Using Machine Learning for the Classification of the Remaining Useful Cycles in Lithium-Ion Batteries

2021 ◽  
Author(s):  
Harry Coutts ◽  
Qing Wang
Keyword(s):  
User Interface ◽  
Lithium Ion ◽  
Rate Of Change ◽  
Nearest Neighbours ◽  
Single Discharge ◽  
Discharge Curve ◽  
Battery Technology ◽  
And Storage ◽  
Potential Use

Abstract In order to keep up with the increasing focus on renewable energy, the demand for new battery technology and peripherals has likewise increased greatly. Given the relatively slow rate of change of new battery chemistry and technology, it is the peripherals to the batteries that are often relied upon to provide this necessary increase in performance. The 18650 battery with Lithium-Ion internal chemistry is one of the most widely used batteries and is depended upon in many industries to provide power portability and storage. Using an extensive freely available dataset compromising of the charge cycles of 121 18650 batteries, this paper evaluates multiple algorithms’ effectiveness at predicting the remaining useful cycles of a battery from a single discharge curve. Upon evaluation of the algorithms, ‘Weighted K Nearest Neighbours’ was shown to be the most accurate model and was further improved to ensure that the maximum accuracy was acquired. Finally, a user interface was created to allow for the demonstration of a potential use case for the model. This model and user interface show the potential for easy testing of batteries to determine the number of remaining useful cycles. This makes the possibility of re-purposing or extending the initial purpose of these batteries much greater, which is preferable from both an economic standpoint and an ecological one.

The Electrochemical Property of Cobalt Borate as a Novel Anode Material for Lithium-Ion Battery

2011 ◽  
Vol 236-238 ◽  
pp. 876-879 ◽  
Author(s):  
Xi Xi Shi ◽  
Xing Jiang Liu ◽  
Liang Jie Yuan
Keyword(s):  
Electrochemical Properties ◽  
Lithium Ion Battery ◽  
Anode Material ◽  
Electrochemical Property ◽  
Negative Electrode ◽  
Lithium Ion ◽  
Initial Discharge ◽  
Discharge Curve ◽  
Subsequent Calcination ◽  
Potential Use

Co2B2O5 was synthesized by the rheological phase treatment, followed by ball-milling and subsequent calcination in oxygen atmosphere. The electrochemical properties of this material as a negative electrode for lithium-ion battery were investigated. There are two plateaus with potentials at 0.83 and 0.75 V, respectively, on the first discharge curve. The initial discharge and charge capacities of Co2B2O5 are 1048 and 587 mAh g−1, respectively. The capacity retains 355 mAh g−1 after 10 cycles. The results indicate that Co2B2O5 has potential use in lithium-ion battery as a novel anode material.

MODERN PROBLEMATICS AND ANALYSIS OF EFFICIENCY OF APPLICATION OF DIFFERENT APPROACHES TO DESTRUCTION OF INFORMATION ON MAGNETIC MEDIA

2019 ◽  
Vol 2 (12) ◽  
pp. 154-164
Author(s):  
O. Semenenko ◽  
O. Vodchyts ◽  
V. Koverga ◽  
R. Lukash ◽  
O. Lutsenko
Keyword(s):  
Armed Forces ◽  
Information Storage ◽  
Storage Device ◽  
Magnetic Media ◽  
Long Term Storage ◽  
Physical Impact ◽  
And Storage ◽  
Term Storage

The introduction and active use of information transmission and storage systems in the Ministry of Defense (MoD) of Ukraine form the need to develop ways of guaranteed removal of data from media after their use or long-term storage. Such a task is an essential component of the functioning of any information security system. The article analyzes the problems of guaranteed destruction of information on magnetic media. An overview of approaches to the guaranteed destruction of information on magnetic media of different types is presented, and partial estimates of the effectiveness of their application are given by some generally accepted indicators of performance evaluation. The article also describes the classification of methods of destruction of information depending on the influence on its medium. The results of the analysis revealed the main problems of application of software methods and methods of demagnetization of the information carrier. The issue of guaranteed destruction of information from modern SSD devices, which are actively used in the formation of new systems of information accumulation and processing, became particularly relevant in the article. In today's conditions of development of the Armed Forces of Ukraine, methods of mechanical and thermal destruction are more commonly used today. In the medium term, the vector of the use of information elimination methods will change towards the methods of physical impact by the pulsed magnetic field and the software methods that allow to store the information storage device, but this today requires specialists to develop new ways of protecting information in order to avoid its leakage.

scholarly journals Synthesis, Structure and Diffusion Pathways of Fast Lithium-Ion Conductors in the Polymorphs α- and β-Li8SnP4

2021 ◽  
Author(s):  
Thomas F Fässler ◽  
Stefan Strangmüller ◽  
Henrik Eickkhoff ◽  
Wilhelm Klein ◽  
Gabriele Raudaschl-Sieber ◽  
...  
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Lithium Ion ◽  
Conducting Materials ◽  
Increasing Demand ◽  
Battery Technology ◽  
Lithium Ion Conductors ◽  
And Diffusion ◽  
Ion Conductors

The increasing demand for a high-performance and low-cost battery technology promotes the search for Li+-conducting materials. Recently, phosphidotetrelates and aluminates were introduced as an innovative class of phosphide-based Li+-conducting materials...

scholarly journals A Review on Electric Vehicles: Technologies and Challenges

Smart Cities ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 372-404
Author(s):  
Julio A. Sanguesa ◽  
Vicente Torres-Sanz ◽  
Piedad Garrido ◽  
Francisco J. Martinez ◽  
Johann M. Marquez-Barja
Keyword(s):  
Electric Vehicles ◽  
Lithium Ion ◽  
Future Prospects ◽  
Academic Communities ◽  
Market Situation ◽  
Battery Technology ◽  
Battery Energy ◽  
New Research ◽  
Near Future ◽  
Technology Trends

Electric Vehicles (EVs) are gaining momentum due to several factors, including the price reduction as well as the climate and environmental awareness. This paper reviews the advances of EVs regarding battery technology trends, charging methods, as well as new research challenges and open opportunities. More specifically, an analysis of the worldwide market situation of EVs and their future prospects is carried out. Given that one of the fundamental aspects in EVs is the battery, the paper presents a thorough review of the battery technologies—from the Lead-acid batteries to the Lithium-ion. Moreover, we review the different standards that are available for EVs charging process, as well as the power control and battery energy management proposals. Finally, we conclude our work by presenting our vision about what is expected in the near future within this field, as well as the research aspects that are still open for both industry and academic communities.

A data-driven intelligent hybrid method for health prognosis of lithium-ion batteries

2021 ◽  
pp. 1-11
Author(s):  
Vimal Singh Bisht ◽  
Mashhood Hasan ◽  
Hasmat Malik ◽  
Sandeep Sunori
Keyword(s):  
Health Assessment ◽  
Lithium Ion ◽  
Transformation Method ◽  
Internal Resistance ◽  
Remaining Useful Life ◽  
Health Index ◽  
Great Saving ◽  
Useful Life ◽  
And Storage ◽  
Value Of Health

For estimation of the RUL (Remaining useful life) of Lithium ion battery we are required to do its health assessment using online facilities. For identifying the health of a battery its internal resistance and storage capacity plays the major role. However the estimation of both these parameters is not an easy job and requires lot of computational work to be done. So to overcome this constraint an easy alternate way is simulated in the paper through which we can estimate the RUL. For formation of a linear relationship between health index of the battery (HI) and its actual capacity used of power transformation method is done and later on to validate the result a comparison study is done with Pearson & Spearman methods. Transformed value of Health Index is used for developing a neural network. The results demonstrated in the paper shows the feasibility of the proposed technique resulting in great saving of time

Impact of ICD-9 to ICD-10 Coding Transition on Prevalence Trends in Neurology

2021 ◽  
Vol 11 (5) ◽  
pp. e612-e619
Author(s):  
Ali G. Hamedani ◽  
Leah Blank ◽  
Dylan P. Thibault ◽  
Allison W. Willis
Keyword(s):  
Time Series ◽  
Status Epilepticus ◽  
Interrupted Time Series ◽  
International Classification Of Diseases ◽  
Disease Prevalence ◽  
Rate Of Change ◽  
International Classification ◽  
Classification Of Diseases ◽  
Icd 10

ObjectiveTo determine the effect of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) to International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) coding transition on the point prevalence and longitudinal trends of 16 neurologic diagnoses.MethodsWe used 2014–2017 data from the National Inpatient Sample to identify hospitalizations with one of 16 common neurologic diagnoses. We used published ICD-9-CM codes to identify hospitalizations from January 1, 2014, to September 30, 2015, and used the Agency for Healthcare Research and Quality's MapIt tool to convert them to equivalent ICD-10-CM codes for October 1, 2015–December 31, 2017. We compared the prevalence of each diagnosis before vs after the ICD coding transition using logistic regression and used interrupted time series regression to model the longitudinal change in disease prevalence across time.ResultsThe average monthly prevalence of subarachnoid hemorrhage was stable before the coding transition (average monthly increase of 4.32 admissions, 99.7% confidence interval [CI]: −8.38 to 17.01) but increased after the coding transition (average monthly increase of 24.32 admissions, 99.7% CI: 15.71–32.93). Otherwise, there were no significant differences in the longitudinal rate of change in disease prevalence over time between ICD-9-CM and ICD-10-CM. Six of 16 neurologic diagnoses (37.5%) experienced significant changes in cross-sectional prevalence during the coding transition, most notably for status epilepticus (odds ratio 0.30, 99.7% CI: 0.26–0.34).ConclusionsThe transition from ICD-9-CM to ICD-10-CM coding affects prevalence estimates for status epilepticus and other neurologic disorders, a potential source of bias for future longitudinal neurologic studies. Studies should limit to 1 coding system or use interrupted time series models to adjust for changes in coding patterns until new neurology-specific ICD-9 to ICD-10 conversion maps can be developed.

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