Study Of Battery Health Conscious Powertrain Energy Management Strategies For Hybrid Electric Vehicles

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STUDY OF BATTERY HEALTH CONSCIOUS POWERTRAIN ENERGY MANAGEMENT STRATEGIES FOR HYBRID ELECTRIC VEHICLES

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (114 download)

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Book Synopsis STUDY OF BATTERY HEALTH CONSCIOUS POWERTRAIN ENERGY MANAGEMENT STRATEGIES FOR HYBRID ELECTRIC VEHICLES by :

Download or read book STUDY OF BATTERY HEALTH CONSCIOUS POWERTRAIN ENERGY MANAGEMENT STRATEGIES FOR HYBRID ELECTRIC VEHICLES written by and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract : The goal of this research is to study the battery aging pattern for the application of hybrid electric vehicles (HEV) and advanced control algorithm to improve the performance of HEV energy management controller by maximizing fuel efficiency and minimizing battery aging speed at the same time. To achieve the combined goals, the tasks of this research can be laid out as follows. The first part studies the HEV model provided by Autonomie software and the electrochemical battery model to be built and integrated with the whole vehicle model. The battery model integrated is an averaged single particle model with the battery thermal aging features added. The battery aging will be quantified as the increasing of SEI layer and decreasing of battery capacity. The battery model was able to simulate the aging performance under different temperature, charge current, SOC and other operational conditions. The simulation results of the vehicle following certain driving cycles and the simulation results of battery voltage output are presented. The second part investigates the feasibility of the entire system to be running in a real-time hardware-in-the-loop system. The vehicle model together with the electrochemical battery model is built and loaded to the dSPACE simulator. The hybrid controller model is built and loaded to the dSPACE MicroAutoBox. The hybrid controller and dSPACE simulator communicate in real-time with vehicle components information coming from plant model and the control signals coming from the MicroAutoBox. The vehicle model together with the battery model is able to be running in Simulator with the battery model simulated correctly and providing battery aging features in real-time. The third part of the research looks into the application of nonlinear model predictive control (NMPC) in the hybrid controller. To meet the goal of minimizing fuel consumption and battery aging speed, the nonlinear model predictive control without concern of battery aging is first studied. The predictive model is built to predict the dynamic performance of battery pack, the E-motors, the engine and the vehicle powertrain key part - planetary gear set. A cost function is built to provide the best control performance for our case. The performance of the NMPC is compared with the rule-based controller. And the performance of NMPC with different weighting factors is compared and analyzed. Following the previous part, the NMPC with the concern of battery aging is also studied and simulated using the vehicle and battery model built and integrated into the first part. By changing the cost function of the NMPC, the battery aging performance is greatly improved compared with that of the previous part. The studied NMPC is able to maintain the fuel economy at similar or even better level compared with the NMPC without battery aging concern. The last part of the research studies the modeling of a single shaft parallel hybrid electric vehicle built from the dSPACE Automotive Simulation Model (ASM) and the AutoLion-ST battery simulation software. Both commercial software packages provide solid physics-based modeling of HEV components such as E-motor, the lithium-ion battery pack, the engine etc., the entire vehicle model is built using these individual models to study the battery performance under different environmental and operational conditions.

Health Conscious Energy Management Strategies for Fuel Cell/battery Hybrid Vehicles

Author : Yongqiang Wang
Publisher :
ISBN 13 :
Total Pages : 162 pages
Book Rating : 4.5/5 (825 download)

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Book Synopsis Health Conscious Energy Management Strategies for Fuel Cell/battery Hybrid Vehicles by : Yongqiang Wang

Download or read book Health Conscious Energy Management Strategies for Fuel Cell/battery Hybrid Vehicles written by Yongqiang Wang and published by . This book was released on 2021 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: There have been many efforts to combat climate change to provide a sustainable future. Fuel cell vehicles can reduce emissions for the transportation sector as their only by-product is water. One major barrier towards commercialization is the cost of fuel cell stacks. Extending the operating life of fuel cells can lower their overall cost. Thus it is important to study the effects of degradation when designing fuel cell/battery hybrid vehicles. We have collected test data from the University of Delaware's latest fuel cell bus by implementing two-way on-board communication systems. A vehicle model was built in MATLAB based on the collected data. Various options including health conscious energy management strategies(offline and real-time) and system sizing were explored in this study to reduce the degradation of fuel cell stacks and batteries to improve their lifetime.

Energy Management Strategies for Electric and Plug-in Hybrid Electric Vehicles

Author : Sheldon S. Williamson
Publisher : Springer Science & Business Media
ISBN 13 : 1461477115
Total Pages : 263 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Energy Management Strategies for Electric and Plug-in Hybrid Electric Vehicles by : Sheldon S. Williamson

Download or read book Energy Management Strategies for Electric and Plug-in Hybrid Electric Vehicles written by Sheldon S. Williamson and published by Springer Science & Business Media. This book was released on 2013-10-24 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the practical issues for commercialization of current and future electric and plug-in hybrid electric vehicles (EVs/PHEVs). The volume focuses on power electronics and motor drives based solutions for both current as well as future EV/PHEV technologies. Propulsion system requirements and motor sizing for EVs is also discussed, along with practical system sizing examples. PHEV power system architectures are discussed in detail. Key EV battery technologies are explained as well as corresponding battery management issues are summarized. Advanced power electronic converter topologies for current and future charging infrastructures will also be discussed in detail. EV/PHEV interface with renewable energy is discussed in detail, with practical examples.

Hybrid Electric Vehicles

Author : Simona Onori
Publisher : Springer
ISBN 13 : 1447167813
Total Pages : 121 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Hybrid Electric Vehicles by : Simona Onori

Download or read book Hybrid Electric Vehicles written by Simona Onori and published by Springer. This book was released on 2015-12-16 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Author : Teng Liu
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681736195
Total Pages : 99 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles by : Teng Liu

Download or read book Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles written by Teng Liu and published by Morgan & Claypool Publishers. This book was released on 2019-09-03 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Battery Management Technologies for Electric Vehicles

Author : Rui Xiong
Publisher : John Wiley & Sons
ISBN 13 : 1119481643
Total Pages : 292 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Advanced Battery Management Technologies for Electric Vehicles by : Rui Xiong

Download or read book Advanced Battery Management Technologies for Electric Vehicles written by Rui Xiong and published by John Wiley & Sons. This book was released on 2019-02-26 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive examination of advanced battery management technologies and practices in modern electric vehicles Policies surrounding energy sustainability and environmental impact have become of increasing interest to governments, industries, and the general public worldwide. Policies embracing strategies that reduce fossil fuel dependency and greenhouse gas emissions have driven the widespread adoption of electric vehicles (EVs), including hybrid electric vehicles (HEVs), pure electric vehicles (PEVs) and plug-in electric vehicles (PHEVs). Battery management systems (BMSs) are crucial components of such vehicles, protecting a battery system from operating outside its Safe Operating Area (SOA), monitoring its working conditions, calculating and reporting its states, and charging and balancing the battery system. Advanced Battery Management Technologies for Electric Vehicles is a compilation of contemporary model-based state estimation methods and battery charging and balancing techniques, providing readers with practical knowledge of both fundamental concepts and practical applications. This timely and highly-relevant text covers essential areas such as battery modeling and battery state of charge, energy, health and power estimation methods. Clear and accurate background information, relevant case studies, chapter summaries, and reference citations help readers to fully comprehend each topic in a practical context. Offers up-to-date coverage of modern battery management technology and practice Provides case studies of real-world engineering applications Guides readers from electric vehicle fundamentals to advanced battery management topics Includes chapter introductions and summaries, case studies, and color charts, graphs, and illustrations Suitable for advanced undergraduate and graduate coursework, Advanced Battery Management Technologies for Electric Vehicles is equally valuable as a reference for professional researchers and engineers.

Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles

Author : Li Yeuching
Publisher : Springer Nature
ISBN 13 : 3031792068
Total Pages : 123 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles by : Li Yeuching

Download or read book Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles written by Li Yeuching and published by Springer Nature. This book was released on 2022-06-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: The urgent need for vehicle electrification and improvement in fuel efficiency has gained increasing attention worldwide. Regarding this concern, the solution of hybrid vehicle systems has proven its value from academic research and industry applications, where energy management plays a key role in taking full advantage of hybrid electric vehicles (HEVs). There are many well-established energy management approaches, ranging from rules-based strategies to optimization-based methods, that can provide diverse options to achieve higher fuel economy performance. However, the research scope for energy management is still expanding with the development of intelligent transportation systems and the improvement in onboard sensing and computing resources. Owing to the boom in machine learning, especially deep learning and deep reinforcement learning (DRL), research on learning-based energy management strategies (EMSs) is gradually gaining more momentum. They have shown great promise in not only being capable of dealing with big data, but also in generalizing previously learned rules to new scenarios without complex manually tunning. 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. The strengths and limitations of typical DRL-based EMSs are identified according to the types of state space and action space in energy management. Accordingly, value-based, policy gradient-based, and hybrid action space-oriented energy management methods via DRL are discussed, respectively. Finally, a general online integration scheme for DRL-based EMS is described to bridge the gap between strategy learning in the simulator and strategy deployment on the vehicle controller.

Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life

Author : Li Tang
Publisher :
ISBN 13 :
Total Pages : 213 pages
Book Rating : 4.:/5 (999 download)

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Book Synopsis Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life by : Li Tang

Download or read book Optimal Energy Management Strategy for Hybrid Electric Vehicles with Consideration of Battery Life written by Li Tang and published by . This book was released on 2017 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: The dissertation offers a systematic analysis on the interdependency between fuel economy and battery capacity degradation in hybrid electric vehicles. Optimal control approaches including Dynamic Programming and Pontryagin's Minimum Principle are used to develop energy management strategies, which are able to optimally tradeoff fuel consumption and battery aging. Based on the optimal solutions, a real-time implementable battery-aging-conscious Adaptive Equivalent Consumption Management Strategy is proposed, which is able to achieve performance that is comparable to optimal results. In addition, an optimal control based charging strategy for plug-in hybrid electric vehicles and battery electric vehicles is developed, which minimizes battery capacity degradation incurred during charging by optimizing the charging current profile. Combining a generic control-oriented vehicle cabin thermal model with the battery aging model, the benefit of this strategy in terms of decreasing battery aging is significant, when compared with the existing strategies, such as the widely accepted constant current constant voltage (CC-CV) protocol. Thus this dissertation presents a complete set of optimal control solutions related to xEVs with consideration of battery aging.

Advances in Battery Technologies for Electric Vehicles

Author : Bruno Scrosati
Publisher : Woodhead Publishing
ISBN 13 : 1782423982
Total Pages : 547 pages
Book Rating : 4.7/5 (824 download)

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Book Synopsis Advances in Battery Technologies for Electric Vehicles by : Bruno Scrosati

Download or read book Advances in Battery Technologies for Electric Vehicles written by Bruno Scrosati and published by Woodhead Publishing. This book was released on 2015-05-25 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Battery Technologies for Electric Vehicles provides an in-depth look into the research being conducted on the development of more efficient batteries capable of long distance travel. The text contains an introductory section on the market for battery and hybrid electric vehicles, then thoroughly presents the latest on lithium-ion battery technology. Readers will find sections on battery pack design and management, a discussion of the infrastructure required for the creation of a battery powered transport network, and coverage of the issues involved with end-of-life management for these types of batteries. Provides an in-depth look into new research on the development of more efficient, long distance travel batteries Contains an introductory section on the market for battery and hybrid electric vehicles Discusses battery pack design and management and the issues involved with end-of-life management for these types of batteries

Vehicle Power Management

Author : Xi Zhang
Publisher : Springer Science & Business Media
ISBN 13 : 0857297368
Total Pages : 353 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Vehicle Power Management by : Xi Zhang

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.

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management

Author : Jili Tao
Publisher : Elsevier
ISBN 13 : 0443131902
Total Pages : 348 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management by : Jili Tao

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

Hybrid Electric Vehicles

Author : Chris Mi
Publisher : John Wiley & Sons
ISBN 13 : 1119970113
Total Pages : 449 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Hybrid Electric Vehicles by : Chris Mi

Download or read book Hybrid Electric Vehicles written by Chris Mi and published by John Wiley & Sons. This book was released on 2011-05-23 with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Hybrid Electric Vehicles provides vital guidance to help a new generation of engineers master the principles of and further advance hybrid vehicle technology. The authors address purely electric, hybrid electric, plug-in hybrid electric, hybrid hydraulic, fuel cell, and off-road hybrid vehicle systems. They focus on the power and propulsion systems for these vehicles, including issues related to power and energy management. They concentrate on material that is not readily available in other hybrid electric vehicle (HEV) books such as design examples for hybrid vehicles, and cover new developments in the field including electronic CVT, plug-in hybrid, and new power converters and controls. Covers hybrid vs. pure electric, HEV system architecture (including plug-in and hydraulic), off-road and other industrial utility vehicles, non-ground-vehicle applications like ships, locomotives, aircrafts, system reliability, EMC, storage technologies, vehicular power and energy management, diagnostics and prognostics, and electromechanical vibration issues. Contains core fundamentals and principles of modern hybrid vehicles at component level and system level. Provides graduate students and field engineers with a text suitable for classroom teaching or self-study.

System Design and Energy Management Strategy for Hybrid Electric Vehicles

Author : 黃毓琛
Publisher : Open Dissertation Press
ISBN 13 : 9781361470015
Total Pages : pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis System Design and Energy Management Strategy for Hybrid Electric Vehicles by : 黃毓琛

Download or read book System Design and Energy Management Strategy for Hybrid Electric Vehicles written by 黃毓琛 and published by Open Dissertation Press. This book was released on 2017-01-27 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "System Design and Energy Management Strategy for Hybrid Electric Vehicles" by 黃毓琛, Yuk-sum, Wong, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Abstract of thesis entitled "System Design And Energy Management Strategy For Hybrid Electric Vehicles" Submitted by WONG, Yuk Sum for the degree of Doctor of Philosophy at The University of Hong Kong in January 2008 The hybrid electric vehicle (HEV) system has a complex architecture that contains multidisciplinary technologies. Since HEV performances can be affected by many multidisciplinary interrelated factors, design optimisation should be carried out in system level in which there are many tradeoffs among various subsystem criteria. This project, firstly, aims to develop a HEV simulator to evaluate HEV performances. Secondly, it aims to review all prominent HEV architectures and propose the most efficient energy management system for different types of HEVs. Thirdly, a new optimisation scheme is proposed to determine the parameters of the powertrain in a HEV. Different interactions among HEV subsystems are analysed to develop a HEV performance simulator. This simulator not only evaluates vehicle performances, but also optimises the powertrain parameters for HEVs. This simulator samples the continuous behaviour of a vehicle as a series of discrete steps. Efficiency tables are used to relate the power and torque transmission between the components at each time step. I All the HEV architectures, namely series hybrid, parallel hybrid, series- parallel hybrid, plug-in series hybrid and plug-in series parallel hybrid, are reviewed. In all these HEV architectures, acceleration performance and fuel economy depend heavily on the power ratings of the electric motors and the batteries, while the driving range depends heavily on power ratings of the internal combustion engines (ICEs) and the capacity of the gas tanks. Therefore, the energy management systems between the electrical powertrain and the ICE powertrain should be optimized in system level. System level optimisations are performed by the simulator. The sensitivities of battery masses and ICE power capacities to vehicular performances are analysed. Based on the simulation results, powertrain design topology is identified. In addition, an optimisation scheme is proposed for determining the optimal gas tank capacity and motor power by considering the targeted driving range and acceleration performance in a limited batteries and ICE power. II DOI: 10.5353/th_b3955885 Subjects: Hybrid electric vehicles Electric vehicles - Performance Electric vehicles - Energy consumption Automobiles - Fuel systems - Design

Battery Management Systems of Electric and Hybrid Electric Vehicles

Author : Nicolae Tudoroiu
Publisher : MDPI
ISBN 13 : 3036510605
Total Pages : 146 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Battery Management Systems of Electric and Hybrid Electric Vehicles by : Nicolae Tudoroiu

Download or read book Battery Management Systems of Electric and Hybrid Electric Vehicles written by Nicolae Tudoroiu and published by MDPI. This book was released on 2021-08-30 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: The topics of interest in this book include significant challenges in the BMS design of EV/HEV. The equivalent models developed for several types of integrated Li-ion batteries consider the environmental temperature and ageing effects. Different current profiles for testing the robustness of the Kalman filter type estimators of the battery state of charge are used in this book. Additionally, the BMS can integrate a real-time model-based sensor Fault Detection and Isolation (FDI) scheme for a Li-ion cell undergoing degradation, which uses the recursive least squares (RLS) method to estimate the equivalent circuit model (ECM) parameters. This book will fully meet the demands of a large community of readers and specialists working in the field due to its attractiveness and scientific content with a great openness to the side of practical applicability. This covers various interesting aspects, especially related to the characterization of commercial batteries, diagnosis and optimization of their performance, experimental testing and statistical analysis, thermal modelling, and implementation of the most suitable Kalman filter type estimators of high accuracy to estimate the state of charge

Hybrid Vehicles

Author : BADIN François
Publisher : Editions TECHNIP
ISBN 13 : 271080994X
Total Pages : 526 pages
Book Rating : 4.7/5 (18 download)

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Book Synopsis Hybrid Vehicles by : BADIN François

Download or read book Hybrid Vehicles written by BADIN François and published by Editions TECHNIP. This book was released on 2013-07-04 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fast growth in world population and the associated energy requirements, the announced depletion of fossil fuel resources, the continuing rise in greenhouse gas (GHG) emissions with the induced climatic changes represent some of the major challenges to be taken up in the coming years and decades. Hybridization therefore typically represents a transition technology which can significantly improve the energy and environmental performance of current vehicles, without radically changing their use typologies, while opening the way to new propulsion modes for the longer term. It is nevertheless a complex subject requiring a multidisciplinary approach. This book, which is intended to be exhaustive, considers the vehicle, its components, their association and their control, as well as the global balances determined over the vehicle lifetime. It starts with a general presentation of the various conditions of use of vehicles, to give readers an understanding of the stakes related to the development of hybrid vehicles and the methods used to compare the performance of the various solutions. The principles and the various types of internal combustion engine and electrical drives, onboard energy storage systems, principles, architectures, specific components and operation of hybrid drivetrains, as well as the energy management in these vehicles, are developed. A global analysis of the various drivetrains life cycle assessment (LCA), total costs and availability of sensitive materials is also provided. This book is intended for everyone involved in the design, manufacture and implementation of hybrid drive vehicles and their components. It will also be of interest to students, teachers and researchers wishing to acquire or further their knowledge in all fields impacted by drivetrain electrification. More globally, after consulting this book, readers will be in a position to evaluate the technologies related to the concept of drivetrain hybridization, their implementation, balances and generalization conditions. This book is available in French Under the title "Véhicules hybrides". Contents : 1. Vehicle use. 2. Internal combustion engines. 3. Electric drivetrain. 4. On-board energy storage systems. 5. Hybridization. 6. Control of hybrid vehicles. 7. Comparative study of hybrid vehicles: greenhouse gas emissions, energy consumption, and cost. Appendixes.

Energy Storage Devices

Author : M. Taha Demirkan
Publisher : BoD – Books on Demand
ISBN 13 : 1789856930
Total Pages : 184 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Energy Storage Devices by : M. Taha Demirkan

Download or read book Energy Storage Devices written by M. Taha Demirkan and published by BoD – Books on Demand. This book was released on 2019-12-18 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy storage will be a very important part of the near future, and its effectiveness will be crucial for most future technologies. Energy can be stored in several different ways and these differ in terms of the type and the conversion method of the energy. Among those methods; chemical, mechanical, and thermal energy storage are some of the most favorable methods for containing energy. Current energy storage devices are still far from meeting the demands of new technological developments. Therefore, much effort has been put to improving the performance of different types of energy storage technologies in the last few decades.

Electric and Hybrid Vehicles

Author : Gianfranco Pistoia
Publisher : Elsevier
ISBN 13 : 0444535667
Total Pages : 671 pages
Book Rating : 4.4/5 (445 download)

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Book Synopsis Electric and Hybrid Vehicles by : Gianfranco Pistoia

Download or read book Electric and Hybrid Vehicles written by Gianfranco Pistoia and published by Elsevier. This book was released on 2010-07-27 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electric and Hybrid Vehicles: Power Sources, Models, Sustainability, Infrastructure and the Market reviews the performance, cost, safety, and sustainability of battery systems for hybrid electric vehicles (HEVs) and electric vehicles (EVs), including nickel-metal hydride batteries and Li-ion batteries. Throughout this book, especially in the first chapters, alternative vehicles with different power trains are compared in terms of lifetime cost, fuel consumption, and environmental impact. The emissions of greenhouse gases are particularly dealt with. The improvement of the battery, or fuel cell, performance and governmental incentives will play a fundamental role in determining how far and how substantial alternative vehicles will penetrate into the market. An adequate recharging infrastructure is of paramount importance for the diffusion of vehicles powered by batteries and fuel cells, as it may contribute to overcome the so-called range anxiety."" Thus, proposed battery charging techniques are summarized and hydrogen refueling stations are described. The final chapter reviews the state of the art of the current models of hybrid and electric vehicles along with the powertrain solutions adopted by the major automakers. Contributions from the worlds leading industry and research experts Executive summaries of specific case studies Information on basic research and application approaches