Electro-aging model development of nickel-manganese-cobalt lithium-ion technology validated with light and heavy-duty real-life profiles

2020 ◽  
Vol 28 ◽  
pp. 101265 ◽  
Author(s):  
Md Sazzad Hosen ◽  
Danial Karimi ◽  
Theodoros Kalogiannis ◽  
Ashkan Pirooz ◽  
Joris Jaguemont ◽  
...  
Keyword(s):  
Model Development ◽  
Real Life ◽  
Lithium Ion ◽  
Heavy Duty ◽  
Aging Model ◽  
Nickel Manganese

An Empirical Aging Model for Lithium-Ion Battery and Validation Using Real-Life Driving Scenarios

2020 ◽  
Author(s):  
Zhuo Yang ◽  
Abdullah-Al Mamun ◽  
Sandeep Makam ◽  
Carrie Okma
Keyword(s):  
Lithium Ion Battery ◽  
Real Life ◽  
Lithium Ion ◽  
Aging Model

Aging model development based on multidisciplinary parameters for lithium‐ion batteries

2019 ◽  
Vol 44 (4) ◽  
pp. 2801-2818 ◽  
Author(s):  
Akhil Garg ◽  
Su Shaosen ◽  
Liang Gao ◽  
Xiongbin Peng ◽  
Prashant Baredar
Keyword(s):  
Lithium Ion Batteries ◽  
Model Development ◽  
Lithium Ion ◽  
Aging Model

scholarly journals Application of Artificial Intelligence (AI) for Sustainable Highway and Road System

Symmetry ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 60
Author(s):  
Md Arifuzzaman ◽  
Muhammad Aniq Gul ◽  
Kaffayatullah Khan ◽  
S. M. Zakir Hossain
Keyword(s):  
Experimental Data ◽  
High Performance ◽  
Adhesion Force ◽  
Model Development ◽  
Real Life ◽  
Bayesian Optimization ◽  
Support Vector ◽  
Adhesive Properties ◽  
Bayesian Optimization Algorithm ◽  
The Mean

There are several environmental factors such as temperature differential, moisture, oxidation, etc. that affect the extended life of the modified asphalt influencing its desired adhesive properties. Knowledge of the properties of asphalt adhesives can help to provide a more resilient and durable asphalt surface. In this study, a hybrid of Bayesian optimization algorithm and support vector regression approach is recommended to predict the adhesion force of asphalt. The effects of three important variables viz., conditions (fresh, wet and aged), binder types (base, 4% SB, 5% SB, 4% SBS and 5% SBS), and Carbon Nano Tube doses (0.5%, 1.0% and 1.5%) on adhesive force are taken into consideration. Real-life experimental data (405 specimens) are considered for model development. Using atomic force microscopy, the adhesive strength of nanoscales of test specimens is determined according to functional groups on the asphalt. It is found that the model predictions overlap with the experimental data with a high R2 of 90.5% and relative deviation are scattered around zero line. Besides, the mean, median and standard deviations of experimental and the predicted values are very close. In addition, the mean absolute Error, root mean square error and fractional bias values were found to be low, indicating the high performance of the developed model.

The Role of Business Model Development in the Ex-Post Creation of Online Entrepreneurial Opportunity

2017 ◽  
pp. 818-842
Author(s):  
İpek Koçoğlu ◽  
Ali E. Akgun ◽  
Halit Keskin
Keyword(s):  
Business Model ◽  
Model Development ◽  
Real Life ◽  
Social Infrastructure ◽  
Entrepreneurial Opportunity ◽  
Ex Post ◽  
The Creation ◽  
Online Entrepreneurs ◽  
Business Model Development

This research aims to tap into the largely opaque origins of opportunities in the online context by exploring the role of business model development as a key for the creation and configuration of the mental and social infrastructure necessary for the emergence of online entrepreneurial opportunity. Tracing the sources of online entrepreneurial opportunity reveals that successful online entrepreneurs claim to proactively manage their environment in terms of unfolding actions which result in the enactment and creation of entrepreneurial opportunities. Based on this real life contention and the emerging view of entrepreneurial opportunity, this chapter aims to achieve a deeper understanding on the creation of online opportunities through a quantitative study empirically testing the link between business model development and online entrepreneurial opportunity as creation in order to shed light on how business model generation shapes the way entrepreneurs socially co-create opportunities in the online context.

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