Estimation of Synchromesh Frictional Torque and Output Torque in a Clutchless Automated Manual Transmission of a Parallel Hybrid Electric Vehicle

Mousavi, Mir Saman Rahimi; Alizadeh, Hossein Vahid; Boulet, Benoît

doi:10.1109/tvt.2016.2619915

Cited by 25 publications

(9 citation statements)

References 22 publications

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“…21 A deterministic Luenberger observer and a Kalman-Bucy filter (KBF) were applied to estimate the uncertain synchronisation frictional torque during the gear engagement process. 22 The estimated synchromesh torque was used in a closed-loop PID controller to track desired trajectories. A dual-loop self-learning fuzzy control method 23 was presented to improve the shift performance.…”

Section: Introductionmentioning

confidence: 99%

Synchroniser control with proportional pressure reducing valves and displacement feedback

Luo

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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In order to improve the shift quality of automatic transmission with synchroniser, a synchroniser electrohydraulic control system equipped with the proportional pressure reducing valves is proposed. The principle of the control system is introduced in detail. The PID controller is used to realise closed-loop control of shift displacement to achieve the synchronisation. A numerical model and a test apparatus have built up to validated the control performance. The simulated and measured engagement and disengagement of the synchroniser with the proposed control system are investigated in detail. The results indicate that the shift displacement is controllable by changing the cylinder chamber pressure. The back pressure value is useful for a smooth synchroniser operation. It is determined by the sleeve motion and the throttle parameter. The back pressure affects little on the synchronisation stage during the engagement process. The proposed method can be used for the optimising design of the electrohydraulic system for the synchroniser control.

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Section: Introductionmentioning

confidence: 99%

Synchroniser control with proportional pressure reducing valves and displacement feedback

Luo

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…As for the transmission efficiency, one of the most significant disadvantages of implementing multispeed transmission systems is the increased parasitic efficiency losses presented through clutches, gear mesh and so on [16]. However, the small inertia and controllable speed of the electric motor make it possible to remove friction clutch in the transmission for electric vehicles to minimize the parasitic losses [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Energy management and shifting stability control for a novel dual input clutchless transmission system

Walker

et al. 2019

Mechanism and Machine Theory

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A dual input clutchless transmission system based on automated manual transmission (AMT) structure is proposed for pure electric vehicles. In order to fully exploit the potential of the powertrain system, an energy management strategy (EMS) is developed to determine the power distribution between two motors and the optimal gear state. A mathematical model is built to minimize the energy consumption of the motors at each instant based on the motor efficiency maps. However, the proposed EMS in line with other energy oriented strategies often lead to excessive gear shifting and compromised drivability. To avoid the undesired gear shifting, a shifting stabilizer is built in the EMS objective function to improve shifting quality. Accordingly, to achieve a balance between the energy consumption and the drivability, a multi-objective optimization method is adopted to reduce the unnecessary shifting events while minimizing energy consumption. Two driving cycles representing typical daily driving conditions are used to demonstrate the effectiveness of the proposed system in terms of energy efficiency and shifting stability.

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“…As the drive shaft and tires are the most important compliant parts of the drivetrain, the oscillating drive shaft will cause the transmitted torque oscillates [16, 17]. Therefore, knowing the real‐time torque transmitted in the drive shaft can improve shifting quality a lot regarding computing an optimal shifting time and minimising torsional oscillations [18, 19].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, several researchers still go on the study intensively, and outstanding scientific achievements were published. Some popular observation algorithms have been applied to torque estimations, such as Luenberger observer used by Baumann [21], Kalman filter used by Pettersson [17] and Mousavi [18], but these observers are based on linearised powertrain models, those may introduce deviation from the real system, such as the non‐linear external characteristics of motor and non‐linear drag torque. Gao et al have proposed a non‐linear torque observer for drive shaft based on the concept of input‐to‐state stability and solving a set of linear matrix inequalities, and the observation system is robust to the model uncertainties [22, 23].…”

Section: Introductionmentioning

confidence: 99%

Accelerated adaptive super twisting sliding mode observer‐based drive shaft torque estimation for electric vehicle with automated manual transmission

Lin

Sun

et al. 2018

IET Intelligent Transport Systems

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Estimation of Synchromesh Frictional Torque and Output Torque in a Clutchless Automated Manual Transmission of a Parallel Hybrid Electric Vehicle

Cited by 25 publications

References 22 publications

Synchroniser control with proportional pressure reducing valves and displacement feedback

Synchroniser control with proportional pressure reducing valves and displacement feedback

Energy management and shifting stability control for a novel dual input clutchless transmission system

Accelerated adaptive super twisting sliding mode observer‐based drive shaft torque estimation for electric vehicle with automated manual transmission

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