Active damping of automotive powertrain oscillations by a partial torque compensator

Berriri, M.; Chevrel, Philippe; Lefebvre, D.

doi:10.1016/j.conengprac.2007.10.010

Cited by 67 publications

(22 citation statements)

References 10 publications

(9 reference statements)

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“…According to equation (24), if _ T hb (t) \ 0, i.e. if the hydraulic braking torque is decreased, the wheel deceleration will increase, which will make the speed difference become larger.…”

Section: Sliding-mode-based Control To Compensate For the Powertrain mentioning

confidence: 99%

“…21 The problems of powertrain backlash and flexibility, and the solutions for compensating for them, have been investigated for conventional ICE vehicles. [22][23][24] However, for an electric vehicle, this problem becomes more complicated. The response of an electric motor is much faster than that of an ICE, 15 and the motor's regenerative braking torque is usually far larger than that of an engine braking in a conventional car, which results in more severe oscillations.…”

Section: Introductionmentioning

confidence: 99%

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Mode-switching-based active control of a powertrain system with non-linear backlash and flexibility for an electric vehicle during regenerative deceleration

Zhang

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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Regenerative braking provided by an electric powertrain is very different from conventional friction braking with respect to the system dynamics. During regenerative decelerations, the powertrain backlash and flexibility excite driveline oscillations, causing the vehicle driveability and the blended brake performance to deteriorate. In this article, system models, including a powertrain model with non-linear backlash and flexibility, and a hydraulic brake system model, are developed. The effects of the powertrain backlash and the flexibility on the vehicle driveability during regenerative deceleration are analysed. To improve the driveability and the blended braking performance of an electric vehicle further, a mode-switching-based active control algorithm with a hierarchical architecture is developed providing compensation for the backlash and the flexibility. The proposed control algorithms are simulated and compared with the baseline strategy under the regeneration braking process. The simulation results show that the vehicle driveability and the blended braking performance can be significantly enhanced by the developed active control algorithm.

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“…According to equation (24), if _ T hb (t) \ 0, i.e. if the hydraulic braking torque is decreased, the wheel deceleration will increase, which will make the speed difference become larger.…”

Section: Sliding-mode-based Control To Compensate For the Powertrain mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mode-switching-based active control of a powertrain system with non-linear backlash and flexibility for an electric vehicle during regenerative deceleration

Zhang

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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show abstract

“…Recently, the need for increased driveability and passenger comfort lead to the development of numerous control strategies to damp driveline oscillations: robust pole placement [15], linear quadratic gaussian control design with loop transfer recovery (LQG/LTR) [1] and model predictive control (MPC) [2,14].…”

Section: Introductionmentioning

confidence: 99%

Modeling and predictive control for compensating network-induced time-varying delays

Caruntu

Lazăr

2011

Etfa2011

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The goal of this paper is to provide a control design methodology that can assure the closed-loop performances of a physical plant, while compensating the timevarying delays introduced by the communication network that links the controller with the remote process. Firstly, the error caused by the time-varying delays is modeled as a disturbance and a novel method of bounding the disturbances is proposed. Then, a robust one step ahead predictive controller based on flexible control Lyapunov functions is designed, which explicitly takes into account the bounds of the disturbances caused by time-varying delays and guarantees also the input-to-state stability of the system in a non-conservative way. Moreover, it is shown that by choosing an appropriately Lyapunov function, the MPC algorithm amounts solving a single, lowcomplexity linear program each sampling instant. The modeling method and the control strategy were tested on a vehicle drivetrain controlled through CAN, with the aim of damping driveline oscillations, which is crucial in improving driveability and passenger comfort. Several TrueTime simulations based on realistic scenarios show that the proposed control scheme can handle both the performance/physical constraints and the strict limitations on the computational complexity.

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“…[4]. An approach that emphasizes easy tuning and a simple model is presented in [5]. Classical frequency domain loop shaping techniques is used in [6] to derive an engine torque modulating feedback.…”

Section: Introductionmentioning

confidence: 99%

An LQR torque compensator for driveline oscillation damping

Templin

Egardt

2009

2009 IEEE International Conference on Control Applications

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This paper derives an LQR anti-jerk controller for an automotive driveline. The time derivative of the drive shaft torque, which is closely related to the vehicle jerk, is used as a virtual system output and regulated to zero. Thereby the controller does not need a reference model for generation of reference trajectories for the control law evaluation. The controller acts as a torque compensator for the driver's torque demand which the controller output asymptotically follows. The properties of the controller are discussed and the behavior is illustrated by simulation examples.

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Active damping of automotive powertrain oscillations by a partial torque compensator

Cited by 67 publications

References 10 publications

Mode-switching-based active control of a powertrain system with non-linear backlash and flexibility for an electric vehicle during regenerative deceleration

Mode-switching-based active control of a powertrain system with non-linear backlash and flexibility for an electric vehicle during regenerative deceleration

Modeling and predictive control for compensating network-induced time-varying delays

An LQR torque compensator for driveline oscillation damping

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