Optimality and Reachability - Pseudo Boolean Power Flows for multi-sourced Vehicle Topologies

2007 IEEE Vehicle Power and Propulsion Conference Pub Date : 2007-09-01 DOI:10.1109/VPPC.2007.4544235

G. Kladis, J. Economou, A. Tsourdos, B. White

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引用次数: 5

Abstract

Multi-agents have been gaining momentum in recent years due to their vast application in numerous fields.Due to the limitations of a single vehicle routing problems which are rarely applicable in practical situations, a multi-agent based scenario may accommodate real-world situations more closely. So a collection of parameterized vehicles on a mission can provide an ideal framework for identifying, modelling and analyzing many interesting paradigms, design parameters and solution strategies. While trying to accomplish their mission these agents need to respect the heterogeneous set of constraints on both their physical and communication resources.In this paper a power/energy flow modelling method is presented for multi-sourced vehicles.Graph theory forms the basis for this innovative and powerful methodology.The methodology described is extended to pseudo-Boolean representation of the system's power flow.This work is intended to state contributions while providing an analytical and rigorous method for modelling power flows and obtaining energy paths via reachability matrix properties.Detailed and rigorous analysis and optimality scenarios are also included.

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最优性和可达性——多源车辆拓扑的伪布尔功率流

近年来，由于多智能体在许多领域的广泛应用，其发展势头迅猛。由于单个车辆路径问题在实际情况中很少适用的局限性，基于多智能体的场景可以更紧密地适应现实世界的情况。因此，任务中参数化飞行器的集合可以为识别、建模和分析许多有趣的范例、设计参数和解决策略提供一个理想的框架。在尝试完成它们的任务时，这些代理需要尊重它们的物理和通信资源上的异构约束集。本文提出了一种多源车辆的功率/能量流建模方法。图论构成了这种创新而强大的方法论的基础。所描述的方法被扩展到系统潮流的伪布尔表示。这项工作旨在说明贡献，同时提供一种分析和严格的方法来建模功率流，并通过可达性矩阵特性获得能量路径。还包括详细和严格的分析和最优方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2007 IEEE Vehicle Power and Propulsion Conference

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