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双电机耦合驱动电动汽车驱动模式划分与优化
引用本文: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):424-430.
作者姓名:林歆悠  伍家鋆  魏申申
作者单位:福州大学机械工程及自动化学院,福州 350002;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;福州大学机械工程及自动化学院,福州 350002
基金项目: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);晋江市福州大学科教园区发展中心科研项目(2019-JJFDKY-10)资助。
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

Division and Optimization of Driving Modes of Electric Vehicles with Dual-motor Coupling-propulsion Powertrain
Lin Xinyou,Wu Jiayun,Wei Shenshen.Division and Optimization of Driving Modes of Electric Vehicles with Dual-motor Coupling-propulsion Powertrain[J].Automotive Engineering,2020,42(4):424-430.
Authors:Lin Xinyou  Wu Jiayun  Wei Shenshen
Institution:(College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350002;Key Laboratory of Advanced ManufactureTechnology for Automobile Parts(Chongqing University of Technology), Ministry of Education, Chongqing 400054)
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.
Keywords:battery electric vehicle  dual-motor coupling-propulsion powertrain  driving modes  particle swarm optimization algorithm  efficiency optimization
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