首页|期刊导航|重庆理工大学学报|考虑加速扭矩补偿的双电机转矩优化分配控制策略研究

考虑加速扭矩补偿的双电机转矩优化分配控制策略研究OA

Study on optimal torque distribution control strategy for dual motor considering acceleration torque compensation

中文摘要英文摘要

针对双电机驱动的纯电动汽车(battery electric vehicle,BEV)动力系统,提出一种转矩优化策略.通过分析系统架构构建整车动力传动系统模型及仿真平台,结合转矩优化目标,考虑驾驶意图和车辆状态信息,建立转矩优化策略,并开展仿真验证.结果表明,优化策略使 0~100 km/h加速时间缩短约 5.6%,在联邦测试工况(federal test procedure,FTP75)下前、后电机平均效率分别达到 75.58%和 76.86%,相比平均分配策略,电机平均效率提升约1.59%.同时,优化策略使电池荷电状态(state of charge,SOC)波动范围减小,能耗降低约 7.48%,百公里能耗降低约7.69%.本研究为双电机电动汽车的高效能量管理和转矩分配控制提供了理论支持和技术参考.

To improve the overall efficiency and driving performance of the dual-motor powertrain,this paper proposes a torque optimization strategy for the dual-motor drive system of electric vehicles.First,a vehicle powertrain model and simulation platform are built after an analysis of the system architecture.Considering the torque optimization objectives,driving intent,and vehicle state information,a torque optimization strategy is developed to enhance the vehicle's fuel economy and dynamic performance.Finally,simulation tests are conducted to assess its performances.Simulation results show the optimization strategy cuts the acceleration time from 0 km/h to 100 km/h by approximately 5.6%.Under the Federal Test Procedure(FTP75),the efficiency of the front and rear motors reaches 75.58%and 76.86%respectively,up by about 1.59%compared to the equal distribution strategy.Moreover,the optimization strategy exhibits less fluctuations in the battery State of Charge(SOC),reduces energy consumption by about 7.48%,and lowers the energy consumption for a distance of 100 km by approximately 7.69%.This research may provide some insights into efficient energy management and torque distribution control of dual-motor electric vehicles.

妥吉英;李俊;徐笑南;肖贵文;田文凯;刘梓林

重庆理工大学 汽车零部件先进制造技术教育部重点实验室,重庆 400054重庆理工大学 汽车零部件先进制造技术教育部重点实验室,重庆 400054重庆理工大学 汽车零部件先进制造技术教育部重点实验室,重庆 400054重庆理工大学 汽车零部件先进制造技术教育部重点实验室,重庆 400054重庆理工大学 汽车零部件先进制造技术教育部重点实验室,重庆 400054重庆理工大学 汽车零部件先进制造技术教育部重点实验室,重庆 400054

交通工程

双电机驱动转矩分配加速扭矩补偿粒子群优化算法(PSO)效率优化

dual-motor drivetorque distributionacceleration torque compensationparticle swarm optimization algorithmefficiency optimization

《重庆理工大学学报》 2026 (3)

61-69,9

重庆市基础科学与前沿技术研究专项课题(CSTC2020JCYJ-MSXMX0331)重庆市教育委员会科学技术研究计划青年项目(KJQN202101144)

10.3969/j.issn.1674-8425(z).2026.02.008

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