Electric Vehicle Network Research Articles

Economic Analysis of Real-Time Large-Scale PEVs Network Power Flow Control Algorithm With the Consideration of V2G Services

In this paper, the economic analysis of a real-time power flow control algorithm for charging a large-scale plug-in electric vehicles (PEVs) network is proposed. Such a system is in an urban area power system with optimized renewable energy resources in South Florida. In this model, the PEVs charging rates are controlled by a central aggregator through wireless communication. To limit the impact of the PEVs' charging to the utility grid, while optimizing the scheduling of vehicle-to-grid (V2G) frequency regulation services, a V2G intelligent power flow management algorithm based on fuzzy logic control was developed. The smart charging system will improve the power system stability and robustness while bringing benefits to the utility ac grid, the PEVs network, and its customers. An economic analysis model was built with the consideration of the battery degradation and capital cost. The proposed smart charging algorithm was tested with a 50 000 PEVs network model. The simulation results show the effectiveness and economic value of the proposed model.

A CAN Topology Optimization of Pure Electric Vechicle

In the design of CAN network system, as CAN bus topology will affect network performance and cost, it is important to optimize the network topology. This paper analyzes the CAN busload based on CAN protocol, calculates the upper limit of transmission message frames in a single CAN bus. As the amount of information on the bus is increasing, a single CAN bus cannot meet the communication requirements, we put forward dividing the network into multiple homogeneous segments via multi-objective optimization method, developing a genetic algorithm strategy and solving the problem in a MATLAB platform. Finally utilize the method to design a pure electric vehicle network topology.

Global Challenges and Innovative Technologies Geared Toward New Markets: Prospects for Virtual and Augmented Reality

Effective applied research is based on close collaboration between research and industry, which, taking the findings of basic research on customer demands as its starting point, creates new means to develop and market innovative products. What is more, growing demands for innovative and sustainable results of research and development are prompting the examination of global trends such as demographic change, growing megacities, rising energy consumption and increasing traffic and the resultant social challenges. These trends and increasing traffic in particular are giving rise to new fields of work, especially for digital technologies, as a social responsibility, e.g. on driver assistance and traffic control systems that increase safety. The social challenges are increasingly affecting markets and requiring new innovative products, efficient production processes and integrative forms of human resource development and training and qualification. The virtualization and digitization of objects and processes is becoming an enabler of the development of new strategies and concepts such as smart cities, green energy, electric vehicle networks, smart manufacturing and smart logistics.This paper examines means by which digital engineering and virtual and augmented reality technologies can support the creation of sustainable smart manufacturing and smart logistics processes as well as on-the-job training and qualification and knowledge transfer

Priorities and practises for developing low carbon vehicle networks in small open economies

The opportunities presented by the emerging green economy offer a variety of solutions to pressing, social, economic, technological and environmental questions. The exploitation of renewable, clean energy sources would offer not just a solution to environmental and health concerns but also the potential for business growth that could help reprieve stricken economies. One of the key sectors of the green economy is that of transport and significant efforts have been made by national and supranational actors to promote the emerging low carbon vehicle. While emission reduction remains the over-riding priority driving the move toward carbon-free motoring, other factors also influence the decision of national actors to develop electric vehicle (EV) networks in particular. This article examines the priorities for small open, economies (SOEs) in developing these networks using the examples of Israel, Denmark and in particular that of Ireland.

Application of Analytic Hierarchy Process in the Planning of Energy Supply Network for Electric Vehicles

How to build a quick and cost-effective energy supply network which is as easy as the station is a new complex planning problem. Firstly the paper discusses the problems that are related to the construction of charging facilities. Then the analytic hierarchy process (AHP) is applied to establish the evaluation models for the functional area and the service window. Finally, the entire energy supply network gets a reasonable and orderly control, with good social benefits achieved.