Design of coordinated control strategy during driving mode switching for parallel hybrid electric vehicles

Fu, Jiangtao; Song, Shuzhong; Fu, Zhumu; Ma, Jianwei

doi:10.1177/0142331218803669

Cited by 12 publications

(6 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[25] investigates an algorithm that can eliminate torque fluctuations caused by engine start and stop. [26] present a coordinated control strategy considering the different dynamic response characteristics of ICE and MG. [27] added the time-varying trajectory disturbance prediction based on echo state network to the vehicle active vibration control method and realized the active vibration control of hybrid electric vehicle powertrain.…”

Section: Optimization Of Powertrain and Emsmentioning

confidence: 99%

Research on Multi-objective Parameter Dynamic Optimization Design of HEV Considering Mode Transition

Huang¹,

Zhi-yu

Qiu³

et al. 2022

mech

View full text Add to dashboard Cite

The parameter optimization of hybrid electric vehicle is very complex and has always been the focus of research, due to the highly intertwined relationship between powertrain configurations and EMS. In addition, automated powertrain is typical cyber-physics system that contains discrete states, such as modes and gears. Transition between discrete states is a contributing factor that causes discomfort. Therefore, in order to solve the above problems, this paper proposes a multi-objective dynamic optimization algorithm considering mode transition. The algorithm consists of two layers. The first layer optimizes fuel economy and dynamic performance, the second layer optimizes ride comfort and smoothness performance, and the results of the second layer are returned to the first layer for re-optimization in real time. The mode transition frequency is used as the comfort objective function, and the threshold value of the engine high efficiency working area is added to the optimization parameter selection. The results show that the optimization method proposed in this paper realizes the parameter decoupling, and the optimization results achieve the global optimization. Effectively improves the vehicle performance and reduces engine start-stop frequently.

show abstract

Section: Optimization Of Powertrain and Emsmentioning

confidence: 99%

Research on Multi-objective Parameter Dynamic Optimization Design of HEV Considering Mode Transition

Huang¹,

Zhi-yu

Qiu³

et al. 2022

mech

View full text Add to dashboard Cite

show abstract

“…Fu et al 49 divided the mode switching process of the parallel hybrid vehicle into three types according to the state of the clutch and engine, that is the first type including the engine starting process and the clutch engagement process, the second type including the clutch disconnecting process, and the third type in which the engine has been operating. By analyzing the dynamic characteristics of various mode switching processes, a clutch fuzzy control strategy including the initial oil pressure and sliding pressure change rate was proposed.…”

Section: Staged Dccs Based On Torque Estimationmentioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

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.

show abstract

“…The response characteristics of the engine, motor and other components of hybrid power system are obviously different [14]. Thus, the characteristics of each component should be fully understood to achieve good shifting control.…”

Section: Introductionmentioning

confidence: 99%

MPC-Based Coordinated Control of Gear Shifting Process for a Power-split Hybrid Electric Bus with a Clutchless AMT

Liu

Zeng

Song

2022

Chin. J. Mech. Eng.

View full text Add to dashboard Cite

Two-speed clutchless automated manual transmission (AMT) has been widely implemented in electric vehicles for its simple structure and low cost. In contrast, due to the complex response characteristics of powertrain, utilizing clutchless AMT in a hybrid power system comes with complex coordination control problems. In order to address these issues, a power-split hybrid electric bus with two-speed clutchless AMT is studied in this paper, and a coordinated control method based on model predictive control (MPC) is used in gear shifting control strategy (GSCS) to improve gear shifting quality and reduce system jerk. First, the dynamic model of power sources and other main powertrain components including a single planetary gear set and AMT are established on the basis of data-driven and mechanism modeling methods. Second, the GSCS is put forward using the segmented control idea, and the shifting process is divided into five phases, including (I) unloading of drive motor, (II) shifting to neutral gear, (III) active speed synchronization by drive motor, (IV) engaging to new gear, and (V) resuming the drive motor’s power, among which the phases I and V have evident impact on the system jerk. Then, the MPC-based control method is adopted for these phases, and the fast compensation of driving torque is realized by combining the prediction model and quadratic programming method. The simulation results show that the proposed GSCS can effectively reduce shift jerk and improve driving comfort. This research proposes a coordinated control strategy of two-speed clutchless AMT, which can effectively improve the smoothness of gear shifting and provides a reference for the application of two speed clutchless AMT in power-split hybrid powertrains.

show abstract

Design of coordinated control strategy during driving mode switching for parallel hybrid electric vehicles

Cited by 12 publications

References 20 publications

Research on Multi-objective Parameter Dynamic Optimization Design of HEV Considering Mode Transition

Research on Multi-objective Parameter Dynamic Optimization Design of HEV Considering Mode Transition

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

MPC-Based Coordinated Control of Gear Shifting Process for a Power-split Hybrid Electric Bus with a Clutchless AMT

Contact Info

Product

Resources

About