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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

An Intelligent Energy Management Strategy Framework for Hybrid Electric Vehicles

Ostadian Bidgoli, Reihaneh January 2021 (has links)
This thesis proposes a novel framework for solving the energy management problem of Hybrid Electric Vehicles (HEVs). We aim to establish a practical and effective approach targeting an optimal Energy Management Strategy (EMS). A situation-specific Equivalent Consumption Minimization Strategy (ECMS) is developed to minimize fuel consumption and improve battery charge sustainability while maintaining an acceptable drive quality. The investigated methodology will be broadly applicable to all HEV applications; however, it will be well-suited for hybrid electric delivery applications. / Thesis / Master of Applied Science (MASc)
2

Hybrid Electric Vehicle Powertrain Laboratory

Xu, Min 11 1900 (has links)
Personal vehicles have made great contributions to our life and satisfy our daily mobility needs. However, they have also caused societal issues, such as air pollution and global warming. Further to the recent attention to low-carbon energy technologies and environmentally friendly mobility, hybrid electric vehicles play an important role in the current automotive industry. As a leading center and an educational institution in Canada, McMaster University wants to build a Hybrid Electric Vehicle Powertrain Laboratory for introducing undergraduate students to hybrid powertrain architectures, instrumentation and control. A phased development of the hybrid powertrain teaching laboratory is being pursued. The first phase is to design a electric motor laboratory, as a platform for demonstrating motor characteristics. A LabVIEW based interface is designed to enable electric motor characterization tests. This laboratory set-up is still under construction. Real experiments would be implemented, once finishing the utility connections. For the hybrid powertrain laboratory, an innovative design architecture is proposed to enable different hybrid architectures, such as series, parallel, and power-split modes to be investigated. Instead of a planetary gearbox, bevel gearboxes with a continuous variable transmission (CVT) are used for making the laboratory more compact and flexible for demonstrating hybrid functionalities. The additional generator provides the ability of input power-split for allowing the engine to operate at a narrow high efficiency region. After designing the hybrid laboratory, a novel rule-based energy management strategy is applied to a simplified simulation model. / Thesis / Master of Applied Science (MASc)
3

Μελέτη και υλοποίηση στρατηγικής διαχείρισης ενέργειας για τη βελτιωμένη οικονομική λειτουργία υβριδικού οχήματος με χρήση ψηφιακού μικροελεγκτή

Άννινος, Παναγιώτης 19 January 2010 (has links)
Στόχος της παρούσας διπλωματικής εργασίας ήταν η μελέτη και η υλοποίηση στρατηγικής διαχείρισης ενέργειας για τη βελτιωμένη οικονομική λειτουργία υβριδικού οχήματος με χρήση ψηφιακού μικροελεγκτή. Η προτεινόμενη στρατηγική, η οποία βασίζει τη λειτουργία της στην αρχή της ασαφούς λογικής αναπτύχθηκε και αρχικά δοκιμάστηκε, χρησιμοποιώντας το πρόγραμμα Matlab/Simulink. Για την επιβεβαίωση της ορθής λειτουργίας του συνολικού συστήματος αποτελούμενου από το ηλεκτρικό κινητήριο σύστημα, τη μηχανή εσωτερικής καύσης και το σύστημα διαχείρισης της ενέργειας, δημιουργήθηκε ένα μαθηματικό μοντέλο ενός υβριδικού οχήματος παράλληλης διάταξης, επίσης στο περιβάλλον Simulink,στο οποίο η διαχείριση της ενέργειας γίνεται μέσω του ανεπτυχθέντος ασαφούς ελεγκτή. Στόχος ήταν να ελεγχθεί η συμπεριφορά του ελεγκτή αυτού. Τέλος, κατασκευάστηκε το κύκλωμα υλοποίησης του ασαφούς ελεγκτή, χρησιμοποιώντας τον ψηφιακό μικροελεγκτή dsPIC30f4011 της εταιρίας Microchip. Για την υλοποίηση της λειτουργίας του ελεγκτή, αναπτύχθηκε ο αντίστοιχος κώδικας σε γλώσσα C, η λειτουργία του οποίου επιβεβαιώθηκε πειραματικά. / The objective of this master thesis was the study and the implementation of an energy management strategy, aiming for improved economic operation of hybrid vehicle using a digital microcontroller. The proposed strategy, based on the principles of fuzzy logic, was developed and initially tested using the environment Matlab/Simulink. To ascertain the correct operation of the system constituted by the electric motive system, the internal combustion machine and the energy management system, a mathematic model of hybrid vehicle of parallel provision was also created in Simulink. The energy management is implemented by the fuzzy controller. The main objective was to test the behavior of this controller. Finally, the electronic circuit of the fuzzy controller was manufactured. The digital microcontroller dsPIC30f4011 (Microchip company) was used. For the implementation of the operation of the controller, the corresponding code was developed in C language, the operation of which was experimentally confirmed.
4

Optimal energy management strategy for a fuel cell hybrid electric vehicle

Fletcher, Thomas P. January 2017 (has links)
The Energy Management Strategy (EMS) has a huge effect on the performance of any hybrid vehicle because it determines the operating point of almost every component associated with the powertrain. This means that its optimisation is an incredibly complex task which must consider a number of objectives including the fuel consumption, drive-ability, component degradation and straight-line performance. The EMS is of particular importance for Fuel Cell Hybrid Electric Vehicles (FCHEVs), not only to minimise the fuel consumption, but also to reduce the electrical stress on the fuel cell and maximise its useful lifetime. This is because the durability and cost of the fuel cell stack is one of the major obstacles preventing FCHEVs from being competitive with conventional vehicles. In this work, a novel EMS is developed, specifcally for Fuel Cell Hybrid Electric Vehicles (FCHEVs), which considers not only the fuel consumption, but also the degradation of the fuel cell in order to optimise the overall running cost of the vehicle. This work is believed to be the first of its kind to quantify effect of decisions made by the EMS on the fuel cell degradation, inclusive of multiple causes of voltage degradation. The performance of this new strategy is compared in simulation to a recent strategy from the literature designed solely to optimise the fuel consumption. It is found that the inclusion of the degradation metrics results in a 20% increase in fuel cell lifetime for only a 3.7% increase in the fuel consumption, meaning that the overall running cost is reduced by 9%. In addition to direct implementation on board a vehicle, this technique for optimising the degradation alongside the fuel consumption also allows alternative vehicle designs to be compared in an unbiased way. In order to demonstrate this, the novel optimisation technique is subsequently used to compare alternative system designs in order to identify the optimal economic sizing of the fuel cell and battery pack. It is found that the overall running cost can be minimised by using the smallest possible fuel cell stack that will satisfy the average power requirement of the duty cycle, and by using an oversized battery pack to maximise the fuel cell effciency and minimise the transient loading on the stack. This research was undertaken at Loughborough University as part of the Doctoral Training Centre (DTC) in Hydrogen, Fuel Cells and Their Applications in collaboration with the University of Birmingham and Nottingham University and with sponsorship from HORIBA-MIRA (Nuneaton, UK). A Microcab H4 test vehicle has been made available for use in testing for this research which was previously used for approximately 2 years at the University of Birmingham. The Microcab H4 is a small campus based vehicle designed for passenger transport and mail delivery at low speeds as seen on a university campus. It has a top speed of approximately 30mph, and is fitted with a 1.2kW fuel cell and a 2kWh battery pack.
5

Intégration de diverses conditions de fonctionnement dans l'identification en temps réel et la gestion énergétique d'un véhicule à pile à combustible = Integrating various operating conditions into real-time identification and energy management of a fuel cell vehicle

Kandidayeni, Mohsen January 2020 (has links) (PDF)
No description available.
6

Modeling and Energy Management of Hybrid Electric Vehicles

Bagwe, Rishikesh Mahesh 12 1900 (has links)
Indiana University-Purdue University Indianapolis (IUPUI) / This thesis proposes an Adaptive Rule-Based Energy Management Strategy (ARBS EMS) for a parallel hybrid electric vehicle (P-HEV). The strategy can effciently be deployed online without the need for complete knowledge of the entire duty cycle in order to optimize fuel consumption. ARBS improves upon the established Preliminary Rule-Based Strategy (PRBS) which has been adopted in commercial vehicles. When compared to PRBS, the aim of ARBS is to maintain the battery State of Charge (SOC) which ensures the availability of the battery over extended distances. The proposed strategy prevents the engine from operating in highly ineffcient regions and reduces the total equivalent fuel consumption of the vehicle. Using an HEV model developed in Simulink, both the proposed ARBS and the established PRBS strategies are compared across eight short duty cycles and one long duty cycle with urban and highway characteristics. Compared to PRBS, the results show that, on average, a 1.19% improvement in the miles per gallon equivalent (MPGe) is obtained with ARBS when the battery initial SOC is 63% for short duty cycles. However, as opposed to PRBS, ARBS has the advantage of not requiring any prior knowledge of the engine effciency maps in order to achieve optimal performance. This characteristics can help in the systematic aftermarket hybridization of heavy duty vehicles.
7

Intelligent Energy Management Strategy for Eco-driving in Connected and Autonomous Hybrid Electric Vehicles

Rathore, Aashit January 2021 (has links)
This thesis focuses on developing an intelligent energy management strategy for eco-driving in Connected and Autonomous Hybrid Electric Vehicles (CA-HEV's), which can be implemented in real-time. The strategy is divided into two layers, i.e. the upper level controller and the lower level controller. The upper level controller can be executed on the remote server. It is responsible for extracting the information from the driver about the trip and the vehicle information using the communication capabilities of the CA-HEV. The gathered information is then utilized by dynamic programming (DP), which is implemented in a bi-layer fashion to reduce the computation burden on the server. The outer layer of the DP algorithm and the optimal velocity trajectory and the inner layer optimizes the power distribution in the powertrain to minimize fuel consumption alongside maintaining charge balance conditions. These global optimal results are evaluated for an ideal environment without any traffic information. The lower level controller is responsible for real-time implementation on vehicles in the real world environment and is based on a well-accredited reinforcement learning (RL) strategy, i.e., Q-learning. The RL-based controller optimally distributes the power in a CA-HEV and maintains charge balance conditions. Furthermore, the RL-based controller is also trained on the remote server based on global optimal results obtained from the DP algorithm. The optimal parameter information is then resent to the vehicle's embedded controller for real-time implementation. Simulations are performed for Toyata Prius (2010) on MATLAB and Simulink, and road information is gathered from SUMO. Simulation results provide a comparative study between the global optimal and the RL-based controller. To validate the adaptiveness of the RL-based controller, it is also tested on two approximate real-world drivecycles and its performance is compared against global optimal results evaluated using DP. / Thesis / Master of Applied Science (MASc)
8

Optimal energy management strategy for hybrid electric vehicles with consideration of battery life

Tang, Li 23 June 2017 (has links)
No description available.
9

Driving Style Adaptive Electrified Powertrain Control

Li, Xuchen, Mr. 14 August 2018 (has links)
No description available.
10

Optimal Control of Electrified Powertrains with the Use of Drive Quality Criteria

Bovee, Katherine Marie January 2015 (has links)
No description available.

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