Simulink Projects For Electrical Engineering

Simulink Projects For Electrical Engineering, numerous projects are progressing go through the ideas that are listed by us. Best Simulink tools are available by us get all your work done with hands on explanation from our experts. Together with a summary, major elements, anticipated outcomes, and possible performance metrics to assess, we offer few efficient project:

  1. Design and Simulation of a Grid-Tied Solar PV System

Goal: A grid-tied solar photovoltaic (PV) model has to be constructed and simulated. It significantly assures grid flexibility and improves energy output.

Major Elements:

  • Solar PV Array: On the basis of temperature and irradiance, simulate the energy output by designing the PV panels.
  • MPPT Controller: As a means to enhance power output from the solar panels, we plan to apply Maximum Power Point Tracking (MPPT).
  • Inverter Model: For grid injection, it is appreciable to model a grid-tied inverter that is capable of transforming DC from the PV panels to AC.
  • Grid Interface: Encompassing voltage and frequency regulation, our team simulates the combination with the grid.

Performance Assessment:

  • Energy Yield: The total energy produced for a certain period could be evaluated.
  • Efficiency: Encompassing the MPPT and inverter, it assesses the entire performance of the model.
  • Power Quality: Focus on evaluating the harmonic misinterpretation and power factor of the injected power.

Anticipated Outcomes:

  • With least loss of power, this study could provide extreme energy production.
  • By means of rapid reaction to varying irradiance, effective MPPT effectiveness can be offered.
  • The power factor and insufficient total harmonic distortion (THD) could be nearly aligned.
  1. Simulation of a DC-DC Boost Converter for Electric Vehicles

Goal: In order to increase the voltage from a battery pack for electric vehicle (EV) applications, our team designs and simulates a DC-DC boost converter.

Major Elements:

  • Battery Model: To offer the input voltage, it is approachable to simulate the battery pack.
  • Boost Converter: A boost converter has to be modelled and simulated to enhance the voltage.
  • PWM Controller: As a means to control the output voltage, we focus on utilizing a Pulse Width Modulation (PWM) control policy.

Performance Assessment:

  • Output Voltage Stability: The precision and flexibility of the output voltage could be assessed.
  • Efficiency: Under different load situations, it evaluates the conversion performance.
  • Transient Response: Concentrates mainly on testing the converter’s reaction to unexpected variations in load or input voltage.

Anticipated Outcomes:

  • With least ripple, this project could contribute consistent output voltage.
  • Specifically, at high load situations, it provides high performance.
  • It could offer rapid transient response with least overshoot.
  1. Simulation of a Three-Phase Inverter for Motor Drive Applications

Goal: In industrial applications, our team aims to model and simulate a three-phase inverter for driving induction or synchronous motors.

Major Elements:

  • Inverter Model: Through the utilization of MOSFETs or IGBTs, we plan to develop a three-phase inverter framework.
  • Motor Model: In order to assess the drive effectiveness, it is approachable to simulate an induction or synchronous motor.
  • Control System: A direct torque control (DTC) or field-oriented control (FOC) policy should be applied.

Performance Assessment:

  • Torque Response: Under differing load situations, evaluate the torque response and speed control.
  • Efficiency: Among various functional points, assesses the performance of the inverter.
  • Harmonic Content: In the motor’s current, the harmonic misinterpretation should be explored.

Anticipated Outcomes:

  • This project could offer precise and clear torque control along with least ripple.
  • In different loads and momentum, it can offer high performance.
  • To assure motor effectiveness and durability, less harmonic misinterpretation could be contributed.
  1. Development of an Active Power Filter for Harmonic Mitigation

Goal: As a means to decrease harmonics in industrial power models, we focus on designing and simulating an active power filter.

Major Elements:

  • Power Filter Model: By employing elements of power electronics, it is appreciable to model an active power filter.
  • Control Algorithm: In order to balance harmonics in a dynamic manner, suitable control policy has to be utilized.
  • Power System Model: To evaluate the filter, our team plans to simulate a power model with non-linear loads.

Performance Assessment:

  • Harmonic Reduction: The mitigation in Total Harmonic Distortion (THD) could be evaluated.
  • Response Time: On the basis of various load situations, the response time of the filter must be assessed.
  • Efficiency: Based on power performance and damages, focus on evaluating the performance of the filter.

Anticipated Outcomes:

  • Among the reasonable constraints, this study could accomplish THD through mitigating the harmonic disruptions.
  • In load situations, it could provide rapid reaction to dynamic variations.
  • It could contribute high performance with least loss of power.
  1. Modeling and Simulation of an Electric Vehicle Charging Station

Goal: Concentrating on rapid charging mechanism and grid influence, it is appreciable to simulate an electric vehicle (EV) charging station.

Major Elements:

  • Charger Model: For EVs, we plan to model a framework of a rapid charger.
  • Grid Connection: The link of the charger to the power grid should be simulated.
  • Control Strategy: Mainly, for effective and secure charging, our team utilizes control methods.

Performance Assessment:

  • Charging Time: The time needed to charge an EV battery to a certain level should be evaluated.
  • Grid Impact: Encompassing power quality and load changes, assess the influence on the grid.
  • Efficiency: Focus on evaluating the performance of the charging procedure.

Anticipated Outcomes:

  • In high power supply, this project could decrease charging times.
  • On power quality and grid flexibility, it can offer least influence.
  • At the time of the charging procedures, this could contribute extreme performance and secure process.
  1. Simulation of Energy Management Systems for Microgrids

Goal: For microgrids, our team intends to construct and simulate an energy management system (EMS) which contains the capability to combine renewable energy resources and storage.

Major Elements:

  • Microgrid Model: Along with wind, solar, and battery storage, it is approachable to simulate a microgrid.
  • EMS: As a means to improve energy flow and stabilize delivery and requirement, we plan to model an energy management system.
  • Control Strategies: For load balancing and renewable combination, it is better to utilize actual-time control methods.

Performance Assessment:

  • Energy Balance: In sustaining energy balance, evaluates the performance of the EMS.
  • Cost Savings: Typically, possible cost savings from improved energy utilization could be assessed.
  • Renewable Integration: Concentrates on testing the level of renewable energy combination and its influence on the grid.

Anticipated Outcomes:

  • This study could provide efficient energy management with least dependency on external power resources.
  • Based on improved energy utilization, it can contribute major cost savings.
  • Along with a consistent microgrid process, this suggests an extensive combination of renewable energy.
  1. Design and Simulation of a Wireless Power Transfer System for EVs

Goal: Concentrating on scope and performance, we plan to simulate a wireless power transfer model for electric vehicle charging.

Major Elements:

  • Transmitter and Receiver Coils: It is appreciable to design the inductive or resonant coupling coils.
  • Power Electronics: For wireless power transfer, our team aims to model the essential power converters and inverters.
  • Control System: Typically, a control model has to be applied for effective power transmission and arrangement.

Performance Assessment:

  • Transfer Efficiency: Among various distances, assess the effectiveness of power transfer.
  • Power Density: Concentrate on testing the power intensity of the wireless model.
  • Alignment Sensitivity: To interpret the misarrangement among transmitter and receiver, evaluate the sensitivity of the model.

Anticipated Outcomes:

  • Across short to medium distances, this study could contribute high-effectiveness power transmission.
  • It can offer efficient effectiveness with reasonable understanding to misconfiguration.
  • Appropriate for rapid EV charging, it could provide high power intensity.

What are the trending research topics in the field of electric vehicle Suggestion will be appreciated for M tech thesis?

Numerous research topics exist in the domain of electric vehicles, but some are examined as effective. We suggest some advanced research regions in EVs which are recently acquiring attention and are beneficial for M tech thesis:

  1. Battery Technology and Energy Storage

Significant Research Areas:

  • Solid-State Batteries: To provide extended lifetimes, greater energy intensities, and enhanced protection compared to conventional lithium-ion batteries, we intend to explore the efficiency of solid-state batteries.
  • Battery Management Systems (BMS): As a means to prolong battery lifespan, enhance battery effectiveness, and improve protection by means of actual-time tracking and adaptive control, our team focuses on constructing innovative BMS.
  • Battery Recycling and Sustainability: Mainly, in order to decrease ecological influence and retrieve beneficial resources, it is appreciable to investigate efficient techniques for recycling EV batteries.

Potential Challenges:

  • In solid-state batteries, it is significant to attain high energy intensity and protection.
  • Generally, in the BMS, focus on handling the thermal and charge-discharge cycles in an effective manner.
  • Ecologically friendly and cost-efficient recycling procedures must be created.
  1. Electric Vehicle Charging Infrastructure

Significant Research Areas:

  • Fast Charging Technologies: In addition to sustaining battery wellbeing, decrease charging times by investigating high-speed charging models.
  • Wireless Charging: In order to facilitate effective and appropriate wireless power transmission for EVs, we intend to construct inductive or resonant charging models.
  • Grid Integration: To handle extreme loads and enhance energy dissemination, our team explores the combination of EV charging architecture with smart grids.

Potential Challenges:

  • It is significant to stabilize rapid charging momentums with durability of the battery.
  • Focus on assuring secure and effective wireless power transmission.
  • Without producing flexibility problems, it is crucial to combine EV charging with previous grid architecture.
  1. Vehicle-to-Grid (V2G) Technology

Significant Research Areas:

  • Bidirectional Charging: Generally, for assisting energy performance and grid flexibility, we aim to investigate the mechanism which permits EVs to extract power from the grid as well as supply back the electricity.
  • Economic Models: For customers as well as service suppliers, our team plans to construct systems to examine the economic feasibility and advantages of V2G frameworks.
  • Grid Support Services: Generally, in offering additional services like peak shaving and frequency regulation, it is approachable to explore the contribution of EVs.

Potential Challenges:

  • Bidirectional chargers are broadly implemented and are cost-efficient. The process of assuring this is examined as important.
  • As a means to motivate V2G involvement, efficient economic systems should be constructed.
  • To offer credible grid assistance, it is crucial to combine V2G models with grid management software.
  1. Advanced Electric Drivetrains

Significant Research Areas:

  • Permanent Magnet Motors: For persistent magnet motors, our team aims to explore novel resources and models to decrease dependence on unusual-earth resources and improve effectiveness.
  • In-Wheel Motors: In order to decrease weight, enhance vehicle dynamics, and improve energy effectiveness, it is better to create an in-wheel motor mechanism.
  • Power Electronics: The credibility and performance of power electronic converters and controllers employed in EVs has to be improved.

Potential Challenges:

  • In motor design, it is important to stabilize expense and effectiveness.
  • It is significant to focus on the longevity and thermal management of in-wheel motors.
  • Among different operating situations, focus on assuring power electronic elements are effective and resilient.
  1. Autonomous and Connected EVs

Significant Research Areas:

  • Autonomous Driving: For entirely autonomous electric vehicles, we intend to construct the control methods and sensor combination.
  • Vehicle-to-Everything (V2X) Communication: As a means to permit EVs to communicate with each other and the neighbouring architecture to enhance performance and protection, our team investigates communication models.
  • Cybersecurity: To secure autonomous and linked EVs in opposition to cyber assaults, it is appreciable to assure that the efficient cybersecurity criterions are applicable.

Potential Challenges:

  • In autonomous vehicle control models, it is important to attain high protection and credibility.
  • Typically, organized V2X communication protocols should be created.
  • To secure vehicle models and data, focus on applying extensive cybersecurity criterions.
  1. Thermal Management in EVs

Significant Research Areas:

  • Battery Cooling Systems: For EV batteries, our team aims to construct innovative thermal management models to prolong battery lifespan and avoid overheating.
  • Power Electronics Cooling: To assure effectiveness and credibility, we plan to explore effective cooling approaches for power electronic elements.
  • Heat Recovery Systems: In order to enhance the entire performance of energy, retrieve and make use of waste heat produced by EV models through exploring techniques.

Potential Challenges:

  • Typically, cooling models must be modelled in such a manner that are small as well as effective.
  • In high-power elements, it is significant to handle heat dissolution.
  • Without convincing vehicle effectiveness, it is challenging to combine heat recovery models.
  1. Lightweight Materials for EVs

Significant Research Areas:

  • Composite Materials: As a means to enhance performance of energy and decrease the weight of electric vehicles, we intend to investigate the purpose of innovative composites.
  • Recyclable and Sustainable Materials: Novel resources which are lightweight as well as recyclable and maintainable have to be examined.
  • Structural Integration: Without convincing structural protection or morality, combine lightweight resources into EV designs through exploring appropriate techniques.

Potential Challenges:

  • It is significant to assure that the resources are appropriate for mass production and cost-efficient.
  • Specifically, weight mitigation must be stabilized with vehicle longevity and protection.
  • To reduce ecological influence, it is crucial to construct recycling procedures for novel resources.
  1. Advanced Driver Assistance Systems (ADAS) for EVs

Significant Research Areas:

  • Sensor Fusion: In order to improve the credibility and precision of ADAS, our team focuses on integrating data from different sensors such as LIDAR, radar, cameras.
  • Adaptive Cruise Control: On the basis of road dynamics and traffic situations, adapt the momentum of the EV by creating suitable models.
  • Lane Keeping and Automatic Parking: To support in lane keeping and computerize the parking procedure, we plan to formulate frameworks.

Potential Challenges:

  • The process of assuring the preciseness and strength of sensor data combination is examined as important.
  • To manage a broad scope of driving situations, it is challenging to construct adaptive models.
  • Without considerably enhancing the energy utilization of the vehicle, focus on combining ADAS with EVs in an effective manner.
  1. Energy Harvesting for EVs

Significant Research Areas:

  • Regenerative Braking Systems: As a means to retrieve more energy at the time of deceleration and braking, we aim to investigate innovative regenerative braking approaches.
  • Solar Panel Integration: For increasing the major energy resource, combine solar panels into EVs by constructing suitable techniques.
  • Vibration Energy Harvesting: With the aim of expanding the driving range of EVs, gather energy from vibrations and other mechanical resources through investigating mechanisms.

Simulink Project Topics for Electrical Engineering

Simulink Thesis for Electrical Engineering

Simulink Thesis for Electrical Engineering with simulation and thesis writing services that paves way for fast publication are aided by phdprime.com researchers. Get a particular approach to your research work where tailored team will be assisted by us for your work. Read the ideas and contact us for more Simulink Thesis for Electrical Engineering.

  1. Implementation of third-order sliding mode for power control and maximum power point tracking in DFIG-based wind energy systems
  2. A fuzzy analytic hierarchy process-based analysis for prioritization of barriers to offshore wind energy
  3. Data-driven mapping of hourly wind speed and its potential energy resources: A sensitivity analysis
  4. Modified grey wolf optimizer based MPPT design and experimentally performance evaluations for wind energy systems
  5. On the importance of wind turbine wake boundary to wind energy and environmental impact
  6. Review on floating wave-wind energy converter plants: Nonlinear dynamic assessment tools
  7. Toward effective irregular wind energy harvesting: Self-adaptive mechanical design strategy of triboelectric-electromagnetic hybrid wind energy harvester for wireless environmental monitoring and green hydrogen production
  8. CFD assessment of wind energy potential for generic high-rise buildings in close proximity: Impact of building arrangement and height
  9. DP based multi-stage ARO for coordinated scheduling of CSP and wind energy with tractable storage scheme: Tight formulation and solution technique
  10. A hybrid wind energy harvester based on a double-rotor reverse synergy mechanism for high-speed railway
  11. Evaluating the Performance of various Algorithms for Wind Energy Optimization: A Hybrid Decision-Making model
  12. Computational fluid dynamics and turbulence modelling in various blades of Savonius turbines for wind and hydro energy: Progress and perspectives
  13. Energy storage capacity optimization of wind-energy storage hybrid power plant based on dynamic control strategy
  14. Wind energy potential assessment of selected locations at two major cities in the Dominican Republic, toward energy matrix decarbonization, with resilience approach
  15. Analysis of the Integrated Effect of Temporary Overvoltages, PV Transformer Connection and Overcurrent Protection in Hybrid PV-Wind Energy System
  16. Potential of wind energy and economic assessment in Egypt considering optimal hub height by equilibrium optimizer
  17. Wind energy expansion and birds: Identifying priority areas for impact avoidance at a national level
  18. Public attitudes of offshore wind energy in Japan: An empirical study using choice experiments
  19. The overlooked threat of land take from wind energy infrastructures: Quantification, drivers and policy gaps
  20. A transformer-based deep neural network with wavelet transform for forecasting wind speed and wind energy
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