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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th-cmuir.6653943832-515122018-09-04T06:05:00Z Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle Jariya Rurgladdapan Kasemsak Uthaichana Boonsri Kaewkham-Ai Computer Science Engineering 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. 2018-09-04T06:03:36Z 2018-09-04T06:03:36Z 2012-10-02 Conference Proceeding 2-s2.0-84866761876 10.1109/ECTICon.2012.6254368 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866761876&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51512 |
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Computer Science Engineering Jariya Rurgladdapan Kasemsak Uthaichana Boonsri Kaewkham-Ai Li-Ion battery sizing and dynamic programming for optimal power-split control in a hybrid electric vehicle |
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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 Proceeding |
author |
Jariya Rurgladdapan Kasemsak Uthaichana Boonsri Kaewkham-Ai |
author_facet |
Jariya Rurgladdapan Kasemsak Uthaichana Boonsri Kaewkham-Ai |
author_sort |
Jariya Rurgladdapan |
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 |
2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84866761876&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/51512 |
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