Author:
Wang Faping,Chen Rui,Miao Lixin,Yang Peng,Ye Bin
Abstract
This study researches the dynamical location optimization problem of a mobile charging station (MCS) powered by a LiFePO 4 battery to meet charging demand of electric vehicles (EVs). In city suburbs, a large public charging tower is deployed to provide recharging services for MCS. The EV’s driver can reserve a real-time off-street charging service on the MCS through a vehicular communication network. This study formulates a multi-period nonlinear flow-refueling location model (MNFRLM) to optimize the location of the MCS based on a network designed by Nguyen and Dupuis (1984). The study transforms the MNFRLM model into a linear integer programming model using a linearization algorithm, and obtains global solution via the NEOS cloud CPLEX solver. Numerical experiments are presented to demonstrate the model and its solution algorithm.
Funder
National Natural Science Foundation of China
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
Reference62 articles.
1. China’s Urbanization Process since 1949: Retrospect and Reflection;Gao;J. Hunan Inst. Sci. Technol.,2005
2. Analyzing the trade-off between CO2 emissions and passenger service level in the airline industry Mathematical modeling and constructive heuristic;Mahdi Jalalian;Marit. Bus. Rev.,2019
3. A novel passenger flow prediction model using deep learning methods
4. Quantification and driving force analysis of provincial-level carbon emissions in China
5. Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research
Cited by
25 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献