Chonbuk National University Reports Findings in Engineering (Efficient Power Management Algorithm Based On Fuzzy Logic Inference for Electric Vehicles Parking Lot)
- July 10, 2019
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2019 JUL 09 (NewsRx) -- By a News Reporter-Staff News Editor at South Korea Daily Report -- Data detailed on Engineering have been presented. According to news reporting originating in Jeonju, South Korea, by NewsRx journalists, research stated, “Smart grid is expected to support electric vehicles parking lots with the existing power line infrastructure. In order to support all electric-vehicles (EVs) users to complete their charging needs before leaving the parking lot, the power grid requires that the charging demands of EVs should be within the allowable power limit to avoid the grid overloading.”
Financial support for this research came from National Research Foundation of Korea (NRF), Korea Government.
The news reporters obtained a quote from the research from Chonbuk National University, “This paper proposes a fuzzy logic inference based algorithm (FLIA) to manage the available power efficiently for EVs in the parking lot. The problem is mathematically formulated and solved by the credibility of the fuzzy inference mechanism to control charging and discharging of the EVs. The key idea is to introduce the fuzzy inference mechanism that evaluates several uncertain input parameters from the electric grid and from EVs to obtain an adequately accurate charging or discharging decision for each of the connected EVs. The proposed scheme is applied to a parking lot with different parking capacities and compared with the conventional-based systems.”
According to the news reporters, the research concluded: “The simulation results demonstrated the feasibility and effectiveness of the proposed algorithm when dealing with the available power management and satisfying the EV user’s requirements.”
For more information on this research see: Efficient Power Management Algorithm Based On Fuzzy Logic Inference for Electric Vehicles Parking Lot. IEEE Access, 2019;7():65467-65485. IEEE Access can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA.
Our news correspondents report that additional information may be obtained by contacting Y.C. Kim, Chonbuk National University, Dept. of Computer Engineering, Jeonju 54896, South Korea. Additional authors for this research include S. Hussain and M.A. Ahmed.
The direct object identifier (DOI) for that additional information is: https://doi.org/10.1109/ACCESS.2019.2917297. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.
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