PV Integrated Multifunctional Off-Board EV Charger with Improved Grid Power Quality

Also Available Domains Power Quality|Solar Power Generation

Project Code :TEMAED175


The main objective of this project is to power the electric vehicle and improve the power quality by using Adaptive Notch Filter based efficient control algorithm.


In this project, an adaptive notch filter (ANF) based efficient control algorithm for multifunctional grid connected solar photovoltaic (PV) powered electric vehicle (EV) charger to power the EV batteries and simultaneously improve the grid power quality (PQ). Furthermore, a multilevel topology is adopted for the grid-facing converter to improve output voltage quality. The ANF accurately estimates the fundamental EV current and grid voltage for generating pure sinusoidal reference current and synchronizing voltage template, respectively. The ANF based voltage template estimator precisely estimates in-phase and in-quadrature synchronizing voltage templates compared to a phase-locked loop (PLL) and second-order generalized integrator (SOGI) during non-ideal grid voltage conditions. The charger is designed to operate in grid connected operation (GCO) and standalone operation (SO) to optimize the PV generation. In GCO, the charger provides grid current harmonic compensation and reactive power support to the grid. Furthermore, it offers backup power to the residential load during an emergency. The charger control algorithm also includes a grid synchronization technique based on phase error minimization to achieve a smooth and seamless transition from SO to GCO and vice-versa. The simulation results can be evaluated by using Matlab/Simulink Software.

Keywords: Adaptive notch filter, EV battery charger, Harmonic compensation, Power quality, Reactive power support.

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

Block Diagram


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
  • 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

Demo Video

Final year projects