Fuzzy-based temperature and humidity control for HVAC of electric vehicle

B. S.K.K. Ibrahim, M. A.N. Aziah, S. Ahmad, R. Akmeliawati, H. M.I. Nizam, A. G.A. Muthalif, S. F. Toha, M. K. Hassan

Research output: Contribution to journalConference articlepeer-review

39 Citations (Scopus)
108 Downloads (Pure)


Vehicles are the people's main means of transportation and thermal comfort in the vehicle cabin plays an important role. The heating, ventilating, and air-conditioning (HVAC) operation system in the vehicle cabin decides the degree of comfort, traffic safety as well as health of the occupants. The challenge of designing the HVAC control is to automatically achieve the thermal comfort, regardless of time varying weather conditions. Since most HVAC systems are complex with nonlinearity, distributed parameters, and multivariable therefore many classical controls do not necessarily yield a satisfactory control performance. This paper presents the development of temperature and humidity control strategy for HVAC based on Fuzzy Logic Control (FLC). The goal of the FLC-based temperature control is to satisfy the convergence and equilibrium property. The simulation test results have been shown a satisfactory to control the temperature and humidity.

Original languageEnglish
Pages (from-to)904-910
Number of pages7
JournalProcedia Engineering
Publication statusPublished - 1 Jan 2012
Externally publishedYes
Event2nd International Symposium on Robotics and Intelligent Sensors 2012 - Kuching, Sarawak, Malaysia
Duration: 4 Sept 20126 Sept 2012
Conference number: 2nd

Bibliographical note

Open access under CC BY-NC-ND license.


  • Elctric vehicle
  • Fuzzy logic
  • Humidity
  • HVAC
  • Temperature

ASJC Scopus subject areas

  • Engineering(all)


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