EconPapers    
Economics at your fingertips  
 

A Novel Mathematical Model for Infrastructure Planning of Dynamic Wireless Power Transfer Systems for Electric Vehicles

Afshin Ghassemi (ag1898@soe.rutgers.edu), Laura Soares (lm804@soe.rutgers.edu), Hao Wang (hw261@soe.rutgers.edu) and Zhimin Xi (zx112@soe.rutgers.edu)
Additional contact information
Afshin Ghassemi: Rutgers University
Laura Soares: Rutgers University
Hao Wang: Rutgers University
Zhimin Xi: Rutgers University

A chapter in Handbook of Smart Energy Systems, 2023, pp 817-835 from Springer

Abstract: Abstract About 26% of total US energy consumption is used in the transportation sector. Conventional vehicles use fuels such as gasoline, emit harmful gases, and have adverse effects on the environment. Electric vehicles (EVs) provide an alternative solution that decreases the dependency on traditional fuels such as gasoline and reduces hazardous gas emissions. EVs can drive longer distances by employing dynamic wireless power transfer systems (DWPT) without increasing their battery size or having stopovers. Additionally, developing a decision system that avoids an excessive load on the power grid is essential. These decision systems are particularly beneficial for autonomous driving for personal and public transportation. This study briefly reviews the available literature in dynamic wireless power transfer systems and proposes a novel system-level mathematical decision model to find the optimal profile for wireless charging infrastructures. We analyze the role of renewable energy integration on DWPT systems and identify the framework, benefits, and challenges in implementing DWPT for EVs. The mathematical model is mixed integer, multi-period, and linear, minimizing the total system cost while satisfying the systems requirements. The proposed model and the case study analysis in this research determine the near-optimal plan for DWPT infrastructure allocations and pave the road toward a more detailed power grid and renewable energy integration. Our result indicates that renewable energies can significantly decrease the DWPT total system cost and infrastructure requirements and increase the EVs’ reliability.

Keywords: Dynamic wireless power transfer; Renewable energy integration; Electric vehicles; Power grid planning; Wireless charging allocation; Infrastructure planning; Mixed-integer optimization (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-97940-9_99

Ordering information: This item can be ordered from
http://www.springer.com/9783030979409

DOI: 10.1007/978-3-030-97940-9_99

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla (sonal.shukla@springer.com) and Springer Nature Abstracting and Indexing (indexing@springernature.com).

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-3-030-97940-9_99