Hazard based modelling of electric vehicles charging patterns

Daina, Nicolò; Polak, John W.

doi:10.1109/itec-ap.2016.7513002

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…A fuzzy set A in the universal set X is represented by an ordered pair of its element and membership function µ A (x) as expressed in Eq. (1).…”

Section: B Preliminaries 1) the Fuzzy Setsmentioning

confidence: 99%

“…Electric vehicles are basically used as a mean of transportation while contributing to a wide range of economic and environmental benefits including better air quality and reduce dependence on oil-based fuels [1]. In recent years, pollution free environment and smart mobility services with non-fossil fuel vehicles are the major factors to support the growth of EVs.…”

Section: Introductionmentioning

confidence: 99%

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Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot

2019

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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. 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. 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. INDEX TERMS Electric vehicles, fast charging stations, fuzzy logic inference, parking lot, power management.

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“…A fuzzy set A in the universal set X is represented by an ordered pair of its element and membership function µ A (x) as expressed in Eq. (1).…”

Section: B Preliminaries 1) the Fuzzy Setsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot

2019

View full text Add to dashboard Buy / Rent full text

show abstract

“…E LECTRIC vehicles (EVs) powered by electricity from low carbon emission grids can provide significant benefits by reducing transportation impact on climate and grid's reliance on oil-based fuels. EVs provide a quiet and cleaner environment while reducing the operation and maintenance costs [1]. Plug-in electric vehicles (PEVs) which are an integration of battery and plug-in hybrid electric vehicles are key innovations to attain low-carbon transportation [2].…”

Section: Introductionmentioning

confidence: 99%

A Graph Automorphic Approach for Placement and Sizing of Charging Stations in EV Network Considering Traffic

Khiadani

Moghaddam

Bass

et al. 2020

IEEE Trans. Smart Grid

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This paper proposes a novel graph-based approach with automorphic grouping for the modelling, synthesis, and analysis of electric vehicle (EV) networks with charging stations (CSs) that considers the impacts of traffic. The EV charge demands are modeled by a graph where nodes are positioned at potential locations for CSs, and edges represent traffic flow between the nodes. A synchronization protocol is assumed for the network where the system states correspond to the waiting time at each node. These models are then utilized for the placement and sizing of CSs in order to limit vehicle waiting times at all stations below a desirable threshold level. The main idea is to reformulate the CS placement and sizing problems in a control framework. Moreover, a strategy for the deployment of portable charging stations (PCSs) in selected areas is introduced to further improve the quality of solutions by reducing the overshooting of waiting times during peak traffic hours. Further, the inherent symmetry of the graph, described by graph automorphisms, are leveraged to investigate the number and positions of CSs. Detailed simulations are performed for the EV network of Perth Metropolitan in Western Australia to verify the effectiveness of the proposed approach.

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Hazard based modelling of electric vehicles charging patterns

Cited by 6 publications

References 11 publications

Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot

Efficient Power Management Algorithm Based on Fuzzy Logic Inference for Electric Vehicles Parking Lot

A Graph Automorphic Approach for Placement and Sizing of Charging Stations in EV Network Considering Traffic

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