Is battery energy storage a feasible solution for lowering the operational costs of electric vehicle fast charging and reducing its impact on local grids? The thesis project aims at answering this question for the Swedish scenario. The proposed solution (fast charging station coupled with storage) is modelled in MATLAB, and its performance is tested in the framework provided by Swedish regulati...

This paper presents a smart DC micro-grid system for plug-in electric vehicle charging and discharging. This DC microgrid integrates the plug-in battery electric vehicles (BEVs) & plug-in hybrid electric vehicles (HEVs) together with the AC supply module, storage energy module, and intelligent control module. By connecting with the AC power source and the storage energy module, this grid can of...

This paper presents the building process of a small scale, cost effective portable solar power supply. The end product comes with a solar panel to capture and convert solar energy to electrical energy. The electrical energy was stored in a rechargeable battery with a charge controller to regulate the charging process. A battery level indicator was in place to monitor the battery storage capacit...

The Multi input dc–dc boost converter is used for hybridizing alternative energy sources such as photovoltaic(PV),fuel-cell(FC) for generation and battery for storage purpose is designed and simulated with a minimum number of switches and also easy control circuit. The system is applicable for DC loads. Control strategy has been considered to achieve permanent power supply to the load via the p...

A hybrid energy storage system (HESS) composed of a battery and super-capacitor (SC) can make full use of advantages in energy and power density, which can further improve the performance of hybrid electric vehicles (HEV). Most studies have been limited to configuration and control to reduce the burden and prolong the life cycle of the battery, seldom focusing on the redesign of energy manageme...

A linear programming (LP) routine was implemented to model optimal energy storage dispatch schedules for peak net load management and demand charge minimization in a grid-connected, combined photovoltaic-battery storage system (PV+ system). The LP leverages PV power output and load forecasts to minimize peak loads subject to elementary dynamical and electrical constraints of the PV+ system. Bat...

Non-road electric vehicles (NREVs) such as forklifts and golf carts utilize grid power to charge batteries, and today much of this power is utilized on-peak. Estimates are as high as 100 MW in SCE service territory alone. Since batteries are by nature an energy storage technology, many customers find that charging can be easily shifted away from system peak hours, saving them money and enhancin...

In order to improve battery technology understanding the capacity fading method in batteries is very important. Battery models can be used to predict their behavior under various operating conditions. Here we proposed a simple dynamic model of lithium-ion battery with MATLAB/Simulink to observe the output characteristics of this energy storage device. Dynamic simulations are carried out, includ...

This paper presents a low cost reduced instruction set computer (RISC) implementation of an intelligent ultra fast charger for a nickel–cadmium (Ni–Cd) battery. The charger employs a genetic algorithm (GA) trained generalized regression neural network (GRNN) as a key to ultra fast charging while avoiding battery damage. The tradeoff between mean square error (MSE) and the computational burden o...

Apart from energy generation, the storage and liberation of energy are among the major problems in establishing a sustainable energy supply chain. Herein we report the development of a rechargeable H2 battery which is based on the principle of the Ru-catalyzed hydrogenation of CO2 to formic acid (charging process) and the Ru-catalyzed decomposition of formic acid to CO2 and H2 (discharging proc...