Title :
Optimal Li-Ion battery sizing on PEMFC hybrid powertrain using dynamic programming
Author :
Rurgladdapan, Jariya ; Uthaichana, Kasemsak ; Kaewkham-ai, Boonsri
Author_Institution :
Dept. of Electr. Eng., Chiang Mai Univ., Chiang Mai, Thailand
Abstract :
This investigation studies the effect of the number of Li-Ion battery modules on the fuel consumption and the 10-year operating cost for optimal powertrain design in a Proton Exchange Membrane fuel cell (PEMFC) hybrid vehicle. A 30kW PEMFC stack is in parallel with a number of 334Wh-LiFePO4 battery modules to deliver its energy to a 77 kW electric drive (ED). The ED output is connected to the gear box and the lower powertrain. For a given road/load mechanical power demand on the vehicle, the ED power profile can be computed. The electrical power-split strategy between the PEMFC and the battery pack plays a great role on the hydrogen fuel consumption and cost. The dynamic programming (DP) approach is adopted to compute the optimal power management strategy and to evaluate the vehicle performance and the average fuel consumption over five different standard driving profiles, i.e. Japan 10/15 mode, UN/ECE, UDDS, HWFET, and SFTP. The objective function to be minimized consists of the fuel cost and the Li-Ion battery cost. Since the Li-Ion battery is expensive, the battery´s state of charge (SOC) operating range is limited to 0.5 and 0.7 to prolong the battery lifetime. From the simulation results, it is found that for average driving distance 10,000 km/year, the set of 5 battery modules is the most appropriate option. The set of 8 battery modules is best for average driving distance more than 50,000 km/y.
Keywords :
battery powered vehicles; cost reduction; dynamic programming; electric drives; fuel cell vehicles; gears; hybrid electric vehicles; lithium compounds; power transmission (mechanical); proton exchange membrane fuel cells; road vehicles; secondary cells; ED output; HWFET driving profile; Japan 10-15 mode driving profile; LiFePO4; PEMFC hybrid powertrain; SFTP driving profile; UDDS driving profile; UN-ECE driving profile; battery pack; distance 10000 km; distance 50000 km; dynamic programming; electric drive; energy 334 Wh; fuel cost minimization; gear box; hydrogen fuel consumption; hydrogen fuel cost; lithium-ion battery modules; load mechanical power demand; optimal lithium-ion battery sizing; optimal power management strategy; optimal powertrain design; power 30 kW; power 77 kW; proton exchange membrane fuel cell hybrid vehicle; road mechanical power demand; state-of-charge operating range; vehicle performance evaluation; Batteries; Fuel cells; Fuels; Hydrogen; Mechanical power transmission; System-on-chip; Vehicles; PEM fuel cell; dynamic programming; hybrid electric vehicle; li-ion battery; optimal control;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566415