融合分层规划和A;算法的共享电动汽车换车与充电路径规划

电池续航能力不足以及充电设施的地域限制给共享电动汽车的路径规划带来了挑战。为此,在准确评估续航里程的基础上,提出共享电动汽车换车与充电路径规划方法。首先,结合当前的租车收费方式,计及共享电动汽车的充电特性,构建综合费用最小和时间最短的目标函数。然后,依据道路的连通性和路径寻优搜索方向的有效性,建立路径选择约束,接着虑及交通流量、道路坡度以及空调能耗等因素,对电动汽车电池的续航能力进行准确评估,进而形成满足共享电动汽车出行需求的换车与充电路径规划模型。针对所建模型的高维复杂性,运用分层规划与A*算法结合的方法,实现求解问题的降维。此外,针对电池电量不足的情况,灵活利用换车和充电方案,确定共享电动汽车的最优行驶路径。最后,在某市不同区域的实际交通路网进行仿真分析,验证所提模型和方法的有效性和正确性。

Numerical Analysis on Ventilating and Air Conditioning Scheme of Shenyang Subway Station

Different cities have different climate conditions and outdoor temperature and humidity, so the scheme of an environment control in subway should be analyzed by considering objective conditions, project cost and operating status. In this paper, a physical and mathematical model is built according to the design of Shenyang subway (line 1), the boundary conditions of the model are defined by the design and experiments, the numerical analysis of ventilating scheme and air conditioning scheme is introduced individually, and the temperature field and air flow field of the two schemes are compared, so that the feasibility of using a ventilating scheme in subway of northeast cities is discussed. Considering comfort and economy, it can be concluded that mechanical ventilation is feasible in subway of northeast cities because the air temperature there is not very high in summer.