Biomedical Electronics_Lecture PPTS

Design & Analysis of Wireless Power Transfer for Electric Vehicle (EV)Applications

Design & Analysis of Wireless Power Transfer for

Electric Vehicle (EV) Applications

This Model includes

1) Typical wireless EV charging system.

2) General Two-coil WPT system

3) Power electronics converter and power control

4) Exposure limit boundary for an 8 kW WPT system

Wireless power transfer (WPT) using magnetic resonance is the technology which could set human free from the annoying wires.

The advances make the WPT very attractive to the electric vehicle (EV) charging applications in both stationary and dynamic charging scenarios.

A typical wireless EV charging system is shown in Fig.

It includes several stages to charge an EV wirelessly. First, the utility ac power is converted to a dc power source by an ac to dc converter with power factor correction.

Then, the dc power is converted to a high-frequency ac to drive the transmitting coil through a compensation network. The high-frequency current in the transmitting coil generates an alternating magnetic field, which induces an ac voltage on the receiving coil.

By resonating with the secondary compensation network, the transferred power and efficiency are significantly improved. At last, the ac power is rectified to charge the battery. L1 represents the self-inductance of the primary side transmitting coil and L2 represents the self-inductance of the receiving coil. S1 and S2 are the apparent power goes into L1 & L2. S3 and S4 are the apparent power provided by the power converter. S12 and S21 represent the apparent power exchange between the two coils. Kindly Subscribe My YouTube Channel... Please like, share and comments on My Videos 🙏 Please click the below links to Subscribe/Join & View my Videos https: //www.youtube.com/c/DrMSivakumar

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Plant Leaf Disease Detection using Computer Vision and Machine Learning Algorithms

Plant Leaf Disease Detection using Computer Vision and Machine Learning Algorithms

The model uses computer vision techniques

The machine learning approaches such as SVM, K-NN and CNN are used to distinguish diseased or non-diseased leaf.

To extract the informative features of the leaf samples, multiple descriptors Discrete Wavelet Transform, Principal Component Analysis and GLCM are used Well suited for CNN machine learning classification technique This example Script shows 1) k-means clustering algorithm 2) Contour Tracing 3) Texture Analysis Using Gray-Level Co-Occurrence Matrix 4) CNN Classifier

Click here to download the Matlab File:

https://drive.google.com/drive/folders/1uSQZ-BDPqGbtqbj033b7cPzIM_TT_6dm?usp=sharing

Analysis & Evaluation of Solid Oxide Fuel Cell based Waste Heat Recovery System(WHRS)

Analysis & Evaluation of   Solid Oxide Fuel Cell based  Waste Heat Recovery System(WHRS)

This example Matlab Script shows Overall SOFC Performances and Overall SOFC Performance with WHRS and Suitable for analysis of the following

1) Waste heat recovery for fuel cells 2) Waste Heat Recovery for Fuel Cell Electric Vehicle

There are some useful methods to recover the waste heat in fuel cell systems:

When the waste heat is used for fuel reforming processes, the overall efficiency of fuel cell system can achieve about 60%.

For the combined solid oxide fuel cell system with gas turbine or micro gas turbine, a net electrical efficiency can be greater than 60% and the system efficiency is greater than 80%.

The combined heat and power in fuel cell systems is a good option when heat and electricity both are need to supply.

This method can be applied to high temperature fuel cell systems (SOFC).

It can be also suitable for the low temperature fuel cell systems (PEM).

Fuel cells are one of the cleanest ways of generating electricity, and as they the gain in popularity, the Waste Heat Recovery (WHR) of these systems becomes increasingly more important.

This is because it’s possible to reuse this waste heat that the system produces for the purpose of reaching a higher overall efficiency for the entire system.

Certain fuel cells, such as a proton-exchange membrane fuel cells (PEMFC), can operate at low temperatures with an efficiency close to 60%, making them well suited for non-stationary applications such as vessels or vehicles. Click here to download the Matlab Script file: https://drive.google.com/file/d/1bo4TTrXgVx20bg59Su6pwbWHsanKjZcO/view?usp=sharing

AI & Machine Learning Approaches in Renewable Energy Systems_ DST - SERB Sponsored Virtual Workshop

AI & Machine Learning Approaches in Renewable Energy Systems_ DST - SERB Sponsored Virtual Workshop

Workshop Contents:

- Introduction to AI & ML

- Introduction to RES

- Recent Trends & Research in RES

- Simulation & Analysis of Solar Energy System using Matlab Simulink

- Modeling & Simulation of Fuel Cells in Matlab Simscape