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CLC number: U469.72

On-line Access: 2014-04-03

Received: 2013-11-23

Revision Accepted: 2014-02-23

Crosschecked: 2014-03-17

Cited: 6

Clicked: 4320

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2014 Vol.15 No.4 P.291-301


Drivability improvements for a single-motor parallel hybid electric vehicle using robust controls*

Author(s):  Hu Zhang, Cun-lei Wang, Yong Zhang, Jun-yi Liang, Cheng-liang Yin

Affiliation(s):  . National Engineering Laboratory for Automotive Electronic Control Technology, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   clwang@sjtu.edu.cn

Key Words:  Hybrid electric vehicle, Drivability, Mode transition, Robust control, Mu synthesis

Hu Zhang, Cun-lei Wang, Yong Zhang, Jun-yi Liang, Cheng-liang Yin. Drivability improvements for a single-motor parallel hybrid electric vehicle using robust controls[J]. Journal of Zhejiang University Science A, 2014, 15(4): 291-301.

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A1 - Hu Zhang
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A1 - Yong Zhang
A1 - Jun-yi Liang
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J0 - Journal of Zhejiang University Science A
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DOI - 10.1631/jzus.A1300356

For a single-motor parallel hybrid electric vehicle, during mode transitions (especially the transition from electric drive mode to engine/parallel drive mode, which requires the clutch engagement), the drivability of the vehicle will be significantly affected by a clutch torque induced disturbance, driveline oscillations and jerks which can occur without adequate controls. To improve vehicle drivability during mode transitions for a single-motor parallel hybrid electric vehicle, two controllers are proposed. The first controller is the engine-side controller for engine cranking/starting and speed synchronization. The second controller is the motor-side controller for achieving a smooth mode transition with reduced driveline oscillations and jerks under the clutch torque induced disturbance and system uncertainties. The controllers are all composed of a feed-forward control and a robust feedback control. The robust controllers are designed by using the mu synthesis method. In the design process, control-oriented system models that take account of various parameter uncertainties and un-modeled dynamics are used. The results of the simulation demonstrate the effectiveness of the proposed control algorithms.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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