Optimization of Economy Shift Schedule for a Hybrid Electric Vehicle with Automated Manual Transmission

Author(s):  
Cheng Wang ◽  
Bo Zhang ◽  
Jinshan Feng ◽  
Yu Guan ◽  
Jun Li ◽  
...  
2014 ◽  
Vol 651-653 ◽  
pp. 1455-1459 ◽  
Author(s):  
Zhan Jiang Liu ◽  
Hao Li ◽  
Xin Li ◽  
Jun Li ◽  
Xue Song Li

For a plug-in hybrid electric vehicle equipped with Automated Manual Transmission (AMT), Dynamic Programming (DP) algorithm is used to improve the energy economy of the vehicle under the dynamic performance. Meanwhile, the energy consumption curve of vehicle and the operating points of engine under the driving cycle are obtained. From the results, the operation can be divided into two phases which are pure electric driving mode and hybrid driving mode. Then, compare the consumption in the two phases of hybrid electric vehicle with that of pure electric vehicle and traditional fuel vehicle separately. Finally, through calculation, the dynamic performance of the plug-in hybrid electric vehicle is also verified.


2012 ◽  
Vol 260-261 ◽  
pp. 331-336
Author(s):  
Zhen Tong Liu ◽  
Hong Wen He ◽  
Wei Qing Li

Power train of hybrid electric vehicle (HEV) equipped with automated mechanical transmission (AMT) is made up of engine, electric motor, batteries and propulsion system. Shift schedule can’t be worked out with the same way of conventional AMT vehicle. Based on the optimal torque distribution strategy and analysis of the driving efficiency for parallel hybrid electric vehicle (PHEV), a new economy shift schedule for PHEVs equipped with AMT is proposed to maximize the driving efficiency. The MATLAB/CRUISE co-simulation results show that the proposed shift schedule can more efficiently improve the fuel economy performance.


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