Dynamic torque allocation for in-wheel motor driven vehicle based on energy consumption optimization

doi:10.16511/j.cnki.qhdxxb.2019.22.041

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Abstract In-wheel motor driven vehicles can provide independent control of the driving torque to each wheel and easy access to feedback information. This paper presents a dynamic torque allocation method based on the torque vectoring control system of an in-wheel motor driven vehicle. The vehicle energy consumption is used as the objective function. Changes in the real-time capabilities of the motors and the driver's demands are used to build a constrained nonlinear optimization model. The optimization problem is decomposed into parts while the feasible torque space is discretized to resolve the contradiction between the constraint changes and the real-time requirement of the online optimization. A MATLAB/Simulink-Cruise simulation platform is used to verify the algorithm's feasibility and robustness for a new European driving cycle (NEDC) and an urban driving cycle. The simulations show that this method effectively reduces the vehicle energy consumption and has good fault tolerance.

Keywords in-wheel motor driven vehicle dynamic torque allocation energy consumption optimization torque feasible space

Issue Date: 15 January 2020

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	CHEN Hao
	YUAN Liangxin
	ZHENG Sifa
	LIAN Xiaomin

Cite this article:

CHEN Hao,YUAN Liangxin,ZHENG Sifa, et al. Dynamic torque allocation for in-wheel motor driven vehicle based on energy consumption optimization[J]. Journal of Tsinghua University(Science and Technology), 2020, 60(2): 132-138.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2019.22.041 OR http://jst.tsinghuajournals.com/EN/Y2020/V60/I2/132

[1] 余卓平, 冯源, 熊璐. 分布式驱动电动汽车动力学控制发展现状综述[J]. 机械工程学报, 2013, 49(8):105-114. YU Z P, FENG Y, XIONG L. Review on vehicle dynamics control of distributed drive electric vehicle[J]. Journal of Mechanical Engineering, 2013, 49(8):105-114. (in Chinese)
[2] KOEHLER S, VIEHL A, BRINGMANN O, et al. Improved energy efficiency and vehicle dynamics for battery electric vehicles through torque vectoring control[C]//2015 IEEE Intelligent Vehicles Symposium. Seoul, Republic of Korea, 2015:749-754.
[3] MURATA S. Innovation by in-wheel-motor drive unit[J]. Vehicle System Dynamics, 2012, 50(6):807-830.
[4] LI B, GOODARZI A, KHAJEPOUR A, et al. An optimal torque distribution control strategy for four-independent wheel drive electric vehicles[J]. Vehicle System Dynamics, 2015, 53(8):1172-1189.
[5] SHEN P, SUN Z, ZENG Y, et al. Study on power ratio between the front motor and rear motor of distributed drive electric vehicle based on energy efficiency optimization[R]. SAE Technical Paper. Warrendale, USA:SAE, 2016.
[6] CHEN Y, LI X D, WIET C, et al. Energy management and driving strategy for in-wheel motor electric ground vehicles with terrain profile preview[J]. IEEE Transactions on Industrial Informatics, 2014, 10(3):1938-1947.
[7] YANG Y P, SHIH Y C, CHEN J M. Real-time torque distribution strategy for an electric vehicle with multiple traction motors by particle swarm optimization[C]//2013 CACS International Automatic Control Conference. Nantou, China, 2013:233-238.
[8] 谷成, 刘浩, 陈辛波. 基于效率优化的四轮独立驱动电动车转矩分配[J]. 同济大学学报(自然科学版), 2015, 43(10):1550-1556. GU C, LIU H, CHEN X B. Torque distribution based on efficiency optimization of four-wheel independent drive electric vehicle[J]. Journal of Tongji University (Natural Science), 2015, 43(10):1500-1556. (in Chinese)
[9] 徐兴, 陈特, 陈龙, 等. 分布式驱动电动汽车转矩节能优化分配[J]. 中国公路学报, 2018, 31(5):183-190. XU X, CHEN T, CHEN L, et al. Optimized torque energy-saving allocation for distributed drive electric vehicle[J]. China Journal of Highway and Transport, 2018, 31(5):183-190. (in Chinese)
[10] 陈浩, 袁良信, 孙涛, 等. 电动轮汽车转矩矢量控制系统试验平台[J]. 清华大学学报(自然科学版), 2019, 59(2):162-168. CHEN H, YUAN L X, SUN T, et al. Test platform for a torque vectoring control system for in-wheel motor driven vehicles[J]. Journal of Tsinghua University (Science and Technology), 2019, 59(2):162-168. (in Chinese)
[11] CHEN J, SONG J, LI L, et al. A novel pre-control method of vehicle dynamics stability based on critical stable velocity during transient steering maneuvering[J]. Chinese Journal of Mechanical Engineering, 2016, 29(3):475-485.
[12] 司远. 四驱混合动力汽车能量管理优化策略研究[D]. 合肥:合肥工业大学, 2017. SI Y. Research on the optimization of 4WD hybrid electric vehicle energy management strategy[D]. Hefei, China:Hefei University of Technology, 2017. (in Chinese)
[13] 刘永刚, 李杰, 秦大同, 等. 基于多工况优化算法的混合电动汽车参数优化[J]. 机械工程学报, 2017, 53(16):61-69. LIU Y G, LI J, QIN D T, et al. Parameter optimization of hybrid electric vehicle based on multi-cycle optimization algorithm[J]. Journal of Mechanical Engineering, 2017, 53(16):61-69. (in Chinese)
[14] 李杰. 计及路况信息影响机理的插电式混合动力汽车能量管理策略研究[D]. 重庆:重庆大学, 2018. LI J. Study on energy management strategy of plug-in hybrid electric vehicles based on the influences of driving conditions[D]. Chongqing, China:Chongqing University, 2018. (in Chinese)