The nonlinear behavior of automotive powertrains is mainly due to the presence of backlash between engaging components. In particular, during tip-in or tip-out maneuvers, backlash allows the generation of impacts that negatively affect the vehicle NVH performance. Due to the faster response of electric motors with respect to conventional internal combustion engines, this problem is even more critical for electric vehicles. In order to employ numerical optimal control methods for backlash compensation, the system states have to be known. In this paper, an electric powertrain is modeled as a two-mass oscillator with lumped backlash. This model estimates the system states when in no-contact mode while a Kalman filter that relies only on commonly available speed measurements is active in the contact phase. The powertrain model is validated using experimental data collected during vehicle testing and the online estimated half-shaft torque is shown. In addition, simulations are performed to illustrate that the system states can be properly determined with the proposed estimator.

Driveline Backlash and Half-shaft Torque Estimation for Electric Powertrains Control / Guercioni, Guido Ricardo; Galvagno, Enrico; Tota, Antonio; Vigliani, Alessandro; Zhao, Tong. - In: SAE TECHNICAL PAPER. - ISSN 0148-7191. - STAMPA. - (2018). ((Intervento presentato al convegno 2018 SAE World Congress Experience, WCX 2018 tenutosi a Cobo Center, usa nel April 2018 [10.4271/2018-01-1345].

Driveline Backlash and Half-shaft Torque Estimation for Electric Powertrains Control

Guercioni, Guido Ricardo;Galvagno, Enrico;Tota, Antonio;Vigliani, Alessandro;
2018

Abstract

The nonlinear behavior of automotive powertrains is mainly due to the presence of backlash between engaging components. In particular, during tip-in or tip-out maneuvers, backlash allows the generation of impacts that negatively affect the vehicle NVH performance. Due to the faster response of electric motors with respect to conventional internal combustion engines, this problem is even more critical for electric vehicles. In order to employ numerical optimal control methods for backlash compensation, the system states have to be known. In this paper, an electric powertrain is modeled as a two-mass oscillator with lumped backlash. This model estimates the system states when in no-contact mode while a Kalman filter that relies only on commonly available speed measurements is active in the contact phase. The powertrain model is validated using experimental data collected during vehicle testing and the online estimated half-shaft torque is shown. In addition, simulations are performed to illustrate that the system states can be properly determined with the proposed estimator.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2730190
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