Speed Control of Hybrid Electric Vehicle Using Artificial Intelligence Techniques \\ International Journal of Computing and Network Technology .- 2014, Vol. 2, No. 1 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Speed Control of Hybrid Electric Vehicle Using Artificial Intelligence Techniques \\ International Journal of Computing and Network Technology .- 2014, Vol. 2, No. 1 write by Japjeet Kaur. This book was released on 2014. Speed Control of Hybrid Electric Vehicle Using Artificial Intelligence Techniques \\ International Journal of Computing and Network Technology .- 2014, Vol. 2, No. 1 available in PDF, EPUB and Kindle.
Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management
Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management write by Jili Tao. This book was released on 2024-06-07. Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management available in PDF, EPUB and Kindle. 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
Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles
Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles write by Chitra A.. This book was released on 2020-07-10. Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles available 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.
Smart Electric and Hybrid Vehicles
Smart Electric and Hybrid Vehicles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Smart Electric and Hybrid Vehicles write by Ajay Kumar. This book was released on 2024-08-14. Smart Electric and Hybrid Vehicles available in PDF, EPUB and Kindle. 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.
Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles write by Teng Liu. This book was released on 2019-09-03. Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles available 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.
