Full Text:   <3117>

Summary:  <2514>

CLC number: U469.72

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2014-03-17

Cited: 6

Clicked: 8837

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
Open peer comments

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

http://doi.org/10.1631/jzus.A1300356


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.

@article{title="Drivability improvements for a single-motor parallel hybrid electric vehicle using robust controls",
author="Hu Zhang, Cun-lei Wang, Yong Zhang, Jun-yi Liang, Cheng-liang Yin",
journal="Journal of Zhejiang University Science A",
volume="15",
number="4",
pages="291-301",
year="2014",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1300356"
}

%0 Journal Article
%T Drivability improvements for a single-motor parallel hybrid electric vehicle using robust controls
%A Hu Zhang
%A Cun-lei Wang
%A Yong Zhang
%A Jun-yi Liang
%A Cheng-liang Yin
%J Journal of Zhejiang University SCIENCE A
%V 15
%N 4
%P 291-301
%@ 1673-565X
%D 2014
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1300356

TY - JOUR
T1 - Drivability improvements for a single-motor parallel hybrid electric vehicle using robust controls
A1 - Hu Zhang
A1 - Cun-lei Wang
A1 - Yong Zhang
A1 - Jun-yi Liang
A1 - Cheng-liang Yin
J0 - Journal of Zhejiang University Science A
VL - 15
IS - 4
SP - 291
EP - 301
%@ 1673-565X
Y1 - 2014
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A1300356


Abstract: 
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.

基于鲁棒控制的一种单电机并联式混合动力电动汽车的驾驶性改善方法

研究目的:改善一种单电机并联式混合动力电动汽车的驾驶性能。
创新要点:1.建立面向控制器设计的系统模型,并且考虑系统参数的不确定性和CAN通讯延迟;2.设计基于mu综合的鲁棒控制器,减小了模式切换时车辆的冲击度,改善车辆的驾驶性能。
研究方法:1.将发动机端和电机端的控制解耦,并对其进行单独的控制设计(图5、8);2.发动机端控制主要用于发动机调速,电机端控制主要用于补偿离合器转矩对传动系造成的干扰;3.控制器设计时采用前馈控制和鲁棒控制结合的方法。
重要结论:通过采用鲁棒控制,使得一种单电机并联式混合动力电动汽车的驾驶性得到了改善。同时,在参数的不确定性和CAN通讯延迟的干扰下,整个系统依旧稳定运行且性能良好。

关键词:混合动力电动汽车;驾驶性;模式切换;鲁棒控制

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

References

[1] Amann, N., Bocker, J., Prenner, F., 2004. Active damping of drive train oscillations for an electrically driven vehicle. Mechatronics, IEEE/ASME Transactions on, 9(4):697-700. 


[2] Balas, G.J., Doyle, J.C., Glover, K., 2001. Mu-analysis and Synthesis Toolbox Users Guide, The MathWorks Inc,:

[3] Beck, R., Richert, F., Bollig, A., 2005. Model predictive control of a parallel hybrid vehicle drivetrain. , Proceedings of the 44th IEEE Conference on Decision and Control and European Control Conference CDC-ECC05, 2670-2675. :2670-2675. 


[4] Caruntu, C.F., Balau, A.E., Lazar, M., 2011. A predictive control solution for driveline oscillations damping. , Proceedings of the 14th International Conference on Hybrid Systems: Computation and Control, 181-190. :181-190. 


[5] Caruntu, C.F., Lazar, M., Di Cairano, S., 2011. Horizon-1 predictive control of networked controlled vehicle drivetrains. , 18th IFAC World Congress, 3824-3830. :3824-3830. 


[6] Chan, C.C., 2002. The state of the art of electric and hybrid vehicles. Proceedings of the IEEE, 90(2):247-275. 


[7] Ehsani, M., Gao, Y., Emadi, A., 2009.  Modern Electric, Hybrid Electric, and Fuel Cell Vehicles: Fundamentals, Method and Design. CRC Press,Boca Raton, FL :1-2. 

[8] He, Y., Bucknor, N., Smith, A., 2010. Modeling and drivability assessment of a single-motor strong hybrid at engine start. SAE Technical Paper, 2010-01-1440,:


[9] Herpel, T., Hielscher, K.S., Klehmet, U., 2009. Stochastic and deterministic performance evaluation of automotive CAN communication. Computer Networks, 53(8):1171-1185. 


[10] Hong, J., Kim, S., Min, B., 2009. Drivability development based on cosimulation of AMESim vehicle model and Simulink HCU model for parallel hybrid electric vehicle. SAE Technical Paper, 2009-01-0725,:


[11] Kim, H., Kim, J., Lee, H., 2011. Mode transition control using disturbance compensation for a parallel hybrid electric vehicle. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 225(2):150-166. 


[12] Koprubasi, K., Westervelt, E.R., Rizzoni, G., 2007. Toward the systematic design of controllers for smooth hybrid electric vehicle mode changes. , Proceedings of the American Control Conference, New York, USA, 2985-2990. :2985-2990. 


[13] Lefebvre, D., Chevrel, P., Richard, S., 2003. An H-infinity-based control design methodology dedicated to the active control of vehicle longitudinal oscillations. Control Systems Technology, IEEE Transactions on, 11(6):948-956. 


[14] Liang, J.Y., Zhang, J.L., Zhang, X., 2013. Energy management strategy for a parallel hybrid electric vehicle equipped with a battery/ultra-capacitor hybrid energy storage system. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 14(8):535-553. 


[15] Sheikhi, A., Bahrami, S., Ranjbar, A.M., 2013. Strategic charging method for plugged in hybrid electric vehicles in smart grids; a game theoretic approach. International Journal of Electrical Power & Energy Systems, 53:499-506. 


[16] Smith, A., Bucknor, N., Yang, H., 2011. Controls development for clutch-assisted engine starts in a parallel hybrid electric vehicle. SAE Technical Paper, 2011-01-0870,:


[17] Skogestad, S., Postlethwaite, I., 2001.  Multivariable Feedback Control. John Wiley & Sons,Chichester :293-351. 

[18] Templin, P., Egardt, B., 2009. An LQR torque compensator for driveline oscillation damping. , Control Applications (CCA) & Intelligent Control (ISIC), IEEE, 352-356. :352-356. 


[19] Xiong, W.W., Zhang, Y., Yin, C.L., 2009. Configuration design, energy management and experimental validation of a novel series-parallel hybrid electric transit bus. Journal of Zhejiang University-SCIENCE A, 10(9):1269-1276. 


[20] Zhang, J., Lu, X., Wang, L., 2008. A study on the drivability of hybrid electric vehicle. SAE Technical Paper, 2008-01-1572,:



Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE