INTELLIGENT SOLAR-POWERED EV CHARGING SYSTEM WITH NEURAL NETWORK CONTROL FOR BIDIRECTIONAL G2V AND V2G OPERATIONS

Authors:

1Dr .B .Suresh Kumar, 2Chettaboina Nelson Ramaswamy, 3Enugula Abhiram Siddik, 4Tankari John Kennedy Paul,

Page No: 444-452

Abstract:

This paper presents solar based electric vehicle (EV) charging circuit. Incremental Conductance MPPT Algorithm is used to extract maximum power from the solar PV at STC conditions. A battery of rating 100AH is charged with the solar PV panel using a boost converter which generates output voltage of 400V. Then the voltage is stepped down for buck operation according to 220 V battery requirement. The SOC characteristic is observed to be fully charged within short period. The passive parameters (filter components on the input and output) of the system are derived and appropriately used in the work. Also in the absence of solar PV energy, electric vehicle is charged from the grid. A PR (proportional plus resonant) controller is used with a corner frequency of 10rad/sec. A 400 V dc output voltage is obtained through a H-bridge rectifier and applied to a DC-DC bidirectional converter. It is observed that the battery SOC is accomplished within a small period. During charging and discharging modes the battery voltage and current is presented. It is clear that the grid voltage and current are in phase during charging. During discharging they are said to be out of phase indicating the reverse power flow. IGBT switches are considered to be operating at 10 kHz. On-board electric vehicle chargers can be utilized at homes and parking places. The work reflects the usage of EV connected to solar exhibits less dependency on the grid with clean (zero emission) and smooth movement of the vehicle.

Description:

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Volume & Issue

Volume-14,Issue-4

Keywords

INDEX TERMS— Battery, Electric vehicle, maximum power point, proportional resonant controller, State of Charge.

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