Skip to main content

Advertisement

Log in

Feasibility and performance analyses for an active geometry control suspension system for over-actuated vehicles

  • Technical Paper
  • Published:
Journal of the Brazilian Society of Mechanical Sciences and Engineering Aims and scope Submit manuscript

Abstract

To build an over-actuated vehicle, the chosen equipment is composed of an active four-wheel drive and steering systems, a torque vectoring system, and an active braking system. In general, the goal of the over-actuated vehicle is to improve stability and handling performance for both conventional and autonomous vehicles. This paper presents an active geometry control suspension system (AGVS), based on a 3-DOF parallel mechanism, which is capable of acting simultaneously on the camber, the rear-wheel steering and the body roll angles. The aim of this study is to analyse the performance and feasibility of this active suspension mechanism when assembled in a C-class vehicle. These analyses were developed through a co-simulation scheme implemented in CarSim and Simulink software for three different manoeuvres: steady-state cornering, fishhook and double lane change. The performance analysis provides a comparison of the same C-class vehicle equipped with different systems, from the original to the fully actuated one. The conducted simulations reveal how superior a multi-purpose control system is when compared to the other single-actuated systems, and how it can manage the necessary trade-off among the selected metrics, namely, the roll gradient, the understeer gradient, the yaw rate, the body roll angle, and the lateral acceleration. In the feasibility analysis of AVGS the demanded actuator power and force in typical manoeuvres was assessed. In addition, the required ranges for the camber and rear-wheel steering actuations, as well as for the mechanism joints, were determined. The vehicle equipped with AGVS demonstrates improvements of dynamic behaviour in both steady-state and transient manoeuvres.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Notes

  1. Usually, the upper and lower arms have different lengths in vehicle suspensions. The main reason is to reduce camber angle changes due to body roll angle during manoeuvres, which may decrease lateral force in the tire/road interaction when the car performs a cornering. In the current paper, the actuated parallel mechanism is responsible not only for providing adequate camber angle but also roll and steer wheel angles.

  2. Usually, studies on control of camber and rear-wheel steering do not focus on energy consumption by the actuation system.

Abbreviations

a y :

Vehicle lateral acceleration (m/s2)

a Gy :

Wheel centre lateral acceleration (m/s2)

F b i :

Force applied by the bars i on the end-effector (i = 2, 3)

F i :

Force applied by the actuator i on the bar i (i = 1, 2, 3)

F p :

Force at tire-pavement contact (N)

F S :

Force applied by the spring-damper set (N)

g :

Acceleration of gravity (g = 9.81 m/s2)

i steer :

Steering ratio = 17.33:1 (adm)

K :

Understeer gradient (°/g)

K γ :

Camber gain (s2rad/m)

K δ :

Steering wheel gain (adm)

K v :

Yaw rate factor (s)

K roll :

Auxiliary roll moment gain (Ns2)

M R :

Auxiliary roll moment at rear axle (Nm)

M p :

Moment at tire-pavement contact (Nm)

m :

Mass of the wheel-tire set (kg)

R ϕ :

Roll gradient (deg/g)

r :

Vehicle yaw rate (rad/s)

s i :

Actuator displacement (mm) (i = 1, 2, 3)

v :

Vehicle longitudinal velocity (m/s)

γ :

Camber angle (rad)

ε :

Rear-wheel steering angle (rad)

δ w :

Steering wheel angle (rad)

ϕ :

Body roll angle (rad)

References

  1. World Health Organization (2021) Road traffic injuries. https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries. Accessed 30 Dec 2021

  2. Das HS, Rahman MM, Li S, Tan CW (2020) Electric vehicles standards, charging infrastructure, and impact on grid integration: a technological review. Renew Sust Energ Rev 120:109618. https://doi.org/10.1016/j.rser.2019.109618

    Article  Google Scholar 

  3. Fagnanta DJ, Kockelman K (2015) Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations. Transp Res A 77:167–181. https://doi.org/10.1016/j.tra.2015.04.003

    Article  Google Scholar 

  4. Høye A (2011) The effects of electronic stability control (ESC) on crashes—an update. Accid Anal Prev 43(3):1148–1159. https://doi.org/10.1016/j.aap.2010.12.025

    Article  Google Scholar 

  5. Strandroth J, Rizzi M, Olai M, Lie A, Tingvall C (2012) The effects of studded tires on fatal crashes with passenger cars and the benefits of electronic stability control (ESC) in Swedish winter driving. Accid Anal Prev 45:50–60. https://doi.org/10.1016/j.aap.2011.11.005

    Article  Google Scholar 

  6. Vadeby A, Wiklund M, Forward S (2011) Car drivers’ perceptions of electronic stability control (ESC) systems. Accid Anal Prev 43:706–713. https://doi.org/10.1016/j.aap.2010.10.015

    Article  Google Scholar 

  7. Zhang W, Drugge L, Nybacka M, Wang Z (2020) Active camber for enhancing path following and yaw stability of over-actuated autonomous electric vehicles. Veh Syst Dyn. https://doi.org/10.1080/00423114.2020.1723653

    Article  Google Scholar 

  8. Ataei M, Tang C, Khajepour A, Jeon S (2019) Active camber system for lateral stability improvement of urban vehicles. Proc Inst Mech Eng D J Automob Eng 233(14):3824–3838. https://doi.org/10.1177/0954407019832436

    Article  Google Scholar 

  9. Xiao-Pei L, Konghui G, Dang L, Yin-Lin W (2006) Effect of tire camber on vehicle dynamic simulation for extreme cornering. Veh Syst Dyn 44(sup1):39–49. https://doi.org/10.1080/00423110600867309

    Article  Google Scholar 

  10. Chatzikomis CI, Spentzas KN (2014) Comparison of a vehicle equipped with electronic stability control (ESC) to a vehicle with four wheel steering (4WS). Forsch Ingenieurwes/Eng Res 78:13–25. https://doi.org/10.1007/s10010-014-0172-z

    Article  Google Scholar 

  11. Ataei M, Khajepour A, Jeon S (2018) A novel reconfigurable integrated vehicle stability control with omni actuation systems. IEEE Trans Veh Technol 67(4):29452957. https://doi.org/10.1109/TVT.2017.2782569

    Article  Google Scholar 

  12. Shi K, Yuan X, Huang G, Liu Z (2019) Weighted multiple model control system for the stable steering performance of distributed drive electric vehicle. J Braz Soc Mech Sci Eng 41:201. https://doi.org/10.1007/s40430-019-1696-9

    Article  Google Scholar 

  13. Song J (2018) Integrated vehicle dynamic controls using active rear wheel steering and four-wheel braking. Int J Veh Syst Model Test 13(1):26–43. https://doi.org/10.1504/IJVSMT.2018.094585

    Article  Google Scholar 

  14. Zhao L, He Y (2019) An investigation of active safety control strategies for improving the lateral stability of car-trailer systems. Int J Veh Syst Model Test 13(4):295–318. https://doi.org/10.1504/IJVSMT.2019.104874

    Article  Google Scholar 

  15. Yim S (2020) Comparison among active front, front independent, 4-wheel and 4-wheel independent steering systems for vehicle stability control. Electronics 9:798

    Article  Google Scholar 

  16. Bakar SAA, Masuda R, Hashimoto H, Inaba T, Jamaluddin H, Rahman RA, Samin PH (2012) Active suspension system in improving ride and handling performance of electric vehicle conversion. Int J Electr Hybrid Veh 4(1):24–53. https://doi.org/10.1504/IJEHV.2012.047877

    Article  Google Scholar 

  17. Ataei M, Khajepour A, Jeon S (2018) Reconfigurable integrated stability control for four- and three-wheeled urban vehicles with flexible combinations of actuation systems. IEEE/ASME Trans Mechatron 23(5):2031–2041. https://doi.org/10.1109/TMECH.2018.2862924

    Article  Google Scholar 

  18. Liu L, Shi K, Yuan X et al (2019) Multiple model-based fault-tolerant control system for distributed drive electric vehicle. J Braz Soc Mech Sci Eng 41:531. https://doi.org/10.1007/s40430-019-2047-6

    Article  Google Scholar 

  19. Arana C, Evangelou SA, Dini D (2017) Series active variable geometry suspension application to comfort enhancement. Control Eng Pract 59:111–126. https://doi.org/10.1016/j.conengprac.2016.11.011

    Article  Google Scholar 

  20. Li H, Zhao Y, Lin F et al (2018) Nonlinear dynamics modeling and rollover control of an off-road vehicle with mechanical elastic wheel. J Braz Soc Mech Sci Eng 40:51. https://doi.org/10.1007/s40430-018-1009-8

    Article  Google Scholar 

  21. Arana C, Evangelou SA, Dini D (2015) Series active variable geometry suspension for road vehicles. IEEE/ASME Trans Mechatron 20(1):361–372. https://doi.org/10.1109/TMECH.2014.2324013

    Article  Google Scholar 

  22. Ammon D (2005) Vehicle dynamics analysis tasks and related tyre simulation challenges. Veh Syst Dyn 43(1):30–47. https://doi.org/10.1080/00423110500141003

    Article  Google Scholar 

  23. Ahangarnejad AH, Melzi S, Ahmadian M (2018) Numerical comparison of two methods for integration of active rear steering, torque vectoring and hydraulically interconnected suspension. Int J Veh Syst Model Test 13(2):125–148. https://doi.org/10.1504/IJVSMT.2018.098338

    Article  Google Scholar 

  24. Chen BC, Kuo CC (2014) Eletronic stability control for electric vehicle with four in-wheel motors. Int J Automot Technol 15:573–580. https://doi.org/10.1007/s12239-014-0060-4

    Article  Google Scholar 

  25. Wang J, Luo Z, Wang Y, Yang B, Assadian F (2018) Coordination control of differential drive assist steering and vehicle stability control for four-wheel-independent-drive EV. IEEE Trans Veh Technol 67(12):11453–11467. https://doi.org/10.1109/TVT.2018.2872857

    Article  Google Scholar 

  26. Jaafari SMM, Shirazi KH (2018) Integrated vehicle dynamics control via torque vectoring differential and electronic stability control to improve vehicle handling and stability performance. ASME J Dyn Sys Meas Control 140(7):071003. https://doi.org/10.1115/1.4038657

    Article  Google Scholar 

  27. Ivanov V (2017) Advanced automotive active safety systems: focus on integrated chassis control for conventional and electric vehicles with identification of road conditions. PhD thesis, TU Ilmenau

  28. Cho W, Yoon J, Yim S, Koo B, Yi K (2010) Estimation of tire forces for application to vehicle stability control. IEEE Trans Veh Technol 59(2):638–649. https://doi.org/10.1109/TVT.2009.2034268

    Article  Google Scholar 

  29. Pi DW, Chen N, Wang JX, Zhang BJ (2011) Design and evaluation of sideslip angle observer for vehicle stability control. Int J Automot Technol 12(3):391–399. https://doi.org/10.1007/s12239-011-0046-4

    Article  Google Scholar 

  30. Fu Z-J, Li B (2017) Adaptive optimal control for integrated active front steering and direct yaw moment based on approximate dynamic programming. Int J Veh Syst Model Test 12(1/2):17–43. https://doi.org/10.1504/IJVSMT.2017.087950

    Article  Google Scholar 

  31. Rajamani R, Piyabongkarn DN (2013) New paradigms for the integration of yaw stability and rollover prevention functions in vehicle stability control. IEEE Trans Intell Transp Syst 14(1):249–261. https://doi.org/10.1109/TITS.2012.2215856

    Article  Google Scholar 

  32. Nahidi A, Kasaiezadeh A, Khosravani S, Khajepour A, Chen S-K, Litkouhi B (2017) Modular integrated longitudinal and lateral vehicle stability control for electric vehicles. Mechatron 44:60–70. https://doi.org/10.1016/j.mechatronics.2017.04.001

    Article  Google Scholar 

  33. Yim SJ (2015) Unified chassis control with electronic stability control and active front steering for under-steer prevention. Int J Automot Technol 16:775–782. https://doi.org/10.1007/s12239-015-0078-2

    Article  Google Scholar 

  34. Formentin S, Garatti S, Rallo G, Savaresi SM (2018) Robust direct data-driven controller tuning with an application to vehicle stability control. Int J Robust Nonlinear Control 28:3752–3765. https://doi.org/10.1002/rnc.3782

    Article  MathSciNet  MATH  Google Scholar 

  35. Pacejka HB, Sharp RS (1991) Shear force development by pneumatic tyres in steady state conditions: a review of modelling aspects. Veh Syst Dyn 20(3–4):121–175. https://doi.org/10.1080/00423119108968983

    Article  Google Scholar 

  36. Malvezzi F, Coelho TAH (2013) A novel 3-DOF parallel mechanism employed in a vehicle suspension for the improvement of handling performance. In: ECCOMAS multibody dynamics 2013, Thematic conference, Zagreb

  37. Malvezzi F, Coelho TAH (2014) Topological Synthesis of a Novel Parallel Mechanism for Vehicle Rear Suspensions. In: Petuya V, Pinto C, Lovasz EC (eds) New advances in mechanisms, transmissions and applications. Mechanisms and machine science, vol 17. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7485-85

    Chapter  Google Scholar 

  38. Malvezzi F, Coelho TAH (2015) Modelling, feasibility and performance analyses of a 3-DOF parallel mechanism employed in a rear vehicle suspension. Int J Veh Syst Model Test 10(1):5373. https://doi.org/10.1504/IJVSMT.2015.067521

    Article  Google Scholar 

  39. Malvezzi F, Coelho TAH (2015) Singularity and workspace analyses of a 3-DOF parallel mechanism for vehicle suspensions. In: Corves B, Lovasz EC, Hüsing M (eds) Mechanisms, transmissions and applications. Mechanisms and machine science, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-319-17067-132

    Chapter  Google Scholar 

  40. Malvezzi F, Coelho TAH (2018) Error analysis for an active geometry control suspension system. J Braz Soc Mech Sci Eng 40:558. https://doi.org/10.1007/s40430−018−1472−2

    Article  Google Scholar 

  41. Huang Z, Li Q, Ding H (2013) Theory of parallel mechanisms. Springer, London. https://doi.org/10.1007/978-94-007-4201-7

    Book  Google Scholar 

  42. Lu Y, Ye N (2017) Type synthesis of parallel mechanisms by utilizing sub-mechanisms and digital topological graphs. Mech Mach Theory 109:39–50. https://doi.org/10.1016/j.mechmachtheory.2016.11.008

    Article  Google Scholar 

  43. SAE (1996) Vehicle Dynamics Standards Committee, steady-state directional control test procedures for passenger cars and light trucks, SAE Standard J266. Society of Automotive Engineers, Warrendale

    Google Scholar 

  44. NHTSA (1999) An experimental examination of selected manoeuvres that may induce on-road untripped, light vehicle rollover—phase II of NHTSA’s 1997–1998 vehicle rollover research program. Washington

  45. ISO (1999) International Standard 3888-1: passenger cars—test track for a severe lane-change manoeuvre. Part 1: double lane change. International Organization for Standardization, Vernier

  46. THK (2021) Information about spherical joints. https://www.thk.com/?q=uk/node/4551 and https://www.thk.com/?q=uk/node/4552. Accessed 30 Dec 2021

Download references

Acknowledgements

The authors acknowledge grant #2018/12087-7, São Paulo Research Foundation (FAPESP).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fernando Malvezzi.

Additional information

Technical Editor: Wallace Moreira Bessa.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

  • Mechanism parameters

The mechanism parameters employed in the simulations are listed in Table 9, which are shown in Fig. 4.

Table 9 Mechanism parameters (i = 1,2,3)
  • Inverse kinematic model

Three reference systems were applied to develop the kinematic model for the suspension mechanism: the fixed frame \({\text{Ox}}_{0}{{\text{y}}}_{0}{{\text{z}}}_{0}\) (Fig. 14a, b), the first moving frame \({\text{Ox}}_{1}{{\text{y}}}_{1}{{\text{z}}}_{1}\) (Figs. 14a–c and 15a, b), which is attached to the car body, and the second moving frame \({{\text{A}}_{1}{\text{x}}}_{2}{{\text{y}}}_{2}{{\text{z}}}_{2}\) (Fig. 15a, b), which is attached to the end-effector. The actuators 1 and 2, and the bars 1 and 2 are in the Oy0z0 plane.

The goal of the inverse kinematic model is to obtain a mathematical transformation between the end-effector location, defined by the vector \(\chi = [\Theta\ \Gamma\ \Psi ]^{{\text{T}}}\) (Fig. 15a, b), and the displacements provided by the actuators, defined by the vector \({\text{s}} \, \text{=} \, {\text{[}{\text{s}}_{1 }\ {\text{s}}_{2} \ {\text{s}}_{3}\text{]}}^{\text{T}}\) (Fig. 15a, b). Both vectors are defined in the moving frame \({\text{Ox}}_{1}{{\text{y}}}_{1}{{\text{z}}}_{1}\).

The relationship between the reference frames was obtained by applying homogeneous transformation matrix, as detailed in [40].

Fig. 14
figure 14

Frames employed in the kinematic model: a the fixed frame and body roll angle ϕ; b the fixed frame (\({\text{Ox}}_{0}{{\text{y}}}_{0}{{\text{z}}}_{0}\)), the moving frames (\({\text{Ox}}_{1}{{\text{y}}}_{1}{{\text{z}}}_{1}\) and \({{\text{A}}_{1}{\text{x}}}_{2}{{\text{y}}}_{2}{{\text{z}}}_{2}\)) and the body roll angle ϕ; c mechanism parameters nomenclature employed in the kinematic model [40]

Fig. 15
figure 15

Nomenclature for kinematic model and location of the Ai, Bi, Ci (i = 1, 2, 3) points: a front view; b top view [40]

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Malvezzi, F., Hess Coelho, T.A. & Orsino, R.M.M. Feasibility and performance analyses for an active geometry control suspension system for over-actuated vehicles. J Braz. Soc. Mech. Sci. Eng. 44, 178 (2022). https://doi.org/10.1007/s40430-022-03448-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40430-022-03448-4

Keywords

Navigation