Wireless charging utility maximization and intersection control delay minimization framework for electric vehicles
Wireless charging utility maximization and intersection control delay minimization framework for electric vehicles
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DOI：
10.1111/mice.12439
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发表时间：
2019-07-01
影响因子：
9.6
通讯作者：
Ushijima-Mwesigwa, Hayato
中科院分区：
文献类型：
--
作者：
Khan, Zadid;Khan, Sakib Mahmud;Ushijima-Mwesigwa, Hayato
本研究提出了无线充电效用最大化（WCUM）框架，旨在通过在信号交叉口的最佳无线充电单元（WCU）部署，使电动汽车（EV）充电的无线充电单元（WCU）效用最大化。此外，该框架旨在最小化网络中所有信号交叉口的控制延迟。该框架由两步优化公式、计算用户均衡的动态交通分配模型、制定目标函数的交通微模拟器和全局混合整数非线性规划（MINLP）优化求解器组成。对每个交叉口分别制定了一个优化问题，对整个网络制定了另一个优化问题。使用苏福尔斯网络对WCUM框架的性能进行了测试。我们通过一个案例研究对12个全球MINLP求解器进行了比较研究。基于求解质量和计算时间的考虑，我们选择Couenne求解器。
This study presents the Wireless Charging Utility Maximization (WCUM) framework, which aims to maximize the utility of Wireless Charging Units (WCUs) for electric vehicle (EV) charging through the optimal WCU deployment at signalized intersections. Furthermore, the framework aims to minimize the control delay at all signalized intersections of the network. The framework consists of a two-step optimization formulation, a dynamic traffic assignment model to calculate the user equilibrium, a traffic microsimulator to formulate the objective functions, and a global Mixed Integer Non-Linear Programming (MINLP) optimization solver. An optimization problem is formulated for each intersection, and another for the entire network. The performance of the WCUM framework is tested using the Sioux Falls network. We perform a comparative study of 12 global MINLP solvers with a case study. Based on solution quality and computation time, we choose the Couenne solver for this framework.