EFFECTS OF DESIGN AND OPERATING PARAMETERS ON HANDLING BEHAVIOR OF A THREE-WHEEL VEHICLE

Document Type : Original Article

Authors

1 Automotive Engineering Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

2 Department of Design and Production Engineering, Faculty of Engineering, Ain Shams University, Cairo, Egypt.

Abstract

Active camber control system is very promising method for handling performance improvement specially for three wheels vehicles. This paper is the first part of a comprehensive study related to the development of a suspension control system applied to a tadpole vehicle utilizing active camber control system. The effect of the vehicle configuration is studied, as well as slip angle effect on vehicle dynamics. Matlab/Simulink ride/handling models including viscus damping and coulomb friction are established to study the effect of changing the camber angle and wheel steering inputs on different vehicle handling parameters. The results showed noteworthy improvement for yaw angle response, rollover, and lateral acceleration threshold. Notable stable and safer cornering performance proved to be achievable.

Keywords


EFFECTS OF DESIGN AND OPERATING PARAMETERS

ON HANDLING BEHAVIOR OF A THREE-WHEEL VEHICLE

 

Gharra F. A.1, Abdel-Aziz A. I.1 and Abu-El-Yazied T. G.2

 

1Automotive Engineering Department, Faculty of Engineering, Ain Shams University, Cairo, Egtypt.

2 Department of Design and Production Engineering, Faculty of Engineering, Ain Shams University, Cairo, Egtypt.

 

ABSTRACT

Active camber control system is very promising method for handling performance improvement specially for three wheels vehicles. This paper is the first part of a comprehensive study related to the development of a suspension control system applied to a tadpole vehicle utilizing active camber control system. The effect of the vehicle configuration is studied, as well as slip angle effect on vehicle dynamics. Matlab/Simulink ride/handling models including viscus damping and coulomb friction are established to study the effect of changing the camber angle and wheel steering inputs on different vehicle handling parameters. The results showed noteworthy improvement for yaw angle response, rollover, and lateral acceleration threshold. Notable stable and safer cornering performance proved to be achievable.

 

KEYWORDS

Automotive, Handling, Active suspension, Variable geometry, Camber control, Viscus damping, Coulomb friction, Three wheels vehicle, Rollover threshold, Lateral acceleration threshold.

 

INTRODUCTION

Traffic problems and expected rising of the fuel cost, drive the need to design light and small vehicles, which, is the current challenge to automotive industry as well as to the R&D engineers. In fact, the awareness for such challenge has been strongly growing up for some time. Further, global warming and the rising screams for lowering air pollution made the EU Environment Agency to set targets to reducing overall cars emissions in 2015 to 130 [g CO2/km], which have been achieved, and 95 [g CO2/km] by 2021. New targets were set for 2025 and 2030 as 15% ND 37.5% reductions, repetitively based on 2021 CO2 emission level [1].

 

Due to low fuel consumption of the three wheeled cars, they could be very effective and a magic solution to the growing problems. Three wheels vehicles satisfy these needs as being small, having low emissions, and low fuel consumption due to their light weight and low aerodynamic drag, but they have major stability drawback, particularly during cornering.

When the car is cornering at high speed, the resulting centrifugal force tends to alter the car stability causing side skid or even tipping it over in some cases.

 

To improve the cornering stability, many methods are being applied. Road cambering (Superelevation) is one of the important methods to take in consideration during designing roads [2,3]. It helps to incline the vehicle to counteract the centrifugal force effect. The speed limit, is another method, helps to prevent losing control on the vehicles while turning. Away from external assist and regulations to avoid problems and accidents, many efforts have been done to develop the passive suspension to achieve more safe vehicles with higher ride quality [4-10].

In cornering stability field, active camber control and body tilting mechanism are highly research and development topics due to their promising results [12-16]. Choosing between active camber control or body tilting highly depends on the vehicle usage. If the vehicle is designed for harsh manoeuvring at high speeds, body tilting mechanism control would be preferred. If the vehicle is designed for normal conditions and city drive, camber control would be preferred [17]. Depending on the suspension type, many camber angle control mechanisms were introduced. Nemeth, et all, discussed the camber control mechanism and the control design using McPherson suspension [18]. On the other hand, camber control mechanisms were introduced into double wishbone suspension system due to its simplicity [19-21].

 

1    VEHICLE MODEL

Bicycle model is often considered as the most simplified vehicle handling model and many theories and research works have been built using such model [11]. Drawbacks of the bicycle model are the negligence of the effects of vehicle suspension associated dynamics and nonlinearity of tires cornering stiffness. Quarter and half car model were often adopted on ride study [22]. Along with the automotive industry rapid development, more complicated 3D full car model simulations including suspension and tire dynamics were investigated [16,23,24]. However, examination of two configurations of 3D models of three-wheel vehicles are given in following.

 

 

 

Figure (1) A 3-wheel delta configuration vehicle 3D rollover model [25].

From Figure (1) the following relations are deduced [25].

 

To find the rollover speed, moments about line OF, ƩMOF = 0 gives:

where;

 

2.1 Vehicle Configuration Selection

From the aerodynamics point of view, tadpole body configuration can match the aerofoil shape easily than delta. For braking force distribution, more front capacity is available in case of tadpole than delta. Hence, tadpole configuration is preferred for braking. In tadpole with rear wheel drive, no differential is needed, and a lighter vehicle can be achieved.

To examine the dynamic stability during cornering manoeuvre, the rollover speed is calculated for both configurations and the results are discussed in the following.

 

2.1.1 Delta Configuration

Figure (1) shows a 3-wheel delta configuration vehicle 3D rollover model. The local vehicle axes, the dynamic forces, the wheel reactions, and the global axes as well as the dimension symbols are shown on the figure. Moreover, the definitions of each symbols are given in the nomenclature table.2.1.2 Tadpole Configuration

Figure (2) shows a 3-wheel tadpole configuration vehicle rollover model. The local vehicle axes, the dynamic forces, the wheel reactions, and the global axes are shown on the figures.

 

Figure (2) A 3-wheel tadpole configuration vehicle rollover model.

From Figure (2), the following relations are deduced.

 

To find the rollover speed, moments around line OF, ƩMOF = 0 gives:

where   


Figure (3) shows the variations of rollover speed and the turning radius of c.g. versus steering angle input for both delta and tadpole configuration models. It worth mentioning here that, the wheel track, the wheelbase, height of the c.g. and GVM values are the same for both models. It is obvious that tadpole Vroll has higher values than that of the delta configuration over the range of the steering angle input. The difference increases as the steering angle increases. Therefore, tadpole configuration is more stable in cornering manoeuvres (keeping in mind all hypotheses made for the two models).

Figure (3) Relationship between rollover speed, turning radius vs steering angles for tadpole and delta configurations.

 

2.2 Model Simplifications

Due to the lateral load transfer, specially at the verge of rollover, the vertical load on the inner front tire diminishes, henceforth its capability to create slip angle. Therefore, α3 is considered equal to zero.

2.2.1 Slip Angle Calculation

Based on the model shown in Figure (4), front and rear tire slip angle values are calculated at different steering angles for the tadpole configuration.

In triangle OAC.

 , and 

From which.

        (5)

In triangle OAD:

Hence; ,     

From equation (6) αr can be obtained.

In triangle ABO: and

Following similar approach αf = α1 can be obtained from equation (7).

,              (7)

As shown in Figure (5), αf and αr have small values specially at high cornering radiuses which are more realistic. Moreover, the difference between the two angles is very small and hence can be neglected. Noteworthy, the crossover point occurs at  which can be considered as optimum steering angle value.

 

Figure (4) A 3-wheel tadpole configuration vehicle model in xcg-ycg plane.

 

(a) R = 5 [m]

(b) R = 25 [m]

 

(c) R = 50 [m]

 

(d) R = 100 [m]

Figure (5) Front and rear wheels slip angles vs Steering angle.

2.2.2 Cornering force direction

From Figure (4), the cornering force inclination to vertical axis, ɵ can be obtained as follows.

                                                         (8)

The cornering force inclination angle was calculated at different steering angle for four road curvature radiuses as shown in Figure (6). The result shows that q has small value (less than 10o) for steering angle less than 10o and this result is not affected by the curvature radius value. Hence, its proved that the cornering force is almost perpendicular to vehicle x-axis at small steering angle values.

 

 

Figure (6) Lateral force direction with vertical axis vs steering angle at different radii.

 

2.3 Mathematical Model

Full car model was applied with the following simplifications as shown in Figure (7). Tire stiffness coefficient was assumed to be constant (linear tire model), slip angles were neglect, c.g and roll centre were assumed to be at fixed place (ignoring weight transfer), and based on the result on Figure (6), cornering force is assumed to be perpendicular to vehicle x-axis when applying small steering input. The following relations are deduced.

Lateral forces equation:

 , where               (9)

While Cγ is the cambering stiffness and assumed to equal 0.2 Cα, [11] and is the steering angle for the tire number (n). The steering is only applied on front wheels so =0 while the relation between front tires is given by;

                                                    (10)

Where;  ,                                 (11) 

Yaw equation:

                                            (12)

C.G

 

C.G

 

Figure (7) A 3-wheel tadpole vehicle dynamic model in xcg-ycg and zcg-ycg planes[16].

 

Roll equation:

For the roll mathematical model, 2 models are inspected: (a) linear model and (b) non-linear model with coulomb friction [26, 27] together with different values for the rebound and compression damping coefficients.

 

(a)   Linear roll equation:

                              (13)

Figure (8) shows spring and damper forces direction so the following equations can be deduced.

                                          (14)

Where;  ,and

 

Figure (8) Spring and Damper Forces direction.

The spring and damper moments can be deduced as follows.

                               (15)

                                (16)

Where; ,     

(b)   Non-linear roll equation. with Coulomb friction [26, 27]

     (17)

And by assuming that , then;

            (18)

Where;

  • Cc; Compression damping stiffness and Cr: rebound damping stiffness.
  • µ; Coulomb friction constant and is taken equal 1.
  • fsus; fraction from the sprung mass weight =0.1Ms×g.
  • Ksn; nonlinear stiffness coefficient.

 

Figure (9) Coulomb friction addition effect on roll angle.

 

Figure (9) shows that the roll angle reaches steady state value of 7.624o in case of applying linear roll equation, Equation (13), while in case of applying non-linear roll equation by adding the coulomb friction consideration, Equation (18), the steady state is reached at 7.424o which gives 2.6% error, then the coulomb friction effect can be neglected.

 

Lateral acceleration threshold

Two cases of camber angle control are studied, the first one is controlling all wheel angles, while the second one is considered as special case from the first one, where only front wheels are controlled. Figure (10) shows Changes upon applying camber angle to three wheels. As shown, the most important direction parameters for improving lateral acceleration are outer wheel leaning towards the turn and the rear wheel leaning outward the turn to maximise the parameter h". The inner wheel has zero load in case of tipping over, then its leaning direction has no impact. From figure (10) the following equations can be deduced.

 

  , and

        (19)

To calculate the lateral acceleration threshold due to the new suspension geometric change, the moment about rollover axis is applied.

 

From equations (19 & 20) Then;

        (21)

Where ϕ is the threshold yaw angle and from Equation (13), it can be given by;

 

Figure (10) Changes upon applying camber angle to three wheels [16].

 

Figure (11) Changes upon applying one positive and one negative camber angle to the front wheels [16].

Figure (11) shows case two where one positive and one negative camber angle when applied to the front wheels. As mentioned before the inner wheel angle sign is not important when studying rollover threshold. Hence, by setting the rear wheel camber angle, γ2 to zero at equation (21), The lateral acceleration threshold can be determined by equation (22).

                           (22)

 

3 CASE STUDY

Steering wheel input δ1 and camber angle with 2 seconds time lag between applying them are considered as main time variant inputs to the model as shown in Figure (12).

A constant 50 [m] turning radius is considered during the study. Moreover, another studying criteria is the C.G height effect. The results were plotted at 2 different H values, H = 0.5 [m] and H = 0.6 [m].

   

Figure (12) Steering input δ1 vs time (a) and camber angle γ1 vs time (b).

 

2    SIMULATION RESULTS

Tables (1 and 3) show how camber angle improves the vehicle lateral acceleration threshold for both studying cases, H = 0.5 [m] and H = 0.6 [m]. However, lateral acceleration has maximum limit depending on side skid threshold. Hence, lateral acceleration threshold must be equal or below the skid limit to be applicable. γ1 and γ3 are front wheels camber angle, and they are assumed to have equal values and direction to produce camber thrust to resist the centrifugal force, while γ2 is the rear wheel camber angle. The negative sign of camber angle values refers to that the rear wheel should lean outward the turning path to cause improvement as previously mentioned. The maximum speed is also calculated based on 50 [m] turning radius according to the following relation .

Tables (2 and 4) show the cases which fulfils a 50 [m] turning radius, noted that when only front wheels are cambered, they have a steering effect, while in case of all wheels cambered the steering effect vanishes. The yellow shaded cases are the chosen cases to be investigated.

 

Table (1) Lateral acceleration threshold for different camber angle values at H 0.5 [m].

γ1o

γ3o

γ2o

Lateral acceleration Threshold in g unit

Side Skid Threshold

Improvement Percentage

Vmax in [km/h] for R= 50 [m]

0

0

0

0.73

0.8 g

0

68.25

+5

+5

0

0.76

3.60

69.50

+10

+10

0

0.79

7.50

70.77

+15

+15

0

0.82

9.04

71.30

+20

+20

0

0.85

9.04

71.3

+5

+5

-5

0.78

7.40

70.73

+10

+10

-10

0.85

9.04

71.30

+15

+15

-15

0.91

9.04

71.30

+20

+20

-20

0.98

9.04

71.30

 

Table (2) Maximum speed for different study cases at H = 0.5 [m].

Case

V [km/h]

δ1 o

γ1o

γ3o

γ2o

1

68.3

2.03

0

0

0

2

69.5

1.05

+5

+5

0

3

70.8

0.06

+10

+10

0

4

71.3

0

+10.3

+10.3

0

5

70.7

2.03

+5

+5

-5

6

71.3

2.03

+10

+10

-10

7

71.3

2.03

+15

+15

-15

8

71.3

2.03

+20

+20

-20

 

Table (3) Lateral acceleration threshold for different camber angle values at H = 0.6 [m].

γ1o

γ3o

γ2o

Lateral acceleration Threshold in g unit

Side Skid Threshold

Improvement Percentage

Vmax [km/h]

R= 50 [m]

0

0

0

0.58

0.8g

0

60.6

+5

+5

0

0.60

3.7

61.7

+10

+10

0

0.62

7.4

62.8

+15

+15

0

0.64

11.3

63.9

+20

+20

0

0.67

15.3

65.1

+5

+5

-5

0.62

6.9

62.8

+10

+10

-10

0.66

14.9

64.9

+15

+15

-15

0.71

23.3

67.3

+20

+20

-20

0.77

32.4

69.8

 

Table (4); Maximum speed for different study cases at H = 0.6 [m].

Case

V [km/h]

δ1 o

γ1o

γ3o

γ2o

Case 1

60.6

2.03

0

0

0

Case 2

62.8

0

+10.3

+10.3

0

Case 3

69.8

2.03

+20

+20

-20

 

Figure (13) shows lateral acceleration threshold taking in consideration the skidding threshold. As seen in case of H = 0.5 [m], which is more stable vehicle, small camber angles can be applied, while for H = 0.6 [m] a 20o camber angle applied to all wheels can be applied to improve lateral acceleration threshold. Moreover, if the hydraulic actuator can afford higher camber angle, it can be applied to achieve higher lateral acceleration threshold.

 

   

Figure (13) Lateral acceleration threshold vs time at (a) H= 0.5 [m] and (b) H = 0.6 [m].

 

Figures (14-16) shows roll angle, lateral acceleration, and yaw rate vs time for all the studied cases. The camber angle control system shows overall handling performance improvement. In case of H = 0.5 [m], case 4 and case 8 gives the same steady state improvement as both reach the ultimate lateral acceleration threshold. While for transient roll angle and lateral acceleration responses, case 4 reaches the steady state without overshoot as in case of case 8.

For yaw rate response, no overshoot occurs at both cases but it worth mentioning that case 8 reached steady state 2 seconds faster than case 4. The camber angle control effect is more obvious in case of H = 0.6 [m] than H = 0.5 [m]. The performance is improved as the camber angle increases specially when all wheels are cambered.

 

   

Figure (14) Roll angle vs time at (a) H= 0.5 [m] and (b) H = 0.6 [m].

   

Figure (15) Lateral acceleration vs time at (a) H= 0.5 [m] and (b) H = 0.6 [m].

 

   

Figure (16) Yaw rate vs time at (a) H= 0.5 [m] and (b) H = 0.6 [m].

 

CONCLUSIONS

  • Tadpole configuration is more stable in cornering performance.
  • The difference between αf and αr is very small, hence can be neglected especially for low steering angle input.
  • The cornering force is almost perpendicular to vehicle x-axis at small steering angle values.
  • Only 2.6 % error in roll angle value was obtained when adding coulomb friction, then the effect of the coulomb friction can be neglected.
  • The inner wheel has no road reactions at the verge of rollover, then its leaning direction has no impact.
  • To improve lateral acceleration, outer wheels should be leaning towards the turn, while the rear wheel should be leaning outward the turn.
  • When only front wheels are cambered, they have a camber steering effect, while in case of all wheels cambered the steering effect diminishes.
  • The handling performance in terms of rollover speed is improved as the camber angle increases specially when camber control is applied to all wheels. Lateral acceleration threshold is increased as camber angle increases but the skidding threshold should be taken into consideration.

 

 

Nomenclature

Symbol

      Description

 

Symbol

       Description

a

Front axle distance to C.G

 

R

C.G turning radius

b

Rear axle distance to C.G

 

r

Yaw velocity (rate)

Cc

Compression damping stiffness

 

Rn

Wheel (n) turning radius

Cr

Rebound damping stiffness.

 

T

Vehicle track

Csp

Damping coefficient

 

Vroll

Rollover speed

Cαn

Wheel (n) cornering stiffness

 

Vx

Longitudinal velocity

Cγn

Wheel (n) cambering stiffness

 

V'x

Longitudinal acceleration

Fd

Damping force

 

Vy

Lateral Velocity

Fsp

Spring force

 

V'y

Lateral acceleration

fsus

fraction from the sprung

 

αf

Outer front tire slip angle

Fyn

Wheel (n) cornering force

 

αn

Wheel (n) slip angle

g

Gravitational acceleration

 

αr

Rear tire slip angle

h

C.G height from the roll centre

 

γn

Wheel (n) camber angle

H

Distance between C.G and ground

 

δn

Tire (n) steering angle

Ix

Moment of inertia about x- axis

 

ε

Angle between the cornering force and the perpendicular direction of the rollover axes

j

Perpendicular distance between C.G and the rollover axis

 

θ

Vertical inclination of the cornering force

Ksn

nonlinear stiffness coefficient.

 

θ'

Vertical inclination the perpendicular direction of the rollover axes

Ksp

Spring stiffness

 

λ

Horizontal inclination of the line between C.G and centre of rotation

L

Wheelbase

 

µ

Coulomb friction constant

m

Vehicle mass

 

φ

Vertical inclination of the rollover axes

ms

Vehicle sprung mass

 

φ

Roll angle

mus

Vehicle unsprung mass

 

φ̇

Roll angle velocity

p

Vertical C.G shift

 

φ̈

Roll angle acceleration

q

Horizontal C.G shift

 

𝜓

Horizontal inclination of the rollover axes

 

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1. Technical report, European Environment Agency, “Monitoring CO2 emissions from new passenger cars and vans in 2017”, No 15/2018.
2. Azad Abdulhafedh, “Design of Superelevation of Highway Curves: An Overview and Distribution Methods”, Journal of City and Development, Vol. 1, No. 1, 35-40, 2019.
3. A policy on “Geometric Design of Highways and Streets”, American Association of State Highway and Transportation Officials, Fifth edition, 2004.
4. R. S. Sharp and D. A. Crolla, “Road vehicle suspension system design- a review,” Vehicle System Dynamics, vol. 16, no. 3, pp. 167–192,1987.
5. X. D. Xue, K. W. E. Cheng, Z. Zhang, J. K. Lin, D. H. Wang, Y. J. Bao, M. K. Wong, and N. Cheung, “Study of Art of Automotive Active Suspensions”, 4th International Conference on Power Electronics Systems and Applications, 360-366, 2011.
6. D. Karnopp, “Theoretical limitations in active vehicle suspensions,” Vehicle System Dynamics, vol. 15, no. 1, pp. 41–54, 1986.
7. E. K. Bender, “Optimal linear preview control with application to vehicle suspension,” in: Trans. ASME J. Basic Eng., vol. 90, no. 2, pp. 213-221, 1968.
8. R. G. Langlois, R. J. Anderson, and D. M. Hanna, “Implementing preview control on an off-road vehicle with active suspension,” Proc. of 12th IAVSD Symposium on the Dynamics of Vehicles, 1992.
9. Mahmoud Ahmed and Ferdinand Svaricek, “Preview Control of Semi-active Suspension Based on a Half-car Model Using Fast Fourier Transform”, 10th International Multi-Conference on Systems, Signals & Devices (SSD) Hammamet, Tunisia, March 2013.
10. Ayman A. Aly, El-Shafei Zeidan, Ahmed Hamed, and Farhan Salem, “An Antilock-Braking Systems (ABS) Control: A Technical Review”, Journal of Scientific Research, pp. 186-195, 2011.
11. J. Y. Wong, “Theory of Ground Vehicle”, 3rd edition, 2001.
12. Balazs Nemeth and Peter Gaspar, “Set-based analysis of the variable-geometry suspension system”, Proceedings of the 19th World Congress, The International Federation of Automatic Control, Cape Town, South Africa, 2014.
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