Extension of Aspiration Level Model for Optimal Planning of Fast Charging Stations

Electric vehicles will play a dominant role in future transportation due to their friendliness towards the present day environment. The battery which drives the vehicle can be refilled using battery charging and battery swapping techniques. Fast charging stations provide faster service to the customers. Though battery swapping method outperforms battery charging in many ways, the heavy infrastructure requirement of the former requires time in integrating with the real world. Queuing models are used to depict the real-time behavior of service stations. The aspiration level model provides the optimal value of charging piles for the given system capacity in a fast-charging station. The parameters in the aspiration level model can be formulated to an optimization problem. In the present work, the optimal planning for an fast charging station in Beijing is carried out using genetic algorithm. The simulation work is carried out in MATLAB/Simulink.

Battery Charging in Collision Models with Bayesian Risk Strategies

We constructed a collision model where measurements in the system, together with a Bayesian decision rule, are used to classify the incoming ancillas as having either high or low ergotropy (maximum extractable work). The former are allowed to leave, while the latter are redirected for further processing, aimed at increasing their ergotropy further. The ancillas play the role of a quantum battery, and the collision model, therefore, implements a Maxwell demon. To make the process autonomous and with a well-defined limit cycle, the information collected by the demon is reset after each collision by means of a cold heat bath.

Solar powered a wearable Electrocardiography (ECG) device with battery storage

In this article, we propose a wearable ECG device that can be continuously powered by both the sun and artificial lighting via battery charging. The ECG signal acquired by the AD8232 wearable sensor associated with Arduino Nano is sent to the smartphone via Bluetooth. To study the feasibility of solar powered wearable gadget, we have conducted several experiments to analyze the charging speed in both outdoor and indoor conditions. For fully charging 1200 mAh battery, the two solar panels require periods of 5 - 11 hours and 1698 - 1942 hours for outdoor and indoor conditions respectively. The study has shown that the indoor charging is far ineffective as compared to outdoor charging due to spectral mismatch. The current consumption of the device is low and the fully charged battery can act as a buffer to sustain the device for 48 ∼ 60 hours without the need of any further charging.

Grid-Tie Rotating Solar Rooftop System Using Atmega

This paper presents a grid-tie rotating solar rooftop system solar power project which is powered by using Atmega 328 microcontroller. It includes solar panel, LCD display, and battery charging circuit and an inverter circuit with sun tracking capability. This project represents whether a particular industrial or residential load would be powered by the photovoltaic panel or the company. This project is based on Atmega 328 micro-controller which controls the solar array by rotating it consistently with the position of sun. This energy obtained from the solar array is then stored in battery which is then sent back to power the domestic or industrial area. The remaining energy is then reverted to the power house through the gird-tie system. Hence with the assistance of this project, power usage can be reduced by the renewable source of energy and profit can be earned with the help of the power which is fed back to the grid.