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: | , , |
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| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2014
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| 在線閱讀: | 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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| 機構: | Chiang Mai University |
| 語言: | English |
| 總結: | 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. |
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