Electro-hydraulic composite stability control for regenerative braking failure of in-wheel motors drive electric vehicle

Abstract

The in-wheel motor simplifies the structure of drive system and improves dynamic performance of vehicle. However, the regenerative braking failure of unilateral motor could greatly reduce braking strength and cause the instability of vehicle. The existing control methods are difficult to guarantee the braking performance and driving stability at the same time. To resolve this fail-safe problem, an electro-hydraulic composite stability control method is proposed and verified. Firstly, the vehicle model, the in-wheel motor model, and the hydraulic braking system model are built. Secondly, the electro-hydraulic composite stability control method is proposed and a stability controller based on model predictive control algorithm is designed to solve the problems of model uncertainty and external interference in the control process. Thirdly, the control effect of proposed method is compared with torque truncation control, hydraulic compensation control, and yaw stability control. Finally, the electro-hydraulic composite stability control method proposed in this paper is verified and tested on the real vehicle. The results show that the combination of the torque truncation control, the hydraulic compensation control, and yaw stability control could improve the driving stability of vehicle and meet the demand of braking intensity.

Keywords

Electric vehicle in-wheel motor regenerative braking failure braking compensation electro-hydraulic combination stability control

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References

Anenberg

Miller

Henze

, et al. The global burden of transportation tailpipe emissions on air pollution-related mortality in 2010 and 2015. Environ Res Lett 2019; 14(9): 094012.

Lyu

Bao

Zhu

, et al. State-of-the-art outlook for light-duty vehicle emission control standards and technologies in China. Clean Technol Environ Policy 2020; 22(4): 757–771.

Hori

Future vehicle driven by electricity and control—research on four-wheel-motored “UOT Electric March II”. IEEE Trans Ind Electron 2004; 51(5): 954–962.

Sun

Zhang

, et al. Dual-mode regenerative braking control strategy of electric vehicle based on active disturbance rejection control. Proc IMechE, Part D: J Automobile Engineering 2021; 235(6): 1483–1496.

Zhang

Pang

Wang

, et al. Electromechanical composite brake control for two in-wheel motors drive electric vehicle with single motor failure. Proc IMechE, Part D: J Automobile Engineering 2020; 234(4): 1057–1074.

Djeziri

Merzouki

Bouamama

, et al. Fault diagnosis and fault-tolerant control of an electric vehicle overactuated. IEEE Trans Veh Technol 2013; 62(3): 986–994.

Wang

Actuator-redundancy-based fault diagnosis for four-wheel independently actuated electric vehicles. IEEE Trans Intell Transp Syst 2014; 15(1): 239–249.

Wang

Fujimoto

, et al. Robust yaw stability control for in-wheel motor electric vehicles. IEEE/ASME Trans Mechatron 2017; 22(3): 1360–1370.

Guoqing

Zhishuai

Chen

, et al. Observer-based lateral stability adaptive control method for distributed drive electric vehicles. Proc IMechE, Part D: J Automobile Engineering 2023; 237: 1277–1289.

10.

Zhang

Rollover prevention control for a four in-wheel motors drive electric vehicle on an uneven road. Sci China Technol Sci 2018; 61(6): 934–948.

11.

Miyazaki

Ohmae

Driving stability for electric vehicle with independently driven two wheels in case of inverter failure. In: 11th European conference on power electronics and applications, Dresden, Germany, 11–14 September 2005, pp.1–9. New York: IEEE.

12.

Peng

Wen

Braking force optimal distribution control strategy under single wheel failure of brake by wire. J Hunan Univ (Nat Sci Ed) 2018; 45(10): 44–53.

13.

Park

Jeon

Choi

, et al. Design of fail-safe controller for brake-by-wire systems using optimal braking force distribution. In: Proceedings of 2013 world electric vehicle symposium and exhibition (EVS27), Barcelona, Spain, 17–20 November 2013, pp.1–7. Piscataway: IEEE.

14.

Zhu

Wang

, et al. Research on energy regenerative braking of electric vehicle based on functional safety analysis. In: Asia-Pacific conference on intelligent robot systems (ACIRS), Wuhan, China, 16–18 June 2017, pp.326–330. New York: IEEE.

15.

Bagheri

Alipour

Yaw rate control and actuator fault detection and isolation for a four wheel independent drive electric vehicle. J Oper Autom Power Eng 2020; 5(1): 83–95.

16.

Zhang

Yuan

Peng

, et al. Hydraulic compensation control for regenerative braking failure of distributed drive electric vehicles. J Highway Transp 2020; 33(8): 31–41.

17.

Jia

Chen

, et al. A novel vehicle dynamics stability control algorithm based on the hierarchical strategy with constrain of nonlinear tyre forces. Veh Syst Dyn 2015; 53: 1093–1116.

18.

Zhang

Lin

, et al. Coaxial-coupling traction control for a four-wheel-independent-drive electric vehicle on a complex road. Proc IMechE, Part D: J Automobile Engineering 2014; 228(12): 1398–1414.

19.

Tahami

Kazemi

Farhanghi

A novel driver assist stability system for all-wheel-drive electric vehicles. IEEE Trans Veh Technol 2003; 52(3): 683–692.

20.

Dardanelli

Alli

Savaresi

SM.

Modeling and control of an electro-mechanical brake-by-wire actuator for a sport motorbike. IFAC Proc Volumes 2010; 43(18): 524–531.

21.

de Castro

Todeschini

Araújo

, et al. Adaptive-robust friction compensation in a hybrid brake-by-wire actuator. Proc IMechE, Part I: J Systems and Control Engineering 2014; 228(10): 769–786.

22.

Sun

Zhao

Huang

, et al. A new approach for vehicle lateral velocity and yaw rate control with uncertainty. Asian J Control 2018; 20(1): 216–227.

23.

Jia

Song

, et al. Research progress in vehicle dynamics stability control. Chin J Mech Eng 2013; 49(24): 95–107.

24.

Gao

Fault estimation and fault tolerant control for discrete-time dynamic systems. IEEE Trans Ind Electron 2017; 62(6): 3874–3884.

25.

Cao

Zhai

Sun

, et al. Straight running stability control based on optimal torque distribution for a four in-wheel motor drive electric vehicle. Energy Proc 2017; 105: 2825–2830.

26.

Wang

Cao

, et al. A stochastic model predictive control strategy for extended range electric vehicle. Energy Proc 2016; 88: 833–839.

27.

Zhang

Wang

Active steering actuator fault detection for an automatically-steered electric ground vehicle. IEEE Trans Veh Technol 2016; 66(5): 3685–3702.

28.

Zhang

Wang

Yuan

Distributed driving smart car with dual steering control for starting on a split ramp. Chin J Mech Eng 2019; 55(20): 205–213.

29.

Cheng

Chen

Fusion algorithm design based on adaptive SCKF and integral correction for side-slip angle observation. IEEE Trans Ind Electron 2018; 65(7): 5754–5763.