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dc.contributor.author Jeon, Kiho -
dc.contributor.author Choi, Jung Hyun -
dc.contributor.author Oh, Sehoon -
dc.date.accessioned 2023-12-26T18:14:18Z -
dc.date.available 2023-12-26T18:14:18Z -
dc.date.created 2022-12-30 -
dc.date.issued 2022-02-20 -
dc.identifier.isbn 9781728177113 -
dc.identifier.issn 1943-6580 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46869 -
dc.description.abstract The demand of electric vehicles (EVs) is increasing because of environmental problems. However, the driving range of EVs is generally shorter than the internal combustion engine vehicles (ICEVs). To address the short driving range, an energy-oriented optimal torque distribution strategy is proposed and can directly consider the efficiency map of front and rear drivetrains. The proposed torque distribution algorithm can consider weightings which are the driving performance and efficiency indices corresponding to the states of the vehicle. The feasibility of the proposed torque distribution algorithm is validated by the simulation environment, which can depict the real driving environment. In order to compare with the proposed torque distribution algorithm, two conventional torque distribution algorithms are used. -
dc.language English -
dc.publisher IEEE Industrial Electronics Society -
dc.title An Optimal Torque Distribution Strategy Using Efficiency Maps of Front and Rear Drivetrain for Electric Vehicles -
dc.type Conference Paper -
dc.identifier.doi 10.1109/AMC51637.2022.9729254 -
dc.identifier.bibliographicCitation 17th IEEE International Conference on Advanced Motion Control (AMC), pp.396 - 401 -
dc.identifier.url http://static.gest.unipd.it/AMC2022/data/uploads/docs/program2.pdf -
dc.citation.conferencePlace IT -
dc.citation.conferencePlace Padova -
dc.citation.endPage 401 -
dc.citation.startPage 396 -
dc.citation.title 17th IEEE International Conference on Advanced Motion Control (AMC) -
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Department of Robotics and Mechatronics Engineering MCL(Motion Control Lab) 2. Conference Papers

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