The intelligent temperature control for electric vehicle A/C cooling subsystem

Cheng Kuang Huang; Ming Huei Chu; Yew Khoy Chuah; Yi Wei Chen; Yi Sheng Chung

The intelligent temperature control for electric vehicle A/C cooling subsystem

Cheng Kuang Huang^*
, Ming Huei Chu
, Yew Khoy Chuah
, Yi Wei Chen
, Yi Sheng Chung

^*Corresponding author for this work

Tun Gnan University
National Taipei University of Technology

Research output: Contribution to conference › Conference Paper › peer-review

Abstract

This paper is to investigate the intelligent method to control the evaporative cooler temperature for automobile which air conditioning (A/C) compressor driven by electric motor. Generality, fuel vehicle A/C system is driven by engine; the speed of engine is not constant, the refrigeration cycle has many disturbances from environment and load is time varying, but its control method is usually ON/OFF control, these cause setting temperature to be drifting. For battery electric vehicle (BEV), it must be driven by electric motor, we control the speed of automobile compressor with model reference neural network control method, it controls the temperature of A/C subsystem indirectly. With simulation result, the intelligent method is better than ON/OFF control.

Original language	English
State	Published - 2014
Externally published	Yes
Event	7th Asian Conference on Refrigeration and Air Conditioning, ACRA 2014 - Jeju Island, Korea, Republic of Duration: 18 05 2014 → 21 05 2014

Conference

Conference	7th Asian Conference on Refrigeration and Air Conditioning, ACRA 2014
Country/Territory	Korea, Republic of
City	Jeju Island
Period	18/05/14 → 21/05/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Cite this

@conference{f23f9a8af27e4b3e993a43106f661546,

title = "The intelligent temperature control for electric vehicle A/C cooling subsystem",

abstract = "This paper is to investigate the intelligent method to control the evaporative cooler temperature for automobile which air conditioning (A/C) compressor driven by electric motor. Generality, fuel vehicle A/C system is driven by engine; the speed of engine is not constant, the refrigeration cycle has many disturbances from environment and load is time varying, but its control method is usually ON/OFF control, these cause setting temperature to be drifting. For battery electric vehicle (BEV), it must be driven by electric motor, we control the speed of automobile compressor with model reference neural network control method, it controls the temperature of A/C subsystem indirectly. With simulation result, the intelligent method is better than ON/OFF control.",

author = "Huang, \{Cheng Kuang\} and Chu, \{Ming Huei\} and Chuah, \{Yew Khoy\} and Chen, \{Yi Wei\} and Chung, \{Yi Sheng\}",

year = "2014",

language = "英语",

note = "7th Asian Conference on Refrigeration and Air Conditioning, ACRA 2014 ; Conference date: 18-05-2014 Through 21-05-2014",

}

TY - CONF

T1 - The intelligent temperature control for electric vehicle A/C cooling subsystem

AU - Huang, Cheng Kuang

AU - Chu, Ming Huei

AU - Chuah, Yew Khoy

AU - Chen, Yi Wei

AU - Chung, Yi Sheng

PY - 2014

Y1 - 2014

N2 - This paper is to investigate the intelligent method to control the evaporative cooler temperature for automobile which air conditioning (A/C) compressor driven by electric motor. Generality, fuel vehicle A/C system is driven by engine; the speed of engine is not constant, the refrigeration cycle has many disturbances from environment and load is time varying, but its control method is usually ON/OFF control, these cause setting temperature to be drifting. For battery electric vehicle (BEV), it must be driven by electric motor, we control the speed of automobile compressor with model reference neural network control method, it controls the temperature of A/C subsystem indirectly. With simulation result, the intelligent method is better than ON/OFF control.

AB - This paper is to investigate the intelligent method to control the evaporative cooler temperature for automobile which air conditioning (A/C) compressor driven by electric motor. Generality, fuel vehicle A/C system is driven by engine; the speed of engine is not constant, the refrigeration cycle has many disturbances from environment and load is time varying, but its control method is usually ON/OFF control, these cause setting temperature to be drifting. For battery electric vehicle (BEV), it must be driven by electric motor, we control the speed of automobile compressor with model reference neural network control method, it controls the temperature of A/C subsystem indirectly. With simulation result, the intelligent method is better than ON/OFF control.

UR - https://www.scopus.com/pages/publications/84928143211

M3 - 论文

AN - SCOPUS:84928143211

T2 - 7th Asian Conference on Refrigeration and Air Conditioning, ACRA 2014

Y2 - 18 May 2014 through 21 May 2014

ER -

The intelligent temperature control for electric vehicle A/C cooling subsystem

Abstract

Conference

UN SDGs

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