Energetski učinkovito usmjeravanje okretnog momenta za električna vozila s izravnim pogonom na četiri kotača zasnovano na optimalnoj alokaciji

master's thesis

• Title (english): Optimal allocation-based energy efficient torque vectoring for electric vehicles with direct four-wheel drive
• Author: Stjepan Barukčić
• Mentor: Branimir Škugor (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2024-07-16, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering; General Mechanical Engineering (Construction)

Abstract

Električna vozila s izravnim pogonom na sva četiri kotača (AWD) predstavljaju napredak u tehnologiji električnih automobila, nudeći poboljšane performanse i učinkovitost u odnosu na konvencionalna vozila. U ovakvim sustavima svaki kotač ima zaseban elektromotor, što omogućuje precizno upravljanje uzdužnom silom i momentom skretanja vozila kroz optimalno usmjeravanje momenta po pojedinačnim kotačima (eng. Torque Vectoring), što dodatno omogućuje poboljšano ubrzanje, stabilnost i upravljivost vozila, te smanjenje ukupne potrošnje energije i posljedično poboljšanje sveukupne energetske učinkovitosti pogona. U ovom radu, fokus je stavljen na optimalno usmjeravanje momenta tijekom uzdužnih režima pravocrtnog gibanja, koji uključuju ubrzavanja i kočenja bez skretanja, to jest slijeđenje profila brzine prema različitim voznim ciklusima. Pritom su razmotrena dva različita pristupa usmjeravanju momenta: i) temeljem ogledne tablice koja određuje optimalnu raspodjelu momenta između prednjih i stražnjih motora u ovisnosti o trenutnim voznim uvjetima, a koja je dobivena optimiranjem van realnog vremena, te ii) temeljem optimiranja u realnom vremenu, u kojem se u svakom vremenskom koraku upravljačke strategije rješava optimizacijski problem. Navedeni pristupi su detaljno analizirani i uspoređeni u smislu ukupne potrošene energije i trajanja rješavanja pripadnih optimizacijskih problema.

Abstract (english)

All-wheel drive electric vehicles (AWD) represent an advancement in electric car technology, offering improved performance and efficiency compared to conventional vehicles. In these systems, each wheel has a separate electric motor, allowing precise control of longitudinal force and turning torque through optimal torque vectoring, which further enhances acceleration, stability, and vehicle handling while reducing overall energy consumption and consequently improving overall drive efficiency. This paper focuses on optimal torque vectoring during longitudinal maneuvers, which include acceleration and braking without turning, i.e., following the speed profile according to different driving cycles. Two different approaches to torque vectoring are considered: i) based on a reference table that determines the optimal torque distribution between the front and rear motors depending on current driving conditions, obtained through off-line optimization, and ii) based on real-time optimization, where the control strategy solves the optimization problem at each time step. These approaches are thoroughly analyzed and compared in terms of total energy consumption and the time required to solve the corresponding optimization problems.

• Keywords: električno vozilo; usmjeravanje momenta; energetska učinkovitost; optimiranje; uzdužni manevri vozila
• Keywords (english): electric vehicle; torque vectoring; energy efficiency; optimization; longitudinal vehicle maneuvers
• Language: croatian
• URN:NBN: urn:nbn:hr:235:144244
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-07-12 10:01:17