一种压缩机电耗预测方法、系统、设备及介质
By calculating the compressor's discharge pressure, intake pressure, and speed, and combining this with a benchmark model to predict the compressor's power consumption, the problem of insufficient generalization ability of the AHRI ten-coefficient model was solved. This enabled power consumption prediction under different compressor types and refrigerant conditions, improving the development efficiency and range stability of air conditioning systems for new energy vehicles.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG SMART INTELLIGENCE TECH CO LTD
- Filing Date
- 2025-11-10
- Publication Date
- 2026-07-17
AI Technical Summary
The existing AHRI ten-coefficient model relies on measured data of specific compressors, has weak generalization ability, and cannot be applied to automotive volumetric compressors with different displacements, speeds, structures, and refrigerants. Furthermore, it cannot predict power consumption in the early stages of compressor development and selection.
By obtaining the discharge pressure, suction pressure, and speed of the target compressor, the system evaporation temperature, condensation temperature, pressure difference correction coefficient, and speed correction coefficient are calculated. Combined with the ten-coefficient power consumption model of the benchmark compressor, the power consumption is predicted using volumetric efficiency, isentropic efficiency, and displacement correction coefficient.
It enables accurate power consumption prediction under different compressor types and refrigerant conditions, improves the development efficiency of vehicle thermal management, reduces model development and application costs, supports the rapid development of air conditioning systems for new energy vehicles, and enhances range stability and user experience.
Smart Images
Figure CN121246488B_ABST