Vehicular energy network (VEN) is a vehicular network which can transport energy over a large geographical area by means of electric vehicles (EVs). In the near future, an abundance of EVs, plentiful generation of the renewables, and mature wireless energy transfer and vehicular communication technologies will expedite the realization of VEN. To transmit energy from a source to a destination, we need to establish energy paths, which are composed of segments of vehicular routes, while satisfying various design objectives. In this paper, we develop a method to construct all energy paths for a particular energy source-destination pair, followed by some analytical results of the method. We describe how to utilize the energy paths to develop optimization models for different design goals and propose two solutions. We also develop a heuristic for the power loss minimization problem. We compare the performance of the three solution methods with artificial and real-world traffic networks and provide a comprehensive comparison in terms of solution quality, computation time, solvable problem size, and applicability. This paper lays the foundations of VEN routing.
Vehicle-to-Grid (V2G) is that the energy stored in the batteries of electric vehicles can be utilized to send back to the power grid. And then, the energy in the batteries of electric vehicles can move with electric vehicles (EVs). Based on above characteristics, this paper introduces the concept of a mobile electrical grid and discusses the energy routing problem. It focuses on the optimization problem of how to find routes from the energy sources to charge stations, especially, when some paths are clogged by traffic jam. A bipartite graph model is used to analyze the route problem and two algorithms are presented to compute minimal energy metric route. Both of algorithms are tested by real-world transporting data in Manhattan and the Pioneer Valley Transit Authority(PVTA). Simulations show that the method is efficient. Vehicle-to-Grid (V2G) technology utilizes the stored energy in electric vehicle batteries to contribute electricity back to the grid. The energy in batteries can move with electric vehicles (EVs). Combining V2G and the mobility of vehicles, EVs can provide a natural energy transmission architecture called mobile electrical grid. The main idea of this paper focuses on multiple energy transmission route in mobile electrical grid from solar energy sources to places as capacity of every energy route is limited. The features of energy route in mobile electrical grid are analyzed and a minimum cost flow algorithm is presented. Simulations using real-world transporting data in Manhattan. Simulations show that this method is efficient.