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Yaw moment MRAC with optimal torque vectoring for a four in-wheel motor EV
dc.contributor.author | Ghezzi, Matteo Kevin |
dc.contributor.author | Dòria Cerezo, Arnau |
dc.contributor.author | Olm Miras, Josep Maria |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Matemàtiques |
dc.date.accessioned | 2018-12-05T12:24:12Z |
dc.date.issued | 2018 |
dc.identifier.citation | Ghezzi, M., Doria-Cerezo, A., Olm, J. M. Yaw moment MRAC with optimal torque vectoring for a four in-wheel motor EV. A: IEEE International Conference on Industrial Technology. "2018 IEEE International Conference on Industrial Technology (ICIT): Lyon, France: February 19-22, 2018: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1820-1825. |
dc.identifier.isbn | 978-1-5386-4053-1 |
dc.identifier.uri | http://hdl.handle.net/2117/125461 |
dc.description.abstract | A direct yaw moment control of a four in-wheel motor independent drive electric vehicle is proposed. The advantages of this kind of vehicle are exploited by designing an optimal torque vectoring controller. The torque distribution computation coincides with the resolution of an optimization problem, which is carried out with the use of gradient method. Three different cost functions are taken into account to formulate the optimization problem. A yaw moment control is carried out with a Model Reference Adaptive Control. Numerical simulations show that satisfying result are obtained in terms of yaw rate reference tracking and torque distribution curves for common test scenarios like J-turn, single and double lane change. © 2018 IEEE. |
dc.format.extent | 6 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria elèctrica |
dc.subject | Àrees temàtiques de la UPC::Enginyeria mecànica::Motors |
dc.subject.lcsh | Electric vehicles |
dc.subject.other | Control |
dc.subject.other | In-wheel |
dc.subject.other | Moment |
dc.subject.other | MRAC |
dc.subject.other | Torque |
dc.subject.other | Vectoring |
dc.subject.other | Vehicle |
dc.subject.other | Yaw Control engineering |
dc.subject.other | Cost functions |
dc.subject.other | Electric machine control |
dc.subject.other | Gradient methods |
dc.subject.other | Method of moments |
dc.subject.other | Optimization |
dc.subject.other | Torque |
dc.subject.other | Traction motors |
dc.subject.other | Vehicle wheels |
dc.subject.other | Vehicles |
dc.subject.other | Direct yaw moment control |
dc.subject.other | Double lane changes |
dc.subject.other | In-wheel |
dc.subject.other | MRAC |
dc.subject.other | Optimization problems |
dc.subject.other | Torque distribution |
dc.subject.other | Vectoring |
dc.subject.other | Yaw moment control |
dc.subject.other | Model reference adaptive control |
dc.title | Yaw moment MRAC with optimal torque vectoring for a four in-wheel motor EV |
dc.type | Conference report |
dc.subject.lemac | Vehicles elèctrics |
dc.contributor.group | Universitat Politècnica de Catalunya. ACES - Control Avançat de Sistemes d'Energia |
dc.identifier.doi | 10.1109/ICIT.2018.8352460 |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8352460 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 23408852 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Ghezzi, M.; Doria-Cerezo, A.; Olm, Josep M. |
local.citation.contributor | IEEE International Conference on Industrial Technology |
local.citation.publicationName | 2018 IEEE International Conference on Industrial Technology (ICIT): Lyon, France: February 19-22, 2018: proceedings |
local.citation.startingPage | 1820 |
local.citation.endingPage | 1825 |