蒙特卡洛模拟法的动力电池梯次利用容量计算模型

The Monte Carlo simulation method of the power battery echelon use capacity calculation model based on Design

电动汽车充电及放电设备和可再生能源集成使用的主要方式就是光伏换电站,本文提出一种基于蒙特卡洛模拟法的动力电池梯次利用容量计算模型,从而实现光伏换电站容量的优化配置。在制定能量交换及系统结构的基础上,以电动车换点的需求为基础,提高企业利润,创建动力电池梯次利用容量的优化配置模型。为了能够确定动力电池不断增加的梯次利用容量,根据容量退化模型及电池汽车每天行驶的距离作为统计模型,从而实现模型的创建。并且通过微分进化的算法实现模型的优化,以某城市的光伏换电站为例,对本文所设计模型的合理性进行分析。

the main mode of electric vehicle charging and discharging equipment and renewable energy integration is the use of Photo- voltaic Station,in this paper, a Monte Carlo simulation method based on power battery echelon use capacity calculation model, so as to achieve the optimal allocation for photovohaic power plant capacity. In the basis of energy exchange and system structure ,with the electric car for point based demand, increase profits, create battery echelon use optimal allocation model of capacity. In order to determine the power battery echelon use increasing capacity, according to the capacity degradation model and battery car daily driving distance as the statistical model, so as to realize the model creation. And through differential evolution algorithm to achieve the optimization of the model, the photovohaic power station in a city is taken as an example to analyze the rationality of the model designed in this paper.