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
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;
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/PowerEng.2013.6635628
