A Unified Control of Grid-Interactive Off-Board EV Battery Charger with Improved Power Quality

Also Available Domains Power Quality

Project Code :TEPGED168

Objective

The main objective of this project is to design a multifunctional EV charging infrastructure with G2V, V2G, C4G, and V2L operation modes by using STF and SMC-DLVC based control algorithm.

Abstract

In this project, a self-tuning filter (STF) and sliding mode control (SMC) based control algorithm for a grid interactive off-board electric vehicle (EV) battery charger to power the EV batteries and simultaneously improve the grid power quality. In grid-connected operation (GCO), the charger uses the STF based control strategy to estimate the fundamental load current and synchronizing voltage templates to generate a pure sinusoidal reference current. Compared to phase-locked-loop (PLL) and second-order generalized integrator (SOGI), the STF based technique precisely estimates the synchronizing voltage templates during non-ideal grid voltage conditions. Therefore in GCO, the charger reference current ensures unit power factor in grid-to-vehicle/vehicle-to-grid (G2V/V2G) operation mode and harmonic free grid current in charger-for-grid (C4G) operation mode. Furthermore, the charger operates in vehicle-to-load (V2L) operation mode during grid outages to maintain an uninterrupted supply to the residential load. The control algorithm also includes a grid synchronization technique to achieve a smooth transition between GCO and V2L. Furthermore, an SMC-based DC-link voltage controller (SMC-DLVC) is proposed to reduce DC-link voltage overshoot with finite-time convergence during external disturbances in all operation modes. The simulation results can be evaluated by using Matlab/Simulink Software.

Keywords: Charger-for-grid (C4G), EV battery charger, G2V, Power quality (PQ), Sliding mode control, V2G.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

Software Configuration:

Operating System :  Windows 7/8/10

Application Software :  Matlab/Simulink

Hardware Configuration:

RAM :  8 GB

Processor :  I3 / I5(Mostly prefer)

Learning Outcomes

  • Introduction to Matlab/Simulink
  • What is EISPACK & LINPACK
  • How to start with MATLAB
  • About Matlab language
  • About tools & libraries
  • Application of Matlab/Simulink
  • About Matlab desktop
  • Features of Matlab/Simulink
  • Basics on Matlab/Simulink
  • Introduction to controllers.
  • Study of PWM techniques.
  • Project Development Skills:
    • Problem analyzing skills
    • Problem solving skills
    • Creativity and imaginary skills
    • Programming skills
    • Deployment
    • Testing skills
    • Debugging skills
    • Project presentation skills
    • Thesis writing skills

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