工况自适应电机控制器算法优化与实现

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中图分类号：U469.72 文献标识码：A 文章编号：1003-8639（2026）02-0007-04

Algorithm Optimization and Implementation ofMotor Controller with Adaptive Working Conditions

Li Chunyan （YunnanForestry Technological College，Kunming65O224，China）

【Abstract】With the continuous rise inthe penetration rate of the new energy vehicle market，the reliability and efciencyof thedrivesystem have increasingly becomethecore focus oftheindustry.Asthekeycomponentofthedrive system，the performance ofthemotor controler's controlalgorithm directlyafects the power performance，economy，and ride comfort of thevehicle under various operating conditions.In typical operating conditions commonlyencountered by new energyvehicles，suchaslow-speed high-load，high-speed cruising，and sudden acceleration/deceleration，the traditional vectorcontrol algorithm exhibits many prominent problems，includingobvious torquerippe，significantdecline insystem eficiency，and laging dynamic response，which severely restrict the improvement of vehicle performance and driving experience.To address these isses，this paper proposes a multi-mode adaptive control algorithm based on operatingconditionidentification，whichealizesdynamicadjustmentofcontrolstrategiesaccording tothecharacteristicsof diffrentoperatingconditions.Verifiedbybothsimulationanalysisandbenchtests，theoptimizedalgorithmcan ffectively smooth the motortorque output，significantlyreduce the iron lossandcopper lossof the motor，and greatly improve he comprehensive eficiencyof thedrive system.Meanwhile，it plays an importantrole in enhancing the ride comfortand dynamic responsivenessofthe vehicle，providing an efective solutionforthe upgading of new energyvehicledrive control technology.

【Keywords】 new energy vehicle; motor controller; control algorithm;operating condition;vector

0 引言

由电机、电机控制器和减速器构成的新能源汽车驱动系统，取代了传统内燃机汽车复杂的发动机和变速器总成，是车辆的“心脏”和“大脑”。（剩余5749字）