scholarly journals A Study on State of Charge and State of Health Estimation in Consideration of Lithium-Ion Battery Aging

2020 ◽  
Vol 12 (24) ◽  
pp. 10451
Author(s):  
Woongchul Choi
Keyword(s):  
Energy Storage ◽  
Rapid Development ◽  
Electric Energy ◽  
Lithium Ion ◽  
State Of Charge ◽  
Pollutant Emissions ◽  
Storage Device ◽  
Battery Management System ◽  
State Of Health ◽  
Li Ion

Due to rapid development of industries around the world, more and more consumption of fossil fuels was unavoidable, resulting in serious environmental problems. The many pollutant emissions—a major contributor to global warming and weather pattern change—have been at the center of concern. In order to solve this issue, research and development of electric vehicles and energy storage systems made great progress and successfully introduced products in the market. Nevertheless, accurate measurement of the state of charge (SOC) and state of health (SOH) of the Li-ion battery, the most popular electric energy storage device, has not yet been fully understood due to the nature of battery aging. In this study, ideas to estimate the capacity and ultimately SOC and SOH of Li-ion batteries are discussed. With these ideas, we expect not only to accommodate the issues with battery aging but also to implement an algorithm for an on-board battery management system. The key idea is to chase and monitor internal resistance continuously in a fast and reliable manner in real time. With further investigation of the key idea, we also fully expect to come up with a reliable SOC and SOH measurement scheme in the near future.

Diagnostics and Prognostics of Lithium-Ion Batteries

2015 ◽  
Author(s):  
Zhimin Xi ◽  
Rong Jing ◽  
Cheol Lee
Keyword(s):  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Remaining Useful Life ◽  
State Of Charge ◽  
Data Driven ◽  
State Of Health ◽  
Li Ion Batteries ◽  
Battery State Of Charge ◽  
Li Ion ◽  
Useful Life

This paper investigates recent research on battery diagnostics and prognostics especially for Lithium-ion (Li-ion) batteries. Battery diagnostics focuses on battery models and diagnosis algorithms for battery state of charge (SOC) and state of health (SOH) estimation. Battery prognostics elaborates data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH. Readers will learn not only basics but also very recent research developments on battery diagnostics and prognostics.

scholarly journals Direct X-Ray Imaging as a Tool for Understanding Multiphysics Phenomena in Energy Storage

2016 ◽  
Vol 13 (3) ◽  
Author(s):  
George J. Nelson ◽  
Zachary K. van Zandt ◽  
Piyush D. Jibhakate
Keyword(s):  
Energy Storage ◽  
Lithium Ion ◽  
Ex Situ ◽  
Storage Device ◽  
Li Ion Batteries ◽  
X Ray ◽  
X Ray Imaging ◽  
Wide Range ◽  
Li Ion ◽  
Insight Into

The lithium-ion battery (LIB) has emerged as a key energy storage device for a wide range of applications, from consumer electronics to transportation. While LIBs have made key advancements in these areas, limitations remain for Li-ion batteries with respect to affordability, performance, and reliability. These challenges have encouraged the exploration for more advanced materials and novel chemistries to mitigate these limitations. The continued development of Li-ion and other advanced batteries is an inherently multiscale problem that couples electrochemistry, transport phenomena, mechanics, microstructural morphology, and device architecture. Observing the internal structure of batteries, both ex situ and during operation, provides a critical capability for further advancement of energy storage technology. X-ray imaging has been implemented to provide further insight into the mechanisms governing Li-ion batteries through several 2D and 3D techniques. Ex situ imaging has yielded microstructural data from both anode and cathode materials, providing insight into mesoscale structure and composition. Furthermore, since X-ray imaging is a nondestructive process studies have been conducted in situ and in operando to observe the mechanisms of operation as they occur. Data obtained with these methods has also been integrated into multiphysics models to predict and analyze electrode behavior. The following paper provides a brief review of X-ray imaging work related to Li-ion batteries and the opportunities these methods provide for the direct observation and analysis of the multiphysics behavior of battery materials.

scholarly journals Super-Capacitors as an Alternative for Renewable Energy Unstable Supply

2018 ◽  
Vol 1 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Collins Ineneji ◽  
Olusola Bamisile ◽  
Mehmet Kuşaf
Keyword(s):  
Lithium Ion ◽  
Time Frame ◽  
The State ◽  
State Of Charge ◽  
Storage Device ◽  
Li Ion Battery ◽  
Super Capacitor ◽  
Simulink Model ◽  
Li Ion ◽  
Super Capacitors

In this article a Lithium battery and super-capacitors performance for energy storage in renewable is compared. A photo-voltaic system is considered with Lithium-ion (Li-ion) battery, then with a super-capacitor compared as the storage device. The super-capacitor consists of 10 capacitors connected in series and one in parallel. The comparison is made based on the state of charge and the output voltage of the two storage devices. Matlab/Simulink model is developed to make the analysis of the two systems. Li-ion battery displayed a uniform voltage of 0.9 V while the super-capacitor accumulated 250 V; when the simulation was done within a specific time frame. The Hybrid system however, drew a lower voltage of 15 V but a more stable supply is achieved over time. While the state of charge of the battery is constant over the time of simulation, the super-capacitor increases with time. The details of the simulation are presented in the full paper.

scholarly journals Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation

Energies ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 446 ◽  
Author(s):  
Muhammad Umair Ali ◽  
Amad Zafar ◽  
Sarvar Hussain Nengroo ◽  
Sadam Hussain ◽  
Muhammad Junaid Alvi ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Management System ◽  
Lithium Ion ◽  
State Of Charge ◽  
Estimation Methods ◽  
Battery Management System ◽  
Battery Management ◽  
Li Ion Battery ◽  
Soc Estimation ◽  
Li Ion

Energy storage system (ESS) technology is still the logjam for the electric vehicle (EV) industry. Lithium-ion (Li-ion) batteries have attracted considerable attention in the EV industry owing to their high energy density, lifespan, nominal voltage, power density, and cost. In EVs, a smart battery management system (BMS) is one of the essential components; it not only measures the states of battery accurately, but also ensures safe operation and prolongs the battery life. The accurate estimation of the state of charge (SOC) of a Li-ion battery is a very challenging task because the Li-ion battery is a highly time variant, non-linear, and complex electrochemical system. This paper explains the workings of a Li-ion battery, provides the main features of a smart BMS, and comprehensively reviews its SOC estimation methods. These SOC estimation methods have been classified into four main categories depending on their nature. A critical explanation, including their merits, limitations, and their estimation errors from other studies, is provided. Some recommendations depending on the development of technology are suggested to improve the online estimation.

scholarly journals Factors Affecting Capacity Design of Lithium-Ion Stationary Batteries

Batteries ◽  
2019 ◽  
Vol 5 (3) ◽  
pp. 58 ◽  
Author(s):  
Choong-koo Chang
Keyword(s):  
Energy Storage ◽  
Lithium Ion Batteries ◽  
Power Plants ◽  
Electric Energy ◽  
Lithium Ion ◽  
Storage Device ◽  
Capacity Design ◽  
Factors Affecting ◽  
Lead Acid Batteries ◽  
Lead Acid

Lead-acid batteries are currently the most popular for direct current (DC) power in power plants. They are also the most widely used electric energy storage device but too much space is needed to increase energy storage. Lithium-ion batteries have a higher energy density, allowing them to store more energy than other types of batteries. The purpose of this paper is to elaborate on the factors affecting the capacity design of lithium-ion stationary batteries. Factors that need to be considered in calculating the capacity of stationary lithium-ion batteries are investigated and reviewed, and based on the results, a method of calculating capacity of stationary lithium-ion batteries for industrial use is proposed. In addition, the capacity and area required for replacing the lead-acid batteries for nuclear power plants with lithium-ion batteries are reviewed as part of this case study.

scholarly journals Future Challenges in State of Charge Estimation for Lithium-Ion Batteries

2020 ◽  
Vol 10 (1) ◽  
pp. 215-223
Keyword(s):  
Energy Storage ◽  
Electric Vehicles ◽  
Storage System ◽  
Lithium Ion ◽  
Energy Storage System ◽  
Online Control ◽  
State Of Charge ◽  
Battery Management System ◽  
Battery Management ◽  
Future Challenges

Energy storage system is an Emerging technology in past few decades. The Energy storage system is an important technology for Electric Vehicles, Hybrid Electric Vehicles (EV) and (HVE) and Micro grid system. The Battery Management System (BMS) is need to be control and monitor the various parameter of the battery such as SOC , SOH, C-Rate, E-Rate ,Temperature , RVL , EOL and so on. However, the (SOC) State of Charge is an important estimation for the online control and BMS monitoring. The SOC is the challenging task when online control and BMS monitoring. This various technique or methods available to estimate the SOC and alsoits represents the Elaboration for various methods of SOC estimation and its drawback. Past five years, where the tendency of the Estimation technique has been oriented towards a mixture of probabilistic techniques and some Artificial Intelligence.

scholarly journals Lifetime Degradation Cost Analysis for Li-Ion Batteries in Capacity Markets using Accurate Physics-Based Models

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2816 ◽  
Author(s):  
Ahmed Gailani ◽  
Maher Al-Greer ◽  
Michael Short ◽  
Tracey Crosbie ◽  
Nashwan Dawood
Keyword(s):  
Energy Storage ◽  
Active Material ◽  
Lithium Ion ◽  
Operating Conditions ◽  
Storage Device ◽  
Li Ion Batteries ◽  
Degradation Model ◽  
Capacity Markets ◽  
Degradation Models ◽  
Li Ion

Capacity markets (CM) are energy markets created to ensure energy supply security. Energy storage devices provide services in the CMs. Li-ion batteries are a popular type of energy storage device used in CMs. The battery lifetime is a key factor in determining the economic viability of Li-ion batteries, and current approaches for estimating this are limited. This paper explores the potential of a lithium-ion battery to provide CM services with four de-rating factors (0.5 h, 1 h, 2 h, and 4 h). During the CM contract, the battery experiences both calendar and cycle degradation, which reduces the overall profit. Physics-based battery and degradation models are used to quantify the degradation costs for batteries in the CM to enhance the previous research results. The degradation model quantifies capacity losses related to the solid–electrolyte interphase (SEI) layer, active material loss, and SEI crack growth. The results show that the physics-based degradation model can accurately predict degradation costs under different operating conditions, and thus can substantiate the business case for the batteries in the CM. The simulated CM profits can be increased by 60% and 75% at 5 °C and 25 °C, respectively, compared to empirical and semiempirical degradation models. A sensitivity analysis for a range of parameters is performed to show the effects on the batteries’ overall profit margins.

scholarly journals Advanced Battery Materials Research at Nazarbayev University: Review

2021 ◽  
Vol 23 (3) ◽  
pp. 199
Author(s):  
I. Kurmanbayeva ◽  
A. Mentbayeva ◽  
A. Nurpeissova ◽  
Z. Bakenov
Keyword(s):  
Energy Storage ◽  
Rapid Development ◽  
Lithium Ion ◽  
Energy Storage Materials ◽  
Storage Device ◽  
Electrochemical Characteristics ◽  
Energy Storage Devices ◽  
Battery Materials ◽  
Storage Devices ◽  
Control Configuration

With the rapid development of new and advanced technologies, the request for energy storage device with better electrochemical characteristics is increasing as well. Therefore, the search and development for more novel and efficient energy storage components are imperative. In Kazakhstan there are several groups that were established to conduct research in the field of energy storage devices. One of them is professor Mansurov’s research group with we have a long time fruitful collaboration. Group at Nazarbayev University do research in design and investigation of advanced energy storage materials for high performance energy storage devices, including lithium-ion batteries, sodium-ion batteries, lithium-sulfur batteries, and aqueous rechargeable batteries, employing strategies as nanostructuring, nano/micro combination, hybridization, pore-structure control, configuration design, 3D printing, surface modification, and composition optimization. This manuscript reviews research on advanced battery materials, provided by Nazarbayev University scientists since the last 10 years.

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