IoT Based Battery Management System in Electric Vehicles.pdf

This document discusses maximum power point tracking (MPPT) techniques for solar panels. It begins with an introduction to MPPT and its objective to increase solar panel efficiency by extracting more power. Several MPPT techniques are described, including perturb and observe, incremental conductance method. The document provides mathematical models and diagrams to illustrate solar cell characteristics and how MPPT techniques work. It also discusses hardware implementation and the advantages of MPPT, concluding that incremental conductance performs best under varying conditions.

Thank you very much for checking out my presentation. If you are a student or a faculty of an engineering college and need to create a presentation, you can contact me. Check out my profile to know how. This project describes about a device, which measures the power consumed by our household devices, using IoT technology.

matlab simulation of statcom design with the help of various things like fuzzy logic and 14 bus system

SOLAR BASED WIRELESS CHARGING TO GET GOOD EFFICIENCY, BUT IN TRANSMISSION THE LOSSES OCCUR MORE THAT'S WHY ITS EFFICIENCY AROUND 35-40% BY SOLAR

Now a days world is shifting towards electrified mobility to reduce the pollutant emissions caused by nonrenewable fossil fueled vehicles and to provide the alternative to pricey fuel for transportation. But for electric vehicles, traveling range and charging process are the two major issues affecting it’s adoption over conventional vehicles. With the introduction of Wire charging technology, no more waiting at charging stations for hours, now get your vehicle charged by just parking it on parking spot or by parking at your garage or even while driving you can charge your electric vehicle. As of now, we are very much familiar with wireless transmission of data, audio and video signals so why can’t we transfer power over the Air.

in this presentation charge controller is discussed with good examples of taking load perfectly explanantion of the controller according to load MPPT PWM technique is also explained inthis presentation power calculations also done for better explanation

The document discusses setting up electric vehicle charging stations in India using green energy sources. It provides details on types of charging stations, battery storage systems, and ensuring safety and protection from lightning strikes and power surges in the electrical systems. Standards and approvals from organizations like IEC and NBC are recommended to be followed for lightning protection installation and equipment earthing design.

The document presents a blueprint for a smart grid community. It describes how a smart grid uses two-way digital technology to deliver electricity from producers to consumers and allow control of appliances and machines. This is an upgrade from the traditional one-way electricity grids. Key features of the smart grid include improved reliability, security, environmental benefits, support for distributed generation, and helping customers control energy use. The smart grid incorporates smart substations using digital controls, energy storage, smart distribution assets, smart homes, and electric vehicles. Benefits include faster response to outages and lower prices through reduced energy usage. Developing the smart grid will cost $60-100 million but be offset by partnerships and cost savings over the long run.

Presentation by Lori Bird and Norma Hutchinson, World Resources Institute Clean Power Council Meeting, Columbus, Ohio July 9, 2019

Generally the pwm is the duty cycle which greater control on the dc motor effectively & the pulses reach the full supply voltage and will produce more torque in a motor by being able to overcome the internal motor resistances more easily.

Wireless charging using electromagnetic induction, and resonance magnetic coupling. Effects and limitations, cheallenges faced and meathods to overcome. Success Case study. References included.

Contents of this presenation entitled 'Introduction of different Energy storage systems used in Electric & Hybrid vehicles' is useful for beginners and students

This document describes an RF-based transformer temperature monitoring system. The system uses a temperature sensor interfaced with a microcontroller to monitor and display the temperature on an LCD. The temperature is also transmitted via RF to a remote receiver connected to a PC. Key components include a temperature sensor, microcontroller, LCD, RF transmitter and receiver modules. The system is designed and programmed to continuously monitor and log transformer temperature remotely.

This document describes the design and implementation of an IoT-based smart battery management system (BMS) for an e-bike application. The system measures the voltage, current, and temperature of each cell in a 3-cell lithium-ion battery pack. An Arduino microcontroller sends this data via a BOLT IoT module to a cloud server for analysis. The cloud analytics can detect faulty cells and notify the user. The BMS also performs passive cell balancing to efficiently and safely charge the battery pack over long periods. Hardware and software designs are presented, along with simulation and testing results demonstrating monitoring of battery parameters and cloud-based fault detection.

This document describes the design and testing of a solar-powered bicycle. Key features include: 1) It uses photovoltaic cells to absorb solar energy and charge a battery which powers a 250W hub motor mounted on the rear wheel. 2) Testing showed it can travel 15-20 km on battery power alone, with manual pedaling extending the range further. 3) It provides an affordable and sustainable transportation alternative, with no fuel costs after the initial purchase cost is recovered within 2 years based on fuel savings compared to a moped.

Electric vehicle charging stations use different technologies and charge at various rates. In India, both CHAdeMO and CCS fast charging technologies will be used in addition to the existing Bharat Standard at public charging stations. Level 3 fast chargers can cost over $50,000 to install due to expensive equipment and labor costs, while homeowners can expect to pay around $500-700 total on average to install a basic Level 2 charger. It is generally cheaper to charge an electric vehicle using electricity than it would be to fuel a gas-powered car.

The electricity supply industry is undergoing a profound transformation worldwide. Market forces, scarcer natural resources, and an ever-increasing demand for electricity are some of the drivers responsible for such unprecedented change. Against this background of rapid evolution, the expansion programs of many utilities are being thwarted by a variety of well-founded, environment, land-use, and regulatory pressures that prevent the licensing and building of new transmission lines and electricity generating plants.

This document describes an IoT-based smart fuel meter system that aims to eliminate fuel theft. It consists of a flow meter, Arduino mega board, ESP8266 WiFi module, LCD display, and keypad. The flow meter measures the fuel quantity as it is pumped and sends this data via the WiFi module to a webpage hosted on ThingSpeak. This allows customers to view fuel filling details like the measured quantity and any differences from the actual amount. The system provides transparency to help curb fuel theft at petrol pumps and allow users to monitor fuel usage.

This document discusses the development of an automatic battery management and control system for electric vehicles using IoT. It aims to automatically stop battery overcharging and control charging based on parameters like temperature. The system uses sensors to monitor the battery and microcontroller to control charging/loads. It allows users to view battery status like temperature and charging level on an LCD display or remotely using IoT cloud services. The system is intended to help optimize electric vehicle battery utilization and charging to improve sustainability.

This document summarizes an IoT-based battery management system that monitors and controls batteries. The system uses sensors, microcontrollers, communication modules, and cloud-based servers to collect battery data like voltage, current, temperature, and state of charge. It analyzes the data and optimizes battery charging and discharging to extend battery life and reduce costs. Real-time monitoring and early warning of potential failures are provided. Users can access the battery data like state of charge and temperature remotely using smartphones or computers. The system aims to improve battery performance, increase reliability, and reduce environmental impact.

This document describes a system that monitors the performance of induction motors using IoT devices. Sensors measure electrical parameters like voltage and current, as well as non-electrical parameters like temperature and speed. An app is created using MIT App Inventor to display the sensor data and store it in a database. The system can detect abnormal parameter values and automatically turn the motor on or off to prevent faults. The goal is to increase motor efficiency and reduce maintenance costs through continuous remote monitoring of motor performance.