Design and Energy Management of a Hybrid PV-Wind DC Microgrid Integrating Battery and Supercapacitor Storage Under Variable Load and Intermittent Renewable Generation

Project Objective

This research page presents Design and Energy Management of a Hybrid PV-Wind DC Microgrid Integrating Battery and Supercapacitor Storage Under Variable Load and Intermittent Renewable Generation as a structured engineering simulation project for battery, charger, drive-cycle and e-mobility simulation research. The objective is to explain the system model, demonstrate the simulation video and support researchers with a clear technical workflow for thesis, paper implementation or academic presentation.

System Scope

The project is organized around the main model blocks, input conditions, controller or algorithm logic, measured outputs and result interpretation. The page is written for engineering researchers who need a trustworthy overview before discussing deeper customization.

Methodology & Simulation Workflow

• Define the research problem, model assumptions and input parameters.
• Build the system model using MATLAB Simulink with domain-specific blocks or equations.
• Integrate controller, optimization, AI, converter, machine, grid or multiphysics logic depending on the topic.
• Run simulation scenarios and compare the response under nominal, transient or fault conditions.
• Export publication-ready graphs, research demonstrations and explanation notes.

Expected Simulation Outputs

• battery voltage, current, SOC/SOH or RUL trends
• vehicle speed, torque, power and energy-flow responses
• charging or regenerative-braking performance comparisons
• controller response under load or drive-cycle variations

Research Applications

• EV battery management and charger design
• electric powertrain research and validation
• V2G/G2V and smart charging studies
• hybrid energy storage and thermal battery studies

Trust & Academic Integrity

PhD Research Labs presents simulation support as a research-assistance workflow. The content is intended for learning, implementation guidance, result explanation and model customization. Researchers should validate assumptions, cite appropriate literature and follow their university's academic-integrity rules.