Abstract
A vehicular energy network (VEN) uses electric vehicles (EVs) to transport energy across a wide geographical area. EVs can charge and discharge wirelessly at road junctions while moving and, thus, transfer energy between junctions. In this article, we propose a method to optimally route energy from multiple energy-supplying junctions to multiple energy-demanding junctions while minimizing energy loss in four different VEN scenarios: 1) a time-invariant VEN; 2) a VEN with time-varying vehicular flows and energy demands; 3) a VEN with time-varying vehicular flows and time-averaged demands; and 4) a VEN with significant storage capacities at junctions. The method employed to solve these scenarios is to model the VEN as a graph specific to each scenario, and then solve the generalized flow problem on the graph. Simulations are performed on all four scenarios and show that transmission efficiency improves when a small number of long vehicular routes are introduced, and when storage capacities at junctions increase. The error in approximating a time-varying VEN as a static VEN is also investigated.
| Original language | English |
|---|---|
| Pages (from-to) | 25487-25505 |
| Number of pages | 19 |
| Journal | IEEE Internet of Things Journal |
| Volume | 9 |
| Issue number | 24 |
| DOIs | |
| Publication status | Published - 15 Dec 2022 |
| Externally published | Yes |
Keywords
- Electric vehicle (EV)
- energy routing
- generalized flow problem
- network theory (graphs)
- smart cities
- vehicular energy network (VEN)
ASJC Scopus subject areas
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Science Applications
- Computer Networks and Communications
