Multi-domain modelling and simulation of an automated manual transmission system based on Modelica

Huang, Hua; Nowoisky, Sebastian; Knoblich, René; Gühmann, Clemens

doi:10.1504/ijspm.2015.071377

Cited by 7 publications

(7 citation statements)

References 20 publications

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“…Modelica-based hydro-mechanical model is presented to optimize the shift quality. 7 The shifting behavior is validated with experimental data. The model presents a detail about AMT gear shift process, hydro-mechanical actuators, and clutch disk spring displacement–force characteristics.…”

Section: Introductionmentioning

confidence: 91%

Minimizing synchronization time of a gear shifting mechanism by optimizing its structural design parameters

Irfan

Berbyuk

Johansson

2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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A gear shifting mechanism is modeled in GT-Suite software. The mechanism has three main bodies: sleeve, ring, and gear. Results obtained from the simulation show that GT-Suite model can predict gear shifting process. Synchronization processes for three conditions of nominal, road grade, and vibrational motion of the master are studied in six cases by considering the sleeve and the gear as a master alternatively. The optimization based on the GT-Suite model is performed for each case to find the minimum gear shifting time based on variations of 17 structural design parameters. Minimum synchronization time is found almost same in all cases. It is concluded from closeness of the optimization results that average of the parameter values can be considered as optimized values for all cases. At the end, robustness of the optimized structural design parameters are analyzed with respect to the road grade, amplitude, and frequency of oscillatory excitation of rotational motion of the master.

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Section: Introductionmentioning

confidence: 91%

Minimizing synchronization time of a gear shifting mechanism by optimizing its structural design parameters

Irfan

Berbyuk

Johansson

2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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Section: Automatic Virtual Calibration Frameworkmentioning

confidence: 99%

“…Since shift effort, double bump, and stick-slip phenomenon are important effects to the shift quality, the process of the gear synchronization is defined by the detailed seven phases. 14,15 Phase 1 (Pre-synchronizing): The sleeve moves axially from the neutral position to the target gear, without noticeable mechanical resistance. This movement stops when the sleeve encounteres the synchronizer ring.…”

Section: Synchronizer Modelmentioning

confidence: 99%

Model-based gear-shift optimization for an automated manual transmission

Huang

Gühmann

2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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Gear shift quality is traditionally optimized in a vehicle on the road, through the evaluation of the driver’s perception. This classical human-feedback-based method faces different challenges, such as low reproducibility and high cost. In order to overcome these drawbacks, an innovative automatic virtual calibration framework is proposed in the Model-in-the-Loop environment. The devised framework is composed of a dynamic model of the transmission system, an adaptive gear shift controller, an objective assessment of the gear shift quality, and a multi-objective optimization algorithm. The Pareto-optimal front with multi-conflicting criteria, such as shift time and shift comfort, can be obtained within this framework. In particular, an improved hybrid multi-objective evolutionary algorithm is developed to enhance the optimization performance. The optimization of the shift trajectory for an automated manual transmission synchronization system is implemented as a case study. The obtained optimal shift trajectories are also validated on a transmission test bench.

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“…Since this paper main focus is put on clutch system, only the clutch modeling is introduced here, others can be found in [8,9]. Figure 2 depicts the push-type single-plate dry clutch used in the investigated AMT system.…”

Section: Modelica ® Based Modelingmentioning

confidence: 99%

Model-Based Optimization for an AMT Clutch Control during the Vehicle Starting

Huang

Chu

et al. 2015

SAE Int. J. Passeng. Cars – Electron. Electr. Syst.

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With the continuous growth in the emission requirements and higher riding comfort demand, the shift quality becomes more and more an important evaluation index of the automated transmission control algorithms. Traditionally, the shift quality is assessed subjectively by the driver's feeling and then adjusted based on the calibration engineer experience. This classical calibration has disadvantages, such as low reproducibility of the shifting event and a high dependence on the driver's driving habit, so here a model-based multi-objective optimization method is proposed, and the optimization of the clutch control parameters during the vehicle starting is used as an example.Firstly, a Modelica ® based vehicle model is introduced. A second-order sliding mode control is applied to track the clutch position trajectory. The clutch engagement point and the clutch engagement speed in the slipping stage are taken as the optimization objects. The shift quality, clutch engagement duration and mean longitudinal jerk during the vehicle starting, are taken as the evaluation criteria. An evolutionary multi-objective optimization method (non-dominated neighbor immune algorithm, NNIA) is chosen to find out the optimal control parameters. Finally the optimal clutch control parameters are determined based on a proposed mathematical function in different accelerator positions, and the testing results show that the optimized clutch control meets the driver's requirements in different conditions. "Model-Based Optimization for an AMT Clutch Control during the Vehicle Starting," SAE Int.

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Multi-domain modelling and simulation of an automated manual transmission system based on Modelica

Cited by 7 publications

References 20 publications

Minimizing synchronization time of a gear shifting mechanism by optimizing its structural design parameters

Minimizing synchronization time of a gear shifting mechanism by optimizing its structural design parameters

Model-based gear-shift optimization for an automated manual transmission

Model-Based Optimization for an AMT Clutch Control during the Vehicle Starting

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