Optimal control of mode transition for four-wheel-drive hybrid electric vehicle with dry dual-clutch transmission
Optimal control of mode transition for four-wheel-drive hybrid electric vehicle with dry dual-clutch transmission
复制标题
干式双离合四轮驱动混合动力汽车模式转换优化控制
DOI:
10.1016/j.ymssp.2017.11.041
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发表时间:
2018-05
影响因子:
8.4
通讯作者:
Li Hangyu
中科院分区:
文献类型:
--
作者:
Zhao Zhiguo;Lei Dan;Chen Jiayi;Li Hangyu
When the four-wheel-drive hybrid electric vehicle (HEV) equipped with a dry dual clutch transmission (DCT) is in the mode transition process from pure electrical rear wheel drive to front wheel drive with engine or hybrid drive, the problem of vehicle longitudinal jerk is prominent. A mode transition robust control algorithm which resists external disturbance and model parameter fluctuation has been developed, by taking full advantage of fast and accurate torque (or speed) response of three electrical power sources and getting the clutch of DCT fully involved in the mode transition process. Firstly, models of key components of driveline system have been established, and the model of five-degrees-of-freedom vehicle longitudinal dynamics has been built by using a Uni-Tire model. Next, a multistage optimal control method has been produced to realize the decision of engine torque and clutch-transmitted torque. The sliding-mode control strategy for measurable disturbance has been proposed at the stage of engine speed dragged up. Meanwhile, the double tracking control architecture that integrates the model calculating feedforward control with H∞robust feedback control has been presented at the stage of speed synchronization. Finally, the results from Matlab/Simulink software and hardware-in-the-loop test both demonstrate that the proposed control strategy for mode transition can not only coordinate the torque among different power sources and clutch while minimizing vehicle longitudinal jerk, but also provide strong robustness to model uncertainties and external disturbance.
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影响因子:
8.4
作者:
Yang Chao;Jiao Xiaohong;Li Liang;Zhang Yuanbo;Chen Zheng
通讯作者:
Chen Zheng
影响因子:
9.2
作者:
Hu, Xiaosong;Li, Shengbo;Peng, Huei
通讯作者:
Peng, Huei
影响因子:
6.8
作者:
Hu Zhang;Yong Zhang;Chengliang Yin
通讯作者:
Hu Zhang;Yong Zhang;Chengliang Yin
影响因子:
--
作者:
Zhiguo Zhao
通讯作者:
Zhiguo Zhao
DOI:
10.1109/icias.2012.6306082
发表时间:
2012-06
期刊:
2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012)
影响因子:
--
作者:
S. Zulkifli;S. Mohd;M. Maharun;N. Saad;A. Aziz
通讯作者:
S. Zulkifli;S. Mohd;M. Maharun;N. Saad;A. Aziz