https://scholars.lib.ntu.edu.tw/handle/123456789/432327
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chou F.-C. | en_US |
dc.contributor.author | Li K. | en_US |
dc.contributor.author | Jeng L.-W. | en_US |
dc.contributor.author | Li C.-H. | en_US |
dc.contributor.author | Kang LI | zz |
dc.creator | Kang LI;Li C.-H.;Jeng L.-W.;Li K.;Chou F.-C. | - |
dc.date.accessioned | 2019-11-25T07:58:14Z | - |
dc.date.available | 2019-11-25T07:58:14Z | - |
dc.date.issued | 2013 | - |
dc.identifier.isbn | 9781479923847 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84897733903&doi=10.1109%2fCACS.2013.6734171&partnerID=40&md5=2d6c1f05de88354d413f519800846a36 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/432327 | - |
dc.description.abstract | This research explores energy-efficient torque distribution strategies for a compound electric vehicle (EV), whose propulsion system employs a single induction motor (IM) at the front wheel axle and two permanent magnet synchronous motors (PMSM) in the rear wheels. In addition, it is our research goal to utilize the information and communication technology (ICT) to enhance the energy efficiency of the compound EV. The model predictive control (MPC) strategy is proposed with the aim to utilize up-to-date road and traffic information through ICT to keep optimizing the torque distribution of the compound EV while satisfying driver's torque demands and constraints due to vehicle dynamics, safety and actuator limitations, etc. The performance of the proposed MPC-based torque distribution scheme is evaluated through the hardware-in-the-loop simulations (HiLS). Experimental results show that the MPC strategy can outperform alternative solutions including the dynamic programming approach. Moreover, the FTP-72 driving cycle tests reveal that the proposed compound EV consumes less energy than existing EVs with a single induction motor by ∼6% in urban driving conditions. © 2013 IEEE. | - |
dc.relation.ispartof | 2013 CACS International Automatic Control Conference | - |
dc.subject.classification | [SDGs]SDG7 | - |
dc.subject.other | Actuator limitations; Alternative solutions; Driving conditions; Hardware-in-the-loop simulation; Information and Communication Technologies; Permanent Magnet Synchronous Motor; Torque distribution; Traffic information; Automation; Control; Electric vehicles; Energy efficiency; Front axles; Induction motors; Information technology; Model predictive control; Optimization; Permanent magnets; Synchronous motors; Torque; Wheels; Predictive control systems | - |
dc.title | Model predictive control based optimal torque distribution strategy for a compound electric vehicle | en_US |
dc.type | conference paper | en |
dc.identifier.doi | 10.1109/CACS.2013.6734171 | - |
dc.identifier.scopus | 2-s2.0-84897733903 | - |
dc.relation.pages | 417-422 | - |
item.fulltext | no fulltext | - |
item.cerifentitytype | Publications | - |
item.openairetype | conference paper | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.grantfulltext | none | - |
crisitem.author.dept | Mechanical Engineering | - |
crisitem.author.orcid | 0000-0003-0914-7853 | - |
crisitem.author.parentorg | College of Engineering | - |
顯示於: | 機械工程學系 |
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