Torsional vibration control for a pure electric vehicle powertrain system with network-induced time-varying delays

CHEN Changzheng WANG Yue WANG Gang YU Shenbo

Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (24) : 70-76.

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PDF(1142 KB)
Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (24) : 70-76.

Torsional vibration control for a pure electric vehicle powertrain system with network-induced time-varying delays

  • CHEN Changzheng  WANG Yue  WANG Gang  YU Shenbo
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Abstract

Integrated motor-transmission (IMT) powertrain systems are widely applied in pure electric vehicles due to their size reduction and efficiency improvement. Since they are essentially underdamped systems, significant torsional vibration and car-body acceleration surge are found during their acceleration, deceleration and regenerative brake processes. This oscillation problem has a significant impact on the driving performance of vehicles. Here, a oscillation attenuation control strategy based on the mixed H∞/GH2 algorithm was proposed to solve the torsional vibration problem of IMT powertrain systems. In the controller’s design, the effects of network time delays, motor torque pulsation and modeling errors were comprehensively considered. As the torsion angle was hard to measure, the static output-feedback controller was utilized. Being different from the traditional iterative linear matrix inequality (ILMI) method, the feasible solution was obtained by using the single-step LMI method, the design process was greatly simplified. Numerical results indicated that the new controller can effectively suppress the torsional vibration and car-body acceleration surge to ensure the acceleration performance of vehicles.

Key words

 electric vehicle / torsional vibration / H∞/GH2 control / network time delay / static output-feedback

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CHEN Changzheng WANG Yue WANG Gang YU Shenbo. Torsional vibration control for a pure electric vehicle powertrain system with network-induced time-varying delays[J]. Journal of Vibration and Shock, 2017, 36(24): 70-76

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