Drive Line Control for Electrically Driven Vehicles Using Generalized Second Order Sliding Modes

Angeringer, Ulrich; Horn, Martin; Reichhartinger, Markus

doi:10.3182/20121023-3-fr-4025.00027

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…With help of variable structure theory, see e.g. [1], different state observer concepts were developed calculating the shaft torque although unknown external load forces, like road gradients acting on the vehicle [2], [3]. In general, the motor and load speeds and the motor currents are measured.…”

Section: Modeling and Control Conceptmentioning

confidence: 99%

“…Due to the low resolution, automotive wheel sensors cannot measure the speed accurately at low speed such that they are useless for state estimation. Therefore the controller and observer concept can focus on the measurement of the motor angular speed signal only [2]. In general the algorithms have to be implemented in the motor inverter where the control routines run in a high frequency task.…”

Section: Implementation Aspectsmentioning

confidence: 99%

See 1 more Smart Citation

Driving safety and comfort enhancements through efficient usage of e-powertrain functions

Schruth¹,

Lindvai-Soos²,

Angeringer³

et al. 2013

2013 World Electric Vehicle Symposium and Exhibition (EVS27)

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The paper shows how different possibilities of electrified propulsion can bring more benefit into the vehicle regarding driving comfort, driving safety and driving pleasure without additional components. Complex control functionalities of electric motors in the propulsion system and their effects on the vehicle behavior are explained. It is shown, how advanced control functions can influence steering behavior, movements in the vehicle structure and the response behavior of component operation in a positive way. The shown robust technology with the cross-linked functions is versatile with different potentials for diverse drivetrain configurations. The paper demonstrates how to let the physical propulsion system untouched and takes into account the interaction of all components of the entire vehicle. First tests, simulation and validation results are presented.This increases safety and comfort aspects but also more fun to drive and generate 'the electric smile' on the customers face.

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Section: Modeling and Control Conceptmentioning

confidence: 99%

Section: Implementation Aspectsmentioning

confidence: 99%

Driving safety and comfort enhancements through efficient usage of e-powertrain functions

Schruth¹,

Lindvai-Soos²,

Angeringer³

et al. 2013

2013 World Electric Vehicle Symposium and Exhibition (EVS27)

Self Cite

View full text Add to dashboard Cite

show abstract

“…Angeringer considered the wheel resistance moment as a disturbance and estimated it with a second-order sliding observer. 16 Based on this, a second-order sliding controller was used for anti-torsional vibration control. True used a continuously differentiable tanh function instead of a nonlinear dead time function to describe the backlash and then applied flatness-based forward control.…”

Section: Introductionmentioning

confidence: 99%

Multivariable model predictive control of a compound power-split hybrid electric vehicle during the tip-in/out process

Gao

Lou

Zhang³

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part K:

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For a compound power split hybrid system, such as the Corun hybrid system (CHS), a frequently encountered problem is determining how to compensate for the inertia torque of the transmission via the torque distribution of the two motors. The equivalent inertia of the transmission is variable and depends on the angular acceleration. According to the traditional control scheme, the target torque of the motors is distributed by simplifying the output angular acceleration to 0. This simplification introduces deviations in the torque distribution, and it is difficult to guarantee the quality of the two control quantities simultaneously. Recent research has also focused only on the control quality of one of the outputs. To solve this problem, a direct MIMO control scheme is proposed in this paper that directly calculates the target torques of the two motors based on control deviations. A multivariable model predictive controller (MPC) was designed for the control of transient processes. The simulation results showed that the proposed control method can improve the control accuracy of two objectives significantly, and it has an excellent ability to reject torque disturbances.

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“…Therefore, the feedback controllers based on ∆ and can be grouped together. For example, Angeringer et al [23] propose a sliding mode controller on ∆ ; Amann et al [1] and Bottiglione et al [4] present pole placement controllers on , and Lv et al [24] discuss a proportional integral derivative (PID) controller on . In [25] a mode-switching controller deals with backlash: when the gear teeth are in contact, the algorithm selects a category 4 controller, similar to the one in [24], while a sliding mode controller based on ∆̇ (category 3 controller) is adopted during backlash traversing.…”

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.

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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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Drive Line Control for Electrically Driven Vehicles Using Generalized Second Order Sliding Modes

Cited by 9 publications

References 9 publications

Driving safety and comfort enhancements through efficient usage of e-powertrain functions

Driving safety and comfort enhancements through efficient usage of e-powertrain functions

Multivariable model predictive control of a compound power-split hybrid electric vehicle during the tip-in/out process

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

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