Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/51512
Title: Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle
Authors: Jariya Rurgladdapan
Kasemsak Uthaichana
Boonsri Kaewkham-Ai
Keywords: Computer Science
Engineering
Issue Date: 2-Oct-2012
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. © 2012 IEEE.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866761876&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/51512
Appears in Collections:CMUL: Journal Articles

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