Control strategy for clutch engagement during mode change of plug-in hybrid electric vehicle

Sim, Kyuhyun; Oh, Sang-Rok; Namkoong, Choul; Lee, Ji-suk; Han, Kwan-Soo; Hwang, Sung Ho

doi:10.1007/s12239-017-0088-3

Cited by 18 publications

(13 citation statements)

References 5 publications

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“…The computation time for the model used in our work is around 40 minutes using a desktop running with an Intel (R) Core i7‐6700 CPU and 32 GB memory. While no such specific numbers are available, it is generally reported that the computational time increases with the model complexity 58 …”

Section: The Analysismentioning

confidence: 99%

Design of a hybrid energy management system using designedrule‐basedcontrol strategy and genetic algorithm for the series‐parallel plug‐in hybrid electric vehicle

2020

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Summary Electric vehicle (EV) is considered as a critical requirement to the future development of transportation. However, the battery performance in terms of power density and energy density limits the use of EVs. An energy management system (EMS) of plug‐in hybrid electric vehicle (PHEV) is very critical to achieve successful transition from the conventional vehicle to the pure electric vehicle (PEV). This paper proposes a hybrid EMS for the series‐parallel PHEV utilising a rule‐based control strategy and genetic algorithm (GA)‐based optimisation technique to overcome the battery limitations. A mathematical model was developed and verified by conducting simulation studies using the vehicle model from ADVISOR database and the GA Optimization Toolbox (GAOT) in the Matlab Simulink environment. The simulation results show that the GA optimization successfully achieved the sub‐targets set in the fitness function. To show the effectiveness of the proposed technique, the results were compared with the simulation results of a single function of the designed rule‐based control strategy—the proposed EMS achieved a significant improvement in the hydrocarbon (HC) emission and NOx emission.

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Section: The Analysismentioning

confidence: 99%

Design of a hybrid energy management system using designedrule‐basedcontrol strategy and genetic algorithm for the series‐parallel plug‐in hybrid electric vehicle

2020

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“…Note that this paper does not explain powertrain modeling in great detail. For more on the modeling process, please refer to the research in [14]. Figure 1 models the powertrain system.…”

Section: Modeling Of the Powertrain Systemmentioning

confidence: 99%

“…The clutch is modeled using the steady-state curve. The curve is measured by a clutch experiment, which provides the clamp load along the clutch release displacement [14]. The battery based on the Thevenin equivalent circuit is modeled in [17].…”

Section: Modeling Of the Powertrain Systemmentioning

confidence: 99%

“…When each acceleration is analyzed during the mode transition, the acceleration is higher than 0.125 g on gear shifting from first to second gear. The gear shifting can be determined by the acceleration pedal position and the current speed [14], which are relate to acceleration. Meanwhile, the thirteenth result sustains higher acceleration than the others, and then it is excluded.…”

Section: Analysis Of Mode Transition and Gear Shifting Conditionsmentioning

confidence: 99%

“…Previously, we proposed the concept of a control strategy, which improves drivability and fuel efficiency [14]. Specifically, we showed that the mode transition included gear-shifting and that it can reduce energy consumption.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Control Strategy for Mode Transition with Gear Shifting in a Plug-In Hybrid Electric Vehicle

Sim¹,

Oh²,

Kang³

et al. 2017

Energies

Self Cite

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Abstract:The mode transition from electric propulsion mode to hybrid propulsion mode is important with regard to the power management strategy of plug-in hybrid electric vehicles (PHEVs). This is because mode transitions can occur frequently depending on the power management strategies and driving cycles, and because inadequate mode transitions worsen the fuel efficiency and drivability. A pre-transmission parallel PHEV uses a clutch between the internal combustion engine (ICE) and the electric motor (EM) to connect or disconnect the power source of the ICE for a mode transition. The mode transition requires additional energy consumption for clutch speed synchronization, and is accompanied by a drivetrain shock due to clutch engagement. This paper proposes a control strategy for the mode transition with gear-shifting to resolve the problems of energy consumption and drivetrain shock. Through the development of a PHEV performance simulator, we analyze the mode transition characteristics and propose a control strategy considering the vehicle acceleration and gear state. The control strategy reduces the duration required for the mode transition by moving the start time of the mode transition. This helps to improve energy efficiency while maintaining adequate drivability.

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Experimental characterization and modeling of dry clutch wear with emphasis on fading effect

Hoić

Škugor

Miklik

et al. 2021

Forsch Ingenieurwes

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Control strategy for clutch engagement during mode change of plug-in hybrid electric vehicle

Cited by 18 publications

References 5 publications

Design of a hybrid energy management system using designedrule‐basedcontrol strategy and genetic algorithm for the series‐parallel plug‐in hybrid electric vehicle

Design of a hybrid energy management system using designedrule‐basedcontrol strategy and genetic algorithm for the series‐parallel plug‐in hybrid electric vehicle

A Control Strategy for Mode Transition with Gear Shifting in a Plug-In Hybrid Electric Vehicle

Experimental characterization and modeling of dry clutch wear with emphasis on fading effect

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