Download or read book Modelling and design optimization of low speed fuel cell hybrid electric vehicles written by Matthew Blair Guenther and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling Control and Design Optimization of a Fuel Cell Hybrid Vehicle written by Minjoong Kim and published by . This book was released on 2007 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Electric Vehicle Design written by Krishan Arora and published by John Wiley & Sons. This book was released on 2024-04-18 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: ELECTRIC VEHICLE DESIGN This book will serve as a definitive guide to conceptual and practical knowledge about the design of hybrid electrical vehicles (HEV), battery electrical vehicles (BEV), fuel cell electrical vehicles (FCEV), plug-in hybrid electrical vehicles (PHEV), and efficient EV charging techniques with advanced tools and methodologies for students, engineers, and academics alike. This book deals with novel concepts related to fundamentals, design, and applications of conventional automobiles with internal combustion engines (ICEs), electric vehicles (EVs), hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs). It broadly covers vehicle performance, configuration, control strategy, design methodology, modeling, and simulation for different conventional and hybrid vehicles based on mathematical equations. Fundamental and practical examples of conventional electrical machines, advanced electrical machines, battery energy sources, on-board charging and off-board charging techniques, and optimization methods are presented here. This book can be useful for students, researchers, and practitioners interested in different problems and challenges associated with electric vehicles. Furthermore, in explaining the design methodology of each drive train, design examples are presented with simulation results.

Download or read book Modern Electric Hybrid Electric and Fuel Cell Vehicles written by Mehrdad Ehsani and published by CRC Press. This book was released on 2018-02-02 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.

Download or read book Simulation and Optimization of a Fuel Cell Hybrid Vehicle written by Darren Brown and published by ProQuest. This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this research is to improve the design of a fuel cell battery hybrid vehicle through the use of an advanced vehicle powertrain simulator. The first part of this project involves the development of the simulation package from an existing MATLAB/Simulink based model. This model is modified and improved to more accurately simulate the real-world vehicle and also to allow for various parametric studies to be performed. The resulting simulation package is called Light, Fast, and Modifiable or LFM. Three different parametric studies are performed using the LFM simulation platform. The first involves vehicle design parameters. This experiment studies the effect of various vehicle parameters such as tire rolling resistance, vehicle mass, drag coefficient on vehicle performance. The second study involves hybrid control strategy parameters. The hybrid control strategy controls the flow of power between each of the power sources and is vital to proper vehicle performance. This experiment studies the effect of various scaling factors in the hybrid control strategy. The third parametric study involves the input drive cycle. A drive cycle is a speed vs. time data set that effectively "drives" the simulation. This experiment studies how different statistical quantities that describe a drive cycle (such as average speed, average acceleration, etc.) affect vehicle performance. Also using the LFM vehicle simulator, a new hybrid control strategy, called Drive Cycle Recognition (DCR), is developed and investigated. DCR involves classification of the current vehicle drive cycle (speed vs. time history) based on certain representative drive cycles. The identification is performed using the key statistical information explored in the drive cycle parametric study. It is shown that DCR can be used in a simulated environment to significantly improve upon the current strategy by addressing faults in the most sensitive parameters. Furthermore, a real world implementation of DCR on the University of Delaware Fuel Cell Bus shows that the current fuel cell configuration is undersized for the effective use of DCR. Finally, the LFM simulator is used to perform a Degree-of-Hybridization (DOH) analysis. This analysis involves experimenting with different balances between the power sources available in a hybrid vehicle. It is shown that an optimum balance exists for each driving style, but a significant compromise is needed to cover all driving styles the vehicle is likely to encounter.

Download or read book Hybrid Electric Vehicles written by Chris Mi and published by John Wiley & Sons. This book was released on 2017-09-11 with total page 771 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest developments in the field of hybrid electric vehicles Hybrid Electric Vehicles provides an introduction to hybrid vehicles, which include purely electric, hybrid electric, hybrid hydraulic, fuel cell vehicles, plug-in hybrid electric, and off-road hybrid vehicular systems. It focuses on the power and propulsion systems for these vehicles, including issues related to power and energy management. Other topics covered include hybrid vs. pure electric, HEV system architecture (including plug-in & charging control and hydraulic), off-road and other industrial utility vehicles, safety and EMC, storage technologies, vehicular power and energy management, diagnostics and prognostics, and electromechanical vibration issues. Hybrid Electric Vehicles, Second Edition is a comprehensively updated new edition with four new chapters covering recent advances in hybrid vehicle technology. New areas covered include battery modelling, charger design, and wireless charging. Substantial details have also been included on the architecture of hybrid excavators in the chapter related to special hybrid vehicles. Also included is a chapter providing an overview of hybrid vehicle technology, which offers a perspective on the current debate on sustainability and the environmental impact of hybrid and electric vehicle technology. Completely updated with new chapters Covers recent developments, breakthroughs, and technologies, including new drive topologies Explains HEV fundamentals and applications Offers a holistic perspective on vehicle electrification Hybrid Electric Vehicles: Principles and Applications with Practical Perspectives, Second Edition is a great resource for researchers and practitioners in the automotive industry, as well as for graduate students in automotive engineering.

Download or read book Modeling and Design Optimization of Plug In Hybrid Electric Vehicle Powertrains written by Maryyeh Chehresaz and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid electric vehicles (HEVs) were introduced in response to rising environmental challenges facing the automotive sector. HEVs combine the benefits of electric vehicles and conventional internal combustion engine vehicles, integrating an electrical system (a battery and an electric motor) with an engine to provide improved fuel economy and reduced emissions, while maintaining adequate driving range. By comparison with conventional HEVs, plug-in hybrid electric vehicles (PHEVs) have larger battery storage systems and can be fully charged via an external electric power source such as the electrical grid. Of the three primary PHEV architectures, power-split architectures tend to provide greater efficiencies than parallel or series systems; however, they also demonstrate more complicated dynamics. Thus, in this research project, the problem of optimizing the component sizes of a power-split PHEV was addressed in an effort to exploit the flexibility of this powertrain system and further improve the vehicle's fuel economy, using a Toyota plug-in Prius as the baseline vehicle. Autonomie software was used to develop a vehicle model, which was then applied to formulate an optimization problem for which the main objective is to minimize fuel consumption over standard driving cycles. The design variables considered were: the engine's maximum power, the number of battery cells and the electric motor's maximum power. The genetic algorithm approach was employed to solve the optimization problem for various drive cycles and an acceptable reduction in fuel consumption was achieved thorough the sizing process. The model was validated against a MapleSim model. This research project successfully delivered a framework that integrates an Autonomie PHEV model and genetic algorithm optimization and can be used to address any HEV parameter optimization problem, with any objective, constraints, design variables and optimization parameters.

Download or read book Impacting Commercialization of Rapid Hydrogen Fuel Cell Electric Vehicles FCEV written by David Wood and published by SAE International. This book was released on 2016-02-19 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alternative propulsion technologies are becoming increasingly important with the rise of stricter regulations for vehicle efficiency, emission regulations, and concerns over the sustainability of crude oil supplies. The fuel cell is a critical component of alternative propulsion systems, and as such has many aspects to consider in its design. Fuel cell electric vehicles (FCEVs) powered by proton-exchange membrane fuel cells (PEFC) and fueled by hydrogen, offer the promise of zero emissions with excellent driving range of 300-400 miles, and fast refueling times; two major advantages over battery electric vehicles (BEVs). FCEVs face several remaining major challenges in order to achieve widespread and rapid commercialization. Many of the challenges, especially those from an FCEV system and subsystem cost and performance perspective are addressed in this book. Chapter topics include: • impact of FCEV commercialization • ways to address barriers to the market introduction of alternative vehicles • new hydrogen infrastructure cost comparisons • onboard chemical hydride storage • optimization of a fuel cell hybrid vehicle powertrain design

Download or read book Modern Electric Hybrid Electric and Fuel Cell Vehicles written by Mehrdad Ehsani and published by CRC Press. This book was released on 2017-12-19 with total page 557 pages. Available in PDF, EPUB and Kindle. Book excerpt: Air pollution, global warming, and the steady decrease in petroleum resources continue to stimulate interest in the development of safe, clean, and highly efficient transportation. Building on the foundation of the bestselling first edition, Modern Electric, Hybrid Electric, and Fuel Cell Vehicles: Fundamentals, Theory, and Design, Second Edition updates and expands its detailed coverage of the vehicle technologies that offer the most promising solutions to these issues affecting the automotive industry. Proven as a useful in-depth resource and comprehensive reference for modern automotive systems engineers, students, and researchers, this book speaks from the perspective of the overall drive train system and not just its individual components. New to the second edition: A case study appendix that breaks down the Toyota Prius hybrid system Corrections and updates of the material in the first edition Three new chapters on drive train design methodology and control principles A completely rewritten chapter on Fundamentals of Regenerative Braking Employing sufficient mathematical rigor, the authors comprehensively cover vehicle performance characteristics, EV and HEV configurations, control strategies, modeling, and simulations for modern vehicles. They also cover topics including: Drive train architecture analysis and design methodologies Internal Combustion Engine (ICE)-based drive trains Electric propulsion systems Energy storage systems Regenerative braking Fuel cell applications in vehicles Hybrid-electric drive train design The first edition of this book gave practicing engineers and students a systematic reference to fully understand the essentials of this new technology. This edition introduces newer topics and offers deeper treatments than those included in the first. Revised many times over many years, it will greatly aid engineers, students, researchers, and other professionals who are working in automotive-related industries, as well as those in government and academia.

Download or read book Modern Electric Hybrid Electric and Fuel Cell Vehicles written by Mehrdad Ehsani and published by CRC Press. This book was released on 2004-12-20 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Air quality is deteriorating, the globe is warming, and petroleum resources are decreasing. The most promising solutions for the future involve the development of effective and efficient drive train technologies. This comprehensive volume meets this challenge and opportunity by integrating the wealth of disparate information found in scattered pape

Download or read book Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management written by Jili Tao and published by Elsevier. This book was released on 2024-06-07 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Intelligent Control of Connected Plug in Hybrid Electric Vehicles written by Amir Taghavipour and published by Springer. This book was released on 2018-09-26 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Design Optimization of the Electrically Peaking Hybrid ELPH Vehicle written by M. Ehsani and published by . This book was released on 1998 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrically Peaking Hybrid (ELPH) is a parallel hybrid electric vehicle propulsion concept that was invented at Texas A & M University, by the advanced vehicle systems research group. Over the past six years, design methodologies, component development, and system optimization work has been going on for this invention. This project was a first attempt in integrating the above developments into an optimized design of an ELPH passenger car. Design specifications were chosen for a full size passenger car, performing as well as any conventional car, over the EPA-FTP-75 combined city/highway drive cycles. The results of this design project were two propulsion systems. Both were appropriate for commercial production, from the point of view of cost, availability of the technologies, and components. One utilized regenerative braking and the other did not. Substantial fuel savings and emissions reductions resulted from simulating these designs on the FTP-75 drive cycle. For example, our ELPH full size car, with regenerative braking, was capable of delivering over 50 miles per gallon in city driving, with corresponding reductions in its emissions. This project established the viability of the ELPH concept and the design methodologies, in computer simulations. More work remains to be done on investigating more advanced power plants, such as fuel cells, and more advanced components, such as switched reluctance motor drives, for the designs. Furthermore, the design optimization can be carried out to more detailed levels, for prototyping and production.

Download or read book Modeling Simulation and Optimization of Fuel Cell battery Hybrid Powertrains written by Piyush Bubna and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuel cells have emerged as one of the most promising candidates for fuel-efficient and emission-free vehicle power generation. Fuel cells are typically paired with reversible energy storage devices such as batteries or ultracapacitors to create hybrid electric powertrains. The electrification of the propulsion system and the presence of multiple onboard power sources require optimization of the hybrid system design in order to achieve good performance, high fuel economy, and enhanced component life at low cost. The overall goal of this research is to develop accurate vehicle models and conduct simulations to explore and demonstrate improvements in a fuel cell/battery hybrid bus. The first part of this thesis presents the features incorporated to improve a hybrid powertrain simulation package called Light, Fast and Modifiable (LFM). The improved LFM simulator was validated against test data acquired from various sensors onboard UD's Phase 1 fuel cell bus, and shown to be a reliable tool to simulate hybrid powertrain performance which could be used to perform design and optimization studies of future fuel cell hybrid systems. This attribute of LFM was then demonstrated by optimizing the fuel cell/battery hybrid power management by introducing a new prediction-based power management strategy. Simulation results for this strategy showed significant improvements in fuel cell system efficiency and reduction in hydrogen consumption compared to a conventional, baseline strategy of charge sustenance. A stable power request which promotes fuel cell durability was also realized with the help of this novel strategy. Finally, the benefits predicted from simulation studies were confirmed through implementation of the proposed strategy in the Phase 1 fuel cell/battery hybrid bus. It was concluded that the prediction-based strategy will lead to energy savings for transit applications. The validated LFM tool was next used to evaluate one approach to reducing battery stress by adding an ultracapacitor module, and thereby enhancing battery lifetime. Simulation of the energy storage performance showed a substantial reduction in battery current-load and energy throughput for the blended storage system, which are two of the contributing factors towards battery degradation. These results have opened up new research directions in which powertrain simulations can help in further evaluation of the blended storage concept and assess its feasibility and usefulness in electric-drive vehicles. Finally, the thermal behavior of the Altairnano LiTi battery, the future battery of UD fuel cell buses, was investigated. Preliminary experiments were conducted to understand the thermal behavior of batteries under typical operating conditions. A model was developed to predict the temperature during charging and discharging of the battery. The findings of this work should prove useful in designing effective and efficient battery thermal management systems.

Download or read book Control and Design Optimization for Hybrid Electric Vehicle with Flywheel as a Third Energy Storage System written by Jifei Yan and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Hybrid Electric Vehicle Design and Control Intelligent Omnidirectional Hybrids written by Yangsheng Xu and published by McGraw Hill Professional. This book was released on 2013-09-22 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build state-of-the-art intelligent omnidirectional HEVs Engineer high-performance, low-emission automobiles by overcoming traditional obstacles and efficiently harnessing energy from multiple sources. Hybrid Electric Vehicle Design and Control features complete coverage of all electrical, mechanical, and software components. Find out how to develop fast-charging battery systems, efficiently manage power, implement independent steering and force control, and enhance driving stability and controllability. This comprehensive guide offers detailed modeling, testing, and tuning techniques and provides an overview of emerging developments in hybrid technologies. Coverage includes: 4WIS and 4WID hardware and software Hybrid vehicle design structures Zero-radius turning and lateral parking Steer-by-wire and extended steering Behavior-based and zero-radius steering Traction force distribution and stability Battery, energy, and power management systems Cell equalization and fast-charging control MPC, load forecasting, and neural network classifi cation Best performance techniques

Download or read book Vehicle Power Management written by Xi Zhang and published by Springer Science & Business Media. This book was released on 2011-08-12 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vehicle Power Management addresses the challenge of improving vehicle fuel economy and reducing emissions without sacrificing vehicle performance, reliability and durability. It opens with the definition, objectives, and current research issues of vehicle power management, before moving on to a detailed introduction to the modeling of vehicle devices and components involved in the vehicle power management system, which has been proven to be the most cost-effective and efficient method for initial-phase vehicle research and design. Specific vehicle power management algorithms and strategies, including the analytical approach, optimal control, intelligent system approaches and wavelet technology, are derived and analyzed for realistic applications. Vehicle Power Management also gives a detailed description of several key technologies in the design phases of hybrid electric vehicles containing battery management systems, component optimization, hardware-in-the-loop and software-in-the-loop. Vehicle Power Management provides graduate and upper level undergraduate students, engineers, and researchers in both academia and the automotive industry, with a clear understanding of the concepts, methodologies, and prospects of vehicle power management.