Tuesday 31 August 2021

Modeling of PWM Generator _Space Vector Pulse Width Modulation for Elec...


https://youtu.be/PQAXrjkY8TU

Modeling of PWM Generator _Space Vector Pulse Width Modulation for Electric Vehicle Speed Control


Modeling of 3Phase -3 Level PWM Generator with Space Vector Pulse Width Modulation (SVPWM)

This example shows how to use the PWM Generator (Three-phase, Three-level) to control a Three-Level Converter.

Electric Vehicle Speed Control using Three Phase Inverter operated by DSP-based Space Vector Pulse Width Modulation Technique. It has been shown to generate less harmonic distortion in the output voltages and/or currents applied to the phases of an AC motor and to provide more efficient use of dc input voltage.

Space vector modulation requires only one reference space vector to generate three-phase sine waves and by controlling the reference space vector, the amplitude and frequency of load voltage can be varied. Space Vector Modulation provides excellent output performance, optimized efficiency, and high reliability compared to similar inverters with conventional Pulse Width Modulation.
Click here to get the Simulink file:





Saturday 21 August 2021

DESIGN OF NON-ISOLATED DC-DC CONVERTERS & CONTROL TECHNIQUES FOR RENEWAB...


Applications of CUK Converter 1) Non-Isolated Unidirectional Three-Port Cuk-Cuk Converter for Fuel Cell/Solar PV Systems 2) Non Isolated Interleaved Cuk Converter for High Voltage Gain Applications
3) Cuk Converter for Battery Fed electric vehicles (BFEVs) - are required to function in two different modes namely: acceleration mode and braking (regenerative) mode. During acceleration and normal modes the power flow is from battery to motor whereas during braking or regenerative mode the kinetic energy of the motor is converted into electrical energy and fed back to battery.
4) Design of EV Charger with Cuk Converter to Improve Power Quality Click here to get the simulink file:
https://drive.google.com/file/d/1bVPG...

Sunday 15 August 2021

Design of Fuel Cell Electric Vehicle (FCEV) with Battery Model & Coolin...


Design of Fuel Cell Electric Vehicle (FCEV) with Battery Model & Cooling System _ Matlab Simulink

Source: Steve Miller (2021). Fuel Cell Vehicle Model in Simscape (https://github.com/mathworks/Fuel-Cell-Vehicle-Model-Simscape/releases/tag/21.1.1.2), GitHub. This example shows a Fuel Cell Powertrain modeled in Simscape. A single fuel cell stack in parallel with a battery powers a single motor that propels the vehicle. The fuel cell is modeled using a custom domain to track the different species of gas that are used in the fuel cell. The vehicle can be tested on custom drive cycles or using the Drive Cycle Source from Powertrain Blockset. The fuel cell and battery are connected on a DC electrical network to the motor. The control system determines how much power to draw from the battery and fuel cell. During braking events, power is fed back into the battery to recharge it. A thermal system modeled using a fluid network controls the temperature of the battery, DC-DC converters, and the motor. The flow of oxygen, hydrogen, nitrogen, and water is captured in a custom Simscape domain. Equations for reactions and heat generated are implemented in Simscape language. A thermal management system keeps the fuel cell at the optimal operating temperature. Plot shows how the current from the battery and fuel cell vary as the car is driven along a standard drive cycle. Note that the battery is recharged (current changes sign) while the fuel cell is only discharged. Click here to get the file: https://in.mathworks.com/matlabcentral/fileexchange/33309-fuel-cell-vehicle-fcv-power-train 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 Telegram : t.me/Dr_MSivakumar website : drmsivakumar78.blogspot.com

 

Sunday 8 August 2021

Design of Solar PV DC Power System with Battery Backup Using Maximum Pow...

Stand-alone PV system in this example comprises seven operating modes. These modes are selected based on DC bus voltage, solar irradiance and state of charge of the battery. DC bus voltage level, solar irradiance and the battery state of charge are used to decide the suitable operating mode. Mode-0 - Start mode (Default simulation starting mode) Mode-1 - PV in output voltage control, battery fully charged and isolated Mode-2 - PV in maximum power point, battery is charging Mode-3 - PV in maximum power point, battery is discharging Mode-4 - Night mode, PV shutdown, battery is discharging Mode-5 - Total system shutdown Mode-6 - PV in maximum power point, battery is charging, load is disconnected A MATLAB® live script to design the overall standalone PV system. Simulink® to design/simulate the control logic for the system. Simscape™ to simulate the power circuit. Stateflow™ to implement the supervisory control logic. To track the maximum power point (MPP) of solar PV, We can choose between two maximum power point tracking (MPPT) techniques: INCREMENTAL CONDUCTANCE (IC) PERTURBATION AND OBSERVATION( P&O) Click here to download the simulink Model: https://drive.google.com/file/d/1vp0e... 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 Telegram : t.me/Dr_MSivakumar website : drmsivakumar78.blogspot.com

Sunday 1 August 2021

Design & Simulation of Solar PV System with MPPT Using Boost Converter

This example shows the Design of a Boost Converter for controlling the power output of a solar PV system and helps you to: 1) Determine how the panels should be arranged in terms of the number of series-connected strings and the number of panels per string to achieve the required power rating.
2) Implement the MPPT algorithm using boost converter & Operate the solar PVsystem in the voltage control mode.
3) Select a suitable proportional gain, and phase-lead time constant  for the PI controller
We can choose between two maximum power point tracking (MPPT) techniques: INCREMENTAL CONDUCTANCE (IC)
PERTURBATION AND OBSERVATION( P&O)
Two MPPT techniques are implemented using the variant subsystem.

Set the variant variable MPPT to 0 to choose the perturbation and observation MPPT method.
Set the variable MPPT to 1 to choose the incremental conductance method. Click here to download the File: https://drive.google.com/file/d/18jxlcpsSJbIeURdfBnsRe0pL_KsBrFKi/view?usp=sharing


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