General parameter identification procedure and comparative study of Li-Ion battery models

Accurate and robust battery models are required for the proper design and operation of battery-powered systems. However, the parametric identification of these models requires extensive and sophisticated methods to achieve enough accuracy. This article shows a general and straightforward procedure, based on Simulink and Simscape of Matlab, to build and parameterize Li-ion battery models. The model parameters are identified with the Optimization Toolbox of Matlab, by means of an iterative process to minimize the sum of the squared errors. In addition, this procedure is applied to a selection of five different models available in the literature for electric vehicle applications, obtaining a comparative study between them. Also, the performance of each battery model is evaluated through two current profiles from two driven profiles known as the Urban Driving Cycle (ECE-15 or UDC) and the Hybrid Pulse Power Characterization (HPPC). The experimental results obtained from a Li-ion polymer battery have been compared with the data provided by the models, confirming the effectiveness of the proposed procedure, and also, the application field of each model as a function of the required accuracy.This work was supported by the Ministry of Economy and Competitiveness and FEDER funds through the research project “Storage and Energy Management for Hybrid Electric Vehicles based on Fuel Cell, Battery, and Supercapacitors”—ELECTRICAR-AG-(DPI2014- 53685-C2-1-R)

Dynamic modeling and simulation of the MUN Explorer autonomous underwater vehicle with a fuel cell system

The actual power system of the MUN Explorer Autonomous Underwater Vehicles (AUVs) uses 11 Lithium-ion (Li-ion) batteries as a main energy source. The batteries are directly connected into the BLDC motor to run the MUN Explorer for the desired operating sequence. This paper presents a dynamic model of the MUN Explorer AUV including a fuel cell system to run under the same operating conditions as suggested by its manual. A PI controller was applied into the dynamic model to maintain the operating conditions such as motor speed, DC bus voltage and the load torque, due to its advantages and simplicity for tuning technique. The MUN Explorer AUV dynamic model with a fuel cell is a proposed system to increase the power capacity, it is better to use a simple controller to see the system behaviors. The simulation of the entire system dynamics model along with the proportional-integral (PI) controller is done in MATLAB / Simulink. The simulation results are included in the paper. The DC bus voltage is measured at 48 V, and the motor speed is 20 (rad/s), which is equivalent to 190 (rpm). The power profile of the fuel cell and battery are presented and plotted against time. The PI controller gives satisfactory results in terms of maintaining the same operating conditions of the MUN Explorer AUV with a fuel cell

Análisis del perfil de tensión por la inserción de motocicletas eléctricas en un usuario residencial mediante un modelo cuantitativo

En la actualidad la utilización de motocicletas eléctricas es cada vez más común entre las personas debido a que la movilidad eléctrica está en constante crecimiento, a diferencia de los vehículos eléctricos, las motocicletas eléctricas se pueden cargar a cualquier hora del día debido a que su autonomía es inferior. El presente trabajo estudia el comportamiento del perfil de tensión del usuario residencial, debido a la inserción de carga de la motocicleta eléctrica en diferentes periodos de tiempo del día. Basándose en cuatro escenarios de recarga, considerando las horas de mayor y menor demanda del usuario para poder determinar la afectación a la red eléctrica. Finalmente, se determina el periodo de tiempo idóneo para la conexión de la motocicleta eléctrica a la red, indicando el régimen de carga adecuado para el usuario.Nowadays the use of electric motorcycles is becoming more and more common among people due to the fact that electric mobility is constantly rising, in contrast to electric vehicles, electric motorcycles can be loaded at any time of the day because their lower autonomy. The present research work studies the behavior of the voltage profile of the residential user, as a result of the insertion the electric motorcycle charge in different periods of time of the day. Based on four recharge scenarios, considering the hours of highest and lowest user demand in order to determine the impact on the electrical network. Finally, the ideal period of time is determined for the connection of the electric motorcycle to the network, suggesting the appropriate load regime for the user

Particle swarm optimised fuzzy controller for charging–discharging and scheduling of battery energy storage system in MG applications

© 2020 The Authors Aiming at reducing the power consumption and costs of grids, this paper deals with the development of particle swarm optimisation (PSO) based fuzzy logic controller (FLC) for charging–discharging and scheduling of the battery energy storage systems (ESSs) in microgrid (MG) applications. Initially, FLC was developed to control the charging–discharging of the storage system to avoid mathematical calculation of the conventional system. However, to improve the charging–discharging control, the membership function of the FLC is optimised using PSO technique considering the available power, load demand, battery temperature and state of charge (SOC). The scheduling controller is the optimal solution to achieve low-cost uninterrupted reliable power according to the loads. To reduce the grid power demand and consumption costs, an optimal binary PSO is also introduced to schedule the ESS, grid and distributed sources under various load conditions at different times of the day. The obtained results proved that the robustness of the developed PSO based fuzzy control can effectively manage the battery charging–discharging with reducing the significant grid power consumption of 42.26% and the costs of the energy usage by 45.11% which also demonstrates the contribution of the research

Challenges and New Trends in Power Electronic Devices Reliability

The rapid increase in new power electronic devices and converters for electric transportation and smart grid technologies requires a deepanalysis of their component performances, considering all of the different environmental scenarios, overload conditions, and high stressoperations. Therefore, evaluation of the reliability and availability of these devices becomes fundamental both from technical and economicalpoints of view. The rapid evolution of technologies and the high reliability level offered by these components have shown that estimating reliability through the traditional approaches is difficult, as historical failure data and/or past observed scenarios demonstrate. With the aim topropose new approaches for the evaluation of reliability, in this book, eleven innovative contributions are collected, all focusedon the reliability assessment of power electronic devices and related components