Title :
Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle
Author :
Rurgladdapan, Jariya ; Uthaichana, Kasemsak ; Kaewkham-ai, Boonsri
Author_Institution :
Dept. of Electr. Eng., Chiang Mai Univ., Chiang Mai, Thailand
Abstract :
This study considers the tradeoff between the weight and the storage capacity among different sizes of LiFePO4 battery packs for optimal powertrain design in a parallel hybrid electric vehicle (HEV). Proper power-split strategy between the engine power and the battery power can improve the performance of the designed powertrain. Dynamic programming (DP) approach is adopted to compute the optimal power-split and to evaluate the performance of each battery storage capacity. The fuel economy of HEV with different battery capacities are evaluated against different driving schedules i.e. Japan 10/15 mode, UDDS, HWFET, UN/ECE, and SFTP. Since the solution to the DP is computed offline (within a few minutes for each profile), some rule extractions are illustrated and can be used to improve the powertrain control strategy onboard.
Keywords :
dynamic programming; fuel economy; hybrid electric vehicles; lithium compounds; optimal control; power control; secondary cells; HWFET; LiFePO4; SFTP; UDDS; UN/ECE; battery power; battery storage capacity; driving schedules; dynamic programming; engine power; fuel economy; hybrid electric vehicle; optimal power split control; optimal powertrain design; powertrain control strategy; secondary battery sizing; Batteries; Engines; Fuel economy; Hybrid electric vehicles; Ice; Mechanical power transmission; battery sizing; dynamic programming; hybrid electric vehicle; li-ion battery; optimal power control;
Conference_Titel :
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2012 9th International Conference on
Conference_Location :
Phetchaburi
Print_ISBN :
978-1-4673-2026-9
DOI :
10.1109/ECTICon.2012.6254368