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Modelling of Automotive Systems Objectives To introduce mathematical models and optimization methods that allow a systematic minimization of the energy consumption of vehicle systems. Vehicle A vehicle is a means of transport, such as bicycles, cars, motorcycles, trains, ships, and aircraft. Vehicles that do not travel on land are often called crafts, such as watercraft, sailcraft, aircraft, hovercraft and spacecraft. Most land vehicles have wheels. Scope of the vehicle: Passenger cars 1. Autonomous 2. Refuelling time short 3. Transport 2-6 people 4. Acceleration 10-15 seconds to 100km/h, and 5%ramp at legal top speed Vehicle Propulsion Systems

Vehicle Propulsion Systems

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Modelling of Automotive Systems 1

Objectives To introduce mathematical models and optimization methods that allow a

systematic minimization of the energy consumption of vehicle systems.

VehicleA vehicle is a means of transport, such as bicycles, cars, motorcycles, trains, ships, and

aircraft. Vehicles that do not travel on land are often called crafts, such as watercraft, sailcraft, aircraft, hovercraft and spacecraft. Most land vehicles have wheels.

Scope of the vehicle: Passenger cars1. Autonomous2. Refuelling time short3. Transport 2-6 people4. Acceleration 10-15 seconds to 100km/h, and 5%ramp at legal top speed

Vehicle Propulsion Systems

Modelling of Automotive Systems 2

PowertrainA group of components that generate power and deliver it to the road surface, water, or air, including the engine, transmission, driveshafts, differentials, and the final drive (drive wheels, caterpillar track, propeller, etc.).

The vehicle Powertrain consists primarily of •The Engine (Shown in orange), typically Diesel or Gasoline, but other combustionconcept exist or are on the “horizon”.•The Transmission (Shown in green), either a manual, automatic, continuously/infinitely variable transmission, or a hybrid Powertrain with additional electrical components!•After-treatment Systems such as catalysts or particulate traps (Shown in blue)•Electronic Control Units (ECU) and Control Software

EPSRC

Modelling of Automotive Systems 3

Energy sourcesHydrocarbons: petroleum (Fossil/mineral or biofuel) , coal, and natural gasHydrogen – fuel cellBatteries

Biofuel (agrofuel) can be broadly defined as solid, liquid, or gas fuelconsisting of, or derived from biomass.

Biomass is grown from plants, including miscanthus, switchgrass, hemp, corn, poplar, willow and sugarcane

On-board energy carrier requirementsHigh energy densitySafe and no environmental hazards in production or operation.

Modelling of Automotive Systems 4

Vegetable Oil Fuel

To reduce the viscosity, biodiesel recipe:1. 1 litre of vegetable oil.2. 200 millilitres of methanol (95% pure).3. 5 grams of sodium hydroxide.

Vegetable Oil Fuel HeatersVegetable Oil is much thicker than mineral diesel at typical ambient temperatures. Therefore, if a vehicle is to be powered by vegetable oil, the oil must be heated before it reaches the fuel filter and the engine's injectors,

Modelling of Automotive Systems 5

3 energy conversion steps:

- well to tank

- tank to vehicle

- vehicle to miles

Modelling of Automotive Systems 6

PP-power plant

Modelling of Automotive Systems 7

Energy Densities

• From tank to wheel energy• CNG-compressed natural gas

Modelling of Automotive Systems 8

Batteries as ‘fuel’

Electrochemical on-board energy carriers -Batteries have low density.Used as auxiliary energy storage to improve IC efficiency (hybrid)

• Lead-acid 30Wh/kg• Nickel-metal hydrides 60Wh/kg• ‘hot’ batteries 150Wh/kg (such as sodium-nickle chloride ‘zebra’ battery)• Improvements are slow• Take long time to ‘refuel’

Modelling of Automotive Systems 9

Pathway to better fuel economy

• Improve well to tank efficiencyby optimizing upstream processes

• Improve tank to wheel efficiency by 1. improve the peak efficiency of components

2. improve the part load efficiency3. recuperate kinetic and potential energy in the vehicle4. control propulsion system configuration

• Improve wheel to mile efficiency by reducing the vehicle mass and aerodynamic and rolling losses

Modelling of Automotive Systems 10

Vehicle Energy

• Kinetic energy when have speed

• Potential energy when have altitudes

Vehicle Energy Losses (after engine)

• Aerodynamic drag • Rolling friction• Brake dissipation

Modelling of Automotive Systems 11

Forces acting on vehicle on motion

( )

forceedisturbancothertF

componentforcegravitytFfrictionrollingtF

frictioncaerodynamitFforcemoverprimetF

where

tFtFtFtFtFdt

tdvm

d

g

r

a

t

dgratv

__:)(

__:)(_:)(

_:)(__:)(

)()()()()()(+++−=

Courtesy L.Guzzella et al

Modelling of Automotive Systems 12

Aerodynamic Friction

2

21)( vcAvF dfaa ρ=

Rolling Friction

etcconditionsurfaceroad

pressuretyreptcoefficienfrictionrollingc

gmpvcpvF

t

r

vtrtr

,__:..._:

__:

)cos(,...),(,...),( α=

Modelling of Automotive Systems 13

Gravity force component

αsin)( gmvF vg = Inertia resistance in rotary parts

2,

2,

,,

,

:_

)()(

)( using,_:

)()(:__

)()(:____

w

wwr

w

wm

www

w

mm

wwm

rminertiaWheel

dttdv

rtF

rtv(t)radiuswheelrwherer

tTtFforceinertiaAdditional

dttdtTwheelsoftorqueinertiaTotal

Θ=

Θ=

=

=

Θ=

ω

ωω

ω

ω

ω

Modelling of Automotive Systems 14

( )

eww

werwrr

ew

er

wem

wewe

eem

w

mm

rrmmm

partsrotatingofmassEquivalentr

m

dttdv

rtF

engineofforceinertiatotalThereforeratiogearwhere

dttdv

rt

dtd

dttdtT

rtT

tFforceinertiaAdditional

engineoftorqueinertiaTotal

Θ+Θ

=+=

Θ=

Θ=

=

Θ=Θ=Θ=

=

2

2

2,,

2

2

,

2

2

,

,

,,

:____

)()(

____,_

)()()()(

)()(:__

____

γ

γ

γ

γ

γγωω

ω

ω

ωω

Modelling of Automotive Systems 15

( ) ( )

( ))()()()()()(

resistance as)( Regard

__:)(

__:)(_:)(

_:)(__:)(

)()()()()()(

tFtFtFtFFtFdt

tdvm

dttdvmF

forceedisturbancothertF

componentforcegravitytFfrictionrollingtF

frictioncaerodynamitFforcemoverprimetF

tFtFtFtFtFdt

tdvmm

dgramtv

rm

d

g

r

a

t

dgratrv

++++−=

=

+++−=+

where

eww

wr rr

m Θ+Θ

= 2

2

Modelling of Automotive Systems 16

Performance and Drivability

Top speed

Maximum gradient at which vehicle reaches legal top speed

Acceleration time to 100km/h (60miles/h)

Top speed power (aerodynamic resistance dominant)

3maxmaxmax 2

1 vcAvFP dfaa ρ=≈

Modelling of Automotive Systems 17

Performance and Drivability Uphill driving power maxminmax sinαgmvP v≈

Modelling of Automotive Systems 18

Performance and Drivability Energy required to accelerate the vehicle from 0 to 0v (estimate)

200 2

1 vmE v=

Let mean power

0

0

tEP =

Take

2maxPP =

Time required to accelerate the vehicle from 0 to 0v

max

200

0 Pvm

PEt v==

e.g. seconds100 =t ,

( ) HPKWs

smkgtvmP v 6.10316.77

103600/000,1001000 2

0

20

max ==×

==

Modelling of Automotive Systems 19

Vehicle Operating Modes When coasting on horizontal road and without disturbances

rvdfav gcmtvcAdt

tdvm −−= )(21)( 2ρ

or

rdfav

rdfav

gccAm

where

tvdt

tdvor

gctvcAmdt

tdv

==

−−=

−−=

21

22

221

2

,2

1

)()(

)(2

1)(

βρβ

ββ

ρ

Modelling of Automotive Systems 20

Vehicle Operating Modes When coasting on horizontal road and without disturbances

( )

( ) ( )

( ) ( )

−=

−=−

−=

−=

+

−=

+

∫∫

tvtv

tvtv

ttvdttdv

tv

dttdv

tv

tv

v

tv

v

212

1

1

2

212

1

2

1

02

1

2

12

102

1

222

1

2

1

22

21

0arctantan

0arctanarctan

arctan1,)(

)(

11:nIntegratio

)(

)(

/1

00

ββββ

ββ

ββββ

ββ

ββ

ββ

ββββ

ββ

β

This is a slop with negative gradient – coasting gradient

Modelling of Automotive Systems 21

Vehicle Operating Modes When coasting on horizontal road and without disturbances

rvdfav gcmtvcAdt

tdvm −−= )(21)( 2ρ

( ) ( )

−= tvtv 21

2

1

1

2 0arctantan ββββ

ββ

3 operating modes can be identified from the vehicle speed curve Traction mode: gradient > coasting gradient Braking mode: gradient < coasting gradient Coasting mode: gradient = coasting gradient

Modelling of Automotive Systems 22

0 20 40 60 80 100 120 140 160-5

0

5

10

15

20

25

30Coasting velocity

t (s)

v (m

/s)

( )( )

( ) smttvor

ttvgc

cAm

smhkmvcmcAkgm

r

dfav

rdfv

/0060.09151.0tan37.21)(

0060.03600/1000000468.0arctantan37.21)(3569.0013.08.9

0167.02.05.32.1150021

21

/78.27/100,013.0,7.02.05.3,1500vehiclesize full aFor :Example

2

1

02

−=

−×=

=×==

=×××

==

====×==

β

ρβ

Modelling of Automotive Systems 23

0 20 40 60 80 100 120 140 160-20

0

20

40

60

80

100

120

v (k

m/h

)

t (s)

Coasting velocity

Modelling of Automotive Systems 24

Vehicle Operating Modes

Traction

0>tF

Braking

0<tF

Coasting

0=tF

L.Guzzella et al