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

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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.

Contribution of Developing a Prognostics-based Energy Management Strategy for Fuel Cell Hybrid System - Application to a Fuel Cell/battery Hybrid Electric Vehicle

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ISBN 13 :
Total Pages : 169 pages
Book Rating : 4.:/5 (115 download)

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Book Synopsis Contribution of Developing a Prognostics-based Energy Management Strategy for Fuel Cell Hybrid System - Application to a Fuel Cell/battery Hybrid Electric Vehicle by : Meiling Yue

Download or read book Contribution of Developing a Prognostics-based Energy Management Strategy for Fuel Cell Hybrid System - Application to a Fuel Cell/battery Hybrid Electric Vehicle written by Meiling Yue and published by . This book was released on 2019 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuel cell hybrid propulsion system is gaining momentum in today's automotive market and offers a sustainable solution for the world climate change in the transport sector. However, the durability and reliability of the power sources used in the hybrid system are the inevitable obstacles for its massive commercialization. To optimize and maximize the lifespan of the hybrid system, a prognostics and health management (PHM) approach is deployed to manage and mitigate the power source degradation behaviour and applied to a fuel cell hybrid electric vehicle.In this context, two main contributions are made. The first stage is to deploy a prognostics method that can be used in the hybrid system. Particle filtering, as a commonly used state estimation method, is adapted for prognostics purpose in this thesis. It is used to handle the imprecise and uncertain degradation data and estimate the remaining useful life. The method is validated by historical fuel cell and battery datasets and the results are evaluated by the designed prognostics metrics.Subsequently, a second stage on the health management aspect of PHM is proposed. As the split of demanded power in a hybrid system is managed by an energy management strategy (EMS), the orientation of this stage is to develop a health-conscious EMS in the context of PHM. A great quantity of researches on prognostics with finished experimental data have been found in the literature, while how to use the prognostics results to make corrective control actions is rarely discussed. To help against this vacancy in hybrid system applications, a prognostics-enabled decision-making process is designed. The performance is evaluated by quantifying the degradation and the lifetime of the system in a simulated environment and a discussion on prognostics occurrence is launched for further investigations on maintenance.

Hybrid Electric Vehicles

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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.

Optimization of the Fuel Cell Renewable Hybrid Power Systems

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Publisher : Springer Nature
ISBN 13 : 303040241X
Total Pages : 350 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Optimization of the Fuel Cell Renewable Hybrid Power Systems by : Nicu Bizon

Download or read book Optimization of the Fuel Cell Renewable Hybrid Power Systems written by Nicu Bizon and published by Springer Nature. This book was released on 2020-02-11 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive review of renewable energy sources and optimization strategies in hybrid power systems (HPSs). It analyses the main issues and challenges in the renewable (REW) HPS field, particularly those using fuel cell (FC) systems as their main source of energy. It then offers innovative solutions to these issues, comparing them to solutions currently found in the literature. The book discusses optimization algorithms and energy management strategies. The focus is chiefly on FC net power maximization and fuel economy strategies based on global optimization. The last two chapters discuss energy harvesting from photovoltaic systems and how to mitigate energy variability in REW FC HPS. The main content is supplemented by numerous examples and simulations. Academics, students and practitioners in relevant industrial branches interested in REW HPS finds it of considerable interest, as a reference book or for building their own HPSs based on the examples provided.

Energy Management Control Strategies for Fuel Cell Hybrid Electric Vehicles

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Publisher :
ISBN 13 :
Total Pages : 166 pages
Book Rating : 4.:/5 (154 download)

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Book Synopsis Energy Management Control Strategies for Fuel Cell Hybrid Electric Vehicles by : Askin Minaz

Download or read book Energy Management Control Strategies for Fuel Cell Hybrid Electric Vehicles written by Askin Minaz and published by . This book was released on 2006 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

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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.

PEM Fuel Cells

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Publisher : Elsevier
ISBN 13 : 0128237090
Total Pages : 584 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis PEM Fuel Cells by : Gurbinder Kaur

Download or read book PEM Fuel Cells written by Gurbinder Kaur and published by Elsevier. This book was released on 2021-11-16 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: PEM Fuel Cells: Fundamentals, Advanced Technologies, and Practical Application provides a comprehensive introduction to the principles of PEM fuel cell, their working condition and application, and the latest breakthroughs and challenges for fuel cell technology. Each chapter follows a systematic and consistent structure with clear illustrations and diagrams for easy understanding. The opening chapters address the basics of PEM technology; stacking and membrane electrode assembly for PEM, degradation mechanisms of electrocatalysts, platinum dissolution and redeposition, carbon-support corrosion, bipolar plates and carbon nanotubes for the PEM, and gas diffusion layers. Thermodynamics, operating conditions, and electrochemistry address fuel cell efficiency and the fundamental workings of the PEM. Instruments and techniques for testing and diagnosis are then presented alongside practical tests. Dedicated chapters explain how to use MATLAB and COMSOL to conduct simulation and modeling of catalysts, gas diffusion layers, assembly, and membrane. Degradation and failure modes are discussed in detail, providing strategies and protocols for mitigation. High-temperature PEMs are also examined, as are the fundamentals of EIS. Critically, the environmental impact and life cycle of the production and storage of hydrogen are addressed, as are the risk and durability issues of PEMFC technology. Dedicated chapters are presented on the economics and commercialization of PEMFCs, including discussion of installation costs, initial capital costs, and the regulatory frameworks; apart from this, there is a separate chapter on their application to the automotive industry. Finally, future challenges and applications are considered. PEM Fuel Cells: Fundamentals, Advanced Technologies, and Practical Application provides an in-depth and comprehensive reference on every aspect of PEM fuel cells fundamentals, ideal for researchers, graduates, and students. Presents the fundamentals of PEM fuel cell technology, electrolytes, membranes, modeling, conductivity, recent trends, and future applications Addresses commercialization, public policy, and the environmental impacts of PEMFC in dedicated chapters Presents state-of-the-art PEMFC research alongside the underlying concepts

Predictive Energy Management for Fuel Cell Hybrid Electric Vehicle

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (122 download)

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Book Synopsis Predictive Energy Management for Fuel Cell Hybrid Electric Vehicle by : Yang Zhou

Download or read book Predictive Energy Management for Fuel Cell Hybrid Electric Vehicle written by Yang Zhou and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuel cell electric vehicles have been widely deemed as the promising substitution against traditional internal combustion engine-based vehicles. To reduce the vehicular operating costs, a practical solution at current stage is to efficiently and healthily use the hybrid propulsion systems. Such task can be fulfilled via reliable energy management strategies, which coordinate the outputs of multiple energy sources to satisfy the vehicular power request.In such context, this PhD thesis intends to devise intelligent energy management strategies for fuel cell hybrid electric vehicles. Compared to existing control strategies, this thesis especially focuses on the possibility of combining the forecasted driving information with the real-time optimal control framework. Several driving prediction techniques are developed to estimate the upcoming driving conditions, like the vehicle's speed, battery state-of-charge reference and driving pattern information. Thereafter, model predictive control is selected for real-time decision-making, since it is capable of handling the time-varying constrained systems and is convenient for the integration of driving predictive information. Based on the forecasted results and model predictive control, several predictive energy management strategies are established, aiming at saving hydrogen consumption and enhancing fuel cell durability versus benchmark strategies.Both offline simulation and software-in-the-loop testing have verified the functionality and real-time suitability of the proposed strategies.

Proceedings of Fourth International Conference on Inventive Material Science Applications

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Publisher : Springer Nature
ISBN 13 : 9811643210
Total Pages : 802 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Proceedings of Fourth International Conference on Inventive Material Science Applications by : V. Bindhu

Download or read book Proceedings of Fourth International Conference on Inventive Material Science Applications written by V. Bindhu and published by Springer Nature. This book was released on 2021-10-19 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume is a collection of best selected research papers presented at the 4th International Conference on Inventive Material Science Applications (ICIMA 2021) organized by PPG Institute of Technology, Coimbatore, India during 14 – 15 May 2021. The book includes original research by material science researchers towards developing a compact and efficient functional elements and structures for micro, nano and optoelectronic applications. The book covers important topics like nanomaterials and devices, optoelectronics, sustainable electronic materials, nanocomposites and nanostructures, hybrid electronic materials, medical electronics, computational material science, wearable electronic devices and models, and optical/nano-sensors.

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

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Publisher :
ISBN 13 : 9781461477129
Total Pages : 272 pages
Book Rating : 4.4/5 (771 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 . This book was released on 2013-11-30 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Sustainable Energy Planning in Smart Grids

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Publisher : Elsevier
ISBN 13 : 044314155X
Total Pages : 388 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Sustainable Energy Planning in Smart Grids by : David Borge-Diez

Download or read book Sustainable Energy Planning in Smart Grids written by David Borge-Diez and published by Elsevier. This book was released on 2023-09-29 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable Energy Planning in Smart Grids curates a diverse selection of innovative technological applications for problem-solving towards a sustainable smart grid. Through these examples, the reader will discover the flexibility and analytical skills required for the race towards reliable, resilient, renewable energy. This book’s combination of real-world case studies allows students and researchers to understand the complex, interdisciplinary systems that impact potential solutions. Detailed analysis highlights the positives and drawbacks of a variety of options, modeling considerations, and criteria for success. Trials and testing include electric vehicle charging, public lighting, energy mapping, heating solutions, and a proposal for 100% renewable cities. With contributions from a global range of experts, this book builds the complex picture of integrated, systemic modern energy planning. Collects case studies from experts around the world Presents readers with insights into current technological applications and innovations for building a sustainable grid and energy system Provides well-rounded, complex context to these interdisciplinary challenges

Deep Reinforcement Learning-based Energy Management for Hybrid Electric Vehicles

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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.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

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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.

Modern Electric, Hybrid Electric, and Fuel Cell Vehicles

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Publisher : CRC Press
ISBN 13 : 1420054007
Total Pages : 557 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Modern Electric, Hybrid Electric, and Fuel Cell Vehicles by : Mehrdad Ehsani

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.

Control of Fuel Cell Power Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1447137922
Total Pages : 175 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Control of Fuel Cell Power Systems by : Jay T. Pukrushpan

Download or read book Control of Fuel Cell Power Systems written by Jay T. Pukrushpan and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting the latest research in the control of fuel cell technology, this book will contribute to the commercial viability of the technology. The authors’ background in automotive technology gives the work added authority as a vital element of future planning.

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management

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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

Optimal Energy Management Strategy for a Fuel Cell Hybrid Electric Vehicle

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis Optimal Energy Management Strategy for a Fuel Cell Hybrid Electric Vehicle by : Thomas P. Fletcher

Download or read book Optimal Energy Management Strategy for a Fuel Cell Hybrid Electric Vehicle written by Thomas P. Fletcher and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: