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One of the Larrousse-Lamborghini
cars in action at the Adelaide Grand
Prix. A sophisticated traction control
system was used to allow greater
acceleration and cornering speeds and
to improve the start-line performance.
Traction Control
Last month, we examined the traction
control systems now used in some road
vehicles. This time we look at how the
technology has been used in motor
racing.
During 1993, electronic aids were
permitted in the highest form of motor
sport: Formula 1. This meant that, together with electronically-controlled
gearboxes and active suspension,
electronic traction control was used.
In addition to preventing unwanted
wheel-spin during normal acceleration, the system was also used during
Grand Prix starts to give the best possible results. All electronic driver aids
were banned from the 1994 season
onwards and so the technology was
seen largely for just the one year.
PART 2: By JULIAN EDGAR
14 Silicon Chip
The system examined here was
fitted to the Lamborghini V12 engine
of the Larrousse-Lamborghini cars,
driven by Philippe Alliot and Erik
Comas. It was developed by Bosch
Motorsport in conjunction with Lam
borghini Engineering.
System requirements
The requirements of the traction
control system were to control slip
with precision; capable of subtle levels of control, yet able to be quickly
recalibrated. It also needed to be easy
to use, allowing driver interaction, yet
not being driver dependent.
Engine power was controlled in
such a way that drive wheel slip was
limited to a value which ensured
maximum straight-line acceleration
and cornering stability. Unlike normal
Fig.1: the appropriate goal value of wheel
slip was dependent on car speed and throttle
position, the gear being used and the lateral
(cornering) acceleration.
road-vehicle traction control systems, the system
did not use braking to control wheel-spin but relied
entirely on engine torque control. This was achieved
by progressive injector cut-off.
System details
A closed loop PID (proportional, integrating,
differentiating) controller was chosen to minimise
racetrack setup of the traction control algorithm. In
addition, fuzzy logic control elements from racing
ABS systems were added. This control approach
gave the following set up advantages which were
independent of tyre wear characteristics and independent of the slip-goal target value. Only a simple
‘wet/dry’ driver-selectable goal-offset switch was
required.
The digital control process was handled by one
of the existing engine management microcomputers
which, as well as using engine sensor information,
Fig.2: a PID controller was used to calculate the desired
was fed with speed data from each wheel.
percentage reduction in engine torque output to reduce
The procedure taken for the calculation of the
wheel slip to an optimal value.
rear wheel slip is shown in Fig.1. The basic goal
value was derived from a map using the functions
of car speed and throttle position, with an offset
provided by the cockpit wet/dry switch. The value
derived from a gear-dependent curve was added and this
in engine torque, compensated by the current gear ratio
is multiplied by a factor based on the lateral acceleromand the differential ratio.
eter input. The calculation of wheel slip was made by
Should the driver have sensed that slip was occurring
comparing the speed of each of the rear wheels with the
and had lifted his foot during traction-controlled slip,
reference speed of the car, which was derived from the
problems could have occurred. To counteract this, a drivfront (non-driven) wheels.
er-initiated torque reduction was also compensated for as
The deviation between the desired slip and the actual
a function of engine RPM and throttle position.
slip values was fed to the PID controller, as shown in Fig.2.
The calculated engine torque reduction was convertThe gain and time delay factors of each of the P, I and D
ed to a corresponding injector cut-off pattern by dyna
components were stored in maps as functions of the car
mometer-derived data held in a 24-point curve. The
speed/throttle position operating points. The output of
encoded steps of injector shut-off ranged from “half” a
the PID controller was the percentage reduction required
cylinder (one every other 720° cycle) to a full 12-cylinder
April 1996 15
10
5
40
30
20
OSITIO
N
70
60
50
THRO
TTLE P
CYLINDER
CUT-OFF
NUMBER
90
80
10
0
0
12000
10000
8000
6000
4000
0
2000
Fig.3: the maximum number of injectors which could be cut off was dependent
on throttle position and engine RPM. This provided safety against engine stalling
should the PID controller be programmed incorrectly or if part of the system failed.
cut-off. An absolute limit calibration
was incorporated, fixing the maximum
number of cylinders which could be
cut off at a given RPM and throttle
position.
This acted as a safeguard against
engine die-outs at low RPM and also
allowed rapid recalibration of the PID
controller without upsetting overall
vehicle dynamics. Fig.3 shows this
overall cut-off limiting calibration.
A completely separate algorithm
was used during the standing starts
which occur in this form of racing. It
used two distinct control strategies.
In part 1, the system allowed the
driver to maintain full throttle prior
to clutch engagement, with the ECU
holding the engine RPM at
the desired level. Once the
clutch was engaged by the
driver and the car exceeded
a certain speed, part 2 of the
system was enabled. This
modulated the continued full
throttle by means of injector
cut-off, allowing control of
wheel slip to the desired
level. Normal PID control
was activated once the car
had reached a second, higher
speed threshold.
Fig.4 shows the telemetry
record from a Grand Prix
start. Note that the throttle
is held fully open for the
majority of the time and the
rear wheel speed increase as
the clutch is engaged in part
1. In part 2, a constant slip
ratio is maintained, as indicated by the difference
in the front and rear wheel
speeds.
Testing & development
Calibrating the system to give the
optimal level of slip proved very difficult. This was firstly because only
limited traction control testing was undertaken, with the testing completed
only during normal chassis set-up procedures. Second, the preferences of the
THR
RPM
CUTOFF
PATTERN
PART ONE
REAR
SPEED
PART TWO
FRONT
SPEED
Fig.4: the Grand Prix ‘start’ strategy, as shown by the telemetry data from an
actual race. Note the small amount of wheel spin achieved, even though the
throttle is being held fully-open most of the time!
16 Silicon Chip
THR
GOAL
SLIP
ACTUAL
SLIP
REAR WHEEL
SPEED
CUTOFF
PATTERN
Fig.5: the telemetry record from a wet track, with the system programmed to be
very responsive to wheel slip.
two drivers using the system varied:
the amount of slip which suited one
driver did not always suit the other!
Extensive testing on a smooth, dry
track revealed that 4-6% slip gave the
best results but the engineers were
unsure whether this would apply to
all racing circuits. But while 4-6% longitudinal slip gave good acceleration,
this amount of slip during cornering
slowed the car.
Although a lateral accelerometer
input was available, it was found that
a driver would not exceed a certain
throttle threshold unless the car was
within his ‘comfort’ yaw zone and so
throttle position was able to be used
to predict when more or less system
intervention was required.
However, driver comment and track
side observation revealed that the optimal slip level wasn’t the test-derived
4-6%. In fact, the slip level which
gave the best results varied from 1215% at low speeds, to less than 2%
at very high speed. Rather than the
percentage slip being the relevant
factor, it was concluded that a slip
which corresponded to a difference in
wheel speed of 4-5km/h between the
front and rear wheels at 90km/h was
the critical value.
This relative difference in rotational
speed gave the car its characteristic
feel in yaw and was what the driver
was actually feeling and describing.
Once this was understood a spread
sheet program was created to allow
the new calibration of delta speed
to be converted into percentage slip,
FRONT
WHEEL
SPEED
allowing the continued use of the
existing software.
Results
Fig.5 shows the system, programm
ed to be very responsive to slip, in
action on a wet track. The car speed
is shown by the “front wheel speed”,
with the difference between front and
rear wheel speeds being the amount of
slippage, highlighted by the “actual
slip” line.
It can also be seen that when the
throttle is closed briefly, slip ceases
to occur and so momentarily drops
below the “goal slip”.
Acknowledgment: thanks to the
Society of Automotive En
g ineers
for permission to use material from
the “SAE Australasia” journals of
September/October and November/
SC
December 1995.
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April 1996 17
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