Control and Design Optimization for Hybrid Electric Vehicle with Flywheel as a Third Energy Storage System PDF Download

Author: Jifei Yan
Publisher:
ISBN: 9781369343403
Category :
Languages : en
Pages :

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Book Description
Hybrid Electric Vehicles (HEV) equipped with Internal Combustion Engine (ICE) and Electric Machine (EM) have been proven to be very effective at increasing fuel economy and reducing pollution and greenhouse gases. A third energy source is introduced into a Dual Energy Source HEV powertrain. This third energy source is designed to serve as a Short-term Energy Storage System (SESS). The motivation of this research is to study the design and control of Tri-Energy Source Hybrid (TESH) Powertrain for fuel consumption reduction purposes. Backward facing models of the TESH vehicle are created in a Matlab/Simulink environment for simulation. Three different control strategies are developed and implemented in the simulations. The Dynamic Programming (DP) control strategy is implemented for the chosen vehicle in simulation to find the global optimal of the fuel consumption for certain drive cycles. Since the DP controls strategy requires the information of the drive cycle before simulations, it cannot be implemented in real-time. A rule-based control strategy is developed and implemented in the simulation to find the real-time outcome of fuel consumption for the same vehicle and drive cycles in the baseline cases generated by DP. Although the rule-based control strategy is straight forward and can be intuitively understood, it does not guarantee optimal fuel consumption. Hence, a third control strategy, i.e. Equivalent Consumption Minimization strategy (ECM), is derived from the Pontryagin’s Minimum Principle and implemented in simulations. With proper tuning of the control parameters, the ECM can generate results very close to the global optimal results found in the DP Simulation in real-time.

Author: Armin Buchroithner
Publisher: Springer Nature
ISBN: 3658353422
Category : Technology & Engineering
Languages : en
Pages : 320

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Storing energy is one of the most important challenges of our time. Energy storage systems are not only essential for switching to renewable energy sources, but also for all mobile applications. Electro-mechanical flywheel energy storage systems (FESS) can be used in hybrid vehicles as an alternative to chemical batteries or capacitors and have enormous development potential. In the first part of the book, the Supersystem Analysis, FESS is placed in a global context using a holistic approach. External influences such as the vehicle, driver and operating strategy, including socio-psychological aspects, are analyzed with regard to their interaction with the memory. From this, optimal application scenarios are derived and the development goals relevant for market success are defined. In the second part, the consideration of the subsystem, those critical components in the FESS are identified which are responsible for the achievement of the technical target properties. From the point of view of maximum cost reduction, specific solutions for the design of the key components are presented and their suitability is validated through empirical studies on the housing, bearing and rotor as well as through overall prototypes.This book is a translation of the original German 1st edition Schwungradspeicher in der Fahrzeugtechnik by Armin Buchroithner published by Springer Fachmedien Wiesbaden GmbH, part of Springer Nature in 2019.

Author: Ulises Diego-Ayala
Publisher: bramona
ISBN:
Category :
Languages : en
Pages : 240

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Author: Jili Tao
Publisher: Elsevier
ISBN: 0443131902
Category : Science
Languages : en
Pages : 348

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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

Author: Amir Taghavipour
Publisher: Springer
ISBN: 3030003140
Category : Technology & Engineering
Languages : en
Pages : 202

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Book Description
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.

Author: Wei Liu
Publisher: John Wiley & Sons
ISBN: 1118407393
Category : Transportation
Languages : en
Pages : 428

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Book Description
This is an engineering reference book on hybrid vehicle system analysis and design, an outgrowth of the author's substantial work in research, development and production at the National Research Council Canada, Azure Dynamics and now General Motors. It is an irreplaceable tool for helping engineers develop algorithms and gain a thorough understanding of hybrid vehicle systems. This book covers all the major aspects of hybrid vehicle modeling, control, simulation, performance analysis and preliminary design. It not only systemically provides the basic knowledge of hybrid vehicle system configuration and main components, but also details their characteristics and mathematic models. Provides valuable technical expertise necessary for building hybrid vehicle system and analyzing performance via drivability, fuel economy and emissions Built from the author's industry experience at major vehicle companies including General Motors and Azure Dynamics Inc. Offers algorithm implementations and figures/examples extracted from actual practice systems Suitable for a training course on hybrid vehicle system development with supplemental materials An essential resource enabling hybrid development and design engineers to understand the hybrid vehicle systems necessary for control algorithm design and developments.

Author: Mehrdad Ehsani
Publisher: CRC Press
ISBN: 0429998236
Category : Technology & Engineering
Languages : en
Pages : 758

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Book Description
"This book is an introduction to automotive technology, with specic reference to battery electric, hybrid electric, and fuel cell electric vehicles. It could serve electrical engineers who need to know more about automobiles or automotive engineers who need to know about electrical propulsion systems. For example, this reviewer, who is a specialist in electric machinery, could use this book to better understand the automobiles for which the reviewer is designing electric drive motors. An automotive engineer, on the other hand, might use it to better understand the nature of motors and electric storage systems for application in automobiles, trucks or motorcycles. The early chapters of the book are accessible to technically literate people who need to know something about cars. While the rst chapter is historical in nature, the second chapter is a good introduction to automobiles, including dynamics of propulsion and braking. The third chapter discusses, in some detail, spark ignition and compression ignition (Diesel) engines. The fourth chapter discusses the nature of transmission systems.” —James Kirtley, Massachusetts Institute of Technology, USA “The third edition covers extensive topics in modern electric, hybrid electric, and fuel cell vehicles, in which the profound knowledge, mathematical modeling, simulations, and control are clearly presented. Featured with design of various vehicle drivetrains, as well as a multi-objective optimization software, it is an estimable work to meet the needs of automotive industry.” —Haiyan Henry Zhang, Purdue University, USA “The extensive combined experience of the authors have produced an extensive volume covering a broad range but detailed topics on the principles, design and architectures of Modern Electric, Hybrid Electric, and Fuel Cell Vehicles in a well-structured, clear and concise manner. The volume offers a complete overview of technologies, their selection, integration & control, as well as an interesting Technical Overview of the Toyota Prius. The technical chapters are complemented with example problems and user guides to assist the reader in practical calculations through the use of common scientic computing packages. It will be of interest mainly to research postgraduates working in this eld as well as established academic researchers, industrial R&D engineers and allied professionals.” —Christopher Donaghy-Sparg, Durham University, United Kingdom The book deals with the fundamentals, theoretical bases, and design methodologies of conventional internal combustion engine (ICE) vehicles, electric vehicles (EVs), hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs). The design methodology is described in mathematical terms, step-by-step, and the topics are approached from the overall drive train system, not just individual components. Furthermore, in explaining the design methodology of each drive train, design examples are presented with simulation results. All the chapters have been updated, and two new chapters on Mild Hybrids and Optimal Sizing and Dimensioning and Control are also included • Chapters updated throughout the text. • New homework problems, solutions, and examples. • Includes two new chapters. • Features accompanying MATLABTM software.

Author: Wei Liu
Publisher: John Wiley & Sons
ISBN: 1119279321
Category : Technology & Engineering
Languages : en
Pages : 584

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This new edition includes approximately 30% new materials covering the following information that has been added to this important work: extends the contents on Li-ion batteries detailing the positive and negative electrodes and characteristics and other components including binder, electrolyte, separator and foils, and the structure of Li-ion battery cell. Nickel-cadmium batteries are deleted. adds a new section presenting the modelling of multi-mode electrically variable transmission, which gradually became the main structure of the hybrid power-train during the last 5 years. newly added chapter on noise and vibration of hybrid vehicles introduces the basics of vibration and noise issues associated with power-train, driveline and vehicle vibrations, and addresses control solutions to reduce the noise and vibration levels. Chapter 10 (chapter 9 of the first edition) is extended by presenting EPA and UN newly required test drive schedules and test procedures for hybrid electric mileage calculation for window sticker considerations. In addition to the above major changes in this second edition, adaptive charging sustaining point determination method is presented to have a plug-in hybrid electric vehicle with optimum performance.

Author: Iqbal Husain
Publisher: CRC Press
ISBN: 1439811784
Category : Technology & Engineering
Languages : en
Pages : 510

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Book Description
Thoroughly updated to encompass the significant technological advances since the publication of the first edition, Electric and Hybrid Vehicles: Design Fundamentals, Second Edition presents the design fundamentals, component sizing, and systems interactions of alternative vehicles. This new edition of a widely praised, bestselling textbook maintains the comprehensive, systems-level perspective of electric and hybrid vehicles while covering the hybrid architectures and components of the vehicle in much greater detail. The author emphasizes technical details, mathematical relationships, and design guidelines throughout the text. New to the Second Edition New chapters on sizing and design guidelines for various hybrid architectures, control strategies for hybrid vehicles, powertrain component cooling systems, and in-vehicle communication methods New sections on modeling of energy storage components, tire-road force mechanics, compressed air-storage, DC/DC converters, emission control systems, electromechanical brakes, and vehicle fuel economy Reorganization of power electronics, electric machines, and motor drives sections Enhanced sections on mechanical components that now include more technical descriptions and example problems An emphasis on the integration of mechanical and electrical components, taking into account the interdisciplinary nature of automotive engineering As an advisor to the University of Akron’s team in the Challenge X: Crossover to Sustainable Mobility, Dr. Husain knows first-hand how to teach students both the fundamentals and cutting-edge technologies of the next generation of automotives. This text shows students how electrical and mechanical engineers must work together to complete an alternative vehicle system. It empowers them to carry on state-of-the-art research and development in automotive engineering in order to meet today’s needs of clean, efficient, and sustainable vehicles.

Author:
Publisher:
ISBN:
Category : Fuel
Languages : en
Pages : 356

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