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

汽车工程 ›› 2020, Vol. 42 ›› Issue (4): 425-430.doi: 10.19562/j.chinasae.qcgc.2020.04.002

双电机耦合驱动电动汽车驱动模式划分与优化^*

林歆悠^1,2, 伍家鋆¹, 魏申申¹

1.福州大学机械工程及自动化学院,福州 350002;
2.汽车零部件先进制造技术教育部重点实验室(重庆理工大学),重庆 400054)

出版日期:2020-04-25 发布日期:2020-05-12
通讯作者: 林歆悠,副教授,工学博士,E-mail:linxinyoou@fzu.edu.cn
基金资助:
*国家自然科学基金(51505086)、汽车零部件先进制造技术教育部重点实验室开放课题基金(2019KLMT06)、CAD/CAM福建省高校工程研究中心(K201710)和晋江市福州大学科教园区发展中心科研项目(2019-JJFDKY-10)资助。

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

Lin Xinyou^1,2, Wu Jiayun¹ & Wei Shenshen¹

1.College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350002;
2.Key Laboratory of Advanced Manufacture
Technology for Automobile Parts(Chongqing University of Technology), Ministry of Education, Chongqing 400054

Online:2020-04-25 Published:2020-05-12

摘要/Abstract

摘要： 为充分发挥一款双电机耦合驱动系统电动汽车(DMCP-EV)多驱动模式的节能优势,制定了基于系统效率最优的驱动模式控制策略。根据该双电机耦合驱动系统的结构特点,定义了电机4种驱动模式并分别建立其动力学驱动模型和系统效率模型。在满足动力性要求的前提下,分析并划分了各驱动模式的工作范围,以系统效率为优化目标,采用粒子群优化算法进行优化,获得最佳的驱动模式切换控制和转矩分配策略。开展了Matlab/Simulink仿真和硬件在环试验验证。结果表明,经系统效率优化的驱动模式在满足动力性要求的前提下,有效提高了双电机耦合驱动系统的经济性,能耗降低11%。

关键词: 纯电动汽车, 双电机耦合驱动系统, 驱动模式, 粒子群优化算法, 效率优化

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

林歆悠, 伍家鋆, 魏申申. 双电机耦合驱动电动汽车驱动模式划分与优化^*[J]. 汽车工程, 2020, 42(4): 425-430.

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.

参考文献

[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.

双电机耦合驱动电动汽车驱动模式划分与优化^*

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

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 10

[1]	张鹏博, 陈仁祥, 邵毅明, 孙世政, 闫凯波. 纯电动汽车电驱动系统故障诊断研究进展[J]. 汽车工程, 2024, 46(1): 61-74.
[2]	朱成,刘頔,滕欣余,张国华,于丹,刘沙,胡苧丹. 新能源汽车综合经济性对比分析及预测研究[J]. 汽车工程, 2023, 45(2): 333-340.
[3]	李学良,赵志福,杨树军,彭增雄. 双电机耦合驱动系统构型分层设计方法[J]. 汽车工程, 2023, 45(10): 1897-1907.
[4]	林歆悠,黄强,张光吉. 基于PSO的新型双电机多模式驱动系统转矩分配策略优化[J]. 汽车工程, 2022, 44(8): 1218-1225.
[5]	程夕明,胡薇,翟钧,罗荣华,张盼,徐野. 纯电动汽车低压电气系统效率研究[J]. 汽车工程, 2022, 44(4): 601-608.
[6]	刘长钊,张铁,宋健,尹显颂,葛帅帅. 纯电动汽车电驱动系统耦合动力学研究[J]. 汽车工程, 2022, 44(12): 1896-1909.
[7]	殷学冰,陈勇,代青林,刘海,田乃利,贺伯林. 基于NSGA-Ⅱ算法和模糊控制的纯电动汽车2DCT换挡规律研究[J]. 汽车工程, 2022, 44(10): 1571-1580.
[8]	常九健,张煜帆. 基于EMB的纯电动汽车制动能量回收优化控制策略研究[J]. 汽车工程, 2022, 44(1): 64-72.
[9]	杨宁康,韩立金,刘辉,张欣. 基于效率优化的混合动力车辆强化学习能量管理策略研究[J]. 汽车工程, 2021, 43(7): 1046-1056.
[10]	刘志超,郑天雷,龚慧明,保翔,纪梦雪. 基于中国工况的纯电动乘用车续驶里程评价方法研究[J]. 汽车工程, 2021, 43(5): 705-712.
[11]	陈龙,陈智星,徐兴,王峰,蔡英凤,张涛. 考虑发动机起停优化的PHEV能量管理策略[J]. 汽车工程, 2021, 43(3): 313-322.
[12]	黄伟,张桂连,周登辉,胡林. 基于能量流分析的纯电动汽车电耗优化研究[J]. 汽车工程, 2021, 43(2): 171-180.
[13]	邱彬,禹如杰,刘勇,赵冬昶,宋健. 基于学习率的纯电动与燃料电池汽车分场景经济性比较研究[J]. 汽车工程, 2021, 43(2): 296-304.
[14]	田慧欣, 李晓宇, 刘芳. 基于地图信息和循环SVR模型的纯电动汽车续驶里程预测^*[J]. 汽车工程, 2020, 42(9): 1174-1182.
[15]	徐建全, 杨沿平. 纯电动汽车与传统汽车轻量化全生命周期多目标优化研究^*[J]. 汽车工程, 2019, 41(8): 885-891.