Artificial Intelligent Techniques For Electric And Hybrid Electric Vehicles

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Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Author : Chitra A.
Publisher : John Wiley & Sons
ISBN 13 : 1119681901
Total Pages : 288 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles by : Chitra A.

Download or read book Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles written by Chitra A. and published by John Wiley & Sons. This book was released on 2020-07-21 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric vehicles are changing transportation dramatically and this unique book merges the many disciplines that contribute research to make EV possible, so the reader is informed about all the underlying science and technologies driving the change. An emission-free mobility system is the only way to save the world from the greenhouse effect and other ecological issues. This belief has led to a tremendous growth in the demand for electric vehicles (EV) and hybrid electric vehicles (HEV), which are predicted to have a promising future based on the goals fixed by the European Commission's Horizon 2020 program. This book brings together the research that has been carried out in the EV/HEV sector and the leading role of advanced optimization techniques with artificial intelligence (AI). This is achieved by compiling the findings of various studies in the electrical, electronics, computer, and mechanical domains for the EV/HEV system. In addition to acting as a hub for information on these research findings, the book also addresses the challenges in the EV/HEV sector and provides proven solutions that involve the most promising AI techniques. Since the commercialization of EVs/HEVs still remains a challenge in industries in terms of performance and cost, these are the two tradeoffs which need to be researched in order to arrive at an optimal solution. Therefore, this book focuses on the convergence of various technologies involved in EVs/HEVs. Since all countries will gradually shift from conventional internal combustion (IC) engine-based vehicles to EVs/HEVs in the near future, it also serves as a useful reliable resource for multidisciplinary researchers and industry teams.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Author : Teng Liu
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681736195
Total Pages : 99 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles by : Teng Liu

Download or read book Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles written by Teng Liu and published by Morgan & Claypool Publishers. This book was released on 2019-09-03 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Hybrid Electric Vehicle Design and Control: Intelligent Omnidirectional Hybrids

Author : Yangsheng Xu
Publisher : McGraw Hill Professional
ISBN 13 : 0071826823
Total Pages : 304 pages
Book Rating : 4.0/5 (718 download)

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Book Synopsis Hybrid Electric Vehicle Design and Control: Intelligent Omnidirectional Hybrids by : Yangsheng Xu

Download or read book Hybrid Electric Vehicle Design and Control: Intelligent Omnidirectional Hybrids written by Yangsheng Xu and published by McGraw Hill Professional. This book was released on 2013-09-22 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build state-of-the-art intelligent omnidirectional HEVs Engineer high-performance, low-emission automobiles by overcoming traditional obstacles and efficiently harnessing energy from multiple sources. Hybrid Electric Vehicle Design and Control features complete coverage of all electrical, mechanical, and software components. Find out how to develop fast-charging battery systems, efficiently manage power, implement independent steering and force control, and enhance driving stability and controllability. This comprehensive guide offers detailed modeling, testing, and tuning techniques and provides an overview of emerging developments in hybrid technologies. Coverage includes: 4WIS and 4WID hardware and software Hybrid vehicle design structures Zero-radius turning and lateral parking Steer-by-wire and extended steering Behavior-based and zero-radius steering Traction force distribution and stability Battery, energy, and power management systems Cell equalization and fast-charging control MPC, load forecasting, and neural network classifi cation Best performance techniques

Smart Electric and Hybrid Vehicles

Author : Ajay Kumar
Publisher :
ISBN 13 : 9781032801285
Total Pages : 0 pages
Book Rating : 4.8/5 (12 download)

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Book Synopsis Smart Electric and Hybrid Vehicles by : Ajay Kumar

Download or read book Smart Electric and Hybrid Vehicles written by Ajay Kumar and published by . This book was released on 2024-08-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book recent developments, future outlook, advanced and analytical modeling techniques of smart electric and hybrid vehicles are explained with examples backed by experimental and numerical data. It also discusses the integration of newer developments like digital twin, artificial intelligence, Nature inspired algorithms, Internet of Things, role of Industry 4.0 in advancements in vehicle engineering. It compiles overall aspects of advancements in smart electric and hybrid vehicles by bringing the latest research and development by comprehensive range of mathematical, numerical and simulation modeling, and management techniques to strengthen the engineering science and technological developments for future. This book: This book focuses on contemporary aspects of smart electric and hybrid vehicles techniques for new means and models for green environment. Discusses the role of artificial intelligence, machine learning, and machine vision tools in smart electric and hybrid vehicles. Presents design and analysis of charging stations and their sustainability roadmap for smart electric vehicles. Highlights the cyber and functional security of intelligent and hybrid vehicles. Explains diagnostics, prognostics, reliability, and durability issues in smart electric and hybrid vehicles. Covers Internet of things-based battery and charging management approach and effect of voltage drop in charging capacity of smart electric vehicles. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management

Author : Jili Tao
Publisher : Elsevier
ISBN 13 : 0443131902
Total Pages : 348 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management by : Jili Tao

Download or read book Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management written by Jili Tao and published by Elsevier. This book was released on 2024-06-07 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process, program code, experimental results, and algorithm performance evaluation are provided.Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management is a valuable reference for anyone involved in the modelling and management of hybrid electric vehicles, and will be of interest to graduate students, researchers, and professionals working on HEVs in the fields of energy, electrical, and automotive engineering. Provides a guide to the modeling and simulation methods of hybrid electric vehicle energy systems, including fuel cell systems Describes the fundamental concepts and theory behind CNN, MPC, fuzzy control, multi objective optimization, fuzzy Q-learning and DDPG Explains how to use energy management methods such as parameter estimation, Q-learning, and pattern recognition, including battery State of Health and State of Charge prediction, and vehicle operating conditions

E-Mobility

Author : M. Kathiresh
Publisher : Springer Nature
ISBN 13 : 3030854248
Total Pages : 301 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis E-Mobility by : M. Kathiresh

Download or read book E-Mobility written by M. Kathiresh and published by Springer Nature. This book was released on 2021-12-01 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides easy interpretable explanations for the key technologies involved in Electric Vehicles and Hybrid Electric Vehicles. The authors discuss the various electrical machines, drives, and controls used in EV and HEV. The book provides a detailed coverage of Regenerative Braking Systems used in EV and HEV. The book also illustrates the battery technology and battery management systems in EV and HEV. This book is intended for academicians, researchers and industrialists. In addition, this book has the following features Discusses the various Economic and Environmental Impact of Electric and Hybrid Electric Vehicles Discusses the role of Artificial Intelligence in Electric / Hybrid Electric Vehicles Illustrates the concept of Vehicle to Grid Technology and the smart charging station infrastructure and issues involved in the same Elucidates the concept of Internet of Vehicles Presents the latest research and applications in alternate energy vehicles

Electric Vehicles

Author : Nil Patel
Publisher : Springer Nature
ISBN 13 : 9811592519
Total Pages : 292 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Electric Vehicles by : Nil Patel

Download or read book Electric Vehicles written by Nil Patel and published by Springer Nature. This book was released on 2020-11-25 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the latest emerging technologies in electric vehicles (EV), and their economic and environmental impact. The topics covered include different types of EV such as hybrid electrical vehicle (HEV), battery electrical vehicle (BEV), fuel cell electrical vehicle (FCEV), plug-in hybrid electrical vehicle (PHEV). Theoretical background and practical examples of conventional electrical machines, advanced electrical machines, battery energy sources, on-board charging and off-board charging techniques, and optimization methods are presented here. This book can be useful for students, researchers and practitioners interested in different problems and challenges associated with electric vehicles.

Hybrid Electric Vehicles

Author : Simona Onori
Publisher : Springer
ISBN 13 : 1447167813
Total Pages : 112 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Hybrid Electric Vehicles by : Simona Onori

Download or read book Hybrid Electric Vehicles written by Simona Onori and published by Springer. This book was released on 2015-12-16 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications

Author : Angalaeswari, S.
Publisher : IGI Global
ISBN 13 : 1668488183
Total Pages : 308 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications by : Angalaeswari, S.

Download or read book AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications written by Angalaeswari, S. and published by IGI Global. This book was released on 2023-02-03 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence techniques applied in the power system sector make the prediction of renewable power source generation and demand more efficient and effective. Additionally, since renewable sources are intermittent in nature, it is necessary to predict and analyze the data of input sources. Hence, further study on the prediction and data analysis of renewable energy sources for sustainable development is required. AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed generators. Covering key topics such as deep learning, artificial intelligence, and smart solar energy, this premier reference source is ideal for environmentalists, computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Intelligent Renewable Energy Systems

Author : Neeraj Priyadarshi
Publisher : John Wiley & Sons
ISBN 13 : 1119786274
Total Pages : 484 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Intelligent Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Intelligent Renewable Energy Systems written by Neeraj Priyadarshi and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Fast Charging Infrastructure for Electric and Hybrid Electric Vehicles

Author : Sivaraman Palanisamy
Publisher : John Wiley & Sons
ISBN 13 : 1119987741
Total Pages : 244 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Fast Charging Infrastructure for Electric and Hybrid Electric Vehicles by : Sivaraman Palanisamy

Download or read book Fast Charging Infrastructure for Electric and Hybrid Electric Vehicles written by Sivaraman Palanisamy and published by John Wiley & Sons. This book was released on 2023-07-19 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fast-Charging Infrastructure for Electric and Hybrid Electric Vehicles Comprehensive resource describing fast-charging infrastructure in electric vehicles, including various subsystems involved in the power system architecture needed for fast-charging Fast-Charging Infrastructure for Electric and Hybrid Electric Vehicles presents various aspects of fast-charging infrastructure, including the location of fast-charging stations, revenue models and tariff structures, power electronic converters, power quality problems such as harmonics & supraharmonics, energy storage systems, and wireless-charging, electrical distribution infrastructures and planning. This book serves as a guide to learn recent advanced technologies with examples and case studies. It also considers problems that arise, and the mitigation methods involved, in fast-charging stations in global aspects and provides tools for analysis. Sample topics covered in Fast-Charging Infrastructure for Electric and Hybrid Electric Vehicles include: Selection of fast-charging stations, advanced power electronic converter topologies for EV fast-charging, wireless charging for plug-in HEV/EVs, and batteries for fast-charging infrastructure Standards for fast-charging infrastructure and power quality issues (analysis of harmonic injection and system resonance conditions due to large-scale penetration of EVs and supraharmonic injection) For professionals in electric vehicle technology, along with graduate and senior undergraduates, professors, and researchers in related fields, Fast-Charging Infrastructure for Electric and Hybrid Electric Vehicles is a useful, comprehensive, and accessible guide to gain an overview of the current state of the art.

Smart Grids for Renewable Energy Systems, Electric Vehicles and Energy Storage Systems

Author : Rajkumar Viral
Publisher : CRC Press
ISBN 13 : 1000649466
Total Pages : 250 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Smart Grids for Renewable Energy Systems, Electric Vehicles and Energy Storage Systems by : Rajkumar Viral

Download or read book Smart Grids for Renewable Energy Systems, Electric Vehicles and Energy Storage Systems written by Rajkumar Viral and published by CRC Press. This book was released on 2022-10-10 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference text discusses simulation with case studies and realworld applications related to energy system models, the large-scale integration of renewable energy systems, electric vehicles, and energy storage systems. The text covers analysis and modeling of the large-scale integration of renewable energy systems, electric vehicles, and energy storage systems. It further discusses economic aspects useful for policy makers and industrial professionals. It covers important topics, including smart grids architectures, wide-area situational awareness (WASA), energy management systems (EMS), demand response (DR), smart grid standardization exertions, virtual power plants, battery degradation modeling, optimization approaches in modeling, and smart metering infrastructure. The book: Discusses the analysis and modeling of the large-scale integration of renewable energy systems, electric vehicles, and energy storage systems Covers issues and challenges encountered in the large-scale integration of electric vehicles, energy storage systems and renewable energy systems into future smart grid design Provides simulation with case studies and real-world applications related to energy system models, electric vehicles, and energy storage systems Discusses the integration of large renewable energy systems, with the presence of a large number of electric vehicles and storage devices/systems Discussing concepts of smart grids, together with the deployment of electric vehicles, energy storage systems and renewable energy systems, this text will be useful as a reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technologies. It further discusses topics, including electric grid infrastructure, architecture, interfacing, standardization, protocols, security, reliability, communication, and optimal control.

Applications of Artificial Intelligence Techniques in Engineering

Author : Hasmat Malik
Publisher : Springer
ISBN 13 : 9811318220
Total Pages : 647 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Applications of Artificial Intelligence Techniques in Engineering by : Hasmat Malik

Download or read book Applications of Artificial Intelligence Techniques in Engineering written by Hasmat Malik and published by Springer. This book was released on 2018-09-18 with total page 647 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.

Industry 4.0 Vision for the Supply of Energy and Materials

Author : Mahdi Sharifzadeh
Publisher : John Wiley & Sons
ISBN 13 : 1119695953
Total Pages : 400 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Industry 4.0 Vision for the Supply of Energy and Materials by : Mahdi Sharifzadeh

Download or read book Industry 4.0 Vision for the Supply of Energy and Materials written by Mahdi Sharifzadeh and published by John Wiley & Sons. This book was released on 2022-05-11 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industry 4.0 Vision for the Supply of Energy and Materials Explore the impact of Industry 4.0 technologies on the supply chain with this authoritative text written by a leader in his field In Industry 4.0 Vision for the Supply of Energy and Materials, distinguished researcher and editor, Dr. Mahdi Sharifzadeh, delivers thematic, analytic, and applied discussions of the Industry 4.0 vision for supply chain design and operation. The book compiles all current aspects and emerging notions of Industry 4.0 into clusters of “enablers” and “analytics” of Supply Chain 4.0. Their multifaceted and highly interconnected nature is discussed at length, as are their diverse range of applications. You will discover uses of these new technologies ranging from the supply of conventional energy networks to renewables, pharmaceuticals, and additive manufacturing. You will also learn about their implications for economic prosperity and environmental sustainability. For each sector, this book scrutinizes current industrial practice and discusses developing concepts. Finally, the book concludes with potential future research directions of interest to industry practitioners and academics alike. Readers will also benefit from the inclusion of: A thorough introduction to connectivity through wireless communications and remote sensors An exploration of blockchains and smart contracts, as well as robotics and automation and cloud computing Practical discussions of supply chain analytics, including big data, machine-learning, and artificial intelligence, as well as supply chain modeling, optimization, and control A concise treatment of Industry 4.0 applications in supply chain design and operation, including the circular economy and the power industry An analysis of the oil, gas, and petrochemical industry, the pharmaceutical industry, and additive manufacturing Perfect for PhD-level and Postdoctoral researchers and industrial researchers, Industry 4.0 Vision for the Supply of Energy and Materials will also earn a place in the libraries of working professionals with an interest in the quantitative analysis of Supply Chain 4.0 concepts and techniques.

Applications of AI and IOT in Renewable Energy

Author : Rabindra Nath Shaw
Publisher : Academic Press
ISBN 13 : 0323984010
Total Pages : 248 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Applications of AI and IOT in Renewable Energy by : Rabindra Nath Shaw

Download or read book Applications of AI and IOT in Renewable Energy written by Rabindra Nath Shaw and published by Academic Press. This book was released on 2022-02-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data

AI and IOT in Renewable Energy

Author : Rabindra Nath Shaw
Publisher : Springer Nature
ISBN 13 : 9811610118
Total Pages : 109 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis AI and IOT in Renewable Energy by : Rabindra Nath Shaw

Download or read book AI and IOT in Renewable Energy written by Rabindra Nath Shaw and published by Springer Nature. This book was released on 2021-05-12 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Author : Teng Liu
Publisher : Synthesis Lectures on Advances
ISBN 13 : 9781681736204
Total Pages : 99 pages
Book Rating : 4.7/5 (362 download)

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Book Synopsis Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles by : Teng Liu

Download or read book Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles written by Teng Liu and published by Synthesis Lectures on Advances. This book was released on 2019-09-03 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.