基于驾驶行为数据的电机效率优化策略研究

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中图分类号：U463.6 文献标识码：A 文章编号：1003-8639（2025）10-0109-03

【Abstract】With the rapid development of new energy vehicle industry， motor energy eficiency optimization has become thecore link to improve vehicle range and energy utilization.The current motor control strategy focuses on hardware performance improvement and static working condition optimization，ignoringthe deep impactof dynamic diffrences indriving behavioron motor operating eficiency.Drivers‘acceleration habits，braking frequencyand cruise stabilityandotheroperating characteristics directlydetermine the distributionratioof motoroperating points inthe high energy consumption zone and high eficiency zone.However，thedynamic mapping relationship betweendriving behavior and motor efficiency zones has not been systematicaly applied in existing energy eficiency management systems. Therefore，this paper discusses the driving behavior data-driven motor efficiency optimization strategy，through he establishmentof a mapping model between driving behavior paterns and motor energy consumption，designing adaptive control algorithms，and constructing a "human-vehicle-road"collaborative real-timeenergy eficiency enhancement scheme，which provides anew method forthe optimizationof the dynamic energy eficiencyof new energyvehicles.

【Key words】driving behavior data;motor efficiency;optimization strategy；energy managemenl

0 引言

交通领域低碳化转型背景下，电机能效优化对新能源汽车可持续发展至关重要。（剩余3936字）