A Consumer Expectation-Based Multiple Satisfaction Model for Battery-Swapping Station Deployment

HUANG Yingyi

doi:10.24818/18423264/58.3.24.12

A Consumer Expectation-Based Multiple Satisfaction Model for Battery-Swapping Station Deployment

2024-09-17

0

OA

AI

DOI：10.24818/18423264/58.3.24.12

原文链接

原文求助

摘要

En 中文

This study addresses the location problem of electric vehicle battery swap stations and considers consumer satisfaction based on expectations under multiple indicators. The problem is to determine the optimal deployment plan of electric vehicle battery swap stations in the network while saving as much investment cost as possible to maximise the desirability of demand allocation that leads to an increase in consumer satisfaction. A multiple satisfaction model incorporating cost and risk indicators is developed for this problem, with employing the accumulated range anxiety as an importance coefficient to determine the weights occupied by each indicator. In addition, an improved INSGA-II is devised to solve the model. Numerical experiments in the city of Anaheim network demonstrate the validity of the proposed model and solution method and analyse the relationship between investment costs and satisfaction based on consumer expectations. Results show that an increase in investment costs is beneficial to increase consumer satisfaction in general, but poorly located battery swap stations lead to a decrease in consumer satisfaction instead.

Keyword:

: battery swap station

flow-based location problem

multiple satisfaction

consumer expectation

INSGA-II

A Consumer Expectation-Based Multiple Satisfaction Model for Battery-Swapping Station Deployment

摘要

期刊

机构

引用论文