基于电动汽车物联网的时空资源调度优化技术研究

The combination of communication network technologies and electric vehicles (EVs) evolves the concept of internet of electric vehicles (IoEV). In IoEV, how different components interact with each other to achieve optimal resource scheduling is a critical but interesting problem. In this report, considering the limitations of the current scheduling methods (e.g., high cost, low robustness, etc.), we propose a research programme concerning the time-space optimal resources scheduling methods in the IoEV. We will carefully analysis the practical needs and specific characteristics of different components in IoEV and abstract the optimization objectives and constraints. Optimization theories, random graph theories, etc. will be adopted to first realize the reliable networking and data forwarding techniques in the IoEV. Based on these, we will investigate the optimal route and charging facility selection problem for EVs based on multi-arm bandit and directed graph decomposition techniques. Then, the optimal charging/discharging scheduling problem for EVs will be studied based on various techniques such as robust optimization, convex optimization and Stackelberg non-corporative games. Theoretical frameworks will be developed and corresponding algorithms will be proposed to optimally schedule virtualized elements in IoEV so that the total cost of operating the system can be minimized and the system maintains stabilized. Finally, we will evaluate the system performances and realize the real-world testbed. The proposed programme could provide some insights helping the theoretical research of IoEV and its deployment development in our country.

通信网络技术与电动汽车的结合催生了电动汽车物联网。电动汽车物联网由多模块组成，各部分之间如何协同调度以实现系统的高效运行和资源的合理配置，是当前电动汽车研究领域面临的重要问题。针对当前已有资源调度方式成本高、鲁棒性差等局限性，本课题拟探究基于电动汽车物联网的时空资源调度优化技术。根据电动汽车物联网各模块的需求与特征，析取资源调度中的优化目标和约束条件，1）运用最优化理论、随机图论等理论，实现电动汽车物联网的可靠组网与数据转发技术；2）结合有向图分解和多臂老虎机算法等技术探索电动汽车的路径选择和充电设施选择策略；3）结合鲁棒优化、凸优化、斯坦博格非合作博弈等技术探索电动汽车充（放）电调度策略；构建相应的时空资源优化配置模型，实现时空资源的调度优化，并进行示范验证。本课题的研究成果将丰富电动汽车物联网的基础理论研究，并促进我国在电动汽车物联网及其相关设施领域的技术发展和部署建设。

通信网络技术与电动汽车的结合催生了电动汽车物联网。电动汽车物联网由多模块组成，各部分之间如何协同调度以实现系统的高效运行和资源的合理配置，是当前关于电动汽车研究领域面临的重要问题。针对当前已有资源调度方式成本高、鲁棒性差等局限性，本课题探究了基于电动汽车物联网的时空资源调度优化技术。根据电动汽车物联网各模块的需求与特征，析取资源调度中的优化目标和约束条件，研究了以下内容：1）运用优化理论、随机图论等理论，实现了电动汽车物联网的可靠组网与数据转发技术；2）结合有向图分解和多臂老虎机算法等技术探索了电动汽车的路径选择和充电设施选择策略；3）结合鲁棒优化、凸优化、斯坦博格非合作博弈等技术探索了电动汽车充（放）电调度策略；构建相应的时空资源优化配置模型，实现时空资源的调度优化，并进行示范验证。本课题的研究成果将丰富电动汽车物联网的基础理论研究，并促进我国在电动汽车物联网及其相关设施领域的技术发展和部署建设。