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2016, The Scientific Bulletin of Electrical Engineering Faculty
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5 pages
1 file
The development of rechargeable electrochemical sources, especially those based on Li-ion technology, has opened the way for their use in various fields ranging from electronics and IT to electric cars. New ideas appear, such as using replaced the batteries from electrical vehicles in the development of energy storage devices for critical consumers such as Data Centers. New uses impose detecting the unfavorable operating conditions which may endanger the power supply of Data Centers. This paper, by modeling and simulation, analyzes some particular problems of Li-ion batteries that appear due to the differences in state of charge of the cells.
IEEE Transactions on Energy Conversion, 2011
Grid connected electrical storage has a high potential to support the transition towards a reliable decentralized and renewable energy supply. It is expected that lithium-ion batteries will play a major role in this transition, because of their high energy density and of the potential capacity that is offered by plug-in (hybrid) electric vehicles. The use of lithiumion batteries in grid support may result in additional degradation. Intelligent control of these batteries can assure that the additional degradation rate is minimized and their utilization is costeffective. It is, therefore, imperative that the intelligent control has an excellent understanding of the aging behavior of the battery, so it can maximize the benefits for the battery owner. Based on this logic, cycle life experiments were performed on lithium polymer cells in which the cell life dependence on the depth of discharge was investigated. Other cell characteristics that were studied include the equivalent series resistance and the efficiency.
Computers & Chemical Engineering, 2011
The lithium-ion battery is an ideal candidate for a wide variety of applications due to its high energy/power density and operating voltage. Some limitations of existing lithium-ion battery technology include underutilization, stress-induced material damage, capacity fade, and the potential for thermal runaway. This paper reviews efforts in the modeling and simulation of lithium-ion batteries and their use in the design of better batteries. Likely future directions in battery modeling and design including promising research opportunities are outlined.
IEEE Transactions on Smart Grid
The intermittency of renewable energy sources makes the use of energy storage systems (ESSs) indispensable in modern power grids for supply-demand balancing and reliability enhancement. Besides pumped-storage hydroelectric power stations, energy storage deployment worldwide is still quite low. However, the status quo might rapidly change as the energy storage technologies are growing and facilitating market regulations are being ratified. Battery energy storage systems (BESSs), Li-ion batteries in particular, possess attractive properties and are taking over other types of storage technologies. Thus, in this article, we review and evaluate the current state of the art in managing grid-connected Li-ion BESSs and their participation in electricity markets. The review mainly includes battery modeling, the architecture of battery management systems (BMSs), the incorporation of BESSs for electricity market services, global utility-scale battery storage facilities, and challenges in implementing and managing grid-connected BESSs.
2019 IEEE Power & Energy Society General Meeting (PESGM), 2019
This paper presents the modeling and simulation study of a utility-scale MW level Li-ion based battery energy storage system (BESS). A runtime equivalent circuit model, including the terminal voltage variation as a function of the state of charge and current, connected to a bidirectional power conversion system (PCS), was developed based on measurements from an operational utility-scale battery demonstrator. The accelerated response of the battery unit was verified by pulse discharging it from maximum to minimum SOC and its application for grid resiliency was demonstrated through an example droop control frequency response. For the purpose of validating the equivalent BESS model, experimental results retrieved from the LG&E and KU E.W. Brown solar facility, which houses a 1MW/2MWh operational BESS and a 1MVA variable load bank were compared with simulation results from an equivalent model developed in PSCAD/EMTDC software, which is a tool typically employed for transient analysis.
—Over the last decade the use of battery energy storage systems (BESS) on different applications, such as smart grid and electric vehicles, has been increasing rapidly. Therefore, the development of an electrical model of a battery, capable to estimate the states and the parameters of a battery during lifetime is of critical importance. To increase the lifetime, safety and energy usage, appropriate algorithms are used to estimate, with the lowest estimation error, the state of charge of the battery, the battery impedance, as well as its remaining capacity. This paper focuses on the development of model-based online condition monitoring algorithms for Li-ion battery cells, which can be extended to battery modules and systems. The condition monitoring algorithms were implemented after considering an optimal trade-off between their accuracy and overall complexity. Index Terms—Battery energy storage systems (BESS), capacity, equivalent circuit model (ECM), internal resistance, model-based method, parameter identification, state of charge (SOC), state of health (SOH).
IRJET, 2020
Now a day, smart grids suffer from peak demands of electricity, which pushes the utility companies to resort to fossil fuels to satisfy the peak demands. Fossil fuels, such as natural gas, are the main cause of the global warming. This paper is about the design and implementation of an ESS made from disposed electric vehicle (EV) li-ion batteries. These batteries can hold up to 80% of their initial rated capacity. The proposed ESS uses support vector machine and logistic regression method to analyze battery efficiency and load demand. The charging of the ESS happens at low demand of electricity or when the renewable resources have an output. The discharge happens when there is a peak demand.
2009
Battery models capture the characteristics of reallife batteries, and can be used to predict their behavior under various operating conditions. In this paper, a dynamic model of lithium-ion battery has been developed with MATLAB/Simulink ® in order to investigate the output characteristics of lithium-ion batteries. Dynamic simulations are carried out, including the observation of the changes in battery terminal output voltage under different charging/discharging, temperature and cycling conditions, and the simulation results are compared with the results obtained from several recent studies. The simulation studies are presented for manifesting that the model is effective and operational.
International Journal of Engineering Works, 2020
The scope of this research work is the analysis and study of the rechargeable batteries. During this research, battery testbeds are developed for all under study battery technologies. A few hundreds of charging, discharging experimentation has been performed under a variety of charging profiles and discharging load patterns. These observations have been critically analyzed to capture the behavior of the batteries comprehensively. These behavioral profiles of these batteries have been utilized for developing an accurate battery model. The proposed model is a hybrid model composed of Diffusion model and combined electric circuit-based model, which accounts for nonlinearities of rate capacity effect, recovery effect, capacity fading, storage runtime and open circuit voltage, current-, temperature-, dependency to transient response. This proposed model would be a great help for energy aware circuit designing, because it's an equivalent circuit model that could be co-simulated in circuit simulation environment, like Matlab Simulink. A quantitative figure of merit for the selection of battery system for a specific microgrid application has been devised on the bases of important battery parameters.
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