Ihorizon Enabled Energy Management For Electrified Vehicles

Author : Clara Marina Martinez,Dongpu Cao
Publisher : Butterworth-Heinemann
Page : 431 pages
File Size : 43,9 Mb
Release : 2018-09-11
Category : Technology & Engineering
ISBN : 9780128150115

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iHorizon-Enabled Energy Management for Electrified Vehicles by Clara Marina Martinez,Dongpu Cao Pdf

iHorizon-Enabled Energy Management for Electrified Vehicles proposes a realistic solution that assumes only scarce information is available prior to the start of a journey and that limited computational capability can be allocated for energy management. This type of framework exploits the available resources and closely emulates optimal results that are generated with an offline global optimal algorithm. In addition, the authors consider the present and future of the automotive industry and the move towards increasing levels of automation. Driver vehicle-infrastructure is integrated to address the high level of interdependence of hybrid powertrains and to comply with connected vehicle infrastructure. This book targets upper-division undergraduate students and graduate students interested in control applied to the automotive sector, including electrified powertrains, ADAS features, and vehicle automation. Addresses the level of integration of electrified powertrains Presents the state-of-the-art of electrified vehicle energy control Offers a novel concept able to perform dynamic speed profile and energy demand prediction

Author : Teng Liu
Publisher : Morgan & Claypool Publishers
Page : 99 pages
File Size : 45,8 Mb
Release : 2019-09-03
Category : Technology & Engineering
ISBN : 9781681736198

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Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles by Teng Liu Pdf

Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles. Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application. In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.

Author : Teng Liu
Publisher : Springer Nature
Page : 90 pages
File Size : 51,8 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031015038

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Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles by Teng Liu Pdf

Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles. Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application. In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.

Author : Simona Onori,Lorenzo Serrao,Giorgio Rizzoni
Publisher : Springer
Page : 112 pages
File Size : 45,9 Mb
Release : 2015-12-16
Category : Technology & Engineering
ISBN : 9781447167815

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Hybrid Electric Vehicles by Simona Onori,Lorenzo Serrao,Giorgio Rizzoni Pdf

This SpringerBrief deals with the control and optimization problem in hybrid electric vehicles. Given that there are two (or more) energy sources (i.e., battery and fuel) in hybrid vehicles, it shows the reader how to implement an energy-management strategy that decides how much of the vehicle’s power is provided by each source instant by instant. Hybrid Electric Vehicles: •introduces methods for modeling energy flow in hybrid electric vehicles; •presents a standard mathematical formulation of the optimal control problem; •discusses different optimization and control strategies for energy management, integrating the most recent research results; and •carries out an overall comparison of the different control strategies presented. Chapter by chapter, a case study is thoroughly developed, providing illustrative numerical examples that show the basic principles applied to real-world situations. The brief is intended as a straightforward tool for learning quickly about state-of-the-art energy-management strategies. It is particularly well-suited to the needs of graduate students and engineers already familiar with the basics of hybrid vehicles but who wish to learn more about their control strategies.

Author : Li Yeuching,He Hongwen
Publisher : Springer Nature
Page : 123 pages
File Size : 52,8 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031792069

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Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles by Li Yeuching,He Hongwen Pdf

The urgent need for vehicle electrification and improvement in fuel efficiency has gained increasing attention worldwide. Regarding this concern, the solution of hybrid vehicle systems has proven its value from academic research and industry applications, where energy management plays a key role in taking full advantage of hybrid electric vehicles (HEVs). There are many well-established energy management approaches, ranging from rules-based strategies to optimization-based methods, that can provide diverse options to achieve higher fuel economy performance. However, the research scope for energy management is still expanding with the development of intelligent transportation systems and the improvement in onboard sensing and computing resources. Owing to the boom in machine learning, especially deep learning and deep reinforcement learning (DRL), research on learning-based energy management strategies (EMSs) is gradually gaining more momentum. They have shown great promise in not only being capable of dealing with big data, but also in generalizing previously learned rules to new scenarios without complex manually tunning. Focusing on learning-based energy management with DRL as the core, this book begins with an introduction to the background of DRL in HEV energy management. The strengths and limitations of typical DRL-based EMSs are identified according to the types of state space and action space in energy management. Accordingly, value-based, policy gradient-based, and hybrid action space-oriented energy management methods via DRL are discussed, respectively. Finally, a general online integration scheme for DRL-based EMS is described to bridge the gap between strategy learning in the simulator and strategy deployment on the vehicle controller.

Author : Ahmad Taher Azar,Nashwa Ahmad Kamal
Publisher : Academic Press
Page : 762 pages
File Size : 53,8 Mb
Release : 2021-09-09
Category : Technology & Engineering
ISBN : 9780323859912

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Design, Analysis and Applications of Renewable Energy Systems by Ahmad Taher Azar,Nashwa Ahmad Kamal Pdf

Design, Analysis and Applications of Renewable Energy Systems covers recent advancements in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by leading energy systems engineering researchers. The book focuses on present novel solutions for many problems in the field, covering modeling, control theorems and the optimization techniques that will help solve many scientific issues for researchers. Multidisciplinary applications are also discussed, along with their fundamentals, modeling, analysis, design, realization and experimental results. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Presents some of the latest innovative approaches to renewable energy systems from the point-of-view of dynamic modeling, system analysis, optimization, control and circuit design Focuses on advances related to optimization techniques for renewable energy and forecasting using machine learning methods Includes new circuits and systems, helping researchers solve many nonlinear problems

Author : Teng Liu
Publisher : Synthesis Lectures on Advances
Page : 99 pages
File Size : 53,5 Mb
Release : 2019-09-03
Category : Computers
ISBN : 1681736209

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Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles by Teng Liu Pdf

Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles. Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application. In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.

Author : Siba Prasada Panigrahi
Publisher : Butterworth-Heinemann
Page : 544 pages
File Size : 51,7 Mb
Release : 2016-09-01
Category : Technology & Engineering
ISBN : 0128011793

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Energy Management in Hybrid Electric Vehicles by Siba Prasada Panigrahi Pdf

Energy Management in Hybrid Electric Vehicles provides the basics of energy management, powertrain configuration, and optimization in hybrid electric vehicles (HEVs), beginning with an introduction to industry challenges and the state-of-the-art in electric, hybrid, and fuel cell vehicles. It then considers, in detail, critical topics such as HEV architecture, battery technology, and regenerative braking, also providing guidance on different control and simulation models alongside the latest advances in rule-based and optimization-based approaches to energy management. Users will find a rare, practical overview of the knowledge needed to work in this fast-moving area. Provides an overview of the theory and practical examples needed for engineers to confidently analyze hybrid configurations and control strategies Ideal reference for those interested in energy management, hybrid electric vehicles, powertrain configuration, fuel cell vehicles, HEV architecture, battery technology, and regenerative braking Brings together, in a single resource, cutting-edge knowledge from the different fields involved in the development of hybrid electric vehicle technology Offers guidance on different control, simulation, and optimization approaches, enabling the selection of appropriate energy management solutions for particular applications

Author : Chen Lv,Yang Xing,Junzhi Zhang,Dongpu Cao
Publisher : Springer Nature
Page : 78 pages
File Size : 51,7 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031015045

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Cyber-Physical Vehicle Systems by Chen Lv,Yang Xing,Junzhi Zhang,Dongpu Cao Pdf

This book studies the design optimization, state estimation, and advanced control methods for cyber-physical vehicle systems (CPVS) and their applications in real-world automotive systems. First, in Chapter 1, key challenges and state-of-the-art of vehicle design and control in the context of cyber-physical systems are introduced. In Chapter 2, a cyber-physical system (CPS) based framework is proposed for high-level co-design optimization of the plant and controller parameters for CPVS, in view of vehicle's dynamic performance, drivability, and energy along with different driving styles. System description, requirements, constraints, optimization objectives, and methodology are investigated. In Chapter 3, an Artificial-Neural-Network-based estimation method is studied for accurate state estimation of CPVS. In Chapter 4, a high-precision controller is designed for a safety-critical CPVS. The detailed control synthesis and experimental validation are presented. The application results presented throughout the book validate the feasibility and effectiveness of the proposed theoretical methods of design, estimation, control, and optimization for cyber-physical vehicle systems.

Author : Subramaniam, Umashankar,Williamson, Sheldon S.,Krishna S., Mohan,J. L., Febin Daya
Publisher : IGI Global
Page : 293 pages
File Size : 41,5 Mb
Release : 2021-04-16
Category : Technology & Engineering
ISBN : 9781799876281

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Electric Vehicles and the Future of Energy Efficient Transportation by Subramaniam, Umashankar,Williamson, Sheldon S.,Krishna S., Mohan,J. L., Febin Daya Pdf

The electric vehicle market has been gradually gaining prominence in the world due to the rise in pollution levels caused by traditional IC engine-based vehicles. The advantages of electric vehicles are multi-pronged in terms of cost, energy efficiency, and environmental impact. The running and maintenance cost are considerably less than traditional models. The harmful exhaust emissions are reduced, besides the greenhouse gas emissions, when the electric vehicle is supplied from a renewable energy source. However, apart from some Western nations, many developing and underdeveloped countries have yet to take up this initiative. This lack of enthusiasm has been primarily attributed to the capital investment required for charging infrastructure and the slow transition of energy generation from the fossil fuel to the renewable energy format. Currently, there are very few charging stations, and the construction of the same needs to be ramped up to supplement the growth of electric vehicles. Grid integration issues also crop up when the electric vehicle is used to either do supply addition to or draw power from the grid. These problems need to be fixed at all the levels to enhance the future of energy efficient transportation. Electric Vehicles and the Future of Energy Efficient Transportation explores the growth and adoption of electric vehicles for the purpose of sustainable transportation and presents a critical analysis in terms of the economics, technology, and environmental perspectives of electric vehicles. The chapters cover the benefits and limitations of electric vehicles, techno-economic feasibility of the technologies being developed, and the impact this has on society. Specific points of discussion include electric vehicle architecture, wireless power transfer, battery management, and renewable resources. This book is of interest for individuals in the automotive sector and allied industries, policymakers, practitioners, engineers, technicians, researchers, academicians, and students looking for updated information on the technology, economics, policy, and environmental aspects of electric vehicles.

Author : Siba Panigrahi
Publisher : Butterworth-Heinemann
Page : 128 pages
File Size : 45,9 Mb
Release : 2016-09
Category : Electronic
ISBN : 0128044276

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Energy Management in Hybrid Electric Vehicles by Siba Panigrahi Pdf

Author : Chris Mi,M. Abul Masrur
Publisher : John Wiley & Sons
Page : 600 pages
File Size : 43,8 Mb
Release : 2017-09-11
Category : Technology & Engineering
ISBN : 9781118970539

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Hybrid Electric Vehicles by Chris Mi,M. Abul Masrur Pdf

The latest developments in the field of hybrid electric vehicles Hybrid Electric Vehicles provides an introduction to hybrid vehicles, which include purely electric, hybrid electric, hybrid hydraulic, fuel cell vehicles, plug-in hybrid electric, and off-road hybrid vehicular systems. It focuses on the power and propulsion systems for these vehicles, including issues related to power and energy management. Other topics covered include hybrid vs. pure electric, HEV system architecture (including plug-in & charging control and hydraulic), off-road and other industrial utility vehicles, safety and EMC, storage technologies, vehicular power and energy management, diagnostics and prognostics, and electromechanical vibration issues. Hybrid Electric Vehicles, Second Edition is a comprehensively updated new edition with four new chapters covering recent advances in hybrid vehicle technology. New areas covered include battery modelling, charger design, and wireless charging. Substantial details have also been included on the architecture of hybrid excavators in the chapter related to special hybrid vehicles. Also included is a chapter providing an overview of hybrid vehicle technology, which offers a perspective on the current debate on sustainability and the environmental impact of hybrid and electric vehicle technology. Completely updated with new chapters Covers recent developments, breakthroughs, and technologies, including new drive topologies Explains HEV fundamentals and applications Offers a holistic perspective on vehicle electrification Hybrid Electric Vehicles: Principles and Applications with Practical Perspectives, Second Edition is a great resource for researchers and practitioners in the automotive industry, as well as for graduate students in automotive engineering.

Author : Sumedha Rajakaruna,Farhad Shahnia,Arindam Ghosh
Publisher : Springer
Page : 0 pages
File Size : 45,5 Mb
Release : 2016-09-22
Category : Technology & Engineering
ISBN : 9811013756

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Plug In Electric Vehicles in Smart Grids by Sumedha Rajakaruna,Farhad Shahnia,Arindam Ghosh Pdf

This book highlights the cutting-edge research on energy management within smart grids with significant deployment of Plug-in Electric Vehicles (PEV). These vehicles not only can be a significant electrical power consumer during Grid to Vehicle (G2V) charging mode, they can also be smartly utilized as a controlled source of electrical power when they are used in Vehicle to Grid (V2G) operating mode. Electricity Price, Time of Use Tariffs, Quality of Service, Social Welfare as well as electrical parameters of the network are all different criteria considered by the researchers when developing energy management techniques for PEVs. Risk averse stochastic energy hub management, maximizing profits in ancillary service markets, power market bidding strategies for fleets of PEVs, energy management of PEVs in the presence of renewable energy in distribution lines or microgrids and loss minimization in distribution networks based on smart coordination approaches using real time energy prices are some of the attractive and novel topics explored in this book. It will be an excellent reference for graduate students, researchers and industry professionals who are interested in getting a snapshot view of today’s latest research on applying various smart energy management strategies for smart grids with high penetration of PEVs.

Author : Daniel Watzenig,Bernhard Brandstätter
Publisher : Springer
Page : 99 pages
File Size : 53,7 Mb
Release : 2017-05-17
Category : Technology & Engineering
ISBN : 9783319531656

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Comprehensive Energy Management – Eco Routing & Velocity Profiles by Daniel Watzenig,Bernhard Brandstätter Pdf

The book discusses the emerging topic of comprehensive energy management in electric vehicles from the viewpoint of academia and from the industrial perspective. It provides a seamless coverage of all relevant systems and control algorithms for comprehensive energy management, their integration on a multi-core system and their reliability assurance (validation and test). Relevant European projects contributing to the evolvement of comprehensive energy management in fully electric vehicles are also included.

Author : Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta
Publisher : Springer Nature
Page : 563 pages
File Size : 55,9 Mb
Release : 2022-09-07
Category : Technology & Engineering
ISBN : 9783031067808

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AI-enabled Technologies for Autonomous and Connected Vehicles by Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta Pdf

This book reports on cutting-edge research and advances in the field of intelligent vehicle systems. It presents a broad range of AI-enabled technologies, with a focus on automated, autonomous and connected vehicle systems. It covers advanced machine learning technologies, including deep and reinforcement learning algorithms, transfer learning and learning from big data, as well as control theory applied to mobility and vehicle systems. Furthermore, it reports on cutting-edge technologies for environmental perception and vehicle-to-everything (V2X), discussing socioeconomic and environmental implications, and aspects related to human factors and energy-efficiency alike, of automated mobility. Gathering chapters written by renowned researchers and professionals, this book offers a good balance of theoretical and practical knowledge. It provides researchers, practitioners and policy makers with a comprehensive and timely guide on the field of autonomous driving technologies.