Stability control of distributed drive electric vehicles based on traction and brake force coordination control

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Abstract

For four-wheel-independent-drive electric vehicles, limited yaw moment can be generated by traction coordination and inaccurate torque control exists in the traditional electronic stability control system. A brake and traction force coordination control method is developed to alleviate this problem using model predictive control. The vehicle stability at the limiting conditions is improved by a cost function and a multi-input multi-output predictive control law. The quadratic programming method is used to solve the receding horizon problem. Simulations show that the system achieves quicker yaw response than the normal feedback control method, so the vehicle lateral stability is improved.

Keywords vehicle handling and stability distributed electric drive vehicle brake and traction force coordinate control model predictive control

Issue Date: 15 June 2014

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	Jian LUO
	Yugong LUO
	Wenbo CHU
	Shuwei ZHANG
	Keqiang LI

Cite this article:

Jian LUO,Yugong LUO,Wenbo CHU, et al. Stability control of distributed drive electric vehicles based on traction and brake force coordination control[J]. Journal of Tsinghua University(Science and Technology), 2014, 54(6): 729-733.

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http://jst.tsinghuajournals.com/EN/ OR http://jst.tsinghuajournals.com/EN/Y2014/V54/I6/729

[1]	范晶晶, 罗禹贡, 张弦, 等. 多轴独立电驱动车辆驱动力的协调控制[J]. 清华大学学报: 自然科学版, 2011, 51(4): 478-481. FAN Jingjing, LUO Yugong, ZHANG Xian, et al.Coordinated control of driving torque for multi-axles independent driving vehicles[J]. J Tsinghua Univ: Sci and Tech, 2011, 51(4): 478-481. (in Chinese) url: http://www.cnki.com.cn/Article/CJFDTotal-QHXB201104010.htm
[2]	卢东斌, 欧阳明高, 谷靖, 等. 四轮驱动电动汽车永磁无刷轮毂电机转矩分配[J]. 清华大学学报: 自然科学版, 2012, 52(4): 451-456. LU Dongbin, OUYANG Minggao, GU Jing, et al.Torque distribution algorithm for a permanent brushless DC hub motor for four-wheel drive electric vehicles[J]. J Tsinghua Univ: Sci and Tech, 2012, 52(4): 451-456.(in Chinese) url: http://www.cnki.com.cn/Article/CJFDTotal-QHXB201204006.htm
[3]	He P, Hori Y, Makoto K, et al. Future motion control to be realized by in-wheel motored electric vehicle [C]// 31st Annual Conference of IEEE. Raleigh, NC, 2005.
[4]	Hori Y. Future vehicle driven by electricity and control: Research on four-wheel-motored “UOT Electric March II”[J]. Industrial Electronics, 2004, 51(5): 954-962. url: http://dx.doi.org/10.1109/TIE.2004.834944
[5]	Cong G, Mostefai L, Dena M, et al.Direct yaw-moment control of an in-wheel-motored electric vehicle based on body slip angle fuzzy observer[J]. Industrial Electronics, 2009, 56(5): 1411-1419. url: http://dx.doi.org/10.1109/TIE.2009.2013737
[6]	Shino M, Nagai M. Independent wheel torque control of small-scale electric vehicle for handling and stability improvement[J]. JSAE Review, 2003, 24(4): 449-456. url: http://dx.doi.org/10.1016/S0389-4304(03)00080-8
[7]	Jacobsen B. Potential of electric wheel motors as new chassis actuators for vehicle maneuvering[J]. Journal of Automobile Engineering, 2002, 216(8): 631-640. url: http://dx.doi.org/10.1177/095440700221600801
[8]	YAN Chen, WANG Junmin. Energy-efficient control allocation with applications on planar motion control of electric ground vehicles [C]// American Control Conference 2011. San Francisco, CA, 2011: 2719-2724.
[9]	LI Feiqiang, WANG Jun, LIU Zhaodu. Motor torque based vehicle stability control for four-wheel-drive electric vehicle [C]// Vehicle Power and Propulsion Conference. Dearborn, MI, 2009: 1596-1601.
[10]	LI Feiqiang, WANG Jun, LIU Zhaodu. Fuzzy-logic-based controller design for four-wheel-drive electric vehicle yaw stability enhancement [C]// 6th International Conference on Fuzzy Systems and Knowledge Discovery. Dearborn, MI, 2009: 116-120.
[11]	张徳兆. 基于弯道行驶的车辆自适应巡航控制[D]. 北京: 清华大学, 2011. ZHANG Dezhao. Vehicular Adaptive Cruise Control on Curved Road[D]. Beijing: Tsinghua University, 2011.(in Chinese)
[12]	ZHOU Hongliang, LIU Zhiyuan. Design of vehicle yaw stability controller based on model predictive control [C]// Intelligent Vehicles Symposium. Xi'an, 2009: 802-807.
[13]	Yi K, Chung T, Kim J, et al.An investigation into differential braking strategies for vehicle stability control[J]. Journal of Automobile Engineering, 2003, 217(12): 1081-1093. url: http://dx.doi.org/10.1243/09544070360729428

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