Control strategy for all the mode-switches of hybrid electric vehicle

Yang, Lefu; Qin, Datong; Liu, Yonggang; Yang, Yang

doi:10.1177/1687814016681233

Cited by 18 publications

(12 citation statements)

References 13 publications

(16 reference statements)

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“…i 1 and i 2 denote the transmission ratios of two planetary gears, respectively. Lin et al also studied the effectiveness of the engine torque estimation method in reducing the impact of switching between multiple driving modes and braking modes.…”

Section: Various Dccsmentioning

confidence: 99%

Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

et al. 2020

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Summary Aiming at the problem of torque coordinated control between motor with high‐frequency response and engine with low‐frequency response of hybrid electric vehicle (HEV) during mode transition process, the mechanism of its coordinated control problem is deeply explored, and the essence of dynamic coordinated control strategy (DCCS) through torque coupling analysis is also revealed, namely, motor torque compensation control. Then a series of domestic and international researches on multi‐power sources coordinated control are systematically summarized from the establishment of electromechanical transmission (EMT) system model, mode switching process analysis, engine‐clutch‐motor coordinated control strategy based on torque estimation and speed feedback tracking, as well as the controller robustness analysis under system parameter perturbation and external disturbance. Finally, the key issues on the rapidity, adaptability, and experiment of torque coordination control which need to be solved in the subsequent researches are pointed out clearly.

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Section: Various Dccsmentioning

confidence: 99%

Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

et al. 2020

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“…It is shown as follows. (19) where SOC lowerlimit sc is the lower limit of SCs SOC. Besides, we hope that SCs can recycle the all energy of regenerative-braking because of high efficiency of charging and discharging.…”

Section: Reference Tracementioning

confidence: 99%

“…But the variation of batteries is still larger. A mass of EMS for multiple energy storage EV are used to allocate the output power of batteries and SCs from different perspective in [18][19][20][21][22][23][24][25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Adaptive energy management strategy for hybrid batteries/supercapacitors electrical vehicle based on model prediction control

Tao

2019

Asian Journal of Control

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In this paper, in order to extend battery lifespan and lift power performance in hybrid batteries/supercapacitors electrical vehicles, a new energy management strategy is proposed based on model prediction control and adaptive method. Firstly, models of batteries and supercapacitors are built, which are then adapted and simplified to develop state space expression. Secondly, a series of reference values of battery power and supercapacitor state of charge for model prediction methods are properly calculated by the adaptive method. Thereafter, an energy management strategy based on the model prediction control method is designed to allocate the output power of batteries and supercapacitors within constraints, which guarantees batteries lifespan and the power performance of vehicle. Finally, simulation and experiment results are provided to evaluate battery lifespan and power performance of vehicles under HWFET and UDDS road conditions. The results obtained show that the proposed strategy, compared with the former methods, reduce average power and power variation of batteries, and effectively utilize supercapacitors depending on the power demand, which can extend battery lifespan and lift the power performance of vehicle.

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“…Due to the different dynamic characteristics of the engine, motor, and wet clutch, driving mode switches from one to another cause torque fluctuations, which deteriorate the riding 2 of 19 comfort. Therefore, it is necessary to control the dynamic process of driving mode switches effectively to reach a coordinated work state between engine, motor, and clutch [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A Control Strategy for Driving Mode Switches of Plug-in Hybrid Electric Vehicles

et al. 2018

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Driving mode switches of hybrid vehicles are significant events. Due to the different dynamic characteristics of the engine, motor, and wet clutch, it is difficult to coordinate torque fluctuations caused by mode switches. This paper focused on a control strategy for driving mode switches of plug-in hybrid electric vehicles (PHEVs) with a multi-disk wet clutch. First, the dynamic model of the PHEV was established, and a rule-based control strategy was proposed to divide the working mode regions and distribute the torque between engine and motor. Second, the dual fuzzy control strategy for a wet clutch and the coordinated torque control strategy for driving mode switches were proposed. The dual fuzzy logic control system consisted of the initial pulse-width modulation (PWM)’s duty cycle control and the changing rate of the PWM’s duty cycle control. Considering the difference in the dynamic characteristics between engine, motor, and wet clutch, a coordinated control strategy for the driving mode switches of PHEVs was put forward. Third, simulations of driving mode switches between pure electric driving mode and only engine driving mode were conducted. The results showed that the proposed control strategy could reduce the torque ripple and the jerk of the vehicle, completely satisfying the requirements of China. Finally, the control strategy for the motor-assisted engine starting process was tested on the bench. The experiment results indicated that the proposed control strategy was effective.

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Control strategy for all the mode-switches of hybrid electric vehicle

Cited by 18 publications

References 13 publications

Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

Review on multi‐power sources dynamic coordinated control of hybrid electric vehicle during driving mode transition process

Adaptive energy management strategy for hybrid batteries/supercapacitors electrical vehicle based on model prediction control

A Control Strategy for Driving Mode Switches of Plug-in Hybrid Electric Vehicles

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