Thermal Control Compensation of Induction Motor Drive in Electrified Powertrain

Ali, SMN; Hossain, MJ; Sharma, V; Kashif, M

Thermal Control Compensation of Induction Motor Drive in Electrified Powertrain

Ali, SMN Hossain, MJ Sharma, V Kashif, M

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE Conference on Technologies for Sustainability, SusTech 2020, 2020, 00, pp. 1-6
Issue Date:: 2020-04-01

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Field	Value	Language
dc.contributor.author	Ali, SMN
dc.contributor.author	Hossain, MJ
dc.contributor.author	Sharma, V
dc.contributor.author	Kashif, M
dc.date	2020-04-23
dc.date.accessioned	2021-02-01T06:58:27Z
dc.date.available	2021-02-01T06:58:27Z
dc.date.issued	2020-04-01
dc.identifier.citation	2020 IEEE Conference on Technologies for Sustainability, SusTech 2020, 2020, 00, pp. 1-6
dc.identifier.isbn	9781728131085
dc.identifier.uri	http://hdl.handle.net/10453/145705
dc.description.abstract	© 2020 IEEE. The increase in operating as well as environmental temperature of an electric vehicle (EV) motor drive causes significant variations in its performance parameters such as rotor, stator resistance and mutual inductance. This variation results in the overall performance degradation of electrified powertrain in the form of excessive fuel (battery) consumption and inability to meet the desired terminal characteristics such as speed, torque and flux. To mitigate this issue, a robust linear parameter varying (LPV) control incorporated with linear matrix inequalities (LMIs) is presented in this work that ensures L2 gain bound and closed-loop control system stability. A comparison of sliding mode control (SMC) is made with the proposed controller to validate its robustness. In order to verify the efficacy of LPV controller, its performance is tested against a New European Driving Cycle (NEDC) in MATLAB Simulink environment. The nonlinear simulation results gurantee the excellence of LPV performance.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE Conference on Technologies for Sustainability, SusTech 2020
dc.relation.ispartof	2020 IEEE Conference on Technologies for Sustainability (SusTech)
dc.relation.isbasedon	10.1109/SusTech47890.2020.9150527
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Thermal Control Compensation of Induction Motor Drive in Electrified Powertrain
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-04-30T00:00:00+1000Z
dc.date.updated	2021-02-01T06:58:23Z
pubs.finish-date	2020-04-25
pubs.publication-status	Published
pubs.start-date	2020-04-23
pubs.volume	00

Abstract:

© 2020 IEEE. The increase in operating as well as environmental temperature of an electric vehicle (EV) motor drive causes significant variations in its performance parameters such as rotor, stator resistance and mutual inductance. This variation results in the overall performance degradation of electrified powertrain in the form of excessive fuel (battery) consumption and inability to meet the desired terminal characteristics such as speed, torque and flux. To mitigate this issue, a robust linear parameter varying (LPV) control incorporated with linear matrix inequalities (LMIs) is presented in this work that ensures L2 gain bound and closed-loop control system stability. A comparison of sliding mode control (SMC) is made with the proposed controller to validate its robustness. In order to verify the efficacy of LPV controller, its performance is tested against a New European Driving Cycle (NEDC) in MATLAB Simulink environment. The nonlinear simulation results gurantee the excellence of LPV performance.

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http://hdl.handle.net/10453/145705