Coordinated Control Strategy in Engine Starting Process for a Novel Compound Power-Split Hybrid Electric Vehicle

Author(s):  
Dengfeng Shen ◽  
Clemens Gühmann ◽  
Tong Zhang ◽  
Xizhen Dong

Due to the direct connection between the engine and the compound power split hybrid transmission (CPSHT) in hybrid electric vehicle (HEV), engine ripple torque (ERT) can result in obvious jerks in engine starting process (ESP). In order to improve the riding comfort, two wet clutches are mounted in this novel CPSHT. This research developed a new coordinated control strategy and its effectiveness was verified in simulation. Firstly, the mechanical and hydraulic parts of the CPSHT were introduced, and the riding comfort problem during ESP in primary design was illustrated. Secondly, the dynamic plant model including ERT, driveline model and clutch torque was deduced. Thirdly, a coordinated control strategy was designed to determine the target engine torque, motor torque, clutch torque and the moment of fuel injection. A Kalman filter based clutch torque estimator was applied with the help of electric motors information. The simulation result indicates that proposed coordinated control strategy can indeed suppress vehicle jerk and improve the riding comfort in ESP.

2017 ◽  
Vol 9 (7) ◽  
pp. 168781401770596 ◽  
Author(s):  
Minghui Hu ◽  
Guochang Jiang ◽  
Chunyun Fu ◽  
Datong Qin

To tackle the excessive output torque ripple during engine starting process of parallel hybrid electric vehicles, the engine starting process is divided into three phases in this study: engine cranking phase, speed synchronization phase, and after synchronization phase. The expressions of the vehicle jerk are derived from the vehicle dynamic formula in each phase, and the influences of various parameters on the jerk are analyzed. The coordinated control strategy for the clutch pressure and motor torque and that for the motor torque and engine torque are proposed. The simulation model for the single-motor parallel hybrid electric vehicle is established using MATLAB/Simulink, and the effectiveness of the proposed control algorithms is verified. Besides, a bench test is conducted and the test results show that the selected change rates of clutch pressure, motor torque, and engine torque can effectively coordinate the relation between clutch, motor, and engine. It can be concluded that the proposed control strategy satisfies the requirement of vehicle ride performance in engine starting in-motion process.


2020 ◽  
Vol 104 ◽  
pp. 104634 ◽  
Author(s):  
Xun Zhang ◽  
Hui Liu ◽  
Zhaobin Zhan ◽  
Yunhao Wu ◽  
Wei Zhang ◽  
...  

Author(s):  
Yi Huo ◽  
Fengjun Yan ◽  
Daiwei Feng

This paper addresses a control scheme for a parallel hybrid vehicle powertrain by introducing fueling control techniques. Since a diesel engine is involved in the proposed configuration, the control of fuel injection mass and timing becomes a crucial issue. In this study, these two variables are selected as control inputs for the hybrid powertrain system. Meanwhile, an optimization-based control strategy is designed to solve the hybrid electric vehicle power management problem by incorporating engine brake specific fuel consumption characteristics with regard to fuel injection control variables. To show the advantages of the proposed control scheme, another optimization-based strategy with fixed fuel injection timing is developed and implemented for comparison. The influence of NOx emission is also considered in control strategy and simulation results to show that the proposed fuel control technique has limited impact on NOx emission but imposes a considerable improvement on fuel saving.


2021 ◽  
Vol 11 (24) ◽  
pp. 12118
Author(s):  
Qicheng Xue ◽  
Xin Zhang ◽  
Cong Geng ◽  
Teng Teng

This paper proposes a novel hybrid power system to improve the shift quality of a hybrid electric vehicle (HEV). After selecting a typical shift scheme, the study focused on the motor rotary velocity control algorithm and coordinated control strategy for the motor and clutch. The effects of various control algorithms on different target rotary velocities were analyzed, and a proportional-integral-derivative (PID)–bang-bang–fuzzy compound intelligent algorithm for a motor rotary velocity control system was investigated. In addition, to address the problems of the long synchronizing time required for the rotary velocity and large sliding friction work, which affect the shift quality during the process of engaging the clutch, a coordinated control strategy for the motor rotary velocity and clutch oil pressure was investigated. The research results showed that, compared with a gear shift coordinated control strategy based on a PID control algorithm, the strategy based on the PID–bang-bang–fuzzy compound intelligent control algorithm proposed here reduced the shift time and clutch slipping friction work by 35.7% and 19.2%, respectively.


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