Optimised Control of a Dedicated Hybrid Transmission

Teufelberger, Patrick; Yolga, Muammer; Ringdorfer, Martin; Korsunsky, Evgeny

doi:10.1007/s38313-016-0086-2

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…To obtain the best performance, the best mode should be determined under various driving conditions. Under constant speed conditions, due to the emphasis on vehicle economy, the demand for power reserve is small; under acceleration conditions, due to the emphasis on vehicle drivability, the demand for power reserve is relatively large [29]. Therefore, the weighting factor u is defined to adjust the relative importance of the economic score and the drivability score in real time according to the acceleration demand, and the comprehensive performance score is calculated and compared for mode selection, as shown in Formula (23).…”

Section: Comprehensive Score Calculationmentioning

confidence: 99%

Adaptive Mode Selection Strategy for Series-Parallel Hybrid Electric Vehicles Based on Variable Power Reserve

Fan

Zhou³

et al. 2021

Energies

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When the series-parallel hybrid electric vehicle exits the pure electric mode, the battery provides power for the drive motor and integrated starter generator (ISG) to drive the vehicle and start the engine. If the battery discharge power is insufficient, the driving power will drop, which will inhibit the vehicle from accelerating and impair drivability. Considering that the mode selection strategy determines the timing of mode switching, this paper proposes an adaptive mode selection strategy based on variable power reserve to allow the vehicle to switch mode considering the battery power limitation. The effectiveness of this strategy is verified by simulation, and its influence on fuel consumption and battery utilization is analyzed. Compared with the mode selection strategy based on logic thresholds at the same initial battery state of charge (SOC), under the high-speed and aggressive US06 cycle, the total driving power drop is reduced by 74.2%, and the over-discharge power of the battery is fully restrained while keep almost the same fuel consumption; under the city FTP cycle, the total driving power drop is reduced 65%, and fuel consumption is reduced while maintaining SOC at a reasonable level.

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Section: Comprehensive Score Calculationmentioning

confidence: 99%

Adaptive Mode Selection Strategy for Series-Parallel Hybrid Electric Vehicles Based on Variable Power Reserve

Fan

Zhou³

et al. 2021

Energies

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“…However, the torque control in this case was also feedforward control, hence robustness could not be guaranteed. Teufelberger et al [24] introduced an optimized control strategy of a DHT based on the calculation of quasi-stationary hybrid modes for torque and powertrain configuration. Zhao et al [25] proposed a coordinated control strategy of a DHT based on a dynamic programming (DP) algorithm, which could shorten the shifting time and improve the shift quality.…”

Section: Introductionmentioning

confidence: 99%

“…Since the DHT has an MG1 before the clutch, there are two possible ways to achieve powershift. The first way is to shift based on the clutch actuation [21,24,25]. Due to the clutch's nonlinearity and hysteresis, it needs additional control requirements [11].…”

Section: Introductionmentioning

confidence: 99%

Shifting Process Optimization of Dedicated Hybrid Transmission

Wei

Huang

et al. 2022

IEEE Access

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The shifting process of a hybrid electric vehicle (HEV) could be implemented by a motor to simplify the control requirement when the clutch is engaged. In order to reduce the vehicle jerk and simplify the clutch control requirement during the shifting process, this paper introduces a 3-speed dedicated hybrid transmission (3DHT) with P1/P3 configuration and a power shift control strategy. A finite-time linear quadratic regulator (LQR) is proposed to smoothly transfer torque and suppress driveline oscillations during the torque transfer process with a maximum jerk of 5.6 m/s 3 . Since the clutch stays engaged, a predictive sliding mode control (SMC) is proposed to track the speed of the sleeve quickly and precisely during the synchronization process, which takes 0.18s and maintains a speed difference of around 1 rpm. Furthermore, a Kalman Filter is utilized to overcome the difficulties associated with side shaft torque measurement and low wheel speed resolution. A simulation is performed in MATLAB/SIMULINK, and the powershift (2nd -> 3rd) is compared with other methods. The comparison indicates that the proposed power shift strategy can reduce the maximum jerk from 14.8 m/s3 to 5.6 m/s3, while the entire shifting process lasts for 0.71s. Therefore, the proposed power shift control strategy effectively improves the shift quality.INDEX TERMS hybrid electric vehicle, power shift, dedicated hybrid transmission, linear quadratic regulator, sliding mode control

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Optimised Control of a Dedicated Hybrid Transmission

Cited by 2 publications

References 1 publication

Adaptive Mode Selection Strategy for Series-Parallel Hybrid Electric Vehicles Based on Variable Power Reserve

Adaptive Mode Selection Strategy for Series-Parallel Hybrid Electric Vehicles Based on Variable Power Reserve

Shifting Process Optimization of Dedicated Hybrid Transmission

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