Title :
Assessing the effect of fast charging on the battery health of Plug-In Hybrid electric vehicles
Author :
Bandyopadhyay, A. ; Lingfeng Wang ; Devabhaktuni, V.K. ; Rui Yang ; Green, R.C.
Author_Institution :
EECS Dept., Univ. of Toledo, Toledo, OH, USA
Abstract :
Significant infrastructure demand will be experienced for the widespread use of Plug-in Hybrid Electric Vehicles (PHEVs) for Vehicle to Grid (V2G) transactions. Charging stations are expected to be used in a wide array of commercial enterprises that will aid PHEV users to charge their vehicles. LEVEL 3 charging or Fast Charging is an alternative to the standard LEVEL 1 and LEVEL 2 charging topology. It has the ability to fully charge a PHEV from near zero State of Charge (SOC) levels in under an hour. This paper uses a Li-ion Battery Model to simulate the effect of the rapid increase in SOC on the overall health of the battery. Multi-Objective Particle Swarm Optimization (MOPSO) is used to develop strategies that help in reducing both the battery degradation and cost to the user.
Keywords :
battery powered vehicles; hybrid electric vehicles; lithium; particle swarm optimisation; secondary cells; Li; MOPSO; PHEV; SOC levels; battery degradation; battery health; charging stations; fast charging effect assessment; level 2 charging topology; level 3 charging topology; lithium-ion battery model; multiobjective particle swarm optimization; plug-in hybrid electric vehicles; standard level 1 charging topology; vehicle-to-grid transactions; zero state of charge level; Batteries; Degradation; Electrodes; Films; Particle swarm optimization; System-on-a-chip; US Department of Defense; Li-ion Battery; Multi-objective Particle Swarm Optimization (MOPSO); Plug-in Hybrid Electric Vehicles (PHEVs); Vehicle to Grid (V2G);
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6345617
