摘要
针对汽车空调系统在动态场景下的温度响应滞后与能耗问题,文章对智能温控技术的实现逻辑进行分析,主要包括全域环境感知、智能决策引擎及神经网络预测控制等方面。同时对能效优化路径进行探讨,如压缩机组智能驱动、余热回收与热泵集成等,以便能为提升驾乘体验与能源效率提供技术参考。
Aiming at the temperature response lag and energy consumption issues of automotive air conditioning systems in dynamic scenarios,this article analyzes the implementation logic of intelligent temperature control technology,mainly including aspects such as global environmental perception,intelligent decision engine,and neural network predictive control.At the same time,it discusses the energy efficiency optimization paths,such as intelligent drive of compressor units,waste heat recovery,and integration of heat pumps.So as to provide technical references for improving the driving and riding experience and energy efficiency.
作者
张亚军
Zhang Yajun(Laboratory and Equipment Management Department,Zhengzhou University of Science and Technology,Zhengzhou 450000,China)
出处
《汽车电器》
2025年第8期143-145,共3页
Auto Electric Parts
关键词
智能温控
汽车空调
能效优化
控制系统
神经网络
intelligent temperature control
automobile air conditioning
energy efficiency optimization
control system
neural network
