Research of Control Strategy for Hybrid Electric Vehicle with Super Capacitor

2011 ◽  
Vol 347-353 ◽  
pp. 750-758
Author(s):  
Hong Tao Yu ◽  
Shun Ming Li ◽  
Dong Ping Wang

Design and develop a new type of parallel hybrid electric vehicle with ISG motor, super capacitor and electric dual-clutch, based on the former automobile chassis. Look profoundly into the structure and the control strategy of the hybrid power system. The driving mode of the vehicle has been divided strictly into five modes and the torque of engine and ISG motor has been distributed rationally. The control model of the system has been built by Simulink, and the control parameters for each driving mode have been optimized through a lot of experiments. At last, the validity of control strategy has been proved and verified by the simulation platform of Matlab/Simulink and hub experiments.

2010 ◽  
Vol 4 (1) ◽  
pp. 224-231 ◽  
Author(s):  
Shichun Yang ◽  
Ming Li ◽  
Haoyu Weng ◽  
Bao Liu ◽  
Qiang Li ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Jing Sun ◽  
Guojing Xing ◽  
Xudong Liu ◽  
Xiaoling Fu ◽  
Chenghui Zhang

The torque coordination control during mode transition is a very important task for hybrid electric vehicle (HEV) with a clutch serving as the key enabling actuator element. Poor coordination will deteriorate the drivability of the driver and lead to excessive wearing to the clutch friction plates. In this paper, a novel torque coordination control strategy for a single-shaft parallel hybrid electric vehicle is presented to coordinate the motor torque, engine torque, and clutch torque so that the seamless mode switching can be achieved. Different to the existing model predictive control (MPC) methods, only one model predictive controller is needed and the clutch torque is taken as an optimized variable rather than a known parameter. Furthermore, the successful idea of model reference control (MRC) is also used for reference to generate the set-point signal required by MPC. The parameter sensitivity is studied for better performance of the proposed model predictive controller. The simulation results validate that the proposed novel torque coordination control strategy has less vehicle jerk, less torque interruption, and smaller clutch frictional losses, compared with the baseline method. In addition, the sensitivity and adaptiveness of the proposed novel torque coordination control strategy are evaluated.


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