基于层次分析法和理想解法对电动汽车经济性因素权重分析

Weight Analysis of BEV Economy Factors based on Analytic Hierarchy Process and Technique for Order Preference by Similarity to an Ideal Solution

经济性指标是纯电动汽车重要性能指标。本文旨在通过正向开发的形式,使用层次分析法分解影响经济性的主要因素,使用GT-suite按照单一变量的方法仿真每个因素变化后的续航,按照理想解法中确立理想最优解和最差解的思路计算各项贴近度,通过贴近度的比值代替专家打分确定标度,从而建立权重判断矩阵计算出各因素权重。为明确电动汽车经济性优化方向,提供了客观数据支撑。

Economy is an important indicator factor for pure electric vehicles. This article aims to use the analytic hierarchy process to decompose the main factors that affect economy through the form of positive development, use GT-suite to simulate the battery life after each factor changes in a single variable method, and establish the ideal optimal solution and the optimal solution according to the ideal solution. The idea of the worst solution calculates the closeness of each item, and uses the ratio of the closeness to replace the expert’s score to determine the scale, thereby establishing a weight judgment matrix to calculate the weight of each factor. In order to clarify the economic optimization direction of electric vehicles, objective data support is provided.