Black-Box Model-Based Active Damping of Driveline Oscillations

M. Corno, Stefano Dattilo, S. Savaresi
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引用次数: 1

Abstract

This paper presents a driveline active damping strategy for electric vehicles. We first propose a black-box identification of the main oscillation modes of a transmission of a 4 Wheel Driven electric vehicle. We identify the models in a variety of conditions. We then design the active damping control using ${\mathcal{H}_\infty }$ considerations on the identified models. Extensive experimental validation shows that the active damping reduces of 24% the longitudinal jerk during sharp acceleration maneuvers without negatively affecting the longitudinal acceleration. Furthermore, we test the controller under a variety of condition to assess its robustness with respect to transmission load variations, friction changes and velocity.
基于黑盒模型的传动系统振动主动阻尼
提出了一种电动汽车传动系统主动阻尼策略。我们首先提出了一种4轮驱动电动汽车变速器主要振动模式的黑盒识别方法。我们在各种条件下识别模型。然后,我们在识别的模型上使用${\mathcal{H}_\infty }$考虑因素设计主动阻尼控制。大量的实验验证表明,主动阻尼降低了24%% the longitudinal jerk during sharp acceleration maneuvers without negatively affecting the longitudinal acceleration. Furthermore, we test the controller under a variety of condition to assess its robustness with respect to transmission load variations, friction changes and velocity.
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