Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System

A Master of Science thesis in Electrical Engineering by Faris Ata Allah entitled, “Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System”, submitted in November 2023. Thesis advisor is Dr. Habib Ur Rehman and thesis co-advisor is Dr. Shayok Mukhopadhyay. Soft...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ata Allah, Faris (author)
التنسيق: doctoralThesis
منشور في: 2023
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/25470
الوسوم: إضافة وسم
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author Ata Allah, Faris
author_facet Ata Allah, Faris
author_role author
dc.contributor.none.fl_str_mv Rehman, Habib-ur
Mukhopadhyay, Shayok
dc.creator.none.fl_str_mv Ata Allah, Faris
dc.date.none.fl_str_mv 2023-11
2024-02-28T07:49:23Z
2024-02-28T07:49:23Z
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.identifier.none.fl_str_mv 35.232-2023.61
http://hdl.handle.net/11073/25470
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Electric Vehicle
Energy Management System
Field-Oriented Control
Fuzzy Logic Controller
PI controller
FOPI controller
Induction Motor
Lithium-ion Battery
dc.title.none.fl_str_mv Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Electrical Engineering by Faris Ata Allah entitled, “Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System”, submitted in November 2023. Thesis advisor is Dr. Habib Ur Rehman and thesis co-advisor is Dr. Shayok Mukhopadhyay. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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network_acronym_str aus
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oai_identifier_str oai:repository.aus.edu:11073/25470
publishDate 2023
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spelling Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction SystemAta Allah, FarisElectric VehicleEnergy Management SystemField-Oriented ControlFuzzy Logic ControllerPI controllerFOPI controllerInduction MotorLithium-ion BatteryA Master of Science thesis in Electrical Engineering by Faris Ata Allah entitled, “Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System”, submitted in November 2023. Thesis advisor is Dr. Habib Ur Rehman and thesis co-advisor is Dr. Shayok Mukhopadhyay. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).This work investigates first the use of nested Fractional Order Proportional Integral (FOPI) and conventional integer order Proportional Integral (PI) controllers and examines the effect of having both controllers in inner and outer loops. Ziegler-Nichols (ZN) and Cohen-Coon (CC) rules are used for the PI combinations on a prototype EV traction system consisting of an Indirect Field-Oriented Control (IFOC) based induction motor (IM) drive system. The speed regulation and power consumption of seven different combinations of controllers’ cases are analysed and compared. Then, the focus shifts towards two of the seven cases, where a comparison is made of the battery bank temperature and overall speed regulation performance, when motor speed is controlled via a ZN-PI based integer order controller against an FOPI controller tuned via existing rules in the literature. Furthermore, the FOPI controller is made to use the same gains as the ZN-PI controller, but only the order of the integral is varied to non-integer values lesser than unity. An EV traction system model with battery temperature sensing is developed and intensive simulation results show that ZN-PI gains based FOPI controller has lesser battery temperature rise and State of Charge (SOC) reduction without sacrificing speed regulation performance, which proved that changing the order of the integral to values lower than unity, has positive effect on battery temperature, and SOC, without sacrificing speed regulation performance. Hardware implementation of the three simulated cases is conducted to verify the simulations results. Finally, a novel temperature aware Energy Management System (EMS) using Fuzzy Logic Control (FLC), is proposed to reduce temperature rise and SOC depletion of the EV Lithium-ion (Li-ion) battery bank. This work has the potential to help in protecting and extending the EV battery bank life. Because small temperature rise and fast SOC depletion if sustained over a long period of time, may significantly harm an EV’s battery bank.College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE)Rehman, Habib-urMukhopadhyay, Shayok2024-02-28T07:49:23Z2024-02-28T07:49:23Z2023-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfapplication/pdf35.232-2023.61http://hdl.handle.net/11073/25470en_USoai:repository.aus.edu:11073/254702025-06-26T12:29:00Z
spellingShingle Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System
Ata Allah, Faris
Electric Vehicle
Energy Management System
Field-Oriented Control
Fuzzy Logic Controller
PI controller
FOPI controller
Induction Motor
Lithium-ion Battery
status_str publishedVersion
title Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System
title_full Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System
title_fullStr Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System
title_full_unstemmed Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System
title_short Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System
title_sort Nested FOPI and PI Controller Comparison and Battery Energy Management for EV Traction System
topic Electric Vehicle
Energy Management System
Field-Oriented Control
Fuzzy Logic Controller
PI controller
FOPI controller
Induction Motor
Lithium-ion Battery
url http://hdl.handle.net/11073/25470