Simulation of Battery Systems

Simulation of Battery Systems
Author: Farschad Torabi,Pouria Ahmadi
Publsiher: Academic Press
Total Pages: 430
Release: 2019-11-06
ISBN 10: 0128165952
ISBN 13: 9780128165959
Language: EN, FR, DE, ES & NL

Simulation of Battery Systems Book Review:

Simulation of Battery Systems: Fundamentals and Applications covers both the fundamental and technical aspects of battery systems. It is a solid reference on the simulation of battery dynamics based on fundamental governing equations of porous electrodes. Sections cover the fundamentals of electrochemistry and how to obtain electrochemical governing equations for porous electrodes, the governing equations and physical characteristics of lead-acid batteries, the physical characteristics of zinc-silver oxide batteries, experimental tests and parameters necessary for simulation and validation of battery dynamics, and an environmental impact and techno-economic assessment of battery systems for different applications, such as electric vehicles and battery energy storage. The book contains introductory information, with most chapters requiring a solid background in engineering or applied science. Battery industrial companies who want to improve their industrial batteries will also find this book useful. Includes carefully selected in-text problems, case studies and illustrative examples Features representative chapter-end problems, along with practical systems and applications Covers various numerical methods, including those based on CFD and optimization, also including free codes and databases

Multiscale Simulation Approach for Battery Production Systems

Multiscale Simulation Approach for Battery Production Systems
Author: Malte Schönemann
Publsiher: Springer
Total Pages: 176
Release: 2017-01-05
ISBN 10: 3319493671
ISBN 13: 9783319493671
Language: EN, FR, DE, ES & NL

Multiscale Simulation Approach for Battery Production Systems Book Review:

Addressing the challenge of improving battery quality while reducing high costs and environmental impacts of the production, this book presents a multiscale simulation approach for battery production systems along with a software environment and an application procedure. Battery systems are among the most important technologies of the 21st century since they are enablers for the market success of electric vehicles and stationary energy storage solutions. However, the performance of batteries so far has limited possible applications. Addressing this challenge requires an interdisciplinary understanding of dynamic cause-effect relationships between processes, equipment, materials, and environmental conditions. The approach in this book supports the integrated evaluation of improvement measures and is usable for different planning horizons. It is applied to an exemplary battery cell production and module assembly in order to demonstrate the effectiveness and potential benefits of the simulation.

Simulation of Battery Systems

Simulation of Battery Systems
Author: Pouria Ahmadi,Farschad Torabi
Publsiher: Academic Press
Total Pages: 430
Release: 2019-11
ISBN 10: 0128162120
ISBN 13: 9780128162125
Language: EN, FR, DE, ES & NL

Simulation of Battery Systems Book Review:

Simulation of Battery Systems: Fundamentals and Applications covers both the fundamental and technical aspects of battery systems. It is a solid reference on the simulation of battery dynamics based on fundamental governing equations of porous electrodes. Sections cover the fundamentals of electrochemistry and how to obtain electrochemical governing equations for porous electrodes, the governing equations and physical characteristics of lead-acid batteries, the physical characteristics of zinc-silver oxide batteries, experimental tests and parameters necessary for simulation and validation of battery dynamics, and an environmental impact and techno-economic assessment of battery systems for different applications, such as electric vehicles and battery energy storage. The book contains introductory information, with most chapters requiring a solid background in engineering or applied science. Battery industrial companies who want to improve their industrial batteries will also find this book useful. Includes carefully selected in-text problems, case studies and illustrative examples Features representative chapter-end problems, along with practical systems and applications Covers various numerical methods, including those based on CFD and optimization, also including free codes and databases

Battery System Modeling

Battery System Modeling
Author: Shunli Wang,Carlos Fernandez,Yu Chunmei,Yongcun Fan,Cao Wen,Daniel-Ioan Stroe,Zonghai Chen
Publsiher: Elsevier
Total Pages: 354
Release: 2021-07-01
ISBN 10: 0323904335
ISBN 13: 9780323904339
Language: EN, FR, DE, ES & NL

Battery System Modeling Book Review:

Battery System Modeling provides advances on the modeling of lithium-ion batteries. Offering step-by-step explanations, the book systematically guides the reader through the modeling of state of charge estimation, energy prediction, power evaluation, health estimation, and active control strategies. Using applications alongside practical case studies, each chapter shows the reader how to use the modeling tools provided. Moreover, the chemistry and characteristics are described in detail, with algorithms provided in every chapter. Providing a technical reference on the design and application of Li-ion battery management systems, this book is an ideal reference for researchers involved in batteries and energy storage. Moreover, the step-by-step guidance and comprehensive introduction to the topic makes it accessible to audiences of all levels, from experienced engineers to graduates. Explains how to model battery systems, including equivalent, electrical circuit and electrochemical nernst modeling Includes comprehensive coverage of battery state estimation methods, including state of charge estimation, energy prediction, power evaluation and health estimation Provides a dedicated chapter on active control strategies

Computer Simulation of High Discharge Rate Battery Systems

Computer Simulation of High Discharge Rate Battery Systems
Author: Vincent J. Farozic
Publsiher: Unknown
Total Pages: 112
Release: 1989
ISBN 10: 1928374650XXX
ISBN 13: OCLC:79894966
Language: EN, FR, DE, ES & NL

Computer Simulation of High Discharge Rate Battery Systems Book Review:

Thermal Management of Electric Vehicle Battery Systems

Thermal Management of Electric Vehicle Battery Systems
Author: Ibrahim Dincer,Halil S. Hamut,Nader Javani
Publsiher: John Wiley & Sons
Total Pages: 476
Release: 2017-03-20
ISBN 10: 1118900243
ISBN 13: 9781118900246
Language: EN, FR, DE, ES & NL

Thermal Management of Electric Vehicle Battery Systems Book Review:

7.5 Case Study 4: Heat Transfer and Thermal Management of Electric Vehicle Batteries with Phase Change Materials -- 7.5.1 Introduction -- 7.5.2 System Description -- 7.5.3 Analysis -- 7.5.4 Results and Discussion -- 7.5.5 Closing Remarks -- 7.6 Case Study 5: Experimental and Theoretical Investigation of Novel Phase Change Materials For Thermal Applications -- 7.6.1 Introduction -- 7.6.2 System Description -- 7.6.3 Analysis -- 7.6.4 Results and Discussion -- 7.6.5 Closing Remarks -- Nomenclature -- References -- Chapter 8 Alternative Dimensions and Future Expectations -- 8.1 Introduction -- 8.2 Outstanding Challenges -- 8.2.1 Consumer Perceptions -- 8.2.2 Socio-Technical Factors -- 8.2.3 Self-Reinforcing Processes -- 8.3 Emerging EV Technologies and Trends -- 8.3.1 Active Roads -- 8.3.2 V2X and Smart Grid -- 8.3.3 Battery Swapping -- 8.3.4 Battery Second Use -- 8.4 Future BTM Technologies -- 8.4.1 Thermoelectric Materials -- 8.4.2 Magnetic Cooling -- 8.4.3 Piezoelectric Fans/Dual Cooling Jets -- 8.4.4 Other Potential BTMSs -- 8.5 Concluding Remarks -- Nomenclature -- Study Questions/Problems -- References -- Index -- EULA

Artificial Neural Network Simulation of Battery Performance

Artificial Neural Network Simulation of Battery Performance
Author: Anonim
Publsiher: Unknown
Total Pages: 10
Release: 1998
ISBN 10: 1928374650XXX
ISBN 13: OCLC:68427127
Language: EN, FR, DE, ES & NL

Artificial Neural Network Simulation of Battery Performance Book Review:

Although they appear deceptively simple, batteries embody a complex set of interacting physical and chemical processes. While the discrete engineering characteristics of a battery such as the physical dimensions of the individual components, are relatively straightforward to define explicitly, their myriad chemical and physical processes, including interactions, are much more difficult to accurately represent. Within this category are the diffusive and solubility characteristics of individual species, reaction kinetics and mechanisms of primary chemical species as well as intermediates, and growth and morphology characteristics of reaction products as influenced by environmental and operational use profiles. For this reason, development of analytical models that can consistently predict the performance of a battery has only been partially successful, even though significant resources have been applied to this problem. As an alternative approach, the authors have begun development of a non-phenomenological model for battery systems based on artificial neural networks. Both recurrent and non-recurrent forms of these networks have been successfully used to develop accurate representations of battery behavior. The connectionist normalized linear spline (CMLS) network has been implemented with a self-organizing layer to model a battery system with the generalized radial basis function net. Concurrently, efforts are under way to use the feedforward back propagation network to map the {open_quotes}state{close_quotes} of a battery system. Because of the complexity of battery systems, accurate representation of the input and output parameters has proven to be very important. This paper describes these initial feasibility studies as well as the current models and makes comparisons between predicted and actual performance.

Design and Analysis of Large Lithium Ion Battery Systems

Design and Analysis of Large Lithium Ion Battery Systems
Author: Shriram Santhanagopalan,Kandler Smith,Jeremy Neubauer,Gi-Heon Kim,Ahmad Pesaran,Matthew Keyser
Publsiher: Artech House
Total Pages: 240
Release: 2014-12-01
ISBN 10: 1608077144
ISBN 13: 9781608077144
Language: EN, FR, DE, ES & NL

Design and Analysis of Large Lithium Ion Battery Systems Book Review:

This new resource provides you with an introduction to battery design and test considerations for large-scale automotive, aerospace, and grid applications. It details the logistics of designing a professional, large, Lithium-ion battery pack, primarily for the automotive industry, but also for non-automotive applications. Topics such as thermal management for such high-energy and high-power units are covered extensively, including detailed design examples. Every aspect of battery design and analysis is presented from a hands-on perspective. The authors work extensively with engineers in the field and this book is a direct response to frequently-received queries. With the authors’ unique expertise in areas such as battery thermal evaluation and design, physics-based modeling, and life and reliability assessment and prediction, this book is sure to provide you with essential, practical information on understanding, designing, and building large format Lithium-ion battery management systems.

Advances in Mathematical Modeling and Simulation of Electrochemical Processes and Oxygen Depolarized Cathodes and Activated Cathodes for Chlor alkali and Chlorate Processes

Advances in Mathematical Modeling and Simulation of Electrochemical Processes and Oxygen Depolarized Cathodes and Activated Cathodes for Chlor alkali and Chlorate Processes
Author: Electrochemical Society. Industrial Electrolysis and Electrochemical Engineering Division,Electrochemical Society. Energy Technology Division,Electrochemical Society. Meeting
Publsiher: The Electrochemical Society
Total Pages: 370
Release: 1998
ISBN 10: 9781566772044
ISBN 13: 1566772044
Language: EN, FR, DE, ES & NL

Advances in Mathematical Modeling and Simulation of Electrochemical Processes and Oxygen Depolarized Cathodes and Activated Cathodes for Chlor alkali and Chlorate Processes Book Review:

Numerical Simulation and Design of Multifunctional Structural Batteries

Numerical Simulation and Design of Multifunctional Structural Batteries
Author: Yinan Wang
Publsiher: Unknown
Total Pages: 135
Release: 2019
ISBN 10: 1928374650XXX
ISBN 13: OCLC:1130396080
Language: EN, FR, DE, ES & NL

Numerical Simulation and Design of Multifunctional Structural Batteries Book Review:

Multifunctional materials have been widely used in electrical applications because it has been demonstrated that high-strength composites can be integrated with active live battery material. This allows high strength and high energy density storage structures that can meet the transportation requirements on mobility and energy density. However, the design of multifunctional material requires fundamental understanding of the mechanical behavior of the integrated structural battery systems under various loading and environmental conditions. Characterization of this new class of multifunctional material becomes challenging without an adequate simulation model to guide the tests and to validate the results. The primary objective of this investigation is to develop the mechanical simulation and design of multifunctional battery systems, in particular Multifunctional Energy Storage Composites (MESC). It consists of multiple thin battery layers, polymer reinforcements, and carbon fiber composites. The combination of them poses significant challenges in simulation and modeling. To tackle these issues, homogenization techniques were adopted to characterize the multi-layer structure of the battery material with physics-based constitutive equations. Non-linear deformation theories are used to handle the interface between the battery layers. Second, mechanical and failure modes among battery materials, polymer reinforcements and composite-polymer interfaces were characterized by developing appropriate models and experiments. The numerical model of MESC has been implemented in a commercial finite element code. A comparison of the structural response and the failure modes between numerical simulation results and experimental test data will be presented. The results of the study have demonstrated that the prediction of elastic and damage responses of MESC at various loading conditions agree with the experimental results. With appropriate material property parameters determined from model calibration, this multi-physics model can be used as a necessary tool to understand and to govern the design of MESC for many applications.

Battery Management Systems

Battery Management Systems
Author: H.J. Bergveld,W.S. Kruijt,P.H.L Notten
Publsiher: Springer Science & Business Media
Total Pages: 295
Release: 2013-03-09
ISBN 10: 9401708436
ISBN 13: 9789401708432
Language: EN, FR, DE, ES & NL

Battery Management Systems Book Review:

Battery Management Systems - Design by Modelling describes the design of Battery Management Systems (BMS) with the aid of simulation methods. The basic tasks of BMS are to ensure optimum use of the energy stored in the battery (pack) that powers a portable device and to prevent damage inflicted on the battery (pack). This becomes increasingly important due to the larger power consumption associated with added features to portable devices on the one hand and the demand for longer run times on the other hand. In addition to explaining the general principles of BMS tasks such as charging algorithms and State-of-Charge (SoC) indication methods, the book also covers real-life examples of BMS functionality of practical portable devices such as shavers and cellular phones. Simulations offer the advantage over measurements that less time is needed to gain knowledge of a battery's behaviour in interaction with other parts in a portable device under a wide variety of conditions. This knowledge can be used to improve the design of a BMS, even before a prototype of the portable device has been built. The battery is the central part of a BMS and good simulation models that can be used to improve the BMS design were previously unavailable. Therefore, a large part of the book is devoted to the construction of simulation models for rechargeable batteries. With the aid of several illustrations it is shown that design improvements can indeed be realized with the presented battery models. Examples include an improved charging algorithm that was elaborated in simulations and verified in practice and a new SoC indication system that was developed showing promising results. The contents of Battery Management Systems - Design by Modelling is based on years of research performed at the Philips Research Laboratories. The combination of basic and detailed descriptions of battery behaviour both in chemical and electrical terms makes this book truly multidisciplinary. It can therefore be read both by people with an (electro)chemical and an electrical engineering background.

Fundamentals and Applications of Lithium ion Batteries in Electric Drive Vehicles

Fundamentals and Applications of Lithium ion Batteries in Electric Drive Vehicles
Author: Jiuchun Jiang,Caiping Zhang
Publsiher: John Wiley & Sons
Total Pages: 296
Release: 2015-02-25
ISBN 10: 1118414802
ISBN 13: 9781118414804
Language: EN, FR, DE, ES & NL

Fundamentals and Applications of Lithium ion Batteries in Electric Drive Vehicles Book Review:

A theoretical and technical guide to the electric vehicle lithium-ion battery management system Covers the timely topic of battery management systems for lithium batteries. After introducing the problem and basic background theory, it discusses battery modeling and state estimation. In addition to theoretical modeling it also contains practical information on charging and discharging control technology, cell equalisation and application to electric vehicles, and a discussion of the key technologies and research methods of the lithium-ion power battery management system. The author systematically expounds the theory knowledge included in the lithium-ion battery management systems and its practical application in electric vehicles, describing the theoretical connotation and practical application of the battery management systems. Selected graphics in the book are directly derived from the real vehicle tests. Through comparative analysis of the different system structures and different graphic symbols, related concepts are clear and the understanding of the battery management systems is enhanced. Contents include: key technologies and the difficulty point of vehicle power battery management system; lithium-ion battery performance modeling and simulation; the estimation theory and methods of the lithium-ion battery state of charge, state of energy, state of health and peak power; lithium-ion battery charge and discharge control technology; consistent evaluation and equalization techniques of the battery pack; battery management system design and application in electric vehicles. A theoretical and technical guide to the electric vehicle lithium-ion battery management system Using simulation technology, schematic diagrams and case studies, the basic concepts are described clearly and offer detailed analysis of battery charge and discharge control principles Equips the reader with the understanding and concept of the power battery, providing a clear cognition of the application and management of lithium ion batteries in electric vehicles Arms audiences with lots of case studies Essential reading for Researchers and professionals working in energy technologies, utility planners and system engineers.

Modeling Simulation and Analysis of Lithium ion Batteries for Grid scale Applications

Modeling  Simulation  and Analysis of Lithium ion Batteries for Grid scale Applications
Author: Matthew T. Lawder
Publsiher: Unknown
Total Pages: 210
Release: 2016
ISBN 10: 1928374650XXX
ISBN 13: OCLC:954746761
Language: EN, FR, DE, ES & NL

Modeling Simulation and Analysis of Lithium ion Batteries for Grid scale Applications Book Review:

Lithium-ion batteries have become universally present in daily life, being used across a wide range of portable consumer electronics. These batteries are advantageous compared to other forms of energy storage due to their high energy density and long cycle life. These characteristics make lithium-ion batteries advantageous for many new and developing applications that require large scale energy storage such as electric vehicles and the utility grid. Typical uses for lithium-ion batteries require consistent cycling patterns that are predictable and easy to approximate across all uses, but new large scale applications will have much more dynamic demands. The cycling patterns for electric vehicles will vary based on each individuals driving patterns and batteries used for energy storage in the grid must be flexible enough to account for continuous fluctuations in demand and generation with little advanced notice. Along with these requirements, large scale applications do not want to sacrifice on cycle life and need to know that adding batteries will make operational and economic sense in specific cases. It is not possible to experimentally validate every possible driving pattern or grid storage need because of the great expense of these large systems and the long timescale required for testing. Therefore modeling of these systems is advantageous to help study specific application constraints and understand how lithium-ion batteries operate under those constraints. A systems level model is developed to study lithium-ion battery systems for use with solar energy (in a solar-battery hybrid system) and electric vehicles. Electrochemical based battery models are used as a component within larger systems. To facilitate fast simulation a single step perturbation and switch method is outlined for increasing the speed and robustness of solving the systems of DAEs that result from the systems level model. Operational characteristics are studied for lithium-ion batteries used to store solar energy within the electric grid. Different grid demands are tested against the system model to better understand the best uses for the solar-battery hybrid system. Both generic site studies and site specific studies were conducted. Solar irradiance data from 2010-2014 was obtained from 10 US based sites and used as an input to the system model to understand how the same system will operate differently at various locations. Technological benefits such as system autonomy were simulated for each site as well as economic benefits based on a time-of-use pricing scenario. These models included the growth of the solid-electrolyte interface layer on the battery electrodes to measure capacity fade during operation. This capacity fade mechanism allowed tracking of the site specific effects on battery life. A systems level model for an electric vehicle was also developed to simulate the growth of the SEI layer caused from different types of driving cycles and charging patterns. Results from both system models are presented along with an optimization method for the solar-battery hybrid model. In addition to modeling, experimental tests of LiFePO4 lithium-ion battery cells were conducted to measure capacity fade associated with different types of cycling throughout a batterys life. Cycling protocols were tested to study traditional capacity fade and also to focus on increasing a cells lifetime benefit through application switching.

Battery Systems Engineering

Battery Systems Engineering
Author: Christopher D. Rahn,Chao-Yang Wang
Publsiher: John Wiley & Sons
Total Pages: 256
Release: 2013-01-25
ISBN 10: 1118517059
ISBN 13: 9781118517055
Language: EN, FR, DE, ES & NL

Battery Systems Engineering Book Review:

A complete all-in-one reference on the important interdisciplinary topic of Battery Systems Engineering Focusing on the interdisciplinary area of battery systems engineering, this book provides the background, models, solution techniques, and systems theory that are necessary for the development of advanced battery management systems. It covers the topic from the perspective of basic electrochemistry as well as systems engineering topics and provides a basis for battery modeling for system engineering of electric and hybrid electric vehicle platforms. This original approach gives a useful overview for systems engineers in chemical, mechanical, electrical, or aerospace engineering who are interested in learning more about batteries and how to use them effectively. Chemists, material scientists, and mathematical modelers can also benefit from this book by learning how their expertise affects battery management. Approaches a topic which has experienced phenomenal growth in recent years Topics covered include: Electrochemistry; Governing Equations; Discretization Methods; System Response and Battery Management Systems Include tables, illustrations, photographs, graphs, worked examples, homework problems, and references, to thoroughly illustrate key material Ideal for engineers working in the mechanical, electrical, and chemical fields as well as graduate students in these areas A valuable resource for Scientists and Engineers working in the battery or electric vehicle industries, Graduate students in mechanical engineering, electrical engineering, chemical engineering.

Advances in Battery Manufacturing Service and Management Systems

Advances in Battery Manufacturing  Service  and Management Systems
Author: Jingshan Li,Shiyu Zhou,Yehui Han
Publsiher: John Wiley & Sons
Total Pages: 416
Release: 2016-09-20
ISBN 10: 111906063X
ISBN 13: 9781119060635
Language: EN, FR, DE, ES & NL

Advances in Battery Manufacturing Service and Management Systems Book Review:

Addresses the methodology and theoretical foundation of battery manufacturing, service and management systems (BM2S2), and discusses the issues and challenges in these areas This book brings together experts in the field to highlight the cutting edge research advances in BM2S2 and to promote an innovative integrated research framework responding to the challenges. There are three major parts included in this book: manufacturing, service, and management. The first part focuses on battery manufacturing systems, including modeling, analysis, design and control, as well as economic and risk analyses. The second part focuses on information technology’s impact on service systems, such as data-driven reliability modeling, failure prognosis, and service decision making methodologies for battery services. The third part addresses battery management systems (BMS) for control and optimization of battery cells, operations, and hybrid storage systems to ensure overall performance and safety, as well as EV management. The contributors consist of experts from universities, industry research centers, and government agency. In addition, this book: Provides comprehensive overviews of lithium-ion battery and battery electrical vehicle manufacturing, as well as economic returns and government support Introduces integrated models for quality propagation and productivity improvement, as well as indicators for bottleneck identification and mitigation in battery manufacturing Covers models and diagnosis algorithms for battery SOC and SOH estimation, data-driven prognosis algorithms for predicting the remaining useful life (RUL) of battery SOC and SOH Presents mathematical models and novel structure of battery equalizers in battery management systems (BMS) Reviews the state of the art of battery, supercapacitor, and battery-supercapacitor hybrid energy storage systems (HESSs) for advanced electric vehicle applications Advances in Battery Manufacturing, Services, and Management Systems is written for researchers and engineers working on battery manufacturing, service, operations, logistics, and management. It can also serve as a reference for senior undergraduate and graduate students interested in BM2S2.

Electric Vehicle Battery Systems

Electric Vehicle Battery Systems
Author: Sandeep Dhameja
Publsiher: Elsevier
Total Pages: 252
Release: 2001-10-30
ISBN 10: 0080488765
ISBN 13: 9780080488769
Language: EN, FR, DE, ES & NL

Electric Vehicle Battery Systems Book Review:

Electric Vehicle Battery Systems provides operational theory and design guidance for engineers and technicians working to design and develop efficient electric vehicle (EV) power sources. As Zero Emission Vehicles become a requirement in more areas of the world, the technology required to design and maintain their complex battery systems is needed not only by the vehicle designers, but by those who will provide recharging and maintenance services, as well as utility infrastructure providers. Includes fuel cell and hybrid vehicle applications. Written with cost and efficiency foremost in mind, Electric Vehicle Battery Systems offers essential details on failure mode analysis of VRLA, NiMH battery systems, the fast-charging of electric vehicle battery systems based on Pb-acid, NiMH, Li-ion technologies, and much more. Key coverage includes issues that can affect electric vehicle performance, such as total battery capacity, battery charging and discharging, and battery temperature constraints. The author also explores electric vehicle performance, battery testing (15 core performance tests provided), lithium-ion batteries, fuel cells and hybrid vehicles. In order to make a practical electric vehicle, a thorough understanding of the operation of a set of batteries in a pack is necessary. Expertly written and researched, Electric Vehicle Battery Systems will prove invaluable to automotive engineers, electronics and integrated circuit design engineers, and anyone whose interests involve electric vehicles and battery systems. * Addresses cost and efficiency as key elements in the design process * Provides comprehensive coverage of the theory, operation, and configuration of complex battery systems, including Pb-acid, NiMH, and Li-ion technologies * Provides comprehensive coverage of the theory, operation, and configuration of complex battery systems, including Pb-acid, NiMH, and Li-ion technologies

Hardware in Loop Simulation of Battery Storage Systems for Power System Applications

Hardware in Loop Simulation of Battery Storage Systems for Power System Applications
Author: Damon Bazargan
Publsiher: Unknown
Total Pages: 135
Release: 2012
ISBN 10: 1928374650XXX
ISBN 13: OCLC:857915972
Language: EN, FR, DE, ES & NL

Hardware in Loop Simulation of Battery Storage Systems for Power System Applications Book Review:

Simulation and Modeling of Electrochemical Systems with Pore scale Analysis

Simulation and Modeling of Electrochemical Systems with Pore scale Analysis
Author: Yenny D. Anderson
Publsiher: Unknown
Total Pages: 218
Release: 2019
ISBN 10: 1928374650XXX
ISBN 13: OCLC:1129015157
Language: EN, FR, DE, ES & NL

Simulation and Modeling of Electrochemical Systems with Pore scale Analysis Book Review:

One of the most important requirements for being able to integrate clean energy generation is storage through new battery technology. For example, to address the issue from intermittent energy sources such as wind and solar power vanadium redox flow batteries (VRFBs) have emerged as promising technology. Another promising technology, particularly for vehicular application, is that of lithium air batteries which boast high energy density (an order of magnitude higher than state of the art Li-ion batteries) but suffer from short cycle life. While the majority of literature covers these energy storage systems in experimental setups experimental identification for the optimal electrode microstructure is challenging, time consuming, and expensive. The primary objective of this dissertation is to apply pore-scale modeling to simulate the effect of key design parameters and operating conditions to optimize cell performance in vanadium redox flow and lithium-air batteries. The motivation behind selecting these battery systems is not only the technological advantages highlighted above but also because they span very different electrode architecture length scales (nanometers for Li-air to millimeters for flow batteries), which will enable the models developed to be utilized in many different systems beyond the specific ones studied here.

Agent based Modeling and Simulation of Renewable Energy Market Integration

Agent based Modeling and Simulation of Renewable Energy Market Integration
Author: Martin Klein
Publsiher: Unknown
Total Pages: 135
Release: 2020
ISBN 10: 1928374650XXX
ISBN 13: OCLC:1226405677
Language: EN, FR, DE, ES & NL

Agent based Modeling and Simulation of Renewable Energy Market Integration Book Review:

Mathematical Modeling of Lithium Batteries

Mathematical Modeling of Lithium Batteries
Author: Krishnan S. Hariharan,Piyush Tagade,Sanoop Ramachandran
Publsiher: Springer
Total Pages: 211
Release: 2019-06-06
ISBN 10: 9783319791388
ISBN 13: 3319791389
Language: EN, FR, DE, ES & NL

Mathematical Modeling of Lithium Batteries Book Review:

This book is unique to be the only one completely dedicated for battery modeling for all components of battery management system (BMS) applications. The contents of this book compliment the multitude of research publications in this domain by providing coherent fundamentals. An explosive market of Li ion batteries has led to aggressive demand for mathematical models for battery management systems (BMS). Researchers from multi-various backgrounds contribute from their respective background, leading to a lateral growth. Risk of this runaway situation is that researchers tend to use an existing method or algorithm without in depth knowledge of the cohesive fundamentals—often misinterpreting the outcome. It is worthy to note that the guiding principles are similar and the lack of clarity impedes a significant advancement. A repeat or even a synopsis of all the applications of battery modeling albeit redundant, would hence be a mammoth task, and cannot be done in a single offering. The authors believe that a pivotal contribution can be made by explaining the fundamentals in a coherent manner. Such an offering would enable researchers from multiple domains appreciate the bedrock principles and forward the frontier. Battery is an electrochemical system, and any level of understanding cannot ellipse this premise. The common thread that needs to run across—from detailed electrochemical models to algorithms used for real time estimation on a microchip—is that it be physics based. Build on this theme, this book has three parts. Each part starts with developing a framework—often invoking basic principles of thermodynamics or transport phenomena—and ends with certain verified real time applications. The first part deals with electrochemical modeling and the second with model order reduction. Objective of a BMS is estimation of state and health, and the third part is dedicated for that. Rules for state observers are derived from a generic Bayesian framework, and health estimation is pursued using machine learning (ML) tools. A distinct component of this book is thorough derivations of the learning rules for the novel ML algorithms. Given the large-scale application of ML in various domains, this segment can be relevant to researchers outside BMS domain as well. The authors hope this offering would satisfy a practicing engineer with a basic perspective, and a budding researcher with essential tools on a comprehensive understanding of BMS models.