Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/51512
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dc.contributor.authorJariya Rurgladdapanen_US
dc.contributor.authorKasemsak Uthaichanaen_US
dc.contributor.authorBoonsri Kaewkham-Aien_US
dc.date.accessioned2018-09-04T06:03:36Z-
dc.date.available2018-09-04T06:03:36Z-
dc.date.issued2012-10-02en_US
dc.identifier.other2-s2.0-84866761876en_US
dc.identifier.other10.1109/ECTICon.2012.6254368en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866761876&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/51512-
dc.description.abstractThis 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.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.titleLi-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicleen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2012 9th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2012en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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