A Multifunctional Non-Isolated Dual Input-Dual Output Converter for Electric Vehicle Applications

Also Available Domains Electrical Vehicles

Project Code :TEMAPE187


The main objective of this project is to improve the system efficiency by reducing switching loss and number of components.


In this paper, an optimized adaptive perturb-perturb (PP) based algorithm is presented. The modified algorithm has a predictive variable step size calculated through the Newton-Raphson procedure, making its programming effort simple. This combination merits fewer calculations, faster response time and can simply be applied effectively in both bright and shady conditions. The algorithm is developed as a C language code linked to the PSIM simulation representing a typical photovoltaic module system. The proposed algorithm’s simulation results proved faster tracking time response with a reduced error than the standard system. The tracking time is ten times faster than the MPPT method and reduced by 10 seconds in a 100 kHz converter. 

The measured error is less than 0.03% at steady state. A modified control modulation scheme is blended with the algorithm as well. simulation results are provided using a 10 W prototype for telecom applications and another 300W practical micro inverter as a proof of concept, and in agreement with both modelling and simulation results. In addition, the results validate the viability of the proposed algorithm in the cases of linear (resistor) and non-linear (brushless motor) loads. The simulation is  provided to prove the concept of the proposed methodology, which is critical for universal solar-inverter applications.

INDEX TERMS- DC-DC converters, MPPT improved algorithms, rural water pump applications, solar energy, standalone rural inverters, and telecom distribution

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