Optimization of control parameters for a parallel hybrid electric vehicle based on AMESim

Author(s):  
Daowei Zhu ◽  
Hongrui Chen ◽  
Shishun Zhu ◽  
Gang Yang
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.


2011 ◽  
Vol 228-229 ◽  
pp. 951-956 ◽  
Author(s):  
Yun Bing Yan ◽  
Fu Wu Yan ◽  
Chang Qing Du

It is necessary for Parallel Hybrid Electric Vehicle (PHEV) to distribute energy between engine and motor and to control state-switch during work. Aimed at keeping the total torque unchanging under state-switch, the dynamic torque control algorithm is put forward, which can be expressed as motor torque compensation for engine after torque pre-distribution, engine speed regulation and dynamic engine torque estimation. Taking Matlab as the platform, the vehicle control simulation model is built, based on which the fundamental control algorithm is verified by simulation testing. The results demonstrate that the dynamic control algorithm can effectively dampen torque fluctuations and ensures power transfer smoothly under various state-switches.


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