Enhancing ASC Energy Storage: A Component-Based Modeling Approach

Abstract

Among various electrical energy storage technologies like batteries and ultracapacitors, asymmetrical supercapacitors (ASC) stand out as hybrid devices combining battery-like as well as ultracapacitor-like characteristics. Despite extensive research with respect to this device, a significant research gap has emerged – the lack of investigation into the relationship between positive electrode parameters and the performance of ASC. The presented research work comprises a comprehensive study of ASC employing statistical modeling with the design of experiment (DoE) methodology. Component-based approach adopted, offers a more efficient and cost-effective way to predict the behavior and performance of asymmetrical supercapacitor over conventional electrochemical-based methods. It allows the creation of predictive models based on existing data, reducing the need for extensive experimentation without compromising on research output. It has established correlations between these parameters and two vital performance metrics: specific capacitance and pulse current. The outcomes of this study offer valuable insights into the positive electrode factors directly influencing specific capacitance and pulse current in manganese dioxide-activated carbon-based supercapacitors. This knowledge holds the potential to enhance the performance of ASC, making them promising candidates for replacing conventional battery-supercapacitor combinations in various applications.

Keywords:

• capacitance
• modeling
• storage
• electrode: asymmetrical
• asymmetrical
• supercapacitor
• energy
• statistics
• energy storage

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Funding

The authors would like to acknowledge the management of Army Institute of Technology, Pune, India for financial support and permission for use of research facilities in Lt Col. Suhas Gogate Electrical Vehicle Lab (Research Grant – AIT-048-2021).

Notes on contributors

Mugdha Bhajekar

Mugdha Bhajekar is pursuing Ph.D. in Electrical Engineering at P.E.S. Modern College of Engineering affiliated to Savitribai Phule Pune University. She obtained her Bachelors’ degree from Gujarat University, India in 2002. She completed her Master’s degree in 2013 at PVG College of Engineering and Technology. She is working as an Assistant Professor in P.E.S. Modern College of Engineering, Pune, India. She has more than 18 years of teaching, administrative and industrial experience. She was Coordinator for a funded project. She has published 6+ papers in national/ international conferences and international journals. These papers can be found on her google scholar website. She has presented research papers at various locations in India. She has guided 02 PG students and many UG students. She was a part of the syllabus setting committee member. She is a member of the University of Women’s Association.

S. B. Abrish Aaditya

S. B. Abrish Aaditya is a dedicated junior student at the Army Institute of Technology, Pune, pursuing a degree in Electronics and Telecommunication Engineering. With a genuine passion for research, Abrish has garnered valuable experience over three years. They have contributed significantly to academia, with several papers presented at IEEE conferences in India and UAE and published in reputable SCIE and Scopus journals. Abrish’s research interests encompass Machine Learning, Statistical Modeling, Data Analytics, and Electrical Engineering, indicating a diverse and multidisciplinary approach to their work.

Swapnendu Chakrabarti

Swapnendu Chakrabarti is a final year student pursuing his Bachelors Of Engineering in Electronics and Telecommunication at Army Institute Of Technology, affiliated to Savitribai Phule Pune University. He has presented and published 4 research papers in national and international conferences, with a research experience of 4+ years. His research interests lie at the intersection of hardware and software, revolving around the core concepts of energy conservation, data science and data analysis.

P. B. Karandikar

P. B. Karandikar is Ph.D. in Electrical Engineering and M.E. (Control Systems) from College of Engineering (COEP) Pune, India. He obtained his Bachelors’ degree from Pune University, India in 1994. He completed his Diploma courses in Electrical Engineering and Computer Science from Cusrow Wadia Institute of Technology, Pune, India. He is working as an Associate Professor in Army Institute of Technology (AIT), Pune, India. He has more than 29 years of teaching, administration and research experience. He has developed Electrical Vehicle lab at AIT. He is also heading technical board at AIT as staff in-charge. He published more than 125 papers in national/ international conferences and international journals. These paper lists can be found on google scholar website. He has published more than 10 technical articles in the technical magazines like Electrical India, IEEMA Journal and Electronics For You. He published one textbook besides 25 Indian patents (filed) to his credit. He has presented research papers at more than 15 IEEE conferences which were held in various locations in India and Singapore, Malaysia as well as Dubai. He has given many professional talks on energy storage systems, electrical safety, electrical earthing, BMS etc. He has guided more than 15 PG students and 7 PhD students have completed their PhD under this guidance. He is member of The Institution of Engineers, The Indian Carbon Society and ISTE.

Shalaka Chaphekar

Shalaka Chaphekar is Ph.D. in Electrical Engineering and M.E. (Power Systems) from College of Engineering (COEP) Pune, India. She obtained her Bachelors’ degree from Pune University, India in 1994. She completed her Master’s degree from College of Engineering (COEP) Pune, India in 1998. She is working as an Associate Professor in P.E.S. Modern College of Engineering, Pune, India. She has more than 29 years of teaching, administration and research experience. She was Coordinator for a funded project. She is also a Board of Studies (BOS) member of Electrical Engineering at Savitribai Phule Pune University (SPPU). She published more than 25 papers in national/international conferences and international journals. These paper lists can be found on google scholar website. She has published more than 5 technical articles in the technical magazine Electrical India. She has presented research papers at various locations in India and abroad. She is a reviewer for many national and international conferences. She has guided more than 10 PG students and many UG students. She was a part of the syllabus setting committee member and was subject chairman for many subjects at SPPU. She is a member of The Institution of Engineers, and ISTE.

Mayank J. Bhalerao

Mayank J. Bhalerao is presently engaged in pursuing a PhD in the Systems Realization Laboratory at the University of Oklahoma. His main research focuses lie within the realm of Cyber Physical Social Systems. He possesses a strong interest in statistics, predictive analytics, machine learning and design of systems.