Real Time Predictive Control Of Connected Vehicle Powertrains For Improved Energy Efficiency
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Real Time Predictive Control Of Connected Vehicle Powertrains For Improved Energy Efficiency
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Author :
language : en
Publisher:
Release Date : 2020
Real Time Predictive Control Of Connected Vehicle Powertrains For Improved Energy Efficiency written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Abstract : The continued push for the reduction of energy consumption across the automotive vehicle fleet has led to widespread adoption of hybrid and plug-in hybrid electric vehicles (PHEV) by auto manufacturers. In addition, connected and automated vehicle (CAV) technologies have seen rapid development in recent years and bring with them the potential to significantly impact vehicle energy consumption. This dissertation studies predictive control methods for PHEV powertrains that are enabled by CAV technologies with the goal of reducing vehicle energy consumption. First, a real-time predictive powertrain controller for PHEV energy management is developed. This controller utilizes predictions of future vehicle velocity and power demand in order to optimize powersplit decisions of the vehicle. This predictive powertrain controller utilizes nonlinear model predictive control (NMPC) to perform this optimization while being cognizant of future vehicle behavior. Second, the developed NMPC powertrain controller is thoroughly evaluated both in simulation and real-time testing. The controller is assessed over a large number of standardized and real-world drive cycles in simulation in order to properly quantify the energy savings benefits of the controller. In addition, the NMPC powertrain controller is deployed onto a real-time rapid prototyping embedded controller installed in a test vehicle. Using this real-time testing setup, the developed NMPC powertrain controller is evaluated using on-road testing for both energy savings performance and real-time performance. Third, a real-time integrated predictive powertrain controller (IPPC) for a multi-mode PHEV is presented. Utilizing predictions of future vehicle behavior, an optimal mode path plan is computed in order to determine a mode command best suited to the future conditions. In addition, this optimal mode path planning controller is integrated with the NMPC powertrain controller to create a real-time integrated predictive powertrain controller that is capable of full supervisory control for a multi-mode PHEV. Fourth, the IPPC is evaluated in simulation testing across a range of standard and real-world drive cycles in order to quantify the energy savings of the controller. This analysis is comprised of the combined benefit of the NMPC powertrain controller and the optimal mode path planning controller. The IPPC is deployed onto a rapid prototyping embedded controller for real-time evaluation. Using the real-time implementation of the IPPC, on-road testing was performed to assess both energy benefits and real-time performance of the IPPC. Finally, as the controllers developed in this research were evaluated for a single vehicle platform, the applicability of these controllers to other platforms is discussed. Multiple cases are discussed on how both the NMPC powertrain controller and the optimal mode path planning controller can be applied to other vehicle platforms in order to broaden the scope of this research.
Handbook Of Power Electronics In Autonomous And Electric Vehicles
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Author : Muhammad H. Rashid
language : en
Publisher: Elsevier
Release Date : 2024-07-22
Handbook Of Power Electronics In Autonomous And Electric Vehicles written by Muhammad H. Rashid and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-22 with Technology & Engineering categories.
Handbook of Power Electronics in Autonomous and Electric Vehicles provides advanced knowledge on autonomous systems, electric propulsion in electric vehicles, radars and sensors for autonomous systems, and relevant aspects of energy storage and battery charging. The work is designed to provide clear technical presentation with a focus on commercial viability. It supports any and all aspects of a project requiring specialist design, analysis, installation, commissioning and maintenance services. With this book in hand, engineers will be able to execute design, analysis and evaluation of assigned projects using sound engineering principles and commercial requirements, policies, and product and program requirements. - Presents core power systems and engineering applications relevant to autonomous and electric vehicles in characteristic depth and technical presentation - Offers practical support and guidance with detailed examples and applications for laboratory vehicular test plans and automotive field experimentation - Includes modern technical coverage of emergent fields, including sensors and radars, battery charging and monitoring, and vehicle cybersecurity
Proceedings Of Elm 2018
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Author : Jiuwen Cao
language : en
Publisher: Springer
Release Date : 2019-06-29
Proceedings Of Elm 2018 written by Jiuwen Cao and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-29 with Computers categories.
This book contains some selected papers from the International Conference on Extreme Learning Machine 2018, which was held in Singapore, November 21–23, 2018. This conference provided a forum for academics, researchers and engineers to share and exchange R&D experience on both theoretical studies and practical applications of the ELM technique and brain learning. Extreme Learning Machines (ELM) aims to enable pervasive learning and pervasive intelligence. As advocated by ELM theories, it is exciting to see the convergence of machine learning and biological learning from the long-term point of view. ELM may be one of the fundamental “learning particles” filling the gaps between machine learning and biological learning (of which activation functions are even unknown). ELM represents a suite of (machine and biological) learning techniques in which hidden neurons need not be tuned: inherited from their ancestors or randomly generated. ELM learning theories show that effective learning algorithms can be derived based on randomly generated hidden neurons (biological neurons, artificial neurons, wavelets, Fourier series, etc.) as long as they are nonlinear piecewise continuous, independent of training data and application environments. Increasingly, evidence from neuroscience suggests that similar principles apply in biological learning systems. ELM theories and algorithms argue that “random hidden neurons” capture an essential aspect of biological learning mechanisms as well as the intuitive sense that the efficiency of biological learning need not rely on computing power of neurons. ELM theories thus hint at possible reasons why the brain is more intelligent and effective than current computers. The main theme of ELM2018 is Hierarchical ELM, AI for IoT, Synergy of Machine Learning and Biological Learning. This book covers theories, algorithms and applications of ELM. It gives readers a glance at the most recent advances of ELM.
Intelligent Control Of Connected Plug In Hybrid Electric Vehicles
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Author : Amir Taghavipour
language : en
Publisher: Springer
Release Date : 2018-09-26
Intelligent Control Of Connected Plug In Hybrid Electric Vehicles written by Amir Taghavipour and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-26 with Technology & Engineering categories.
Intelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors, in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for the devised controllers to address the challenge of real-time implementation in the design of complex control systems. Using the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed to take advantage of previewed trip information to optimize battery depletion profiles is presented in the book. Different control strategies are compared and ways in which connecting vehicles via vehicle-to-vehicle communication can improve system performance are detailed. Intelligent Control of Connected Plug-in Hybrid Electric Vehicles is a useful source of information for postgraduate students and researchers in academic institutions participating in automotive research activities. Engineers and designers working in research and development for automotive companies will also find this book of interest. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Conat 2024 International Congress Of Automotive And Transport Engineering
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Author : Anghel Chiru
language : en
Publisher: Springer Nature
Release Date : 2024-11-19
Conat 2024 International Congress Of Automotive And Transport Engineering written by Anghel Chiru and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-19 with Technology & Engineering categories.
These 3-volume proceedings includes selected and reviewed papers from CONAT 2024 – the 13th edition of the International Congress of Automotive and Transport Engineering, held in Brasov, Romania, in November 2024. Authors are experts from research, industry and universities coming from around the world. The papers are covering the latest developments in automotive vehicles and environment, advanced transport systems and road traffic, advanced powertrain systems, new materials, manufacturing technologies and logistics, accident research and analysis and innovative solutions for automotive vehicles. The congress is organized by SIAR (Society of Automotive Engineers from Romania) in cooperation with SAE International and Transilvania University of Brasov. This first volume presents the papers on Advanced Powertrain Systems, Advanced Engineering Methods as well as Vehicle Dynamics and Vehicle Systems.
The Proceedings Of 2024 International Conference On Artificial Intelligence And Autonomous Transportation
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Author : Jun Liu
language : en
Publisher: Springer Nature
Release Date : 2025-04-01
The Proceedings Of 2024 International Conference On Artificial Intelligence And Autonomous Transportation written by Jun Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-01 with Technology & Engineering categories.
This book reflects the latest research trends, methods and experimental results in the field of Artificial Intelligence and Autonomous Transportation, which covers abundant state-of-the-art research theories and ideas. As a vital research area that is highly relevant to current developments in a number of technological domains, the topics covered include Autonomous Transportation Systems, Autonomous Transportation Management and Control Technology, Autonomous Transportation Equipment Technology, Vehicular Networking and Information Security, Emerging Technologies and Future Mobility, Intelligent water transportation technology, Cross-Domain Transportation Technology, and so on. The goal of the proceedings is to provide a major interdisciplinary forum for researchers, engineers, academics, and industry professionals to present the most innovative research and development in the field of Artificial Intelligence and Autonomous Transportation. Engineers and researchers from academia, industry, and government will also explore an insight view of the solutions that combine ideas from multiple disciplines in this area. The volumes serve as an excellent reference work for researchers and graduate students working in the areas of rail transportation, electrical engineering, and information technology.
Energy Efficient Driving Of Road Vehicles
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Author : Antonio Sciarretta
language : en
Publisher: Springer
Release Date : 2019-08-01
Energy Efficient Driving Of Road Vehicles written by Antonio Sciarretta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-01 with Technology & Engineering categories.
This book elaborates the science and engineering basis for energy-efficient driving in conventional and autonomous cars. After covering the physics of energy-efficient motion in conventional, hybrid, and electric powertrains, the book chiefly focuses on the energy-saving potential of connected and automated vehicles. It reveals how being connected to other vehicles and the infrastructure enables the anticipation of upcoming driving-relevant factors, e.g. hills, curves, slow traffic, state of traffic signals, and movements of nearby vehicles. In turn, automation allows vehicles to adjust their motion more precisely in anticipation of upcoming events, and to save energy. Lastly, the energy-efficient motion of connected and automated vehicles could have a harmonizing effect on mixed traffic, leading to additional energy savings for neighboring vehicles. Building on classical methods of powertrain modeling, optimization, and optimal control, the book further develops the theory of energy-efficient driving. In addition, it presents numerous theoretical and applied case studies that highlight the real-world implications of the theory developed. The book is chiefly intended for undergraduate and graduate engineering students and industry practitioners with a background in mechanical, electrical, or automotive engineering, computer science or robotics.
Automated And Electric Vehicle Design Informatics And Sustainability
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Author : Yue Cao
language : en
Publisher: Springer Nature
Release Date : 2022-10-28
Automated And Electric Vehicle Design Informatics And Sustainability written by Yue Cao and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-28 with Technology & Engineering categories.
This book focuses on the design, informatics, and energy sustainability of automated and electric vehicles. Both principles and engineering practice have been addressed, from design perspectives toward informatics enabled transport service operation including automated valet parking and charging use cases. This is achieved by providing an in-depth study on a number of major topics such as battery management, eco-driving system, telecommunications, transport and charging services, cyber-security, etc. The book benefits researchers, engineers, and graduate students in the fields of the intelligent transport system, telecommunication, cyber-security, and smart grids.
15th International Munich Chassis Symposium 2024
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Author : Peter E. Pfeffer
language : en
Publisher: Springer Nature
Release Date : 2025
15th International Munich Chassis Symposium 2024 written by Peter E. Pfeffer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Electronic books categories.
Zusammenfassung: Innovation and sustainability are the key factors in the development of a future-proof chassis. The symposium exceeded expectations and brought together leading experts in chassis technology from all over the world. The most impressive innovations included active suspension systems, on-board weighing equipment, efficient tire designs and the very latest brake-by-wire and steer-by-wire systems. Inspirational discussions and interesting presentations gave profound insights into the most recent technology. The opportunity for networking at the event allowed for in-depth conversations between representatives of industry, researchers and other experts. It is the variety of themes that makes this event unique. chassis.tech plus 2024 covered the entire bandwidth of chassis technologies from new products to sustainability, from steer-by-wire systems to software and from motion control to brake dust. Six keynote speeches and 49 presentations described the latest developments in the field of chassis and assistance systems. The symposium took place on June 4 and 5, 2024, in the Hotel Bayerischer Hof in Munich and more than 460 people attended. The highlight was a panel discussion with four of the keynote speakers and interactive participation from the audience. Contents Chassis Tech: Chassis and Systems.- Chassis Components.- Market Requirements and Regulatory Demands.- Development Methods.- Driving Simulations.- Artificial Intelligence.- Chassis Control. Target audiences Automotive engineers and chassis specialists as well as students looking for state-of-the-art information regarding their field of activity. Lecturers and instructors at universities and universities of applied sciences with the main subject of automotive engineering. Experts, researchers and development engineers of the automotive and the supplying industry. Publisher ATZlive stands for top quality and a high level of specialist information and is part of Springer Nature, one of the leading publishing groups worldwide for scientific, educational and specialist literature. Partner Partner TÜV SÜD is an international leading technical service organisation catering to the industry, mobility and certification segment
Intelligent Vehicles
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Author : David Fernández-Llorca
language : en
Publisher: MDPI
Release Date : 2020-11-24
Intelligent Vehicles written by David Fernández-Llorca and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-24 with Technology & Engineering categories.
This book presents the results of the successful Sensors Special Issue on Intelligent Vehicles that received submissions between March 2019 and May 2020. The Guest Editors of this Special Issue are Dr. David Fernández-Llorca, Dr. Ignacio Parra-Alonso, Dr. Iván García-Daza and Dr. Noelia Parra-Alonso, all from the Computer Engineering Department at the University of Alcalá (Madrid, Spain). A total of 32 manuscripts were finally accepted between 2019 and 2020, presented by top researchers from all over the world. The reader will find a well-representative set of current research and developments related to sensors and sensing for intelligent vehicles. The topics of the published manuscripts can be grouped into seven main categories: (1) assistance systems and automatic vehicle operation, (2) vehicle positioning and localization, (3) fault diagnosis and fail-x systems, (4) perception and scene understanding, (5) smart regenerative braking systems for electric vehicles, (6) driver behavior modeling and (7) intelligent sensing. We, the Guest Editors, hope that the readers will find this book to contain interesting papers for their research, papers that they will enjoy reading as much as we have enjoyed organizing this Special Issue