Torsional oscillation suppression-oriented torque compensate control for regenerative braking of electric powertrain based on mixed logic dynamic model. (1st May 2023)

• Record Type: Journal Article
• Authors: Wang, Feng; Wu, Tonglie; Ni, Yiqing; Ye, Peng; Cai, Yingfeng; Guo, Jingang; Wang, Chuhai
• Is Part Of: Mechanical systems and signal processing. Volume 190(2023)
• Publication Date: 2023-05-01
• Subjects: Electric powertrain -- Tooth backlash -- Torsional oscillation suppression -- Torque compensate control for regenerative braking -- Hybrid MPC; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2023.110114
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: Gear backlash and shaft flexibility-considered dynamic model of regenerative braking. Mixed-logical dynamical hybrid model of driving mode to regenerative braking mode. Torsional oscillation suppression-oriented torque compensate control strategy. Abstract: This paper presents a novel torsional oscillation suppression-oriented torque compensate control for regenerative braking (TS-RTC) of electric powertrain, which is based on the gear-pair backlash and half-shaft flexibility-considered dynamic model of regenerative braking in electric powertrain (REP). According to the characteristics of transition from driving mode to regenerative braking mode (DM-to-RM), the dynamic models under different stages are transmitted into an equivalent mixed-logical dynamical (MLD) hybrid model. MLD-based hybrid braking system model and hybrid model predictive control are adopted to design the TS-RTC strategy, in which the torsional oscillation suppression-oriented cost function proved efficient in improving the regenerative braking performance during DM-to-RM process. Simulations and REP hardware in the loop test show that the fluctuation of half shaft torque are efficiently suppressed and the vehicle drivability is improved.