基于车辆时空状态链的电动汽车充换电需求模型

随着电动汽车普及,充换电设施网络整体规划建设已成为电动汽车产业发展的重要环节。整体考虑充电需求与换电需求,提出一种基于出行时空状态链的电动汽车充换电需求模型。首先,通过分析车辆行驶与停留多状态间相互转换过程,定义车辆出行时间链与空间链的特征量,并设计车辆状态转移矩阵。然后根据多种充换电模式,以及温度对单位里程耗电量影响,构建电动汽车充换电需求模型。最后,提出基于自适应混合细菌觅食算法,计算车辆处于充电需求时,多种充电模式选取情况。算例分析表明,该模型可以准确模拟用户出行规律,体现电动汽车在行驶与停留多状态下的充换电需求时空分布特点。

Electric vehicle charging and demand model based on vehicle spatiotemporal status chain

With the popularization of electric vehicles, the overall planning and construction of the charging and replacing facilities network has become an important part of the development of the electric vehicle industry. Considering the charging demand and the power-changing demand as a whole, an electric vehicle charging and replacing demand model based on the travel time and space state chain is proposed. Firstly, by analyzing the process of mutual transition between vehicle travel and stay multi-state, the vehicle travel time chain and space chain feature quantity are defined, and the vehicle state transition matrix is designed. Then, according to various charging and changing modes, and the influence of temperature on the power consumption per unit mileage, the electric vehicle charging and replacing demand model is constructed. Finally, an adaptive hybrid bacterium foraging algorithm is proposed to calculate the selection of multiple charging modes when the vehicle is in charge. The analysis of the example shows that the model can accurately simulate the travel rules of the user, and reflect the spatio-temporal distribution characteristics of the charging and replacing requirements of the electric vehicle in the multi-state of driving and staying.