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Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles
Author: Chitra A.
Publisher: John Wiley & Sons
Total Pages: 288
Release: 2020-07-21
Genre: Computers
ISBN: 1119681901
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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.

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles
Author: Chitra A.
Publisher: John Wiley & Sons
Total Pages: 288
Release: 2020-07-10
Genre: Computers
ISBN: 1119682010
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Download Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles Book in PDF, ePub and Kindle

Electric vehicles/hybrid electric vehicles (EV/HEV) commercialization is still a challenge in industries in terms of performance and cost. The performance along with cost reduction are two tradeoffs which need to be researched to arrive at an optimal solution. This book focuses on the convergence of various technologies involved in EV/HEV. The book brings together the research that is being carried out in the field of EV/HEV whose leading role is by optimization techniques with artificial intelligence (AI). Other featured research includes green drive schemes which involve the possible renewable energy sources integration to develop eco-friendly green vehicles, as well as Internet of Things (IoT)-based techniques for EV/HEVs. Electric vehicle research involves multi-disciplinary expertise from electrical, electronics, mechanical engineering and computer science. Consequently, this book serves as a point of convergence wherein all these domains are addressed and merged and will serve as a potential resource for industrialists and researchers working in the domain of electric vehicles.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
Author: Teng Liu
Publisher: Morgan & Claypool Publishers
Total Pages: 99
Release: 2019-09-03
Genre: Technology & Engineering
ISBN: 1681736195
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Download Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles Book in PDF, ePub and Kindle

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.

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management
Author: Jili Tao
Publisher: Elsevier
Total Pages: 348
Release: 2024-06-07
Genre: Science
ISBN: 0443131902
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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

Smart Electric and Hybrid Vehicles

Smart Electric and Hybrid Vehicles
Author: Ajay Kumar
Publisher: CRC Press
Total Pages: 213
Release: 2024-08-14
Genre: Technology & Engineering
ISBN: 1040099440
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In this book, recent developments, the future outlook, and 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, and the 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 the future. Features: • 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 the 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 undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and automotive engineering.

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

AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications
Author: Angalaeswari, S.
Publisher: IGI Global
Total Pages: 308
Release: 2023-02-03
Genre: Technology & Engineering
ISBN: 1668488183
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Download AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications Book in PDF, ePub and Kindle

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.

E-Mobility

E-Mobility
Author: M. Kathiresh
Publisher: Springer Nature
Total Pages: 301
Release: 2021-12-01
Genre: Technology & Engineering
ISBN: 3030854248
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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

Smart Electric and Hybrid Vehicles

Smart Electric and Hybrid Vehicles
Author: Ajay
Publisher:
Total Pages: 0
Release: 2024
Genre: Transportation
ISBN: 9781003502470
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"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"--

Smart Electric and Hybrid Vehicles

Smart Electric and Hybrid Vehicles
Author: Ajay Kumar
Publisher: CRC Press
Total Pages: 239
Release: 2024-08-14
Genre: Technology & Engineering
ISBN: 1040095658
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This book presents an analysis of the existing surveys in the literature of batteries, chargers, control systems, battery management systems, plugs, sockets, drives, and fuel-cell-based and plug-in smart electric and hybrid vehicles. It provides detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles and in-depth knowledge of power electronics tools in smart electric and hybrid vehicles. This book compiles the research work and findings in advancements of smart electric and hybrid vehicles from automobile, mechanical, electronic, electrical, computer science, and allied engineering domains and explains how smart electric and hybrid vehicles can be utilized without harmful emissions over the entire lifecycle of a vehicle and how reliance on fossil fuels can be reduced. Features: Discusses different types of lightweight and robust materials for the fabrication of smart electric and hybrid vehicles Presents computational models, emerging technologies, numerical techniques, and environmental and economic benefits applicable to electric vehicles Highlights the applications of smart and hybrid vehicles in diverse sectors including aerospace, agriculture, defense, and medical Covers electromechanical drives, storage systems, wireless charging, and component design for smart electric and hybrid vehicles Showcases a detailed comparative analysis of parameters of intelligent electric and hybrid vehicles with conventional vehicles It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and electronics engineering, computer engineering, and automotive engineering.