A Fuzzy-Based Slip Resistive Controller for Front Wheel Drive Autonomous Electric Vehicle

Abstract

The direction and eternal theme of the automotive industry’s sustainable development is protection of the environment, energy efficiency, and safety. Especially the traffic accidents, the world’s energy shortages and the increasingly deteriorating environment are particularly important today. Especially in current era, because of the dual pressures of energy and the environment, various forms of electric vehicles (EVs) are becoming the focus of global automotive industry. This paper presents a significant method of road recognition method. The key control is to have the option to precisely recognize the ideal slip rate and current street surface attachment coefficient to control the wheel slip. By utilizing the Burckhardt strategy, the slant change of the bend could sort out the ideal slip rate and pinnacle attachment coefficient of street surface distinguishing proof examination is generally utilized in steadiness control of EV. On road tests, the road conditions are very complicated. It is necessary to take identify methods with strong robustness. Therefore, it is an important method to use fuzzy technique with good robustness to recognize optimal slip rate (OSR). The fuzzy road recognition algorithm could identify the friction co- efficient and the OSR superiorly.

Keywords:

• fuzzy mathematics theory
• EV
• acceleration slip regulation control
• road identification
• stability control

Authors’ Contributions

All authors are contributed equally to this work

Data Availability Statement

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

Disclosure Statement

Conflict of Interest is not applicable in this work.

Additional information

Notes on contributors

Sandeep Dwarkanath Pande

Sandeep Dwarkanath Pande received the Bachelor of Engineering (BE) in Information Technology (IT) degree from PDVVP CoE Ahmednagar, Savitribai Phule Pune University, Master of Engineering (ME) in Computer Science and Engineering (CSE) degree from the Government Engineering College Aurangabad, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad and Doctor of Philosophy in CSE from KLEF Deemed to be University, Vaddeswaram, Guntur, AP. He is currently working as an Senior Assistant Professor in MIT Academy of Engineering, Alandi, Savitribai Phule Pune University. His research interest includes applications of machine learning and software engineering for Image Processing.

Abhishek Gudipalli

Abhishek Gudipalli received the B.Tech. degree in Electronics and Communication, M.Tech. degree in Sensor systems in 2007 and the Ph.D. degree in image processing from Sri Venkateswara University, India in 2016. Since 2011, he has been an Associate Professor with the School of Electrical Engineering. VIT University, Vellore. He is the author of one book, and more than 45 articles. His research interests include IoT, Image Processing, Sensor systems and Wireless systems.

Rahul Joshi

Rahul Joshi, is an Associate Professor at Symbiosis Institute of Technology, Pune. He is having more than 17 years of experience and having more than 60 publications in different reputed journals. He did masters from IIT, Bombay, PhD from Symbiosis International (Deemed University), Pune, India. He is also reviewer for reputed SCOPUS, IEEE Access journals. Computational Intelligence, Multicriteria Decision Making, Block chain, Cloud Computing are the research areas explored by him.

Smita Chaudhari

Smita Chaudhari received her B.E. degree in Computer Engineering from North Maharashtra University, Maharashtra, India, in 1999. The M.E. degree in Computer Engineering from Mumbai University, India, in 2011. She received her PhD in Computer Science and Engineering from Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India in 2022. She is working as an Assistant Professor with Marathwada Mitra Mandal’s College of Engineering, Pune, India. She has more than 20 years of teaching experience and authored more than 20 research articles. She has done extensive research in Provable Data Possession using modern cryptographic techniques particularly using Indistinguishability Obfuscation. Her research interests include information security and cloud computing.

Dharmesh Dhabliya

Dharmesh Dhabliya has graduated from Vishwakarma Institute of Information Technology with Computer Engineering Specialization and obtained Masters Degree from Tulsiramji Gaikwad patil college of Engineering and Technology Nagpur India. Currently he is visiting faculty at Symbiosis Law School Nagpur. He has published 17 SCI papers and 32 Scopus papers with 7 books on his name.

S. K. Hasane Ahammad

S. K. Hasane Ahammad is an Associate Dean R & D at Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, A P, India. He received B. Tech in 2011 at JNTU Kakinada and M.Tech in 2014, at JNTU Kakinada, in Electronics and Communication Engineering. He published 169 papers in International Conferences & Journals in Bio-Medical Image processing. He is a student member of IEEE.

Sunil D. Kale

Sunil D. Kale has received his graduate degree (B.E. Computer Sci. & Engg.) from Government College of Engineering, Aurangabad, Maharashtra. Master Degree (M.Tech. Computer Sci. & Engg.) from Visvesvaraya Technological University, Belgavi, Karnataka and his Ph.D. (Computer Engineering) from Savitribai Phule Pune University, Pune, Maharashtra. He is working as an Associate Professor in Department of Artificial Intelligence and Data Science of Vishwakarma Institute of Information Technology, Pune, Maharashtra. He has published over 20 papers in national and international journals and conferences published a Linguistic resource named as “Author wise Marathi Language Text Corpus”. He is a life member of Indian Society of Technical Education and Computer Society of India. His area of interest is in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Pattern Recognition and Text Analytics.