Iot Based Battery Management System Using Solar Energy
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Iot Based Battery Management System Using Solar Energy
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Author : V Suma Deepthi
language : en
Publisher: Archers & Elevators Publishing House
Release Date :
Iot Based Battery Management System Using Solar Energy written by V Suma Deepthi and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
An Intelligent Lead Acid Battery Management System For Solar And Off Peak Energy Storage
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Author : Ming-Chieh Chen
language : en
Publisher:
Release Date : 2012
An Intelligent Lead Acid Battery Management System For Solar And Off Peak Energy Storage written by Ming-Chieh Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Distributed generation of electric power categories.
The development of micro-girds which combine several localized systems into a small power network has drawn recent attention. They can operate either as a self-contained energy network or they can be integrated into a centralized power grid. A variety of technologies have been studied to use solar energy systems as a form of micro-grid to enhance the reliability and performance of the system. However, the operation of these systems is not without problems, and intermittency of the energy from the sun is the major one. This thesis proposes a microcontroller-based solar energy management system which combines battery management and storage technology to address this issue. This approach uses an energy system with a solar panel array, a maximum power point tracking (MPPT) unit, a battery management system, and a bidirectional inverter which is connected to the electric utility grid. Off-peak energy management also is embedded in the system to further increase the economic benefits.
Artificial Intelligent Techniques For Electric And Hybrid Electric Vehicles
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Author : Chitra A.
language : en
Publisher: John Wiley & Sons
Release Date : 2020-07-21
Artificial Intelligent Techniques For Electric And Hybrid Electric Vehicles written by Chitra A. and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-21 with Computers categories.
Electric vehicles are changing transportation dramatically and this unique book merges the many disciplines that contribute research to make EV possible, so the reader is informed about all the underlying science and technologies driving the change. An emission-free mobility system is the only way to save the world from the greenhouse effect and other ecological issues. This belief has led to a tremendous growth in the demand for electric vehicles (EV) and hybrid electric vehicles (HEV), which are predicted to have a promising future based on the goals fixed by the European Commission's Horizon 2020 program. This book brings together the research that has been carried out in the EV/HEV sector and the leading role of advanced optimization techniques with artificial intelligence (AI). This is achieved by compiling the findings of various studies in the electrical, electronics, computer, and mechanical domains for the EV/HEV system. In addition to acting as a hub for information on these research findings, the book also addresses the challenges in the EV/HEV sector and provides proven solutions that involve the most promising AI techniques. Since the commercialization of EVs/HEVs still remains a challenge in industries in terms of performance and cost, these are the two tradeoffs which need to be researched in order to arrive at an optimal solution. Therefore, this book focuses on the convergence of various technologies involved in EVs/HEVs. Since all countries will gradually shift from conventional internal combustion (IC) engine-based vehicles to EVs/HEVs in the near future, it also serves as a useful reliable resource for multidisciplinary researchers and industry teams.
Advanced Battery Management System For Electric Vehicles
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Author : Shichun Yang
language : en
Publisher: Springer Nature
Release Date : 2022-09-19
Advanced Battery Management System For Electric Vehicles written by Shichun Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-19 with Technology & Engineering categories.
The battery management system (BMS) optimizes the efficiency of batteries under allowable conditions and prevents serious failure modes. This book focuses on critical BMS techniques, such as battery modeling; estimation methods for state of charge, state of power and state of health; battery charging strategies; active and passive balancing methods; and thermal management strategies during the entire lifecycle. It also introduces functional safety and security-related design for BMS, and discusses potential future technologies, like digital twin technology.
Ai Techniques For Renewable Source Integration And Battery Charging Methods In Electric Vehicle Applications
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Author : Angalaeswari, S.
language : en
Publisher: IGI Global
Release Date : 2023-02-03
Ai Techniques For Renewable Source Integration And Battery Charging Methods In Electric Vehicle Applications written by Angalaeswari, S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-03 with Technology & Engineering categories.
Artificial intelligence techniques applied in the power system sector make the prediction of renewable power source generation and demand more efficient and effective. Additionally, since renewable sources are intermittent in nature, it is necessary to predict and analyze the data of input sources. Hence, further study on the prediction and data analysis of renewable energy sources for sustainable development is required. AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed generators. Covering key topics such as deep learning, artificial intelligence, and smart solar energy, this premier reference source is ideal for environmentalists, computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Autonomous Cell Based Lifepo4 Battery Management System For Solar Photovoltaic Applications
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Author : Jordan Torrealba
language : en
Publisher:
Release Date : 2020
Autonomous Cell Based Lifepo4 Battery Management System For Solar Photovoltaic Applications written by Jordan Torrealba and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
This thesis documents the development of a novel lithium iron phosphate (LFP) battery management system (BMS) intended for solar photovoltaic power system applications. While lead-acid battery systems are often implemented without a BMS, lithium-based battery systems require a BMS to provide two critical functions: cell protection and balance. The proposed innovative BMS approach aims to enable lithium batteries to be installed in low-voltage autonomous building blocks and treated much like traditional lead-acid battery banks connected in series and parallel configurations. Particular attention is paid to realizing a lithium-based approach that implements a low-cost, highcurrent protection mechanism and emulates the natural energy-dissipating balancing behaviour of unmanaged lead-acid based cells. Initially, cell characterization results are presented for eight series connected 3.2 V LFP cells with a capacity of 3.7 Ah. Testing investigated imbalance up to 20% of cell capacity within the 24 V string and compared resultant reduced string capacity to charge time, required balance power, and charging effectiveness (time and capacity) under different external setpoints. Practical setpoint limitations for low voltage cut-off, constant current/constant voltage (CC/CV), and power specification for the dissipative element of the BMS are explored. Subsequently, a novel BMS architecture was proposed, simulated, built, verified, and tested. The BMS implements a noncommunicating and heat dissipating cell balance architecture combined with a low-cost fuse-based cell protection mechanism. Both computer modelling and experimental testing of a 24 V nominal series string of LFP cells with a balance power curve emulating lead-acid battery self-balancing behavior to a maximum power of ~0.5 W per cell shows tolerance for greater than 50% single-cell imbalance (demonstrated to be the most difficult situation to manage on charge), charging at 1.85 A CC per cell, and 27.2 V CV (3.4 V per cell). On-demand cell protection using the cell's own discharge capability to blow its own high-current fuse and disconnect the battery from the rest of the pack is demonstrated to be effective. However, this protection approach comes at the expense of some battery capacity (60 mAh per parallel cell) that is required to be available to blow the fuse in a low voltage disconnect condition. The novel BMS system concept is ultimately prototyped in the context of a full-scale 6 V nominal, 220 Ah (2S59P layout of 3.8 Ah/12.16 Wh 26650 LFP cells) battery in the GC- 2 form factor providing a functional initial prototype at a commercially viable scale.
Iot And Analytics In Renewable Energy Systems Volume 1
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Author : O.V. Gnana Swathika
language : en
Publisher: CRC Press
Release Date : 2023-08-11
Iot And Analytics In Renewable Energy Systems Volume 1 written by O.V. Gnana Swathika and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-11 with Computers categories.
Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems
Applications Of Ai And Iot In Renewable Energy
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Author : Rabindra Nath Shaw
language : en
Publisher: Academic Press
Release Date : 2022-02-09
Applications Of Ai And Iot In Renewable Energy written by Rabindra Nath Shaw and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-09 with Science categories.
Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data
Battery Management Systems
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Author : H.J. Bergveld
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09
Battery Management Systems written by H.J. Bergveld and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Science categories.
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.
Battery Management System For Future Electric Vehicles
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Author : Dirk Söffker
language : en
Publisher: MDPI
Release Date : 2020-11-09
Battery Management System For Future Electric Vehicles written by Dirk Söffker and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-09 with Technology & Engineering categories.
The future of electric vehicles relies nearly entirely on the design, monitoring, and control of the vehicle battery and its associated systems. Along with an initial optimal design of the cell/pack-level structure, the runtime performance of the battery needs to be continuously monitored and optimized for a safe and reliable operation and prolonged life. Improved charging techniques need to be developed to protect and preserve the battery. The scope of this Special Issue is to address all the above issues by promoting innovative design concepts, modeling and state estimation techniques, charging/discharging management, and hybridization with other storage components.