Multivariable speed synchronisation for a parallel hybrid electric vehicle drivetrain

Alt, Benedikt; Antritter, Felix; Svaricek, Ferdinand; Schultalbers, Matthias

doi:10.1080/00423114.2012.727007

Cited by 16 publications

(6 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To facilitate the design of six parameters for the feedback controller, other expressions of error equations can be derived by Eqs. (19), (20), and (22) as:…”

Section: Design Of the Feedback Controllermentioning

confidence: 99%

“…Existing solutions found in the above-described research publications are based on heuristic techniques; however, these control system designs do not explicitly exploit the modelling aspect involving the clutch model. Therefore, selecting a model-based methodology [20] to present a systematic design architecture is one of the primary interests in this paper, and may have the possibility to achieve the expected control goals.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of a model reference controller for a dual-mode power-split hybrid electric vehicle during mode shift

Chen

Huang

2017

Scientia Iranica

View full text Add to dashboard Cite

This paper presents a Model Reference Controller (MRC) of mode shift that intends to decrease the vehicle jerk and the clutch frictional loss for a dual-mode powersplit Hybrid Electric Vehicle (HEV). To design a model-based control system in this paper, simpli ed dynamic equations capturing mode shift dynamics of the dual-mode power-split HEV are derived. To simplify the complicated dynamic characteristics of mode shift, switched system theory is applied to partition the state space of mode shift into domains and facilitate the controller design. To deal with the friction-induced discontinuity of the clutch torque during mode shift, an MRC is proposed that coordinately manages the engine torque, the motor-generator torque, and the clutch friction torque. In addition, because the control system is overactuated by three control variables (three torques) and two output variables (two angular speeds), the controller parameter selections that involve selecting the combination of the control variables and the feedback-feedforward parameters are comparatively analyzed. The simulation and the experimental results demonstrate that the proposed MRC in this paper can simultaneously reduce the vehicle jerk and the clutch frictional loss, thereby improving the shift quality, when compared with the conventional controller.

show abstract

“…To facilitate the design of six parameters for the feedback controller, other expressions of error equations can be derived by Eqs. (19), (20), and (22) as:…”

Section: Design Of the Feedback Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of a model reference controller for a dual-mode power-split hybrid electric vehicle during mode shift

Chen

Huang

2017

Scientia Iranica

View full text Add to dashboard Cite

show abstract

“…However, in some cases such as acceleration, when the dynamic requirement cannot be met, the vehicle will switch into the hybrid mode to provide larger torque for obtaining demand power. [1][2][3][4] Switching from pure electric mode to hybrid mode (E-H) involves phases of engine cranking, engine acceleration, and engine-motor speed synchronization. As shown in Figure 1, during the E-H process, the torque changes of clutch and motor cause the fluctuation of the half-shaft torque, then excite torsional vibration of the transmission system.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control for active vibration suppression of hybrid electric vehicles during mode transition

Huang

Wang

Yue

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

To realize a rapid and comfortable mode transition process from pure electric mode to hybrid mode (E-H), this study proposes an innovative control strategy which combines open-loop control with model predictive control to regulate the E-H process for a P2.5 configuration hybrid electric vehicle. Firstly, a detailed vehicle longitudinal dynamic model is established and the mode transition process is divided into four phases to reveal the control problems. Based on this model, a strategy combining open-loop control with model predictive control is developed. The open-loop control is adopted before the clutch is locked in order to speed up the transition process and limit the vehicle jerk. The model predictive control (MPC) is adopted after the clutch is locked to actively suppress the vibration caused by the abrupt change of clutch torque at the moment of clutch lock-up. Finally, simulation and hardware-in-the-loop test demonstrate that the proposed strategy for mode transition can achieve both switching rapidity and riding comfort. The algorithm robustness is also discussed and the signal transmission delay influence caused by controller area network (CAN) is studied.

show abstract

“…Taking into account the uncertainties of controller area network (CAN) communication time delays between the vehicle control unit (HCU) and component control units during mode transition, Zhang et al 9 presented a robust controller based on the mu-synthesis method to realize a smooth EV-to-HEV mode transition for a parallel hybrid drivetrain. In addition, Alt et al 10 proposed a flatness-based feedforward and a feedback controller for the engine and motor to guarantee the good tracking behavior between the actual output torque and the demand torque during the mode transition.…”

Section: Introductionmentioning

confidence: 99%

Robust control of mode transition for a single-motor full hybrid electric vehicle

Yin

Yang

2017

Advances in Mechanical Engineering

View full text Add to dashboard Cite

The single-motor full hybrid electric vehicle tends to suffer drivability and excessive clutch wear issues during the mode transition from electric driving to hybrid driving because the single motor must simultaneously propel the vehicle and divert torque via clutch engagement to start the engine. In this study, a novel four-phase compound robust control method consisting of the feedforward-feedback technology and the robust compensation approach is proposed to address these problems during the mode transition. The whole mode transition process was divided into four consecutive phases according to the operating status of engine and clutch. In each phase, a nominal controller based on the feedforward-linear quadratic regulator feedback technology is first designed for the nominal linear model to guarantee a desired control performance. And then, the nonlinear uncertain part of the engine/clutch torque and the vehicle resistant torque as well as the model parameter uncertainties are all considered as equivalent disturbances, and a robust compensator is introduced to suppress the effect of equivalent disturbances. Simulation is performed to validate the effectiveness of the proposed control method. The results show that the four-phase compound robust control method can achieve better vehicle drivability and minimize clutch wear during the mode transition from electric driving to hybrid driving even in the presence of various torque disturbances and parameter uncertainties.

show abstract

Multivariable speed synchronisation for a parallel hybrid electric vehicle drivetrain

Cited by 16 publications

References 22 publications

Design of a model reference controller for a dual-mode power-split hybrid electric vehicle during mode shift

Design of a model reference controller for a dual-mode power-split hybrid electric vehicle during mode shift

Model predictive control for active vibration suppression of hybrid electric vehicles during mode transition

Robust control of mode transition for a single-motor full hybrid electric vehicle

Contact Info

Product

Resources

About