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多轴电驱动车辆驱动力优化分配策略
引用本文:乔帅鹏,胡明辉,曹开斌,傅春耘.多轴电驱动车辆驱动力优化分配策略[J].重庆大学学报(自然科学版),2021,44(6):31-42.
作者姓名:乔帅鹏  胡明辉  曹开斌  傅春耘
作者单位:重庆大学 汽车工程学院,重庆 400044;重庆大学 机械传动国家重点实验室,重庆 400044;重庆大学 汽车工程学院,重庆 400044;重庆大学 机械传动国家重点实验室,重庆 400044
基金项目:国家重点研发计划项目(2018YFB0106100);重庆市科技重大主题专项重点研发项目(CSTC2018JSZX-CYZTZXX0007)。
摘    要:为提高某型多轴电驱动车辆的经济性,提出了一种最优驱动力分配控制策略.以电驱动系统效率最优为核心,对驱动转矩的分配进行离线优化,生成可在线应用的驱动模式表,通过查表插值可以确定驱动轴数,再根据整车轴荷动态分布情况,确定具体驱动轴,以充分利用地面附着力;利用Matlab/Simulink搭建整车后向仿真模型,在调整的世界重型商用车循环工况上进行仿真分析.结果表明,采用最优驱动转矩分配控制策略,相对驱动转矩平均分配控制策略和基于轴荷比分配转矩控制策略,经济性分别提升了9.18%和6.12%.

关 键 词:多轴电驱动  驱动力优化  轴荷  能耗  仿真分析
收稿时间:2019/12/12 0:00:00

Optimal driving force distribution strategy for multi-axle electric vehicles
QIAO Shuaipeng,HU Minghui,CAO Kaibin,FU Chunyun.Optimal driving force distribution strategy for multi-axle electric vehicles[J].Journal of Chongqing University(Natural Science Edition),2021,44(6):31-42.
Authors:QIAO Shuaipeng  HU Minghui  CAO Kaibin  FU Chunyun
Institution:School of Automotive Engineering, Chongqing University, Chongqing 400044, P. R. China;State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, P. R. China;School of Automotive Engineering, Chongqing University, Chongqing 400044, P. R. China
Abstract:To improve the economy of a multi-axle electric vehicle, an optimal driving force distribution control strategy is proposed in this paper. The drive torque distribution is optimized offline to achieve optimal efficiency of the drive system, and then a drive mode table for online application is generated. Through table interpolation, the number of active driving axles and the specific driving axles to be activated is determined based on the instantaneous axle loads so as to make full use of the ground adhesion. A backward simulation model is established using MATLAB/Simulink, and simulation analyses are carried out under the adapted world transient vehicle cycle working condition. The simulation results show that the proposed optimal driving force distribution control strategy improves energy consumption by 9.18% compared with the average torque distribution control strategy and by 6.12% compared with the axle load ratio based control strategy.
Keywords:multi-axle electric vehicle  driving force distribution  axle load  energy consumption  simulation analyses
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