双电机耦合驱动电动汽车驱动模式划分与优化*

doi:10.19562/j.chinasae.qcgc.2020.04.002

Abstract

Abstract: To give full play to the energy saving advantage of the multi-drive mode of an electric vehicle equipped with dual-motor coupling-propulsion powertrain (DMCP-EV), a driving mode control strategy based on optimal system efficiency is worked out. According to the configuration of DMCP, four driving modes are defined and their dynamic driving models and system efficiency model are established respectively. On the premise of meeting the requirements of power performance, the operation ranges of four driving modes are analyzed and divided. With the system efficiency as optimization objective, an optimization is conducted by using particle swarm optimization algorithm, and an optimal strategy for driving mode switching and torque distribution is obtained. Finally, a validation is performed by both Matlab/Simulink simulation and hardware-in-the-loop experiment. The results show that the driving mode with system efficiency optimized can effectively enhance the energy economy of DMCP-EV, with its energy consumption reducing by 11% while meeting the requirements of power performance

Key words: battery electric vehicle, dual-motor coupling-propulsion powertrain, driving modes, particle swarm optimization algorithm, efficiency optimization

Lin Xinyou, Wu Jiayun, Wei Shenshen. Division and Optimization of Driving Modes of Electric Vehicleswith Dual-motor Coupling-propulsion Powertrain[J].Automotive Engineering, 2020, 42(4): 425-430.

References

[1] 欧阳明高.我国节能与新能源汽车发展战略与对策[J].汽车工程,2006,28(4):317-321.
[2] CHAN C C. Outlook of electric,hybrid and fuel cell vehicles[J]. Automotive Safety and Energy,2011,2(1):12-24.
[3] 《中国公路学报》编辑部.中国汽车工程学术研究综述·2017[J].中国公路学报,2017,30(6):1-197.
[4] 王军年,刘德春,张运昌,等.双电机构型纯电动汽车节能潜力分析[J].吉林大学学报(工学版),2016,46(1):28-34.
[5] HU M, ZENG J, XU S, et al. Efficiencystudy of a dual-Motor coupling EV powertrain[J]. IEEE Transactions on Vehicular Technology,2015,64(6):2252-2260.
[6] HU J, ZHENG L, JIA M, et al. Optimization andmodel validation of operation control strategies for a novel dual-motor coupling-propulsion pure electric vehicle[J]. Energies,2018,11(4):754.
[7] ZHANG S, ZHANG C, HAN G, et al.Optimal control strategy design based on dynamic programming for a dual-motor coupling-propulsion system[J]. The Scientific World Journal,2014,2014:1-9.
[8] ZHANG S, XIONG R, ZHANG C. Pontryagin's minimum principle-based power management of a dual-motor-driven electric bus[J]. Applied Energy,2015,159:370-380.
[9] 胡明辉,陈爽,曾剑峰.双电机耦合系统驱动模式切换控制策略研究[J].机械工程学报,2017,53(15):59-67.
[10] MARINI F, WALCZAK B. Particle swarm optimization(PSO); a tutorial[J].Chemometrics and Intelligent Laboratory Systems,2015,149:153-165.
[11] 黄少荣.粒子群优化算法综述[J].计算机工程与设计,2009,30(8):1977-1980.
[12] 王钦普,杜恩宇,李亮,等.基于粒子群算法的插电式混合动力客车实时策略[J].机械工程学报,2017,53(4):77-84.
[13] 吴晓刚,王旭东,孙金磊,等.ISG型混合动力汽车粒子群优化模糊控制研究[J].公路交通科技,2011,28(6):146-152.
[14] YANG Y P, SHIH Y C, et al. Real-time torque distribution strategy for an electric vehicle with multiple traction motors by particle swarm optimization[C]. Taiwan:International Automatic Control Conference (CACS),2013.
[15] 林歆悠,王黎明,翟柳清.基于模式切换预估算法的DM-EV瞬时能耗最小控制策略[J].汽车工程,2019,41(1):14-20.

[1]	ZHOU Wei, ZHANG Cheng-Ning, LI Jun-Qiu. [J]. , 2016, 38(12): 1407 -1414 .
[2]	ZONG Yi-Qi, GU Zheng-Qi, LUO Ze-Min, JIANG Cai-Mao, ZHANG Qi-Dong, YANG Zhen-Dong. [J]. , 2016, 38(12): 1427 -1433 .
[3]	ZHANG Ying-Chao, ZHAN Da-Peng, ZHAO Jing, ZHANG Zhe, LI Jie. [J]. , 2016, 38(12): 1434 -1439 .
[4]	TANG You-Ming, YAN Ling-Bo, LUO Qian, CAO Li-Bo. [J]. , 2016, 38(12): 1452 -1458 .
[5]	ZHANG Lei, LU Jian-Wei, JIANG Jun-Zhao, YAN Pei-Lei, LI Lei. [J]. , 2016, 38(12): 1477 -1482 .
[6]	ZHAO Liang, ZHANG Qiang, GUO Kong-Hui. [J]. , 2017, 39(1): 86 -91 .
[7]	SHEN Deng-Feng, WANG Chen, YU Hai-Sheng, ZHANG Tong, YI Xian-Ke. [J]. , 2017, 39(1): 15 -22 .
[8]	ZOU Tie-Fang, HU Lin, LI Ping-Fan, YI Liang. [J]. , 2017, 39(1): 41 -46 .
[9]	ZHOU Kai, ZANG Jing-Lun. [J]. , 2017, 39(2): 127 -132 .
[10]	ZUO Wen-Jie, CHEN Ji-Shun, LI Yi-Wen, LIU Nian. [J]. , 2017, 39(2): 145 -149 .

Division and Optimization of Driving Modes of Electric Vehicleswith Dual-motor Coupling-propulsion Powertrain

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