Paper Info
Title
Decentralized Control of Electric Vehicle Smart Charging for Cost Minimization Considering Temperature and Battery Health
Abstract
A decentralized optimal control strategy for one electric vehicle is proposed to minimize the charging cost and maximize the customer's profit while considering the temperature effect on lithium-ion batteries. To achieve this, we propose a smart bidirectional charging algorithm that exploits the grid to vehicle and vehicle to grid concepts. The decentralized smart charging algorithm takes into account the daily energy price, electric vehicle information, customer needs, the outside air temperature and the temperature of the battery, in order to formulate and solve a non-linear constrained optimization problem. The algorithm is tested over several different scenarios considering a daily energy price profile in France. The results obtained show a great efficiency of the decentralized algorithm and significant charging cost reduction compared to the uncontrolled charging.
Year
DOI
Venue
2019
10.1109/SmartGridComm.2019.8909796
2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Keywords
Field
DocType
Electric Vehicle,lithium-ion,batteries,smart charging,decentralized control,smart grid,temperature effect
Automotive engineering,Decentralised system,Computer science,Electric vehicle,Real-time computing,Minification,Battery (electricity)
Conference
ISBN
Citations 
PageRank 
978-1-5386-8100-8
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Yassir Dahmane100.34
Malek Ghanes213320.77
Raphaël Chenouard3415.05
Mario Alvarado-Ruiz400.34