智能汽车驱动系统的多维协同优化研究

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中图分类号：U463.5 收稿日期：2025-11-17 DOI:10.19999/j.cnki.1004-0226.2026.04.006

Research on Multidimensional Collaborative Optimization of Intelligent Vehicle Drive Systems

Li Zheming Huo Junyang

SchoolofAutomotiveEngineering,NanyangVocationalCollegeofScienceandTechnologyDengzhou4745,Cina

Abstract:Amultidimensionalcolaborativeotimizationframeworkofmotortransmisioncontrolwasconstructedtoaddresste issuesflowenergyeciencyndelayedpowerresponseinintellgentvehicledivesystems.Athreemotorcollaborativecontrolalgo rithmwasdesignedbyestablishingadynamicmodelofthedrivesystemandtestedonrealvehiclesinurbanconditions.Theexperimentalresults showed that the optimized system's comprehensive energy efficiency increased by 18.7% ,the power response time was shortenedby 42.3% ，and the torque distribution accuracywas improved to 95.6% .Under rapid acceleration conditions,the front and rear axletorque collaborative control increased vehicle stability by 34.2% ，and the energy recovery efficiency reached 89.4% .Multi dimensionalcolaborativeotimizationsignicantlyimproves tedynamicperformaneandeergyutizationeciencyoftedrivesystempro viding technical support for the design of intelligent automotive power systems.

Keywords:Smartcars;Drivesystem;Multidimensionalcolaboration;Energyeficiencyoptimization;Torquedistribution

1前言

电动化与智能化的深度融合推动了汽车驱动系统向多电机分布式架构演进，传统单电机驱动方式已无法满足复杂工况下的动力需求，多电机驱动系统虽提供了更大的控制自由度，但各动力单元间的耦合作用导致能效损失严重，动力响应特性难以协调。（剩余7238字）