Analyzing Fuel Cell Vehicles in India via the PESTLE Framework and Intelligent Battery Management Systems (BMS)-Reference-Cited by-同舟云学术

Analyzing Fuel Cell Vehicles in India via the PESTLE Framework and Intelligent Battery Management Systems (BMS)

Published:2024-06-21 Issue: Volume: Page:107-129
ISSN:2328-8205
Container-title:Advances in Mechatronics and Mechanical Engineering
language:
Short-container-title:

Author:

Tagesse Tamirat¹,Arulkumar S.¹,Mahalingam S.²,Subbarao Tadepalli Naga Venkata Rama³,Munjal Neha⁴,Boopathi S.⁵^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Wachemo University, Ethiopia

2. Department of Automobile Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi, India

3. Department of Mechanical Engineering, AU College of Engineering, Visakhapatnam, India

4. Department of Physics, Lovely Professional University, Phagwara, India

5. Mechanical Engineering, Muthayammal Engineering College, Namakkal, India

Abstract

This chapter explores the intersection of blockchain technology, fuel cell vehicles, and intelligent battery management systems (BMS) in the context of India's e-mobility landscape. Using the PESTLE framework, it examines the political, economic, social, technological, legal, and environmental factors influencing the adoption and implementation of fuel cell vehicles. The chapter delves into the significance of integrating blockchain into e-mobility infrastructure, specifically focusing on enhancing security, transparency, and efficiency in data management. Furthermore, it highlights the pivotal role of intelligent BMS in optimizing battery performance and longevity within these vehicles. By amalgamating these technologies and considering the diverse contextual factors, this chapter offers insights into the potential advancements and challenges in shaping India's e-mobility future.

Publisher

IGI Global

Reference44 articles.

1. E-Mobility — Advancements and Challenges

2. State-of-the-Art Review of the Key Factors Affecting Electric Vehicle Adoption by Consumers

3. Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain

4. Theoretical Study on Power Distribution Systems for Electric Vehicles

5. A sustainable framework for the second-life battery ecosystem based on blockchain

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Blockchain for Pharmaceutical Data Management and Quantum Computing Innovations;Advances in Medical Technologies and Clinical Practice;2024-09-27

2. Synergizing Edge Computing With Energy Storage and Grid Integration in Electric Vehicles;Advances in Mechatronics and Mechanical Engineering;2024-07-26

3. Performance Improvements of Electric Vehicles Using Edge Computing and Machine Learning Technologies;Advances in Mechatronics and Mechanical Engineering;2024-07-26

4. Machine Learning Applications in Predictive Pest Modeling for Developing Pest-Resistant Crop Varieties;Advances in Environmental Engineering and Green Technologies;2024-06-28

5. Harnessing Digitalization and Internet of Things for Sustainable Energy;Practice, Progress, and Proficiency in Sustainability;2024-06-28