Numerical Simulation to Improve Engine Control During Tip-In Manoeuvres

Millo, Federico; Ferraro, Carlo Vincenzo; Mallamo, Fabio; Pilo, L.

doi:10.4271/2003-01-0374

Cited by 11 publications

(3 citation statements)

References 6 publications

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“…The explicit formulation was chosen to reduce the computational requirements, as it only requires off-line optimizations [40]. A. Feedforward controller A feedforward controller is a simple anti-jerk solution, and is often adopted as term of comparison for more complex systems, e.g., in [5]. This study uses a second order low-pass filter ( in Fig.…”

Section: Assessed Anti-jerk Controllersmentioning

confidence: 99%

“…Hence, in this study the anti-jerk control implementations from the literature are divided into the following five categories:  Category 1 controllers, i.e., feedforward controllers in the form of filters on . For example, the implementations in [5] and [6] only consist of the feedforward contribution; however, it is also very common to combine the feedforward controller with a feedback contribution, e.g., to compensate external disturbances and model mismatches. In [7] and [8] the feedforward contribution is in the form of a low-pass filter that smoothens the motor torque demand.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of Anti-Jerk Controllers for Electric Vehicles With On-Board Motors

Scamarcio

Metzler

Gruber

et al. 2020

IEEE Trans. Veh. Technol.

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Anti-jerk controllers actively suppress the torsional oscillations of automotive drivetrains, caused by abrupt variations of the traction torque. The main benefits are: i) enhanced passengers' comfort; and ii) increased component life. Extensive literature deals with the design of anti-jerk controllers for electric powertrains with on-board motors, i.e., in which the electric motor is part of the sprung mass of the vehicle, and transmits torque to the wheels through a transmission, half-shafts and constant velocity joints. Nevertheless, a complete and structured comparison of the performance of the different control options is still missing. This study addresses the gap through the assessment of six anti-jerk controllersfive exemplary formulations from the literature, and one novel formulation based on explicit nonlinear model predictive control (eNMPC). All proposed control structures have the potential to be implemented on production vehicles. A set of objective performance indicators is defined to assess the controllers, which are tuned through an optimizationbased routine. Results show that the wheel speed input is critical to enhance controller performance, but may lead to reduced robustness.

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Section: Assessed Anti-jerk Controllersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of Anti-Jerk Controllers for Electric Vehicles With On-Board Motors

Scamarcio

Metzler

Gruber

et al. 2020

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…The earliest control strategy is open-loop and PID control. 3,4 With the development of advanced control algorithm, model-based control has been a hot topic in the area of vehicle low-frequency longitudinal vibration control. 5–8 Templin and Egardt 9 proposed to equate the torsional oscillation of the transmission system to the fluctuated half-shaft torque, and then, tried to eliminate the oscillation by regulating the derivative of the half-shaft torque to zero.…”

Section: Introductionmentioning

confidence: 99%

Model reference adaptive LQT control for anti-jerk utilizing tire-road interaction characteristics

Yue

Huang

Hao

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Sudden vehicle propulsion torque change under tip-in/out maneuver often leads to low-frequency longitudinal vibration due to the flexibility in the half-shaft and tire slip, which greatly affects vehicle drivability. Note that the vibration frequency is between 1 and 10 Hz and is difficult to be absorbed by the vehicle mechanical system. To optimize the vehicle drivability under tip-in maneuver, an Adaptive Linear Quadratic Tracking (ALQT) anti-jerk traction controller is proposed in this paper. Based on the experimental data, a Carsim-Simulink co-simulation model is developed for assessing control performance. A control-oriented model, considering the nonlinear characteristics of the tire-road friction coefficient and slip ratio, is then proposed. A reference model with rigid axle is used to provide the equilibrium points and reference velocity trajectory. Jacobi linearization method is then used to linearize the model along the desired trajectory and a linear deviation model based on equilibrium points is obtained. Finally, the deviation compensation receding horizon LQT controller is designed along with the Kalman state estimation. The effectiveness of the designed controller is assessed via simulation studies under different road surfaces and compared with PID and LQR controllers. The LQT controller is able to track the desired velocity profile with minimum jerk while increasing road safety. Furthermore, the effect of LQT weighting coefficients under different road surfaces are discussed. Simulation results show that the ALQT controller is able to optimize vehicle drivability under different road surfaces and the weighting matrices shall be selected based on the road condition for optimal drivability.

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