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Automobile MATLAB Projects

Fuel Cell Electric Vehicle (FCEV) Modeling & Energy Management - MATLAB Simulink

A fuel-cell electric-vehicle powertrain model with coordinated fuel-cell, battery and optional supercapacitor energy management over changing drive demand. The page includes a direct video, output-gallery support and detailed research guidance.

Project VideoOutput ImagesPhD ThesisFYPMATLAB SimulinkPEM fuel cellbattery-supercapacitor hybrid FCEV

Video Demonstration

Simulation Images and Output Snapshots

Project Overview

A fuel-cell electric-vehicle powertrain model with coordinated fuel-cell, battery and optional supercapacitor energy management over changing drive demand.

The model is structured around PEM fuel-cell dynamics, hybrid source power split, SOC management and FCEV efficiency evaluation. It is suitable for scholars who need a clear implementation path, measurable outputs and a page that connects the video demonstration with the underlying engineering method.

System Architecture and Main Components

  • Driver and vehicle dynamics
  • PEM fuel-cell stack
  • DC-DC boost converter
  • Battery and optional supercapacitor
  • Traction inverter and motor
  • Supervisory energy-management strategy

MATLAB / Simulation Methodology

  1. Define vehicle, stack, storage and motor parameters.
  2. Calculate traction demand from the drive cycle.
  3. Operate the fuel cell near an efficient power region.
  4. Use battery or supercapacitor support during acceleration and regenerative braking.
  5. Track SOC, hydrogen use, DC-bus regulation and vehicle performance.

Control and Analysis Strategy

The central technical emphasis is PEM fuel-cell dynamics, hybrid source power split, SOC management and FCEV efficiency evaluation. Measurements are converted into controller or analysis variables, limits are applied to maintain realistic operation, and disturbances are introduced to evaluate stability, tracking quality, efficiency and transient performance.

The implementation can be extended with parameter optimization, artificial-intelligence control, comparative algorithms, hardware-in-the-loop preparation or publication-style performance indices, depending on the research objective.

Expected Simulation Outputs

  • Vehicle speed and traction demand
  • Fuel-cell voltage, current and power
  • Battery and supercapacitor power and SOC
  • DC-bus voltage
  • Hydrogen consumption, efficiency and mileage indicators

Video Summary and Simulation Transcript

The video begins with the complete Fuel Cell Electric Vehicle (FCEV) Modeling & Energy Management - MATLAB Simulink model and identifies the principal subsystems: Driver and vehicle dynamics, PEM fuel-cell stack, DC-DC boost converter, Battery and optional supercapacitor.

It then explains the signal flow and demonstrates PEM fuel-cell dynamics, hybrid source power split, SOC management and FCEV efficiency evaluation. Reference commands and operating conditions are applied so that the controller, converter or physical model can be observed during steady-state and transient operation.

The final scopes focus on vehicle speed and traction demand, fuel-cell voltage, current and power, battery and supercapacitor power and soc, dc-bus voltage. These plots support result discussion, controller comparison, report preparation and further PhD or FYP development.

Research Applications and Possible Extensions

  • Hydrogen-electric vehicle research
  • Hybrid energy-source coordination
  • FCEV mileage and efficiency studies
  • Automotive thesis simulation
  • Controller or algorithm comparison using identical operating scenarios
  • Parameter sensitivity, optimization and publication-style result analysis

Related Simulation Projects

Project Content Note

The page describes a representative project workflow. The exact model, parameters, controller and results may vary according to the selected research paper or university requirement.

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