Skip to content

A MATLAB/Simulink simulation analyzing the energy efficiency of Electric Vehicle (EV) battery charging and regenerative braking systems. Developed for the Instruments & Measurements course at PSUT.

Notifications You must be signed in to change notification settings

Albert-Saman/EV-Simulink-Project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

4 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

πŸ”‹ Simulation and Efficiency Analysis of EV Powertrain

Tools Status

A comprehensive simulation of Electric Vehicle (EV) energy dynamics, focusing on grid-to-battery charging and regenerative braking efficiency.


πŸ“Œ Project Overview

This project presents a comprehensive simulation and efficiency analysis of an Electric Vehicle (EV) powertrain using MATLAB/Simulink. The study focuses on two critical energy processes:

  1. Grid-to-Battery Charging: Converting 230 Vrms grid power to a DC level for a 50Ah Lithium-Ion battery.
  2. Regenerative Braking: Quantifying energy recovered during vehicle deceleration.

The analysis demonstrated an overall system efficiency of approximately 67%, highlighting the impact of energy recovery systems on extending EV range.

πŸ“‚ Key Features

  • AC-to-DC Charging Simulation: * Models a full-wave bridge rectifier with current limiting.
    • Achieved a charging efficiency of 93.7%.
  • Regenerative Braking Model: * Simulates a vehicle decelerating from 70 km/h.
    • Calculates back-EMF power generation based on Newton’s Second Law ($F=ma$).
    • Recovered approx. 65% of kinetic energy.
  • Efficiency Analysis: * Automated calculation script (Part3Calculations.m) to compute total input vs. gained energy.

βš™οΈ Usage

  1. Prerequisites: MATLAB & Simulink.
  2. Running the Simulations:
    • Open src/BatteryCharging.slx to view the charging circuit.
    • Open src/RegenerativeBraking.slx to view the dynamic braking model.
    • Run src/Part3Calculations.m to generate the efficiency report in the Command Window.

πŸ“Š Results

The project successfully validated the dual-functionality of the EV powertrain:

  • Charging: Stable voltage/current delivery overcoming internal battery resistance.
  • Braking: Smooth deceleration logic effectively mimicking physical inertia.

The project calculated efficiencies by integrating power over time ($E = \int P \cdot dt$) for both scenarios.

Metric Value Description
Charging Efficiency 93.7% High efficiency achieved via rectifier circuit.
Recovered Energy 184.3 kJ 65% of initial kinetic energy recovered.
Overall Efficiency 67.07% Combined system efficiency (Charging + Braking).

Note: Detailed calculations and plots can be generated using the Part3Calculations.m script.


πŸ‘₯ Authors

  • Albert Saman
  • Hussam Dawood

Project submitted for the Instruments and Measurements course at Princess Sumaya University for Technology (PSUT).

About

A MATLAB/Simulink simulation analyzing the energy efficiency of Electric Vehicle (EV) battery charging and regenerative braking systems. Developed for the Instruments & Measurements course at PSUT.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages