Carlos Fernandez – författare

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

State Estimation Strategies in Lithium-ion Battery Management Systems presents key technologies and methodologies in modeling and monitoring charge, energy, power and health of lithium-ion batteries. Sections introduce core state parameters of the lithium-ion battery, reviewing existing research and the significance of the prediction of core state parameters of the lithium-ion battery and analyzing the advantages and disadvantages of prediction methods of core state parameters. Characteristic analysis and aging characteristics are then discussed. Subsequent chapters elaborate, in detail, on modeling and parameter identification methods and advanced estimation techniques in different application scenarios.

Offering a systematic approach supported by examples, process diagrams, flowcharts, algorithms, and other visual elements, this book is of interest to researchers, advanced students and scientists in energy storage, control, automation, electrical engineering, power systems, materials science and chemical engineering, as well as to engineers, R&D professionals, and other industry personnel.

Introduces lithium-ion batteries, characteristics and core state parameters Examines battery equivalent modeling and provides advanced methods for battery state estimation Analyzes current technology and future opportunities

Smart Safety Management of Energy Storage Batteries addresses battery management in new power systems which is an important component of the new generation of information technology and power systems. This book covers the application of this new type of power storage as well as power system identification modeling, intelligent energy storage battery status evaluation, and key technologies in intelligent management monitoring. Written for researchers, engineers, and students studying related areas, this book supports research in control science and control, automation, and electrical engineering, and serves as a technical reference for the application of new electric energy storage battery science and technology.Contains technical references for system design and applicationAddresses battery equivalent modeling, including electrical circuit modeling and parameter identification theoryIncludes coverage of battery state estimation methods such as state of charge estimation, state of health estimation, and state-of-charge and state-of-health co-estimation

Modelling, Estimation and AI Applications for Lithium-Ion Battery Management Systems is a comprehensive guide to the latest advancements in integrating artificial intelligence with lithium-ion battery technology. The book offers an in-depth exploration of fundamental principles, advanced modeling techniques, and state estimation strategies that are vital for enhancing battery performance, safety, and longevity. The book presents systematic coverage of battery operation, performance testing methods, and application scenarios, providing a solid foundation for understanding current challenges and innovations. Sections delve into core AI algorithms, including machine learning, deep learning, and hybrid approaches, illustrating how they revolutionize battery modeling and health monitoring.Key topics include hybrid modeling methods that combine equivalent circuit models, electrochemical theories, and AI techniques; precise estimation of State of Charge (SOC), State of Health (SOH), and State of Power (SOP); and strategies for joint state estimation to facilitate comprehensive battery management. Practical insights are reinforced with detailed discussions on experimental platform design, validation procedures, and data visualization techniques, bridging theory and real-world engineering.Utilizes machine learning and deep learning as the core driving force, integrating traditional equivalent circuit models with data-driven models to overcome the limitations of single physical modeling or scenario constraintsIntroduces the SOP (State-Of-Power) Estimation and multi-state joint optimization framework to address coupling defects inherent in traditional independent estimation methodsTeaches how to build a comprehensive chain encompassing “AI algorithm foundation - multi-model fusion - full lifecycle management - experimental verification” to ensure robustness and reliability of Li-ion batteries

Multidimensional Lithium-Ion Battery Status Monitoring focuses on equivalent circuit modeling, parameter identification, and state estimation in lithium-ion battery power applications. It explores the requirements of high-power lithium-ion batteries for new energy vehicles and systematically describes the key technologies in core state estimation based on battery equivalent modeling and parameter identification methods of lithium-ion batteries, providing a technical reference for the design and application of power lithium-ion battery management systems. Reviews Li-ion battery characteristics and applications. Covers battery equivalent modeling, including electrical circuit modeling and parameter identification theory Discusses battery state estimation methods, including state of charge estimation, state of energy prediction, state of power evaluation, state of health estimation, and cycle life estimation Introduces equivalent modeling and state estimation algorithms that can be applied to new energy measurement and control in large-scale energy storage Includes a large number of examples and case studies This book has been developed as a reference for researchers and advanced students in energy and electrical engineering.

Multidimensional Lithium-Ion Battery Status Monitoring focuses on equivalent circuit modeling, parameter identification, and state estimation in lithium-ion battery power applications. It explores the requirements of high-power lithium-ion batteries for new energy vehicles and systematically describes the key technologies in core state estimation based on battery equivalent modeling and parameter identification methods of lithium-ion batteries, providing a technical reference for the design and application of power lithium-ion battery management systems. Reviews Li-ion battery characteristics and applications. Covers battery equivalent modeling, including electrical circuit modeling and parameter identification theory Discusses battery state estimation methods, including state of charge estimation, state of energy prediction, state of power evaluation, state of health estimation, and cycle life estimation Introduces equivalent modeling and state estimation algorithms that can be applied to new energy measurement and control in large-scale energy storage Includes a large number of examples and case studies This book has been developed as a reference for researchers and advanced students in energy and electrical engineering.

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.

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.

Batteries are a necessary part of a low-emission energy system, as they can store renewable electricity and assist the grid. Utility-scale batteries, with capacities of several to hundreds of MWh, are particularly important for condominiums, local grid nodes, and EV charging arrays. However, such batteries are expensive and need to be monitored and managed well to maintain capacity and reliability. Artificial intelligence offers a solution for effective monitoring and management of utility-scale batteries.This book systematically describes AI-based technologies for battery state estimation and modeling for utility-scale Li-ion batteries. Chapters cover utility-scale lithium-ion battery system characteristics, AI-based equivalent modeling, parameter identification, state of charge estimation, battery parameter estimation, offer samples and case studies for utility-scale battery operation, and conclude with a summary and prospect for AI-based battery status monitoring. The book provides practical references for the design and application of large-scale lithium-ion battery systems.AI for Status Monitoring of Utility-Scale Batteries is an invaluable resource for researchers in battery R&D, including battery management systems and related power electronics, battery manufacturers, and advanced students.

Por razones que aquí se revelan, César Vallejo ocultó la condición vanguardista de Trilce, obra maestra de la lírica hispánica, publicada en Lima en octubre de 1922. Muchos poemas de este enigmático libro dejan, sin embargo, pocas dudas al respecto: estamos ante la cima de este estilo histórico en nuestra lengua. El juego con el lenguaje del afamado poeta peruano incorpora neologismos, innovaciones tipográficas, símbolos e imágenes chocantes que son centrales para un tejido lingüístico que desafía con frecuencia las formas ortodoxas de la coherencia.Esta monografía examina la organización de Trilce en detalle, sitúa la obra en su contexto literario y en la trayectoria de Vallejo; además, investiga las circunstancias que rodearon la composición de Trilce y produce un análisis de la cubierta, el prólogo y los poemas de la primera edición y sus ascendientes poéticos. El libro argumenta que el encuentro de Vallejo con dadá París tuvo un impacto decisivo en la poética de Vallejo y, por consiguiente, en Trilce. A lo largo de sus páginas, defiende, incluso frente a algunas declaraciones de Vallejo mismo el lugar preeminente de Trilce entre la poesía de vanguardia y, especialmente, entre las obras de filiación dadaísta.César Vallejo hid the avant-garde status of Trilce, a masterpiece of Hispanic poetry published in Lima in October 1922. Many of the poems in his enigmatic book, however, leave little doubt that it is the pinnacle of this historical style in the Spanish language.The language games of the famous Peruvian poet incorporate neologisms, typographical innovations, symbols and images that are central to a linguistic texture that frequently defies orthodox forms of coherence.This book examines the creation of Trilce in detail, setting the work in its literary context and the trajectory of Vallejo's own poetic development. Investigating the circumstances surrounding Trilce's composition and providing a close analysis of the cover, prologue and poems of first edition as well as its filiations, the book argues that Vallejo's encounter with Dada Paris had a major impact on his aesthetics and, accordingly, on Trilce. Throughout, it argues, pace Vallejo himself, for Trilce's pre-eminent place in avant-garde and, especially, Dadaist poetics.

La correspondencia de César Vallejo es la mejor puerta de entrada documental a su biografía. Esta edición recoge todas las cartas que se conocen escritas por Vallejo y dirigidas a él; además, esta se enriquece con notas aclaratorias que permiten adentrarse en el universo de César Vallejo.Este primer volumen recoge las cartas escritas entre 1910 y 1928. Se incluyen, entre otras, misivas hasta ahora inéditas dirigidas a Tristan Tzara y Xavier Abril, y se incorpora a la correspondencia el total de las solicitudes que envió Vallejo, durante su estadía en la cárcel de Trujillo, solicitando su libertad.César Vallejo's correspondence is the best documentary gateway to his biography. This edition collects all the known letters written by Vallejo and addressed to him. In addition, it is enriched with explanatory notes that allow us to delve into the universe of César Vallejo.This first volume collects letters written between 1910 and 1928. It includes, among others, unpublished letters addressed to Tristan Tzara and Xavier Abril, and all of the petitions Vallejo sent from his time in the Trujillo prison, requesting his release.

La correspondencia de César Vallejo es la mejor puerta de entrada documental a su biografía. Esta edición recoge todas las cartas que se conocen escritas por Vallejo y dirigidas a él; además, esta se enriquece con notas aclaratorias que permiten adentrarse en el universo de César Vallejo.Este segundo volumen recoge las cartas escritas entre 1929 y la muerte del poeta. El volumen incluye, entre otras, misivas hasta ahora inéditas dirigidas a José Eulogio Garrido y Juan Larrea, e incorpora a la correspondencia fragmentos de las cartas que le dirigió a quien sería su esposa, Georgette Philippart.César Vallejo's correspondence is the best documentary gateway to his biography. This edition collects all the known letters written by Vallejo and addressed to him. In addition, it is enriched with explanatory notes that allow us to delve into the universe of César Vallejo.This second volume collects letters written between 1929 and the poet's death. The volume includes, among others, hitherto unpublished letters addressed to José Eulogio Garrido and Juan Larrea, and incorporates into the correspondence fragments of the letters he addressed to his future wife, Georgette Philippart.

La correspondencia de César Vallejo es la mejor puerta de entrada documental a su biografía. Esta edición recoge todas las cartas que se conocen escritas por Vallejo y dirigidas a él; además, esta se enriquece con notas aclaratorias que permiten adentrarse en el universo de César Vallejo.Estos volumenes recogen las cartas escritas entre 1910 y la muerte del poeta. Se incluyen, entre otras, misivas hasta ahora inéditas dirigidas a Tristan Tzara, Xavier Abril, José Eulogio Garrido y Juan Larrea y se incorporan a la correspondencia el total de las solicitudes que envió Vallejo, durante su estadía en la cárcel de Trujillo, solicitando su libertad y fragmentos de las cartas que le dirigió a quien sería su esposa, Georgette Philippart.César Vallejo's correspondence offers a unique insight into his life story. These volumes collect the letters written between 1910 and the death of the poet. They include previously unpublished letters addressed to Tristan Tzara, Xavier Abril, José Eulogio Garrido and Juan Larrea, requests Vallejo sent during his stay in the Trujillo prison, requesting his freedom, and fragments of the letters that he addressed to his wife Georgette Philippart. The text is enriched with explanatory notes that allow us to delve into his universe.

This book investigates in detail long-term health state estimation technology of energy storage systems, assessing its potential use to replace common filtering methods that constructs by equivalent circuit model with a data-driven method combined with electrochemical modeling, which can reflect the battery internal characteristics, the battery degradation modes, and the battery pack health state. Studies on long-term health state estimation have attracted engineers and scientists from various disciplines, such as electrical engineering, materials, automation, energy, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of extraction for health indicators and the significant influence of electrochemical modeling and data-driven issues in the design and optimization of health state estimation in energy storage systems. The book is intended for undergraduate and graduate students who are interested in new energy measurement and control technology, researchers investigating energy storage systems, and structure/circuit design engineers working on energy storage cell and pack.