Developmens of alternative systems for automotive air conditioning - A review

Bentrcia, Mohamed; Alshitawi, Mohammed; Omar, Hanafy M.

doi:10.1007/s12206-018-0342-2

Cited by 24 publications

(3 citation statements)

References 13 publications

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“…Automotive air conditioning technology has been developed for nearly 70 years since the 1950s, when General Motors first designed and installed the first integrated heating and cooling air conditioner in a car in the United States (Sharif et al, 2017;Bentrcia et al, 2018;Wang et al, 2020). During this period, although the components within the automotive air conditioning system have been continuously updated, its entire system based on mechanical compression for cooling and the use of waste heat from fuel vehicles for heating has remained almost unchanged (Ahn et al, 2016;Kalinichenko et al, 2018;Lee et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Intelligent control system for the electric vehicle heat pump air conditioner based on machine learning

Ze-hua

2023

Front. Energy Res.

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In order to break through the existing battery technology of electric vehicles, this paper proposes to use heat pump air conditioning instead of the original PTC heating system potential. First, the advantages and disadvantages of different heat pump models for new energy vehicles are analyzed and compared. Second, a fuzzy inference system is constructed based on the machine learning model to observe the temperature of the passenger compartment using the temperature sensor inside the tram and to determine the need for the air conditioning system to be turned on in the heating/cooling mode by comparing it with the set temperature. Finally, the results show that the machine learning algorithm is able to monitor and adaptively adjust the interior temperature to further enhance the adaptability of the system with low volatility and high accuracy. The proposed research study can lay the foundation for further optimizing the design of heat pump air conditioners for electric vehicles.

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Section: Introductionmentioning

confidence: 99%

Intelligent control system for the electric vehicle heat pump air conditioner based on machine learning

Ze-hua

2023

Front. Energy Res.

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“…Improving the design of climate control systems can be a cost-effective solution to reduce the fuel consumption associated with cooling vehicle passenger compartments [27]. In fact, about 30% of the total fuel consumption of a vehicle is attributed to the A/C system's operation [28]. In the United States, cooling vehicle passenger compartments consumes approximately 26 billion liters of fuel each year, highlighting the potential for significant cost savings through improved climate control system design [29].…”

Section: Introductionmentioning

confidence: 99%

Improving Automotive Air Conditioning System Performance Using Composite Nano-Lubricants and Fuzzy Modeling Optimization

Alahmer

Ghoniem

2023

Sustainability

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This study aims to enhance the effectiveness of automobile air conditioning (AAC) systems through the use of composite nano-lubricants and fuzzy modeling optimization techniques. Composite nano-lubricants, which consist of varied metal oxide ingredients and content ratios, are projected to surpass single-component nano-lubricants in terms of improving the performance of AAC systems. Fuzzy modeling is used to simulate the AAC system based on experimental data using three input parameters: volume concentration of nano-lubricants (%), the refrigerant charge (g), and compressor speed (rpm). The output performance of the AAC system is measured using four parameters: cooling capacity (CC) in kW, compressor work (CW) in kJ/kg, coefficient of performance (COP), and power consumption (PC) in kW. Optimization is performed using the marine predators algorithm (MPA) to identify the best values for the input control parameters. The objective function is to minimize CW, COP, and PC while simultaneously maximizing CC and COP. Results showed that the performance of the AAC system improved from 85% to 88% compared to the experimental dataset, highlighting the potential benefits of using composite nano-lubricants and fuzzy modeling optimization for improving the energy efficiency of AAC systems. Furthermore, a comprehensive comparison with ANOVA was performed to demonstrate the superiority of the fuzzy modeling approach. The results indicate that the fuzzy model outperforms ANOVA, as evidenced by a reduced root mean square error (RMSE) for all data, from 0.412 using ANOVA to 0.0572 using fuzzy. Additionally, the coefficient of determination for training increased from 0.9207 with ANOVA to 1.0 with fuzzy, further substantiating the success of the fuzzy modeling phase.

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“…Moreover, extensive research conducted by the international institute of refrigeration depict that airconditioning, as well as refrigeration, consumes approximately 15% of the generated total electricity across the globe and in addition, contribute significantly to emission owing to the utilization of refrigerants, namely, HCFC, CO 2 , and CFCs, which exhibits pretty harmful effect on the environment and thus contribute to global warming. Additionally, it is imperative to highlight that the utilization of fuel equally increases during air-conditioning in vehicles, and this exhibit a significant effect on the vehicle's efficiency [4]. Hence, it is imperative to put forward an effective technology or control mechanism to ensure that the vehicle's window is automatically well closed to minimize fuel consumption during air conditioning or when the air conditioner is in the operational state.…”

Section: Introductionmentioning

confidence: 99%

Microcontroller Integration in an Automated Power Window Circuit System for Automobile Air Conditioning

Ansah¹,

Eduku²,

Maclar³

2023

IJETAE

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Research depicts that vehicular accident is inevitable, especially during long-distance driving journeys due to occurrence such as dehydration and discomfort owing to the inadequate or poor operating performance of car airconditioning systems which can result in loss of the driver’s attention on the road. However, the aforementioned research gap or problem needs to be addressed to ensure the efficient operation of the car air-conditioning system to avert vehicular accidents. Hence, the goal of this research is to utilize a microcontroller to automatically control the car airconditioning system to ensure enhanced operating performance. Moreover, the key merit of this research is to assist drivers by preventing them from losing attention on the road due to a phenomenon such as dehydration and discomfort, especially, during long-distance driving journeys, which can cause vehicular accidents. Besides, another imperative component of this research is to automatically control, thus closing the vehicle’s window louvre once the air conditioner is in operation or turned on to ensure efficient utilization of energy (fuel) of the vehicle and ensure that the ambience in the vehicle is pretty comfortable for the passengers on board. The automated power window system is comprehensively verified by the proteus software. Nonetheless, the results via the simulation depict that the automated power window circuit considered in this paper can effectively and automatically close the vehicle’s window louvre once the air conditioner is turned on.

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Developmens of alternative systems for automotive air conditioning - A review

Cited by 24 publications

References 13 publications

Intelligent control system for the electric vehicle heat pump air conditioner based on machine learning

Intelligent control system for the electric vehicle heat pump air conditioner based on machine learning

Improving Automotive Air Conditioning System Performance Using Composite Nano-Lubricants and Fuzzy Modeling Optimization

Microcontroller Integration in an Automated Power Window Circuit System for Automobile Air Conditioning

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