Welcome to the InfoSci Platform
Artificial Intelligence-Based Approaches in Vehicular Power Energy Application

Artificial Intelligence-Based Approaches in Vehicular Power Energy Application

Bikram Pratim Bhuyan
Copyright: © 2023 |Pages: 20
ISBN13: 9781668488164|ISBN10: 1668488167|ISBN13 Softcover: 9781668488171|EISBN13: 9781668488188
DOI: 10.4018/978-1-6684-8816-4.ch012
Cite Chapter Cite Chapter

MLA

Bhuyan, Bikram Pratim. "Artificial Intelligence-Based Approaches in Vehicular Power Energy Application." AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications, edited by S. Angalaeswari, et al., IGI Global, 2023, pp. 200-219. https://doi.org/10.4018/978-1-6684-8816-4.ch012

APA

Bhuyan, B. P. (2023). Artificial Intelligence-Based Approaches in Vehicular Power Energy Application. In S. Angalaeswari, T. Deepa, & L. Kumar (Eds.), AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications (pp. 200-219). IGI Global. https://doi.org/10.4018/978-1-6684-8816-4.ch012

Chicago

Bhuyan, Bikram Pratim. "Artificial Intelligence-Based Approaches in Vehicular Power Energy Application." In AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications, edited by S. Angalaeswari, T. Deepa, and L. Ashok Kumar, 200-219. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-8816-4.ch012

Export Reference

Mendeley
Favorite

Abstract

According to government officials, automakers, and academics, vehicular ad hoc networks (VANET) may be an effective tool for improving safety and efficiency on the road. For safety-related information to be disseminated, VANET uses cars and infrastructure nodes to interact with each other. Over the years, interest in vehicular communications has developed and is now acknowledged as a pillar of the intelligent transportation systems (ITSs). Nodes in vehicular networks have a lot of electricity and computational power (storage and processing) as a requirement. Electrification and renewable energy initiatives are relocating workforces. Controlling and regulating power flow from several sources and converters to various vehicle loads is critical in electric vehicle technology (EVT) and VANET. In this chapter, the authors put forward an extensive study over the power controllers and the use of artificial intelligence and machine learning in this field. Neural network systems for power optimization are explored. Intelligent power management systems developed are also a part of the focus.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.