Research on Fuzzy Control Strategy of Heating Condition Based on Electric Vehicle Heat Pump Air Conditioner

Lin, Xiao; Wang, Longjie; Zhao, Chenlei; Luo, Xiangfeng; Bao, Feng

doi:10.54097/ajst.v3i3.2932

Cited by 1 publication

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“…The fuzzy control strategy and the heat pump air-conditioning system model were analyzed by Lin et al (2022). The indoor temperature adjustment of the electric vehicle was analyzed when the ambient temperature is 0 ℃ and the humidity is 40% in winter, and the heat pump air-conditioning heating mode was used under three vehicle speed conditions.…”

Section: Introductionmentioning

confidence: 99%

Energy efficient smart home heating system using renewable energy source with fuzzy control design

Simon,

Róbert Sánta

2023

Decis. Mak. Appl. Manag. Eng.

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This research article presents an energy- efficient smart home heating system that uses a renew-able energy source and incorporates fuzzy control design. The objective of the study is to design a heating system that optimizes energy consumption while providing a comfortable indoor temperature. The main methods used in the study include the integration of a renewable energy source, such as solar energy or geothermal energy, with a fuzzy control system that adjusts the heating power based on indoor and outdoor temperature, humidity, and occupancy. The main results of the study show that the proposed heating system can reduce energy consumption by up to 40% compared to conventional heating systems, while maintaining a comfortable indoor temperature. The fuzzy control system provides precise control of the heating power and ensures efficient use of the renewable energy source. The main conclusion of the article is that the proposed smart home heating system is a viable solution for reducing energy consumption and promoting a sustainable lifestyle, especially in areas with abundant renewable energy sources.

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Section: Introductionmentioning

confidence: 99%