DocumentCode
1612208
Title
Optimal charging strategy for EVs with batteries at different states of health
Author
Tianxiang Jiang ; Putrus, G. ; Zhiwei Gao ; Conti, Marco ; McDonald, Steven
Author_Institution
Fac. of Eng. & Environ., Northumbria Univ., Newcastle upon Tyne, UK
fYear
2013
Firstpage
326
Lastpage
329
Abstract
The electric vehicle (EV) is targeted as an efficient method of decreasing CO2 emission and reducing dependence on fossil fuel. Compared with filling up the internal combustion engine (ICE) vehicle, the EV power charging time is usually long. However, to the best of our knowledge, the current charging strategy does not consider the battery state of health (SOH). It is noted that a high charging current rate may damage the battery life. Motivated by this, an optimal charging strategy is proposed in the present paper, providing several optimal charging options taking into account the EV battery health, trying to prevent `abused battery utilization´ happening.
Keywords
battery powered vehicles; optimisation; secondary cells; battery state of health; electric vehicle; optimal charging strategy; power charging time; Aging; Batteries; Genetic algorithms; Linear programming; Mathematical model; Power engineering; Vehicles; Battery state of health (SOH); Cycle life; Fast charging; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location
Istanbul
ISSN
2155-5516
Type
conf
DOI
10.1109/PowerEng.2013.6635628
Filename
6635628
Link To Document