Narrow Tilting Vehicles, Tang, Chen Khajepour, Amir
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: Hussein T Mouftah; Melike Erol-Kantarci; Sameh Sorour Название: Connected and Autonomous Vehicles in Smart Cities ISBN: 0367350343 ISBN-13(EAN): 9780367350345 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers five fundamental pillars paving the road towards future of connected autonomous electric vehicles and smart cities. The connectivity pillar covers the latest technologies on vehicle-to-everything (V2X) networking and vehicular cloud computing, focusing on their role towards vehicle autonomy and smart cities applications.
Автор: Xu Zhang Название: Cities for Driverless Vehicles ISBN: 0727764527 ISBN-13(EAN): 9780727764522 Издательство: Marston Book Services Рейтинг: Цена: 18612.00 р. Наличие на складе: Поставка под заказ.
Описание: Cities for Driverless Vehicles examines the relationship between autonomous vehicles, transport infrastructure requirements and urban forms, as well as explores ways to adopt autonomous vehicles into future cities.
Автор: Mallick, P K Название: Materials, Design And Manufacturing For Lightweight Vehicles ISBN: 0128187123 ISBN-13(EAN): 9780128187128 Издательство: Elsevier Science Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Materials, Design and Manufacturing for Lightweight Vehicles, Second Edition features the requirements for processing each material type, explains the manufacture of different categories of components, and analyzes different component joining techniques. The properties of all materials, metals, polymers and composites currently used are included along with how each one influences structural design. The new edition also contains refinements to manufacturing processes in particular hot stamping of boron steel and aluminum alloy, and new chapters on designing lightweight automotive structures & lightweight materials for powertrains and electric vehicles.
With its distinguished editor and renowned team of contributors, this is a standard reference for practicing engineers involved in the design and material selection for motor vehicle bodies and components as well as material scientists, environmental scientists, policy makers, car companies and automotive component manufacturers.
Автор: Das Shuvra Название: Modeling for Hybrid and Electric Vehicles Using Simscape ISBN: 1636391257 ISBN-13(EAN): 9781636391250 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 12751.00 р. Наличие на складе: Нет в наличии.
Описание:
Simscape, a Matlab/Simulink toolbox for modeling physical systems, is the ideal platform for developing and deploying models for hybrid and electric vehicle systems and sub-systems. This book is step-by-step guide through the process of developing precise and accurate models for all critical areas of hybrid and electric vehicles.
For electric and hybrid technology to deliver superior performance and efficiency, all sub-systems have to work seamlessly and in unison every time and all the time. To ensure this level of precision and reliability, modeling and simulation play crucial roles during the design and development cycle of electric and hybrid vehicles.
The majority of books currently on the market discuss relevant technologies and the physics and engineering of hybrid and electric vehicles. This book is unique by focusing on developing models of physical systems at the core of these vehicles using the tool of choice, Simscape. Relevant background and appropriate theory are referenced and summarized in the context of model development with significantly more emphasis on the model development procedure and obtaining usable and accurate results.
Автор: Yang Lung-Jieh, Esakki Balasubramanian Название: Flapping Wing Vehicles: Numerical and Experimental Approach ISBN: 036723257X ISBN-13(EAN): 9780367232573 Издательство: Taylor&Francis Рейтинг: Цена: 26796.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explains theoretical and experimental analysis on the design, development and flying of the flapping wing vehicle. It discusses design and kinematic analysis of various flapping wing mechanisms, measurement of flap angle/flapping frequency, computational fluid dynamic analysis of motion characteristics including manufacturing techniques.
Автор: Johannes Unger; Marcus Quasthoff; Stefan Jakubek Название: Energy Efficient Non-Road Hybrid Electric Vehicles ISBN: 3319297953 ISBN-13(EAN): 9783319297958 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Simona Onori; Lorenzo Serrao; Giorgio Rizzoni Название: Hybrid Electric Vehicles ISBN: 1447167791 ISBN-13(EAN): 9781447167792 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
Описание: 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.
Название: Electric and Hybrid Vehicles ISBN: 1118341511 ISBN-13(EAN): 9781118341513 Издательство: Wiley Рейтинг: Цена: 16941.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An advanced level introductory book covering fundamentalaspects, design and dynamics of electric and hybrid electricvehicles There is significant demand for an understanding of thefundamentals, technologies, and design of electric and hybridelectric vehicles and their components from researchers, engineers,and graduate students.
Автор: Thandavarayan Maiyalagan; Perumal Elumalai Название: Rechargeable Lithium Batteries ISBN: 1138484091 ISBN-13(EAN): 9781138484092 Издательство: Taylor&Francis Рейтинг: Цена: 33686.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book contains ten chapters, each focusing on a specific topic pertaining to the application of lithium-ion batteries in Electric Vehicles. Basic principles, electrode materials, electrolytes, high voltage cathodes, recycling spent Li-ion batteries and battery charge controller are addressed.
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.
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