A potential system to resolve the issue of environmental change is to energize the transport system. The market's acknowledgment of electric vehicles fundamentally affects various regions which includes the power network. A few guidelines have been established to hurry the organization of electric vehicles, and the vertical pattern in reception of electric vehicles as of late has been empowering. The innovation for the electric vehicle's parts have kept on propelling, making them all the more broadly taken on. Despite the monetary and ecological advantages, charging electric vehicles impacts how the flow network capabilities. To resolve this issue, suitable charging the board measures can be set up. Likewise, the reconciliation of electric vehicles into the brilliant network can introduce various open doors, viewpoint of framework innovation and a remedy for the irregular idea of environmentally friendly power sources. This exposition analyzes the latest progressions in electric vehicle innovation, the impacts of their reception, and the valuable open doors they've made.

Since the greenhouse effect of overconsumption of fossil fuels is the cause of global warming, efforts have been made in recent decades to replace coal, oil and natural gas with solar energy. Solar cookers, photovoltaic (PV) panels, solar thermal collectors, concentrating solar power plants, and other methods is applicable to harness the sun's energy and bury it into heat and electrical energy. Focusing primarily on solar panels, the purpose of this discussion is to introduce various solar panel systems such as: As an example, we study a molten salt cavity receiver's and heliostat collector's energy and exertion. Finally, we present some methods to optimize plant performance by calculating cycle energy and exergy losses.

This project aims to develop a 3D model of a GRID Sub Station using Augmented Reality (AR) and Virtual Reality (VR). The 3D model will allow users to explore and interact with the GRID Sub Station in a virtual environment. The project will use Unity 3D software and the AR/VR SDK to create the 3D model. The model will include features such as electrical components, wiring, and other elements of a GRID Sub Station. This will enable users to interact with the 3D model in an immersive environment, allowing them to explore the Grid Sub Station in detail. The project will also develop a web-based interface to allow users to access the 3D model from any browser. This project will provide a cost-effective and user-friendly way to explore GRID Sub Stations and their components.

This paper presents the speed control scheme of an indirect vector-controlled induction motor (IM) drive. PWM controlling scheme is based on Voltage source inverter type space vector pulse width modulation (SVPWM) and the Conventional-PID controller or Fuzzy-PID controller is employed in closed-loop speed control. Decoupling of the stator current into torque and flux producing (d-q) current components model of an induction motor is involved in the indirect vector control. The torque component Iq current of an IM is developed by an intelligent-based Fuzzy PID controller. Based on settling time and dynamic response the performance of the Fuzzy Logic Controller is compared with that of the PID Controller to sudden load changes. It provides better control of motor torque with high dynamic performance. The simulated design is tested using various toolboxes in MATLAB. Simulation results of both controllers are presented for comparison.

In this study, the speed of the two-wheeled vehicle is employed to produce power that may be stored in a battery for later use. The new, revolutionary car that will take its place during a power outage is the self-power-producing one. The battery that powers the inverter circuit is used to store the power produced by the synchronized dynamo used in applications with minimal AC power. Battery power consumption is only appropriate in the event that the grid-connected residences' power source fails. As a result, this system will improve its characteristics and be more beneficial in rural regions.

Plastic welding is a joining technique that involves heating and melting thermoplastics, followed by a process of solidification that produces a solid and long-lasting bond. The purpose of this study is to review the numerous plastic welding processes that are now in use, the materials used, and the applications in various industries. The study contrasts each welding technique based on its efficiency, expense, and safety while also highlighting its benefits and drawbacks.

The dominant rise of automation & robotics in various walks of life is one of the few key technologies sustaining modern way of life. Also recent developments in computing & artificial intelligence have found the way for use of automation & robotics in fields where human intervention or control is difficult due to distance, time, or external hazards. One of such areas is space, or deep sea exploration or study of seismic activity or oil fields, where combination of robotics & AI can reduce human involvement or risk exposure to hazardous environment. Precise, accurate & repeatable measurement of mechanical properties of fluids is important in any exploration; the proposed system implements a drill based/ rotor based fluid properties measurement system, implemented by hybridization of embedded system & artificial intelligence. Use of function fitting neural network to predict various liquid parameters by observing rotor power consumption & associates sensors value. Use of low cost 8bit microcontroller to act as a data acquisition & control system for the experimental setup to acquire sensor values & control rotor & led parameters. The proposed system comprises of measurement of motor voltage & motor current in conjunction with temperature sensor & computation of mechanical equivalent of heat, density, using artificial neural network. Also a led array with photodiode is used to measure light intensity through liquid on two photodiodes which is used to compute transparency index using another pretend artificial neural network.