Research on Control of Electric Vehicle Heat Pump Air Conditioning System Based on Powered K-Means Clustering

Through the development of the electric vehicle industry, there is a rising demand for improved interior comfort. The heat pump air conditioning system plays an important part in achieving this, designing its performance optimization and control increasingly important. An important aim of this research is to reduce the power consumption under the premise of meeting load demands by proposing Powered K-Means Clustering (PKMC) approach. This research initially estimates the working principle of heat pump air conditioning system of electric vehicles and describes the complexity of its temperature control. An introduced optimal control approach for the frequency-variable heat pump AC system in terms of PKMC which offered a vigorous basis for an intelligent control of AC systems. The experimental results demonstrates that the proposed PKMC approach attains the compressor energy consumption of 83.43 kJ on deforest mode of high-pressure hot gas. The introduced framework lay the development for further enhancing a design of heat pump air conditioners for electric vehicles.

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Publication Details

Published
2025-07-25
DOI
https://doi.org/10.1109/icdsns65743.2025.11168627
Citations
1
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

Research on Control of Electric Vehicle Heat Pump Air Conditioning System Based on Powered K-Means Clustering

Chuice Chen
1 citations
Advanced Sensor and Control Systems
1.21
article

Research on Control of Electric Vehicle Heat Pump Air Conditioning System Based on Powered K-Means Clustering

Chuice Chen
article en
1 citations

Abstract

Through the development of the electric vehicle industry, there is a rising demand for improved interior comfort. The heat pump air conditioning system plays an important part in achieving this, designing its performance optimization and control increasingly important. An important aim of this research is to reduce the power consumption under the premise of meeting load demands by proposing Powered K-Means Clustering (PKMC) approach. This research initially estimates the working principle of heat pump air conditioning system of electric vehicles and describes the complexity of its temperature control. An introduced optimal control approach for the frequency-variable heat pump AC system in terms of PKMC which offered a vigorous basis for an intelligent control of AC systems. The experimental results demonstrates that the proposed PKMC approach attains the compressor energy consumption of 83.43 kJ on deforest mode of high-pressure hot gas. The introduced framework lay the development for further enhancing a design of heat pump air conditioners for electric vehicles.

Hainan Agricultural School (CN)
Openalex Percentile: Top 16%
Advanced Sensor and Control Systems
1.21
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