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Modeling Stationary Lithium Ion Batteries For Optimization And Predictive Control
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Book Synopsis Modeling Stationary Lithium-Ion Batteries for Optimization and Predictive Control: Preprint by :
Download or read book Modeling Stationary Lithium-Ion Batteries for Optimization and Predictive Control: Preprint written by and published by . This book was released on 2017 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accurately modeling stationary battery storage behavior is crucial to understand and predict its limitations in demand-side management scenarios. In this paper, a lithium-ion battery model was derived to estimate lifetime and state-of-charge for building-integrated use cases. The proposed battery model aims to balance speed and accuracy when modeling battery behavior for real-time predictive control and optimization. In order to achieve these goals, a mixed modeling approach was taken, which incorporates regression fits to experimental data and an equivalent circuit to model battery behavior. A comparison of the proposed battery model output to actual data from the manufacturer validates the modeling approach taken in the paper. Additionally, a dynamic test case demonstrates the effects of using regression models to represent internal resistance and capacity fading.
Book Synopsis Battery System Modeling by : Shunli Wang
Download or read book Battery System Modeling written by Shunli Wang and published by Elsevier. This book was released on 2021-06-23 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Benchmarks and Hybrid Algorithms in Optimization and Applications by : Xin-She Yang
Download or read book Benchmarks and Hybrid Algorithms in Optimization and Applications written by Xin-She Yang and published by Springer Nature. This book was released on 2023-09-22 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is specially focused on the latest developments and findings on hybrid algorithms and benchmarks in optimization and their applications in sciences, engineering, and industries. The book also provides some comprehensive reviews and surveys on implementations and coding aspects of benchmarks. The book is useful for Ph.D. students and researchers with a wide experience in the subject areas and also good reference for practitioners from academia and industrial applications.
Book Synopsis Advanced Model-Based Charging Control for Lithium-Ion Batteries by : Quan Ouyang
Download or read book Advanced Model-Based Charging Control for Lithium-Ion Batteries written by Quan Ouyang and published by Springer Nature. This book was released on 2023-01-01 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the most state-of-the-art advanced model-based charging control technologies for lithium-ion batteries are explained from the fundamental theories to practical designs and applications, especially on the battery modelling, user-involved, and fast charging control algorithm design. Moreover, some other necessary design considerations, such as battery pack charging control with centralized and distributed structures, are also introduced to provide excellent solutions for improving the charging performance and extending the lifetime of the batteries/battery packs. Finally, some future directions are mentioned in brief. This book summarizes the model-based charging control technologies from the cell level to the battery pack level. From this book, readers interested in battery management can have a broad view of modern battery charging technologies. Readers who have no experience in battery management can learn the basic concept, analysis methods, and design principles of battery charging systems. Even for the readers who are occupied in this area, this book also provides rich knowledge on engineering applications and future trends of battery charging technologies.
Book Synopsis Model Predictive Control and Optimization for Battery Charging and Discharging by :
Download or read book Model Predictive Control and Optimization for Battery Charging and Discharging written by and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: An apparatus for model predictive control (MPC) is disclosed. A method and system also perform the functions of the apparatus. The apparatus includes a measurement module that receives battery status information from one or more sensors receiving information from a battery cell, and a Kalman filter module that uses a Kalman filter and the battery status information to provide a state estimate vector. The apparatus includes a battery model module that inputs the state estimate vector and battery status information into a battery model and calculates a battery model output, the battery model representing the battery cell, and an MPC optimization module that inputs one or more battery model outputs and an error signal in a model predictive control algorithm to calculate an optimal response. The optimal response includes a modification of the error signal.
Book Synopsis 4th International Conference “Coordinating Engineering for Sustainability and Resilience” & Midterm Conference of CircularB “Implementation of Circular Economy in the Built Environment” by : Viorel Ungureanu
Download or read book 4th International Conference “Coordinating Engineering for Sustainability and Resilience” & Midterm Conference of CircularB “Implementation of Circular Economy in the Built Environment” written by Viorel Ungureanu and published by Springer Nature. This book was released on with total page 713 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Modeling and State Estimation of Automotive Lithium-Ion Batteries by : Shunli Wang
Download or read book Modeling and State Estimation of Automotive Lithium-Ion Batteries written by Shunli Wang and published by CRC Press. This book was released on 2024-07-16 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to evaluate and improve the state of charge (SOC) and state of health (SOH) of automotive lithium-ion batteries. The authors first introduce the basic working principle and dynamic test characteristics of lithium-ion batteries. They present the dynamic transfer model, compare it with the traditional second-order reserve capacity (RC) model, and demonstrate the advantages of the proposed new model. In addition, they propose the chaotic firefly optimization algorithm and demonstrate its effectiveness in improving the accuracy of SOC and SOH estimation through theoretical and experimental analysis. The book will benefit researchers and engineers in the new energy industry and provide students of science and engineering with some innovative aspects of battery modeling.
Author :Management Association, Information Resources Publisher :IGI Global ISBN 13 :1799891534 Total Pages :2002 pages Book Rating :4.7/5 (998 download)
Book Synopsis Research Anthology on Clean Energy Management and Solutions by : Management Association, Information Resources
Download or read book Research Anthology on Clean Energy Management and Solutions written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-06-25 with total page 2002 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy usage and consumption continue to rise globally each year, with the most efficient and cost-effective energy sources causing huge impacts to the environment. In an effort to mitigate harmful effects to the environment, implementing clean energy resources and utilizing green energy management strategies have become worldwide initiatives, with many countries from all regions quickly becoming leaders in renewable energy usage. Still, not every energy resource is without flaws. Researchers must develop effective and low-cost strategies for clean energy in order to find the balance between production and consumption. The Research Anthology on Clean Energy Management and Solutions provides in-depth research that explores strategies and techniques used in the energy production field to optimize energy efficiency in order to maintain clean and safe use while delivering ample energy coverage. The anthology also seeks solutions to energy that have not yet been optimized or are still produced in a way that is harmful to the environment. Covering topics such as hydrogen fuel cells, renewable energy, solar power, solar systems, cost savings, and climate protection, this text is essential for electrical engineers, nuclear engineers, environmentalists, managers, policymakers, government officials, professionals in the energy industry, researchers, academicians, and students looking for the latest research on clean energy management.
Book Synopsis Autonomous Control of Unmanned Aerial Vehicles by : Victor Becerra
Download or read book Autonomous Control of Unmanned Aerial Vehicles written by Victor Becerra and published by MDPI. This book was released on 2019-06-24 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned aerial vehicles (UAVs) are being increasingly used in different applications in both military and civilian domains. These applications include surveillance, reconnaissance, remote sensing, target acquisition, border patrol, infrastructure monitoring, aerial imaging, industrial inspection, and emergency medical aid. Vehicles that can be considered autonomous must be able to make decisions and react to events without direct intervention by humans. Although some UAVs are able to perform increasingly complex autonomous manoeuvres, most UAVs are not fully autonomous; instead, they are mostly operated remotely by humans. To make UAVs fully autonomous, many technological and algorithmic developments are still required. For instance, UAVs will need to improve their sensing of obstacles and subsequent avoidance. This becomes particularly important as autonomous UAVs start to operate in civilian airspaces that are occupied by other aircraft. The aim of this volume is to bring together the work of leading researchers and practitioners in the field of unmanned aerial vehicles with a common interest in their autonomy. The contributions that are part of this volume present key challenges associated with the autonomous control of unmanned aerial vehicles, and propose solution methodologies to address such challenges, analyse the proposed methodologies, and evaluate their performance.
Book Synopsis Applications of Power Electronics by : Frede Blaabjerg
Download or read book Applications of Power Electronics written by Frede Blaabjerg and published by MDPI. This book was released on 2019-06-24 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power electronics technology is still an emerging technology, and it has found its way into many applications, from renewable energy generation (i.e., wind power and solar power) to electrical vehicles (EVs), biomedical devices, and small appliances, such as laptop chargers. In the near future, electrical energy will be provided and handled by power electronics and consumed through power electronics; this not only will intensify the role of power electronics technology in power conversion processes, but also implies that power systems are undergoing a paradigm shift, from centralized distribution to distributed generation. Today, more than 1000 GW of renewable energy generation sources (photovoltaic (PV) and wind) have been installed, all of which are handled by power electronics technology. The main aim of this book is to highlight and address recent breakthroughs in the range of emerging applications in power electronics and in harmonic and electromagnetic interference (EMI) issues at device and system levels as discussed in robust and reliable power electronics technologies, including fault prognosis and diagnosis technique stability of grid-connected converters and smart control of power electronics in devices, microgrids, and at system levels.
Book Synopsis Real Time Optimal Control and State Estimation for Li-ion Batteries by : Dhananjay Gupta (M.S. in Engineering)
Download or read book Real Time Optimal Control and State Estimation for Li-ion Batteries written by Dhananjay Gupta (M.S. in Engineering) and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Li-Ion batteries are increasingly being looked at as a major alternative to fossil fuels in the transition towards clean energy. This has made created the necessity to be able to understand and predicted their behaviors – with the goal of elongating their life and ensuring safety of use. This thesis investigates the use of optimization-based state estimation and control methods on first-principle, physics-based models for the monitoring and real time control of batteries. Specifically, Moving Horizon Estimation in conjunction with Nonlinear Model Predictive Control applied to the Single Particle and Tank-in-Series Battery Models are investigated. First principle Li-Ion Battery Models consist of a set of coupled differential and algebraic equations. The constants in these equations are battery design parameters, which have been identified for an LGHG2 Cell by referring to relevant literature and conducting parameter estimation using gradient based methods. The two models’ equations are solved using numerical methods after spatial discretization. The optimization problems for state estimation and control are set up and tested offline. The same real time control framework is then deployed onto hardware application with a real battery. The real time control using this setup is tested on a Raspberry Pi, to gauge and optimally charge an LGHG2 3Ah Cell. The battery voltage and current is measured using a TI BQ40Z50 Battery Fuel Gauge, and the charging is done using a TI BQ25700A Buck Boost Charger. The optimization-based state estimation algorithm (MHE) can converge to the measured voltage and recover the model states based on real time current and voltage measurements received from the fuel gauge. The control algorithm (NMPC) can adjust the charging current as the battery nears the voltage setpoint, to prevent overcharging. The designed algorithm can also be easily modified for several objective functions, cell chemistries, and constraints. The novelty in this work is the application onto hardware, and closed loop, real time implementation of a Nonlinear Model Predictive Control algorithm without the use of any lookup tables, where optimization is conducted at each step to find an optimal control action
Book Synopsis Lithium-ion Battery Cell Management by : Marcelo A. Xavier
Download or read book Lithium-ion Battery Cell Management written by Marcelo A. Xavier and published by . This book was released on 2013 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Progress in Modeling and Simulation of Batteries by : John Turner
Download or read book Progress in Modeling and Simulation of Batteries written by John Turner and published by SAE International. This book was released on 2016-06-15 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling and simulation of batteries, in conjunction with theory and experiment, are important research tools that offer opportunities for advancement of technologies that are critical to electric motors. The development of data from the application of these tools can provide the basis for managerial and technical decision-making. Together, these will continue to transform batteries for electric vehicles. This collection of nine papers presents the modeling and simulation of batteries and the continuing contribution being made to this impressive progress, including topics that cover: • Thermal behavior and characteristics • Battery management system design and analysis • Moderately high-fidelity 3D capabilities • Optimization Techniques and Durability As electric vehicles continue to gain interest from manufacturers and consumers alike, improvements in economy and affordability, as well as adoption of alternative fuel sources to meet government mandates are driving battery research and development. Progress in modeling and simulation will continue to contribute to battery improvements that deliver increased power, energy storage, and durability to further enhance the appeal of electric vehicles.
Book Synopsis Efficient Strategies for Predictive Cell-level Control of Lithium-ion Batteries by : Marcelo A. Xavier
Download or read book Efficient Strategies for Predictive Cell-level Control of Lithium-ion Batteries written by Marcelo A. Xavier and published by . This book was released on 2016 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation introduces a set of state-space based model predictive control (MPC) algorithms tailored to a non-zero feedthrough term to account for the ohmic resistance that is inherent to the battery dynamics. MPC is herein applied to the problem of regulating celllevel measures of performance for lithium-ion batteries; the control methodologies are used first to compute a fast charging profile that respects input, output, and state constraints, i.e., input current, terminal voltage, and state of charge for an equivalent circuit model of the battery cell, and extended later to a linearized physics-based reduced-order model. The novelty of this work can summarized as follows: (1) the MPC variants are employed to a physics based reduce-order model in order to make use of the available set of internal electrochemical variables and mitigate internal mechanisms of cell degradation. (e.g., lithium plating); (2) we developed a dual-mode MPC closed-loop paradigm that suits the battery control problem with the objective of reducing computational effort by solving simpler optimization routines and guaranteeing stability; and finally (3) we developed a completely new approach of the use of a predictive control strategy where MPC is employed as a "smart sensor" for power estimation. Results are presented that show the comparative performance of the MPC algorithms for both EMC and PBROM These results highlight that dual-mode MPC can deliver optimal input current profiles by using a shorter horizon while still guaranteeing stability. Additionally, rigorous mathematical developments are presented for the development of the MPC algorithms. The use of MPC as a "smart sensor" presents it self as an appealing method for power estimation, since MPC permits a fully dynamic input profile that is able to achieve performance right at the proper constraint boundaries. Therefore, MPC is expected to produce accurate power limits for each computed sample time when compared to the Bisection method [1] which assumes constant input values over the prediction interval.
Book Synopsis Lifetime Prediction and Simulation Models of Different Energy Storage Devices by : Julia Kowal
Download or read book Lifetime Prediction and Simulation Models of Different Energy Storage Devices written by Julia Kowal and published by MDPI. This book was released on 2020-11-13 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: Energy storage is one of the most important enablers for the transformation to a sustainable energy supply with greater mobility. For vehicles, but also for many stationary applications, the batteries used for energy storage are very flexible but also have a rather limited lifetime compared to other storage principles. This Special Issue is a collection of articles that collectively address the following questions: What are the factors influencing the aging of different energy storage technologies? How can we extend the lifetime of storage systems? How can the aging of an energy storage be detected and predicted? When do we have to exchange the storage device? The articles cover lithium-ion batteries, supercaps, and flywheels.
Book Synopsis Cases on Green Energy and Sustainable Development by : Yang, Peter
Download or read book Cases on Green Energy and Sustainable Development written by Yang, Peter and published by IGI Global. This book was released on 2019-07-26 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the urgent need for action, there is a widespread lack of understanding of the benefits of using green energy sources for not only reducing carbon emissions and climate change, but also for growing a sustainable economy and society. Future citizens of the world face increasing sustainability issues and need to be better prepared for energy transformation and sustainable future economic development. Cases on Green Energy and Sustainable Development is a critical research book that focuses on the important role renewable energy and energy efficiency play in energy transition and sustainable development and covers economic and promotion policies of major renewable energy and energy-efficiency technologies. Highlighting a wide range of topics such as economics, energy storage, and transportation technologies, this book is ideal for environmentalists, academicians, researchers, engineers, policymakers, and students.
Book Synopsis Computationally Efficient Online Model-Based Control and Estimation for Lithium-ion Batteries by : Ji Liu
Download or read book Computationally Efficient Online Model-Based Control and Estimation for Lithium-ion Batteries written by Ji Liu and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation presents a framework for computationally-efficient, health-consciousonline state estimation and control in lithium-ion batteries. The framework buildson three main tools, namely, (i) battery model reformulation and (ii) pseudo-spectral optimization for (iii) differential flatness. All of these tools already existin the literature. However, their application to electrochemical battery estimationand control, both separately and in an integrated manner, represents a significantaddition to the literature. The dissertation shows that these tools, together, providesignificant improvements in computational efficiency for both online moving horizonbattery state estimation and online health-conscious model predictive battery con-trol. These benefits are demonstrated both in simulation and using an experimentalcase study.Two key facts motivate this dissertation. First, lithium-ion batteries are widelyused for different applications due to their low self-discharge rates, lack of memoryeffects, and high power/energy densities compared to traditional lead-acid and nickel-metal hydride batteries. Second, lithium-ion batteries are also vulnerable to agingand degradation mechanisms, such as lithium plating, some of which can lead tosafety issues. Conventional battery management systems (BMS) typically use model-free control strategies and therefore do not explicitly optimize the performance, lifespan, and cost of lithium-ion battery packs. They typically avoid internal damageby constraining externally-measured variables, such as battery voltage, current,and temperature. When pushed to charge a battery quickly without inducingexcessive damage, these systems often follow simple and potentially sub-optimalcharge/discharge trajectories, e.g., the constant-current/constant-voltage (CCCV)charging strategy. While the CCCV charging strategy is simple to implement,it suffers from its poor ability to explicitly control the internal variables causingbattery aging, such as side reaction overpotentials. Another disadvantage is theinability of this strategy to adapt to changes in battery dynamics caused by aging.Model-based control has the potential to alleviate many of the above limitationsof classical battery management systems. A model-based control system can estimate the internal state of a lithium-ion battery and use the estimated stateto adjust battery charging/discharging in a manner that avoids damaging sidereactions. By doing so, model-based control can (i) prolong battery life, (ii) improvebattery safety, (iii) increase battery energy storage capacity, (iv) decrease internaldamage/degradation, and (v) adapt to changes in battery dynamics resulting fromaging. These potential benefits are well-documented in the literature. However,one major challenge remains, namely, the computational complexity associatedwith online model-based battery state estimation and control. The goal of thisdissertation is to address this challenge by making five contributions to the literature.Specifically: Chapter 2 exploits the differential flatness of solid-phase lithium-ion batterydiffusion dynamics, together with pseudo-spectral optimization and diffusionmodel reformulation, to decrease the computational load associated withhealth-conscious battery trajectory optimization significantly. This contribu-tion forms a foundation for much of the subsequent work in this dissertation,but is limited to isothernal single-particle battery models with significanttime scale separation between anode- and cathode-side solid-phase diffusiondynamics. Chapter 3 extends the results of Chapter 2 in two ways. First , it exploitsthe law of conservation of charge to enable flatness-based, health-consciousbattery trajectory optimization for single particle battery models even in theabsence of time scale separation between the negative and positive electrodes.Second, it performs this optimization for a combined thermo-electrochemicalbattery model, thereby relaxing the above assumption of isothermal batterybehavior and highlighting the benefits of flatness-based optimization for anonlinear battery model. Chapter 4 presents a framework for flatness-based pseudo-spectral combinedstate and parameter estimation in lumped-parameter nonlinear systems.This framework enables computationally-efficient total least squares (TLS)estimation for lumped-parameter nonlinear systems. This is quite relevant topractical lithium-ion battery systems, where both battery input and outputmeasurements can be quite noisy. Chapter 5 utilizes the above flatness-based TLS estimation algorithm formoving horizon state estimation using a coupled thermo-electrochemicalequivalent circuit model of lithium-ion battery dynamics. Chapter 6 extends the battery estimation framework from Chapter 5 to enablemoving horizon, flatness-based TLS state estimation in thermo-electrochemical single-particle lithium-ion battery models, and demonstrates this frameworkusing laboratory experiments.The overall outcome of this dissertation is an integrated set of tools, all of themexploiting model reformulation, differential flatness, and pseudo-spectral methods,for computationally efficient online state estimation and health-conscious controlin lithium-ion batteries.
