Skip to main content
Log in

Development of a control method for an electromagnetic semi-active suspension reclaiming energy with varying charge voltage in steps

  • Published:
International Journal of Automotive Technology Aims and scope Submit manuscript

Abstract

A system of electromagnetic semi-active suspension reclaiming energy (ESASRE), with an novel control varying charge voltage in steps (CVCVIS) based optimal integrated controller, is newly proposed to improve ride comfort and energy reclaiming. The proposed CVCVIS is built by changing the number of battery packs. The dynamic model of the semiactive suspension reclaiming energy is established first, which fully accounts for the non-linear characteristics of the damping actuator reclaiming energy (DARE). The parameters of DARE are decided by a compromise between ride comfort and manufacturing cost, with consideration of installation convenience. A integrated control system for ESASRE includes a controller for calculating the real-time ideal control force based on optimal linear quadratic Gaussian (LQG) control and the other for calculating the number of charging batteries to obtain the real-time actual control force using the proposed quasilinear relation function. Performance comparisons are implemented using three suspension types: ESASRE, the passive suspension, and the ideal active suspension. The performance index of ESASRE is 19.8% lower than that of the passive suspension, and 3.82% higher than that of the active suspension. With ESASRE, the power flowing into the battery pack accounts for 77.72% of the total vibration energy absorbed by DARE.

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.

Institutional subscriptions

Similar content being viewed by others

Abbreviations

a2:

acceleration of sprung mass, m/s2

c b :

damping of passive suspension, N·s/m

c s :

structural friction damping of ESASRE, N·s/m

c vvd :

variable viscous damping, N·s/m

E :

eigenvector of system

e dz−1 :

dead zone voltage when ?v equals 1 m/s, V

e i (i=a, b, c):

ith phase back EMF of PMSM, V

F :

actual control force, N

F ida :

ideal active control force, N

F idsa :

ideal semi-active control force, N

F mn :

mean value of F, N

f0:

lower cut off frequency, Hz

f(θ i ) (i=a, b, c):

ith phase position function about the rotor angle displacement, rad

G q (n 0):

road irregularity coefficient, m2/m−1

i ab , i ca , i bc :

ab, ca and bc phases current respectively, A

i i (i=a, b, c):

ith phase current of PMSM, A

J :

suspension quadratic performance index

k 1 :

tire stiffness, N/m

k 2 :

suspension stiffness, N/m

k F−∆v :

the slope of the F relative to ∆v, N/(m/s)

L :

phase self inductance, H

M :

phase mutual inductance, H

m 1 :

unsprung mass, kg

m 2 :

sprung mass, kg

n 0 :

reference spatial frequency, m−1

P all :

all power absorbed by cs and DARE, kW

P b :

power flowing into battery pack, kW

P ls :

power consumed by three phase resistances and c s , kW

p p :

number of paralleled pole pairs of stator phases

p s :

lead of ball screw mechanism, m

q :

displacement input of suspension system, m

Q i :

ith diode in Figure 2

R :

phase resistance, Ω

S :

solution of Ricatti equation

S i :

ith controlled switch in Figure 2

T :

total time of vehicle running, s

T m :

electromagnetic torque of PMSM, N·m

t :

time variable, s

u :

vehicle speed, m/s

u 0 :

voltage of a single battery, V

u ba :

real-time charge voltage, V

u os :

offset voltage to ceil(·) function, V

v flr :

floor value of ∆v, m/s

w :

road white-noise signal

x 1 :

vertical displacement of unsprung mass, m

x 2 :

vertical displacement of sprung mass, m

Y :

feedback gain matrix of LQG controller

v :

relative speed of ESASRE, m/s

δ 1, δ;2 :

weight of (x 1q)2 and weight of (x 2x 1)2

θ :

angular displacement of PMSM, rad

Φ :

flux linkage of PMSM, Wb

η :

number of charge batteries

a, b, c :

three phases of PMSM

References

  • Aldair, A. A. and Wang, W. J. (2011). A neurofuzzy controller for full vehicle active suspension systems. J. Vibration and Control 18, 12, 1837–1854.

    Article  MathSciNet  Google Scholar 

  • Beno, J., Hoogterp, F. and Bresie, D. (1995). Electromechanical suspension for combat vehicles. SAE Paper No. 950775.

    Google Scholar 

  • Chen, S. A., Qiu, F., He, R. and Lu, S. L. (2008). A method determining the weights of suspension based on LQG control. J. Vibration and Shock 27, 2, 65–69.

    Google Scholar 

  • Chen, S. A., He, R., Liu, H. G. and Yao, M. (2012). Probe into necessity of active suspension based on LQG control. Physics Procedia, 25, 932–938.

    Article  MATH  Google Scholar 

  • Huang, K., Yu, F. and Zhang, Y. C. (2011). Active controller design for an electromagnetic energy-regenerative suspension. Int. J. Automotive Technology 12, 6, 877–885.

    Article  Google Scholar 

  • Huang, K., Zhang, Y. C. and Yu, F. (2012). Predictive controller design for electromagnetic suspension based on mixed logical dynamical model. J. Vibration and Control 18, 8, 1165–1176.

    Article  Google Scholar 

  • Karnopp, D. (1989). Permanent magnet linear motors used as variable mechanical dampers for vehicle suspensions. Vehicle System Dynamics 18, 4, 187–200.

    Article  Google Scholar 

  • Kim, N. H. and Ge, L. (2012). Dynamic modeling of electromagnetic suspension system. J. Vibration and Control 19, 5, 729–741.

    Article  Google Scholar 

  • Lan, B., Yu, F. and Liu, J. J. (2003), The design of LQG controller of active suspension. J. System Simulation 15, 1, 140–153.

    Google Scholar 

  • Lin, Z. Y. and Su, Z. G. (2008). Probability Theory. Zhejiang University Press. Hangzhou. China.

    Google Scholar 

  • Liu, W. and Ya, H. (2012). Cooperative optimization of ride comfort and handling stability by integrated control strategy. SAE Int. J. Commercial Vehicles 5, 1, 119–127.

    Article  Google Scholar 

  • Matlab 7.10.0 (2010). help/ SimPowerSystems/ Blocks/Machines/ Permanent Magnet Synchronous Machines

  • Nakano, K. and Suda, Y. (2004). Combined type selfpowered active vibration control of truck cabins. Vehicle System Dynamics 41, 6, 449–473.

    Article  Google Scholar 

  • Okada, Y. and Harada, H. (1995). Active and regenerative control of electro-dynamic vibration damper. Proc. Design Engineering Technical Conf., 595–560.

    Google Scholar 

  • Okada, Y., Harada, H. and Suzuki, K. (1996). Active and regenerative control of linear DC motor type damper. Proc. 3rd Int. Conf. Motion and Vibration Control, 321–326.

    Google Scholar 

  • Okada, Y., Harada, H. and Suzuki, K. (1997). Active and regenerative control of an electrodynamic-type suspension. JSME Int. J. 40, 2, 272–278.

    Article  Google Scholar 

  • Soliman, H. and Bajabaa, N. (2012). Robust guaranteedcost control with regional pole placement of active suspensions. J. Vibration and Control 19, 8, 1170–1186.

    Article  MathSciNet  Google Scholar 

  • Suda, Y. and Shiba, T. (1996). A new hybrid suspension system with active control and energy regeneration. Vehicle System Dynamics 25, S1, 641–654.

    Article  Google Scholar 

  • Suda, Y., Suematsu, K. and Nakano, K. (2004). Study on electromagnetic damper for automobiles with nonlinear damping force characteristics. Vehicle System Dynamics 41, S, 636–646.

    Google Scholar 

  • Zhang, L. J. and Zhang, T. X. (2005). Study on general model of random inputs of the vehicle with four wheels correlated in time domain. Trans. Chinese Society for Agricultural Machinery 36, 12, 29–31.

    Google Scholar 

  • Zhang, Y. C., Yu, F. and Huang, K. (2009). A state of the art review on regenerative vehicle active suspension. Proc. 3rd Int. Conf. Mechanical Engineering and Mechanics, 1689–1695.

    Google Scholar 

  • Zhang, Y. C., Cao, J. Y. and Yu, F. (2012). Design of active and energy-regenerative controllers for DC-motor-based suspension. Mechatronics 22, 8, 1124–1134.

    Article  Google Scholar 

  • Zhao, Y., Zhao, L. and Gao, H. (2010). Vibration control of seat suspension using H reliable control. J. Vibration and Control 16, 12, 1859–1879.

    Article  MATH  MathSciNet  Google Scholar 

  • Zuo, L. and Zhang, P. S. (2013). Energy harvesting, ride comfort, and road handling of regenerative vehicle suspensions. J. Vibration and Acoustics 135, 1, 1–8.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Y. B. Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, S.A., Li, X., Zhao, L.J. et al. Development of a control method for an electromagnetic semi-active suspension reclaiming energy with varying charge voltage in steps. Int.J Automot. Technol. 16, 765–773 (2015). https://doi.org/10.1007/s12239-015-0077-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12239-015-0077-3

Key Words

Navigation