Modeling and Dynamics Control for Distributed Drive Electric Vehicles, Zhang, Xudong
Автор: Denton, Tom Название: Electric and Hybrid Vehicles ISBN: 0367273233 ISBN-13(EAN): 9780367273231 Издательство: Taylor&Francis Рейтинг: Цена: 5664.00 р. Наличие на складе: Поставка под заказ.
Описание: This straightforward and highly illustrated full colour textbook is endorsed by by the Institute of the Motor Industry, and introduces the subject for further education and undergraduate students as well as technicians. This new edition includes a new section on diagnostics and completely updated case studies.
Автор: Das, Shuvra Название: Modeling for Hybrid and Electric Vehicles Using Simscape ISBN: 3031003802 ISBN-13(EAN): 9783031003806 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Simscape, a Matlab/Simulink toolbox for modeling physical systems, is an ideally suited platform for developing and deploying models for systems and sub-systems that are critical for hybrid and electric vehicles.
Автор: Limebeer D. J. N., Massaro Matteo Название: Dynamics and Optimal Control of Road Vehicles ISBN: 0198825714 ISBN-13(EAN): 9780198825715 Издательство: Oxford Academ Рейтинг: Цена: 21622.00 р. Наличие на складе: Нет в наличии.
Описание: This book uniquely offers a unified treatment of tyre, car and motorcycle dynamics, and the application of nonlinear optimal control to vehicle-related problems within a single book. It is a comprehensive and yet accessible text that emphasises the theoretical aspects of vehicular modelling and control.
Автор: Szumanowski Antoni Название: Hybrid Electric Power Train Engineering and Technology ISBN: 1466640421 ISBN-13(EAN): 9781466640429 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 24116.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: <em>Hybrid Electric Power Train Engineering and Technology: Modeling, Control, and Simulation</em> provides readers with an academic investigation into HEV power train design using mathematical modelling and simulation of various hybrid electric motors and control systems. This book explores the construction of the most energy efficient power trains, which is of importance to designers, manufacturers, and students of mechanical engineering. This book is part of the <em>Research Essentials</em> collection.
Автор: Tang, Chen Khajepour, Amir Название: Narrow Tilting Vehicles ISBN: 303100373X ISBN-13(EAN): 9783031003738 Издательство: Springer Рейтинг: Цена: 4611.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Yuan Zou; Yann Chamaillard; Xiaosong Hu Название: Modeling and Control of Hybrid Propulsion for Ground Vehicles ISBN: 3662536714 ISBN-13(EAN): 9783662536711 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the systematic design of architectures, parameters and control of typical hybrid propulsion systems for wheeled and tracked vehicles based on a combination of theoretical research and engineering practice.
Описание: This book is a compilation of recent research on distributed optimization algorithms for the integral load management of plug-in electric vehicle (PEV) fleets and their potential services to the electricity system. It also includes detailed developed Matlab scripts. These algorithms can be implemented and extended to diverse applications where energy management is required (smart buildings, railways systems, task sharing in micro-grids, etc.). The proposed methodologies optimally manage PEV fleets’ charge and discharge schedules by applying classical optimization, game theory, and evolutionary game theory techniques. Taking owner’s requirements into consideration, these approaches provide services like load shifting, load balancing among phases of the system, reactive power supply, and task sharing among PEVs. The book is intended for use in graduate optimization and energy management courses, and readers are encouraged to test and adapt the scripts to their specific applications.
Автор: Amir Taghavipour; Mahyar Vajedi; Nasser L. Azad Название: Intelligent Control of Connected Plug-in Hybrid Electric Vehicles ISBN: 3030003132 ISBN-13(EAN): 9783030003135 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Поставка под заказ.
Описание: 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.
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.
Описание: This book tackles some of the most challenging problems in state estimation and traction coordinated control systems to improve the dynamic control performance of Distributed Electric Vehicles.
Автор: Sain, Chiranjit (Ghani Khan Choudhury Institute of Engineering & Technology, West Bengal, India) Banerjee, Atanu (National Institute of Technology, Meghalaya, India.) Biswas, Pabitra Kumar (NIT MIZORAM, INDIA.) Название: Control Strategies of Permanent Magnet Synchronous Motor Drive for Electric Vehicles ISBN: 103203890X ISBN-13(EAN): 9781032038902 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book demonstrates the development of various control strategies and illustration of dynamic performance intensification of a Permanent Magnet Synchronous Motor (PMSM) drive. Performance of a PMSM drive and control strategies executed through mathematical modelling is also discussed including case studies.
Автор: Limebeer, D. J. N. (professor Of Control Engineering, Department Of Of Engineering Science, Oxford University) Massaro, Matteo (associate Professor Of Название: Dynamics and optimal control of road vehicles ISBN: 0198825722 ISBN-13(EAN): 9780198825722 Издательство: Oxford Academ Рейтинг: Цена: 7760.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book uniquely offers a unified treatment of tyre, car and motorcycle dynamics, and the application of nonlinear optimal control to vehicle-related problems within a single book. It is a comprehensive and yet accessible text that emphasises the theoretical aspects of vehicular modelling and control.
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