(e. 7ampling rate %as *ept at '0 5 per (hannel
and the sampling %as di,erted to 1; )or pro(essing intoC7 )ormat so that data (ould be e6tra(ted and analysed
any%here by a spreadsheet pro(essor.
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. #REC@CLE
:as emission )rom ,ehi(les is a big (ontributor to theo,erall (on(entration o) greenhouse gases in the
atmosphere and espe(ially (arbon dio6ide. :reen house gas
emissions are responsible )or both global %arming and the
resulting (limate (hange patterns. :lobal %arming isin(reasing the global temperatures in(rementally annually.
Moreo,er+ (limate based disturban(es su(h as )loods+droughts et(. are threatening the sur,i,al o) entire
(ommunities. ehi(le e6hausts are one o) the ma3or(ontributors o) greenhouse gases globally. As a response to
this threat to the en,ironment+ ma3or ,ehi(le mar*ets are
introdu(ing standards to ensure )uel e(onomy in their
(ountries %ith the main aim o) redu(ing the emission o)greenhouse gases )rom ,ehi(les. A number o) di))erent
measures su(h as the introdu(tion o) hybrid ,ehi(les and
engines %ith lo%er emissions ha,e been initiated to redu(e
the s(ale and (ontribution o) ,ehi(le e6haust. Fuele(onomy %hi(h is measured by the amount o) )uel
(onsumed per unit distan(e by an automoti,e is en)or(ed
by the use o) dri,e (y(les. Fa(tors that %ould result indi))ering obser,ations in the same ,ehi(le are noted and the,ehi(le is tested in di))erent en,ironments su(h as on a
high%ay+ an urban region or a (ombination o) both. 7e,eral
)a(tors that in)luen(e the )uel e(onomy o) a ,ehi(le in(lude
the engine (hara(teristi(s+ gear train (hara(teristi(s+ %eightand aerodynami(s+ rolling resistan(e+ dri,ing (y(le and
dri,er habits -:FE+ /012.
. EJDERME!TAL7M$LAT"!"F#REC@CLE7
A test rig %as utilised to test ,ehi(les %hi(h is lo(ated inthe ad,an(ed Automoti,e Laboratory at $ni,ersity o)
udders)ield. The test rig is e?uipped %ith t%o AAB
1/K% AC #ynamometers+ %ith a ; a6is robot gear shi)t
all (ontrolled by sierra CD Engineerings 1; so)t%are. Athorough (omparison o) ,arious dynamometers %as (arried
out in order to as(ertain the optimal dynamometer )or the
(urrent resear(h. As a (onse?uen(e o) this in,estigation+ a
generator type dynamometer %as )ound to be the bestpossible resear(h tool.
n order )or the (orre(t load to be applied to the engine
as i) it %ere in the ,ehi(le+ the system runs in Road la%
%hi(h enables the dynamometers to (hange depending onthe aerodynami( load and tyre )ri(tional )or(es that %ould
be e6perien(ed. The system is integrated %ith speed+
pressure+ )uel and temperature transdu(ers to enable all
aspe(ts o) the po%er train to be measured a((urately. Theengine utilised in the testing is a /00' !issan Mi(ra ;
(ylinder 1.;L1&, engine that is atta(hed to a standard '
speed manual gearbo6. The engine and its dri,etrain is
instrumented %ith ,arious sensors and the re?uired dri,e(y(les %ere programmed using the Cadet 1; so)t%are.
The sensors integrated %ith the testing e?uipment in(luded
pressure+ temperature+ ,elo(ity+ a((eleration et(. so that
reliable data (ould be e6tra(ted )or analysis.
. ADDLCAT"!"FTE!EE$R"DEA!#REC@CLE
A. 'ew !uropean Drive Cyle
The !E#C (onsists o) )our di))erentiated (y(les o)urban dri,ing and one (y(le o) e6tra urban dri,ing. The
(entral (ontention is to emulate the dri,e (y(le %hi(h
represents di))erent modes o) dri,ing in European (ities.
The urban dri,ing (y(le is (omposed o) (onse(uti,ea((elerations+ steady speed pat(hes+ de(elerations as %ell as
idling pat(hes. The o,erall (ombination o) these pat(hes
allo%s a repli(ation o) the o,erall dri,e (y(le using an
in(remental approa(h. n (ontrast+ the e6tra urban dri,ing(y(le is (omposed o) steady speed testing bet%een G'
*mhr and 1/0 *mhr as sho%n in Figure ;-a2 belo%.
(a)
(b)
F:$RE ' 4 TE !E E$R"DEA! #RE C@CLE -A2 A7 #EF!E#
FR"M -BERR@+ /00G+ D. 1/2+ -B2 A7 7M$LATE#
EJDERME!TALL@
B. !(perimental simulation of 'ew !uropean Drive
Cyle
The entire !E#C %as simulated in laboratory (onditions
in order to e6tra(t ?uanti)iable results )or predi(tion o) )uel
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(onsumption. A generator type dynamometer %as utili5ed
in order to test the engine to e6tra(t data )or analysis. Theresulting ,ehi(le speed time history is plotted in Figure
'-a2+ and (ompared to the de)ined dri,e (y(le that is sho%n
in Figure ;-a2. More details about the )irst urban dri,ing
(y(le+ i.e. appro6imately the )irst /00 s in the !E#C+ arepro,ided in Figures '-a24-d2 sho%ing time histories o) o)
dri,e4(y(le parameters that are the most in)luen(ing on )uel
(onsumption+ i.e. ,ehi(le speed+ a((eleration+ and throttle
position+ together %ith )uel (onsumption -or morepre(isely+ the )uel mass )lo% rate in gs2. The ,arious
dri,ing modes %ere utili5ed in order to tabulate the )uel
(onsumption )or the o,erall dri,ing (y(les tested. The
a,erage )uel mass )lo% rate during this (y(le is 0.; gs.The )uel density is 00 gl thus+ the (onsumption is .'
l100 *m. The (onsumption in the )urther three urban
(y(les and the last e6tra4urban (y(les are .+ ./+ ./ and
'.' l 100 *m+ respe(ti,ely. The a,erage (onsumption inthe entire !E#C is &.' l 100 *m.
(a)
(b)
(c)
(d)
F:$RE & 4 TME 7T"R@ "F TE #RE4C@CLE DARAMETER7#$R!: A! $RBA! #RE C@CLE "F TE !E#C+ -A2 ECLE
7DEE#+ -B2 ACCELERAT"!+ -C2 TR"TTLE D"7T"!+ -#2 F$EL
C"!7$MDT"!
. MATEMATCALM"#ELF"RDRE#CT"!"FF$EL
C"!7$MDT"!#$R!:#REC@CLE7
The )uel e(onomy o) ,ehi(les (an be e,aluated ,ia
measuring the )uel (onsumption during dri,e (y(les. The
!e% European #ri,e Cy(le -!E#C2 -Berry+ /00G2 %assimulated e6perimentally and those results are used here to
de,elop an empiri(al relationship. For the purposes o)
mathemati(al modelling the !E#C (lassi)i(ations o) urban
dri,ing and e6tra urban dri,ing %ere de(omposed intosmaller more ?uanti)iable dri,ing phases as )ollo%sI
4 (onstant speed
4 a((eleration
4 de(eleration due to gradient %ith throttle4 de(eleration %ithout throttle
4 gear (hanges.
These phases may be used to (onstru(t any random
dri,ing (y(le that emulates the di))erent *inds o) dri,ing(onditions and dri,ing beha,iour e6perien(ed on both
urban and e6tra urban roads. The )uel (onsumption o) any
,ehi(le dri,en in these phases depends on se,eral di))erent
parameters that are used to des(ribe the dri,ing (y(le. An
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e6amination o) multiple )a(tors %as (arried out to (lassi)y
%hi(h )a(tors made the greatest (ontributions to )uel(onsumption. ithin the e6amined parameters+ the
)ollo%ing parameters %ere obser,ed to e6ert a large
in)luen(eI
4 ,ehi(le speed -,24 a((eleration -a2
4 throttle position -p2
4 gear -:2.
These parameters ha,e been used e6tensi,ely throughoutthe analysis presented belo% to propose a mathemati(al
model that (an predi(t )uel (onsumption -(2 in a ,ariety o)
di))erent dri,ing (onditions.
The least s?uares method is used to )it )un(tions one6perimentally obtained data. #i))erent )ormulae are
de,eloped )or the )i,e dri,ing phases listed abo,e.
Re)eren(e ,alues o) ea(h re(orded parameter ,elo(ity+
a((eleration+ throttle position and )uel (onsumption -,0+ a0+p0+ and (02 %ere determined be)orehand and these %ere
then used )or relating to the o,erall relationship. This
allo%ed the (reation o) mathemati(al relationships that
(ould be used independently in a number o) situations no
matter %hat units %ere used to e6press these parameters.
A. Constant speed
hen a passenger (ar mo,es %ith a (onstant speed+ the
a((eleration is 5ero+ and the throttle position is (onstant+
although this (onstant depends on the ,ehi(le speed. The)uel (onsumption in this (ase is a ?uadrati( )un(tion o) the
,ehi(le speed. Thus+ it (an be assumed in the )ollo%ing
)ormI/
0
1/
0
1110
0
++=
v
v)
v
v))
-12
Figure & sho%s measured data in (onstant speed phasestogether %ith the ?uadrati( (ur,e that is )itted on those data
using the (onstants obtained a)ter applying least s?uares
)ittingI*10 0.0&
*11 0.&'/
*1/ /.>1.
0 20 40 60 80 100 120 1400
0.5
1
1.5
2
2.5
3
3.5
4
4.5Constant speed
Vehicle speed (km/h)
Fuelconsump
tion(kg/h)
measured
computed
F:$RE G 4 F$EL C"!7$MDT"! ! NC"!7TA!T 7DEE#O
DA7E7 ! TE !E E$R"DEA! #RE C@CLE
B. Aeleration
n the (ase o) a((eleration+ the )uel (onsumption isproportional to the parameter 1-a,2/. The )uel
(onsumption o) the ,ehi(le (an be assumed to beha,e in
the )ollo%ing )ormI
//
/
/
0
0
/1
0
)
v
v
a
a)
=
-/2
Figure G sho%s measured data in a((eleration phases
together %ith the (ur,e that is )itted on those data %ith the)ollo%ing (onstantsI
*/1 10.1G>
*// P0./>'.
0 0.005 0.01 0.015 0.02 0.025 0.03 0.035 0.04 0.0450.5
1
1.5
2
2.5
3
3.5
4
4.5
5Acceleration
Acceleration/Vehicle speed2(h/(s*km))
Fuelconsumption(kg/h)
measured
computed
F:$RE 4 F$EL C"!7$MDT"! ! NACCELERAT"!O DA7E7
! TE !E E$R"DEA! #RE C@CLE
C. Deeleration due to gradient wit# t#rottle
n the (ase o) de(reased throttle opening+ the )uel
(onsumption is proportional to the produ(t o) throttleposition and ,ehi(le speed ,p. This indi(ates that the
relationship %ould be linear in nature and (an be e6pressed
in the )orm o) a simple linear e?uation. Thus+ the
relationship bet%een throttle opening and )uel (onsumption)or de(eleration (an be assumed to be o) the )ollo%ing
)ormI
00
10
0pv
vp))
+=
-2
Fig. sho%s measured data in de(eleration due togradient %ith throttle phases together %ith the (ur,e that is)itted on those data. The (orresponding (onstants are
(omputed as )ollo%sI
*0 0.;&G'
*1 1;.;&1.
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0 200 400 600 800 1000 1200 1400 1600 1800 20000
0.5
1
1.5
2
2.5
3Deceleration/gradient with throttle
Throttle position*speed (%*(km/h))
Fuelconsumption(kg/h)
measured
computed
F:$RE > 4 F$EL C"!7$MDT"! ! N#ECELERAT"! #$E T"
:RA#E!T T TR"TTLEO DA7E7 ! TE !E E$R"DEA!
#RE C@CLE
D. Deeleration wit#out t#rottle
The ,ehi(le may slo% do%n %hile it is still in gear+ but
the dri,er released the throttle pedal. n this (ase+ the )uel isnot in3e(ted+ thus+ the )uel (onsumption drops to 5ero.
Finally+ the ,ehi(le may slo% do%n %hile the gear is in
neutral. n this (ase+ the )uel (onsumption is appro6imately
the same as during idling+ %hi(h is a spe(ial (ase o) the(onstant speed phase+ i.e. %hen the speed is 5ero.
!. &ear #ange
#uring gear (hange+ the (onsumption may ,ary
(onsiderably+ but this ,ariation o((urs during ?uite short
time inter,als -14 s2. There)ore+ during this phase the
(onsumption is appro6imated by a linear relationship %ith
,ehi(le speed in the )ollo%ing )ormI
0
;1;0
0v
v))
+=
-;2
Figure > sho%s measured data in gear (hange phases
together %ith the (ur,e that is )itted on those data. The
(orresponding (onstants are as )ollo%sI*;0 0.;'0
*;1 1.;;>;.
10 20 30 40 50 60 700.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2Gear change
Vehicle speed (km/h)
Fuelconsumption(kg/h)
measured
computed
F:$RE 10 4 F$EL C"!7$MDT"! ! N:EAR CA!:EO DA7E7
! TE !E E$R"DEA! #RE C@CLE
F. Funtional representation of t#e omplete drive
yle
The )un(tional relationships proposed in this se(tion (anbe applied )or an arbitrary dri,e (y(le. The dri,e (y(le is
di,ided into short phases+ lasting 4' s ea(h+ and the
(onsumption in ea(h o) those short phases is determined by
the (orresponding )ormula. Then+ the total (onsumptionduring the %hole (y(le (an be (al(ulated. The appli(ation
o) the obtained relationships to the !E#C pro,ides a )uel
(onsumption o) 1/.1' l100*m. The (onsumption during
the same (y(le %as measured 11.' l100*m in laboratory.Thus+ the error in the predi(tion using the proposed )ormula
is '.;H.
F:$RE 11 4 F$EL C"!7$MDT"! ! C"!7TA!T 7DEE# DA7E7#$R!: TE7T 1 A!# TE7T /+ A!# T7 DRE#CT"! B@ TE
MATEMATCAL RELAT"!7D
n simple terms+ the algorithm deri,ed )or )uel
(onsumption (al(ulations based on se,eral (onstraints and
di))ering situations (an be e6pressed as belo%I4 The program )irst e6amines i) the gear (hanges
)rom the )irst till last sample in a gi,en short phase+ and i)
so+ then e?uation -;2 is used to determine (onsumption in
that phase.
7
8/11/2019 Fuel Consumption Tabulation in Laboratory Conditions
8/9
4 ) the gear does not (hange -or it is (hanged )rom
neutral2+ then ,elo(ity ,ariation is in,estigated. ) it is
smaller than a pres(ribed limit - / *mh2+ then e?uation-12 is applied to determine (onsumption.
4 ) the ,elo(ity ,ariation is greater than the
pres(ribed limit+ then it is e6amined %hether the
a((eleration is positi,e or negati,e. ) it is positi,e+ then
e?uation -/2 is used to determine (onsumption.
4 ) the a((eleration is negati,e and the gear is inneutral+ then e?uation -12 is used to determine
(onsumption.
4 ) the a((eleration is negati,e+ the gear is not inneutral+ and throttle is not applied -or+ throttle position is
lo%er than a pres(ribed limit2+ then the (onsumption is
5ero.
4 ) the a((eleration is negati,e+ the gear is not inneutral+ but throttle is applied -or+ throttle position is
greater than the pres(ribed limit2+ then the (onsumption is
determined by e?uation -2.
0 50 100 150 200 250 300 350 400 450-1
-0.5
0
0.5
1
1.5
2
2.5
3
Time (s)
Fuelconsumption(g/s)
measured
computed
F:$RE 1/ 4 MEA7$RE# A!# C"MD$TE# F$EL
C"!7$MDT"!7 #$R!: FFT 7$B4C@CLE "F !E#CT"$T !"7E
. C"!CL$7"!
The (urrent paper has loo*ed into the deri,ation o) a
mathemati(al model )or the (al(ulation o) )uel (onsumption
%hen applied to the !E#C. Results indi(ate that both
laboratory testing pro,ided reliable ,alidation %ith themathemati(al model proposed abo,e. The spe(ulated
di))eren(e bet%een laboratory test results and tabulations o)
the proposed mathemati(al model remain around 'H. This
indi(ates good reliability and ,alidity on the part o) the
mathemati(al model. The de(omposition o) the largerdri,ing (y(les into short dri,ing phases pro,ides that this
method (an be used to analyse any dri,ing (y(le. n the
)uture+ the appli(ation o) this mathemati(al model to otherdri,e (y(les %ould also be in,estigated to determine its
appli(ability.
8
8/11/2019 Fuel Consumption Tabulation in Laboratory Conditions
9/9
*eferenes
Q1 Andre+ M. 8 Rapone+ M.+ /00>. Analysis and modelling o) thepollutant emissions )rom European (ars regarding the dri,ing(hara(teristi(s and test (y(les. Atmospheri( En,ironment+ olume
;+ pp. >&4>>'.
Q/ An+ F.+ Robert+ E. 8 Lu(ia+ :.+ /011. :lobal ",er,ie% on FuelE))i(ien(y and Motor ehi(le Emission 7tandardsI Doli(y "ptions
and Derspe(ti,es )or nternational Cooperation+ !e% @or*I $nited
!ations #epartment o) E(onomi( and 7o(ial A))airs.
Q An+ F.+ Robert+ E. 8 Lu(ia+ :.4.+ /011. :lobal ",er,ie% on FuelE))i(ien(y and Motor ehi(le Emission 7tandardsI Doli(y "ptionsand Derspe(ti,es )or nternational Cooperation+ !e% @or*I $nited
!ations #epartment o) E(onomi( and 7o(ial A))airs.
Q; Berry+ . M.+ /00G. The E))e(ts o) #ri,ing 7tyle and ehi(leDer)orman(e on the Real4orld Fuel Consumption o) $.7. Light
#uty ehi(les+ s.l.I s.n.
Q' #EFRA+ /01. Re,ie% o) Test Dro(edures EM7te(0/0/G ssue .Q"nline
A,ailable atI httpIu*4air.de)ra.go,.u*reports(at1'0;01G1/;SAppendi6/ssuetoDhase
/report.pd)
QA((essed > + pp. G1>4G0.
Q :FE+ /01. Auto Fuel E(onomy. Q"nlineA,ailable atI
httpI%%%.unep.orgtransportg)eiautotoolunderstandingStheSprob
lemAboutSFuelSE(onomy.asp
QA((essed 1> 7eptember /01.
Q> :FE+ /01. Auto Fuel E(onomy. Q"nlineA,ailable atI
httpI%%%.unep.orgtransportg)eiautotoolunderstandingStheSprob
lemAboutSFuelSE(onomy.asp
QA((essed / August /01.
Q10 :ia*oumis+ E. :. 8 Lioutas+ 7. C.+ /010. #iesel4engined ,ehi(lenitri( o6ide and soot emissions during the European light4duty
dri,ing (y(le using a transient mapping approa(h. TransportationResear(h Dart #+ olume 1'+ p. 1;P1;.
Q11 :itano4Briggs+ .+ /00. #ynamometry and Testing o) nternalCombustion Engines. s.l.+ $ni,ersity o) 7(ien(e Malayasia+ pp. 14>.
Q1/ arrabin+ R.+ /01. Ar(ti( "(ean Na(idi)ying rapidlyO. Q"nlineA,ailable atI httpI%%%.bb(.(o.u*ne%ss(ien(e4en,ironment4
//;0;1
QA((essed 1> 7eptember /01.
Q1 7amimi+ A. 8 9arinabadi+ 7.+ /011. Redu(tion o) :reenhouse :asesEmission and E))e(t on En,ironment. Australian >. Reasoningabout naming systems. .
Q1& #ing+ . and Mar(hionini+ :. 1>>G A 7tudy on ideo Bro%sing7trategies. Te(hni(al Report. $ni,ersity o) Maryland at College
Dar*.
Q1G FrUhli(h+ B. and Dlate+ 7annella+ M. >; Constraint 7atis)a(tion and #ebugging )or
ntera(ti,e $ser nter)a(es. #o(toral Thesis. $M "rder !umberI$M "rder !o. :AJ>'40>>.+ $ni,ersity o) ashington.
Q/0 Forman+ :. /00. An e6tensi,e empiri(al study o) )eature sele(tionmetri(s )or te6t (lassi)i(ation. 410'.
Q/1 Bro%n+ L. #.+ ua+ .+ and :ao+ C. /00. A %idget )rame%or* )oraugmented intera(tion in 7CADE.
Q// @.T. @u+ M.F. Lau+ VA (omparison o) MC#C+ M$MC$T andse,eral other (o,erage (riteria )or logi(al de(isionsV+