An active multiobjective real-time vibration control algorithm for parallel hybrid electric vehicle

Abstract

To improve the contradiction between vehicle dynamic performance and ride comfort by using the motor active output torque compensation method to reduce the torsional vibration of the hybrid electric vehicle (HEV) powertrain, an active multiobjective real-time vibration control (AMRVC) algorithm based on model prediction control (MPC) is proposed in this paper, and the current mainstream parallel HEV is taken as the research object to verify the proposed algorithm. Firstly, the torsional vibration model of the parallel HEV powertrain is established, simplified, and verified according to the experimental data, which provides the basis for the multimode adaptability and the application of the controller. Then, based on the state space equation of the torsional vibration system, the MPC controller considering the balance between ride comfort and power performance is designed, which can meet the multiobjective and real-time control effect of the hybrid power system while realizing the active vibration control. Finally, the effectiveness and real-time performance of the AMRVC algorithm are verified by multimode simulation analysis and hardware-in-the-loop (HIL) experiment. The simulation results show that the AMRVC algorithm based on MPC has good real-time application conditions, which can well coordinate the multiobjective requirements of vehicle ride comfort and dynamic performance, and remarkably improve the torsional vibration response of the powertrain by more than 55% in all HEV typical operating modes.

Keywords

Active vibration control multiobjective real-time control model predictive control hybrid electric vehicle hardware-in-the-loop experiment

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References

Cai

Dou

, et al. Torque distribution method based on vibration instability of PS-HEV transmission system. Proc IMechE, Part D: J Automobile Engineering 2020; 234(14): 3491–3503.

Guo

Wang

. Active control of hybrid electric vehicle launch vibration in pure electric mode. J Vib Control 2018; 24(4): 673–681.

Lin

Sun

Walker

, et al. Off-Line optimization based active control of torsional oscillation for electric vehicle drivetrain. Appl Sci 2017; 7(12): 1261.

Awadallah

Tawadros

Walker

, et al. Dynamic modelling and simulation of a manual transmission based mild hybrid vehicle. Mech Mach Theory 2017; 112: 218–239.

Zhang

Liu

Zhan

, et al. Modelling and active damping of engine torque ripple in a power-split hybrid electric vehicle. Control Eng Pract 2020; 104: 104643.

Dong

Liu

, et al. Analysis and evaluation of electromagnetic vibration and noise in permanent magnet synchronous motor with rotor step skewing. Sci China Technol Sci 2019; 62(5): 839–848.

Liu

Wang

, et al. Vibration control of improved LQG for wheel drive electric vehicle based on uncertain parameters. Proc IMechE, Part D: J Automobile Engineering 2021; 235(8): 2253–2264.

Zhong

Deng

Zhao

. Simulation model and method for active torsional vibration control of an HEV. Appl Sci 2018; 9(1): 34.

Wang

Cai

Chen

, et al. Research on compound coordinated control for a power-split hybrid electric vehicle based on compensation of Non-Ideal communication network. IEEE Trans Vehicular Technol 2020; 69(12): 14818–14833.

10.

Syed

Kuang

Ying

. Active damping wheel-torque control system to reduce driveline oscillations in a power-split hybrid electric vehicle. IEEE Trans Veh Technol 2009; 58(9): 4769–4785.

11.

Asano

Okada

Iwama

. Vibration suppression of induction-motor-driven hybrid vehicle using wheel torque observer. IEEE Trans. Ind. Appl., Mar./Apr. 1992; 28(2): 441–447.

12.

Ito

Tomura

Sasaki

. Development of vibration reduction motor control for hybrid vehicles. In: The 33rd annual conference of the IEEE industrial electronics society, Taipei, 2007, pp. 516–521.

13.

Kim

Park

, et al. Anti-jerk controller design with a cooperative control strategy in hybrid electric vehicle.In: Conference on power electronics, 2011, pp. 1964–1968. IEEE.

14.

Kou

Weslati

. Development of a hybrid powertrain active damping control system via sliding mode control scheme. SAE Technical Paper, 2013; 01: 0486.

15.

Morandin

Bolognani

Faggion

. Active torque damping for an ICE-based domestic CHP system with an SPM machine drive. IEEE Trans Ind Appl 2015; 51(4): 3137–3146.

16.

Jiang

Huang

Hao

, et al. Active damping of drive train oscillations for bas hybrid vehicle considering multi-operations. In: 35th Chinese control conference (CCC), Chengdu, China, 2016.

17.

Vadamalu

Beidl

. MPC for active torsional vibration reduction of hybrid electric powertrains. In: 8th IFAC symposium on advances in automotive control (AAC), Norrkoping, Sweden, 2016.

18.

Ogawa

Takahashi

. Echo State Network based model predictive control for active vibration control of hybrid electric vehicle powertrains. Appl Sci 2021; 11(14): 6621.

19.

Wang

Hou

, et al. A Moment-of-Inertia-Driven engine Start-Up method based on adaptive model predictive control for hybrid electric vehicles with drivability optimization. IEEE Access 2020; 8: 133063–133075.

20.

Chen

Peng

, et al. Adaptive torsional vibration active control for hybrid electric powertrains during start-up based on model prediction. Proc IMechE, Part D: J Automobile Engineering 2022; 236: 2219–2229.

21.

Guo

. Multi-objective optimization research on the start condition for a parallel hybrid electric vehicle. Appl Energy 2018; 227: 294–303.

22.

Dong

Guo

, et al. Coordinated clutch slip control for the engine start of vehicles with p2-hybrid automatic transmissions. Mech Mach Theory 2020; 153: 103899.

23.

Idehara

Flach

Lemes

. Modeling of nonlinear torsional vibration of the automotive powertrain. J Vib Control 2018; 24(9): 1774–1786.

24.

Jorge

Stephen

. Numerical optimization. Beijing: Science Press, 2006.