Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle

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 performan...

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Main Authors: Rurgladdapan J., Uthaichana K., Kaewkham-Ai B.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-84866761876&partnerID=40&md5=b8a47fb9c89eab06656f3bf64621818b
http://cmuir.cmu.ac.th/handle/6653943832/1603
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-16032014-08-29T09:29:30Z Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle Rurgladdapan J. Uthaichana K. Kaewkham-Ai B. 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. 2014-08-29T09:29:30Z 2014-08-29T09:29:30Z 2012 Conference Paper 9.78147E+12 10.1109/ECTICon.2012.6254368 92855 http://www.scopus.com/inward/record.url?eid=2-s2.0-84866761876&partnerID=40&md5=b8a47fb9c89eab06656f3bf64621818b http://cmuir.cmu.ac.th/handle/6653943832/1603 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description 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.
format Conference or Workshop Item
author Rurgladdapan J.
Uthaichana K.
Kaewkham-Ai B.
spellingShingle Rurgladdapan J.
Uthaichana K.
Kaewkham-Ai B.
Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle
author_facet Rurgladdapan J.
Uthaichana K.
Kaewkham-Ai B.
author_sort Rurgladdapan J.
title Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle
title_short Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle
title_full Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle
title_fullStr Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle
title_full_unstemmed Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle
title_sort li-ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-84866761876&partnerID=40&md5=b8a47fb9c89eab06656f3bf64621818b
http://cmuir.cmu.ac.th/handle/6653943832/1603
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