Relevant bibliographies by topics / Batteries management system

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Batteries management system'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 June 2025

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Journal articles on the topic "Batteries management system"

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Yang, Ping, Hou Yu Yu, and Yong Gang Yan. "Implementation of the Li-Ion Battery Management System Based on DS2438." Applied Mechanics and Materials 733 (February 2015): 714–17. http://dx.doi.org/10.4028/www.scientific.net/amm.733.714.

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In order to ensure good performance and extend the lifetime of li-ion batteries in electric cars, effective real-time monitoring and management must be valued. This paper designs an electric vehicle battery management system based on a smart battery monitoring chip, DS2438. It integrates the measurement of battery's temperature, voltage, current, and power as a whole, which not only simplifies the circuit, but also saves system cost. The battery’s SOC (State Of Charge) can be easily estimated and displayed in this design. It improves the reliability of power battery pack and prolonged its life, which can be used as reference to battery management system design and application.
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Leba, Monica, Andreea Ionica, Raluca Dovleac, and Remus Dobra. "Waste Management System for Batteries." Sustainability 10, no. 3 (2018): 332. http://dx.doi.org/10.3390/su10020332.

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V, AMIRTHA PREEYA. "BATTERY MANAGEMENT SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40648.

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The design teams achieved this by breaking down the major problem into subtasks and devising solutions for each. In this way, the design teams chose an appropriate generator and mounted it inconspicuously in the vehicle; they designed a battery heating scheme using heating pads; and adapted existing vehicle circuitry to accommodate the new battery charging system. The design teams programmed a microcontroller to activate each component as needed with transistor-controlled current relays. Therefore, the electric vehicle is capable of activating its generator through the microcontroller, and the microcontroller further decides whether it should activate the heating pads in case the system temperature falls below an acceptable boundary or whether to activate the charger in case the battery state of charge falls below an acceptable boundary. Based on what the temperature sensor connected to batteries, a signal from a voltage divider tied to the same batteries, as well as one from a current sensor in series to the battery charger and the pack of batteries says, the systems to be used are determined through the microcontroller. The design teams rewired the vehicle circuitry so that when the generator activates, it always assumes responsibility for driving the vehicle, with the batteries becoming completely disconnected from the motor to minimize the change of their becoming damaged. As a side effect of the small generator size necessary to fit in the vehicle, this means that when the generator is active, the vehicle is limited to only approximately 6mph. Towards the end of the project, it was realized by the design teams that their selected method of reading the battery of state of charge could not function as implemented. The time was too short to repair. The sponsor, in the stopgap measure, suggested a hand switch for the activation and deactivation of the generator. That way, it would ensure that the design was not actually automatic but a feature that could easily be remedied by the design teams in the future. The design teams are glad of their work, since all other systems have already been tested and tried to be confirmed working, the vehicle can indeed run from its batteries or its generator. Keyword: Design teams, electric vehicle, generator, battery heating scheme, heating pads, vehicle circuitry, microcontroller, current relays, temperature sensor, voltage divider, current sensor, battery state of charge, system activation, rewiring circuitry, battery charging system, generator-driven motor, speed limitation (6 mph), manual switch, automatic systems, system troubleshooting, future improvements, stopgap measure, system testing, battery protection, design challenges.
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Kunada, Naga Venkata Siva, Srinivas Satti, Durga Ganesh Vempatapu, and Siva Sai Vihar Pamulaparthi. "Electric Vehicle Batteries and Thermal Management System." International Journal of Innovative Science and Research Technology 7, no. 7 (2022): 739–41. https://doi.org/10.5281/zenodo.6965394.

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Electric vehicle batteries and other energy storage devices are becoming the increasing the popular. Batteries are working with good performance while maintaining cheap cost, multifunctionality, & facility in hybrid electric vehicles due to their inherent characteristics electric vehicle batteries and designing thermal management system their types, and battery types, are discussed in this overview.
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S, Boopathy, Bharathi Priya M, Suruthiksha L, and Nandhini G. "Battery Management System to Find Accurate Timing." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1799–805. http://dx.doi.org/10.22214/ijraset.2023.50487.

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Abstract: Any nation's financial growth is largely determined by its availability of energy. The rapid expansion of the manufacturing, automobile, and residential sectors over the preceding few decades led to an increase in global electricity consumption. For electrical vehicles to be safe, they need a Battery Management System (BMS), which controls the electronics of a chargeable battery. The consumer and the battery are both safeguarded by ensuring that the mobile phone operates within its safe operating parameters. The battery's State of Health (SOH) is displayed on the BMS video display, which also collects data, controls external factors that have an effect on the mobile phone, and balances them to maintain a consistent voltage across all cells. It might have more features and capabilities to provide information about the battery's energy state. The tool can intelligently conserve energy by utilizing these facts. In this project, work was done using a system learning method to find the voltage that was exceeded while the battery was being charged. Because it only has a battery and an electric motor rather than a combustion engine and gas tank, the structure of an electric car is simpler and easier to control at the factor level. Instead of charging the entire battery collection, we will identify the battery that needs to be charged. This will allow us to save you from having to replace dead batteries and may also prevent damage from occurring to them. We can ensure that the batteries are charging and discharging appropriately by anticipating the issue using the available datasets.
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Ameur, Chahinaze, Sanaa Faquir, and Ali Yahyaouy. "Intelligent Optimization And Management System For Renewable Energy Systems Using Multi-Agent." IAES International Journal of Artificial Intelligence (IJ-AI) 8, no. 4 (2019): 352. http://dx.doi.org/10.11591/ijai.v8.i4.pp352-359.

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<p>Hybrid energy systems(HES) using renewable energy sources are an interesting solution for power stand-alone systems. However, the energy management of such systems is very complex. This paper presents a Multi Agent System(MAS) framework applied to manage the flow of energy in a hybrid stand-alone system. The proposed system consists of photovoltaic panels and a wind turbine along with batteries as storage units. The proposed MAS architecture composed of different agents(photovoltaic agent, wind turbine agent, supervisor agent, load controller agent, and storage agent) was developed to manage the flow of energy between the energy resources and the storage units for an isolated house. The agent-approach for HES is explained and the proposed MAS is presented and a simulation model is developed in the java agent development environment(JADE). The system was tested with empty batteries and full batteries and results showed that the system could satisfy the load demand while maintaining the level of the batteries between 30%(minimum discharging rate) and 80%(maximum charging rate).</p>
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Chahinaze, Ameur, Faquir Sanaa, and Yahyaouy Ali. "Intelligent optimization and management system for renewable energy systems using multi-agent." International Journal of Artificial Intelligence (IJ-AI) 8, no. 4 (2019): 352–59. https://doi.org/10.11591/ijai.v8.i4.pp352-359.

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Hybrid energy systems (HES) using renewable energy sources are an interesting solution for power stand-alone systems. However, the energy management of such systems is very complex. This paper presents a Multi Agent System (MAS) framework applied to manage the flow of energy in a hybrid stand-alone system. The proposed system consists of photovoltaic panels and a wind turbine along with batteries as storage units. The proposed MAS architecture composed of different agents (photovoltaic agent, wind turbine agent, supervisor agent, load controller agent, and storage agent) was developed to manage the flow of energy between the energy resources and the storage units for an isolated house. The agent-approach for HES is explained and the proposed MAS is presented and a simulation model is developed in the java agent development environment (JADE). The system was tested with empty batteries and full batteries and results showed that the system could satisfy the load demand while maintaining the level of the batteries between 30% (minimum discharging rate) and 80% (maximum charging rate).
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K G M, Dr Pradeep. "Implementation of Real-Time Battery Monitoring System in Electric Vehicle." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48005.

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Abstract— Modern electronics, electric cars, and renewable energy sources all depend on batteries operating safely and efficiently. In order to monitor and control vital battery properties like voltage, current, temperature, and capacity, this project focusses on creating a Battery Management System (BMS) with an Arduino microcontroller. Battery Management System (BMS) is a key term. Overview One important development to guarantee the safe, effective, and dependable operation of EV batteries is the installation of a real-time battery monitoring system in EVs. Since batteries are an electric vehicle's principal energy source, preserving their condition and functionality is crucial to maximising the vehicle's longevity, safety, and range. To give precise and current information about the battery's condition, a real-time battery monitoring system continuously measures important parameters like voltage, current, temperature, state of charge (SOC), and state of health (SOH). The most popular electrical energy storage component used in EVs is the battery.
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Acosta Calderon, Antonio Carlos, Buck Sin Ng, Elara Rajesh Mohan, and Heng Khai Ng. "Docking System and Power Management for Autonomous Mobile Robots." Applied Mechanics and Materials 590 (June 2014): 407–12. http://dx.doi.org/10.4028/www.scientific.net/amm.590.407.

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Mobile robots’ tasks depends the batteries to supply power. Automated mobile robots should manage its power to maximize the battery performance. Docking and recharging are crucial abilities to ensure the performance of the power system. This paper presents a complete solution for a power system to address the problem of power management and autonomously recharging of batteries for a mobile robot. The main two aspects in this solution are the power management including charging of the batteries and the docking system are described in detail. The paper presents results that shown the feasibility of the proposed docking station for autonomous recharging. A comparison of different batteries tested in this project is also presented in the paper.
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Fahmi, Muhamad Aqil Muqri Muhamad, Siti Hajar Yusoff, Teddy Surya Gunawan, Suriza Ahmad Zabidi, and Mohd Shahrin Abu Hanifah. "Battery management system employing passive control method." International Journal of Power Electronics and Drive Systems (IJPEDS) 16, no. 1 (2025): 35. https://doi.org/10.11591/ijpeds.v16.i1.pp35-44.

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A battery management system (BMS) is essential for maintaining peak efficiency and longevity of rechargeable batteries. Conventional battery management system techniques often struggle to monitor, protect, and particularly have difficulties in balancing batteries. The project proposed has introduced a battery management system that employs passive control techniques to address excess energy and overcome these challenges. In the proposed design, a shunt resistor dissipates surplus energy from lithium-ion battery cells into heat following the proposed BMS design. This passive control technique is economically efficient, uncomplicated, and does not require an external power source. A prototype of the proposed BMS design was tested and was able to accurately monitor the battery, dissipate excess energy, and protect the battery while maintaining the cell charge balance. These findings suggest that the proposed BMS has the potential to improve both the effectiveness and longevity of rechargeable batteries.
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Dissertations / Theses on the topic "Batteries management system"

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Rahman, Asgar. "The optimal reverse logistics network for consumer batteries in North America." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/90702.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 79-81).<br>The recycling of household consumer batteries is gaining legislative support throughout North America. The intent of this thesis document is to provide a broad overview of the current North American reverse logistics network for consumer batteries. Topics discussed include the viability of recycling for particular battery chemistries, collection methods, recycling methods, the current legislative environment, and the incentives to participate in the reverse logistics network for the various stakeholders identified. This document culminates in the explicit high-level definition of the available reverse logistics networks and the execution of a global warming potential analysis for each network. It is shown that, of the two available reverse logistics networks, in terms of kg C02 equivalents generated per metric ton of batteries processed one network is approximately double the environmental impact of the other. However, despite the magnitude of this difference, in an overall context this difference may not outweigh other factors for consideration. These other factors include cost, materials recovered, and overall environmental impact which would consider ecosystem quality and human health. This research was conducted using available public information as well as interviews with key individuals who are directly participating in the reverse supply chains.<br>prepared by Asgar Rahman.<br>S.M. in Engineering and Management
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Ali, Haider Adel Ali, and Ziad Namir Abdeljawad. "THERMAL MANAGEMENT TECHNOLOGIES OF LITHIUM-ION BATTERIES APPLIED FOR STATIONARY ENERGY STORAGE SYSTEMS : Investigation on the thermal behavior of Lithium-ion batteries." Thesis, Mälardalens högskola, Akademin för ekonomi, samhälle och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-48904.

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Batteries are promising sources of green and sustainable energy that have been widely used in various applications. Lithium-ion batteries (LIBs) have an important role in the energy storage sector due to its high specific energy and energy density relative to other rechargeable batteries. The main challenges for keeping the LIBs to work under safe conditions, and at high performance are strongly related to the battery thermal management. In this study, a critical literature review is first carried out to present the technology development status of the battery thermal management system (BTMS) based on air and liquid cooling for the application of battery energy storage systems (BESS). It was found that more attention has paid to the BTMS for electrical vehicle (EV) applications than for stationary BESS. Even though the active forced air cooling is the most commonly used method for stationary BESS, limited technical information is available. Liquid cooling has widely been used in EV applications with different system configurations and cooling patterns; nevertheless, the application for BESS is hard to find in literature.To ensure and analyze the performance of air and liquid cooling system, a battery and thermal model developed to be used for modeling of BTMS. The models are based on the car company BMW EV battery pack, which using Nickel Manganese Cobalt Oxide (NMC) prismatic lithium-ion cell. Both air and liquid cooling have been studied to evaluate the thermal performance of LIBs under the two cooling systems.According to the result, the air and liquid cooling are capable of maintaining BESS under safe operation conditions, but with considering some limits. The air-cooling is more suitable for low surrounding temperature or at low charging/discharge rate (C-rate), while liquid cooling enables BESS to operate at higher C-rates and higher surrounding temperatures. However, the requirement on the maximum temperature difference within a cell will limits the application of liquid cooling in some discharge cases at high C-rate. Finally, this work suggests that specific attention should be paid to the pack design. The design of the BMW pack is compact, which makes the air-cooling performance less efficient because of the air circulation inside the pack is low and liquid cooling is more suitable for this type of compact battery pack.
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Kloeblen, Arne. "Construction and integration of a battery pack and management system into a solar car." Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1018654.

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In today’s world, we have reached the point where conventional energy forms are inevitably running out. At the same time, the technology for alternative energy harnessing is improving with big steps, especially with society rethinking their high consumption of finite energy and material. This opens the opportunity und increases acceptance for projects and research to prove its actual implementation and to push the boundaries of current technology further.One particular area of application is the automotive sector showcasing raise of costs due to depleting fuel. Solar powered cars are raising interest as it could be a way to complete independence of any resource that has to be produced, mined or in any way transported to the place of consumption. Involvement with the view to enhance their research in this field has become interesting for universities.With solar powered cars, new problems emerge, amongst others the amount of harnessed sun power and the storage to have it available at the point of use. Due to the low energy available, energy storage as light and as efficient as possible is needed. A system is required that allows to be operated independently of its surrounding in a way it is controllable.Lithium-ion based batteries were seen as the most applicable way to execute this, as they give the highest energy density with lower losses than stable, commercially available energy storage mediums.It was decided to design, build and integrate a battery system with its safety circuit into a solar car. After material selection suppliers were searched and contacted. With the successful manufacturing of this system combining different processing methods, partially at university and partially in the industry, the project included a monitoring and management system and protective measures. It was implemented so that neither the limitations of the chemistry and the physical cells nor the vibration occurring while driving the car prevents its proper use. Besides this, communication and dimensions to operate within the car followed, allowing the driver and convoy to access information and control the system.This battery system proved to be practical in street use comparable with that of regular cars and posed as a safe and effective energy supply for an electrically driven car, meeting the given demands.
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Yang, Feng. "An agent-based approach to battery management system with balancing and fault-tolerance capabilities." Thesis, Bourgogne Franche-Comté, 2017. http://www.theses.fr/2017UBFCA005.

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Les avancées scientifiques et technologiques en matière de stockage d'énergie ont permis le développement d'appareils mobiles énergétiquement autonomes, tels que les smartphones et les véhicules électriques (EVs). Dans ces dispositifs, l'énergie est habituellement stockée sous forme électrochimique, souvent dans des batteries au lithium.Par rapport aux batteries au plomb classiques, les piles au lithium ont une densité d'énergie élevée, un faible taux d'auto-décharge et sont plus respectueuses de l'environnement. Cependant, ces batteries doivent être couplées avec des systèmes électroniques de gestion des batteries (SGBs), chargés d'en assurer la performance etla sécurité. En effet, la performance du « pack » batterie peut être affectée par de multiples mécanismes liés, par exemple, au vieillissement, aux défauts ou aux conditions de fonctionnement et ayant pour impact une réduction importante de l'autonomie du système. Grâce à un contrôle approprié de la structure de la batterie, un SGB est capable de compenser certains de ces mécanismes. De même, d'un point de vue sécurité, un SGB peut aider à prévenir les incendies et d'autres risques en isolant les éléments défectueux du reste du pack.Le sujet de cette thèse porte sur le développement d'un SGB innovant et adaptatif capable de prendre en compte des attentes des utilisateurs en matière de performance et de sécurité. Le SGB proposé s'appuie sur un mécanisme décisionnel distribué basé sur le paradigme des systèmes multi-agents (SMA), dans lequel chaque cellule est considérée comme un agent. Le mécanisme décisionnel proposé repose sur une topologie de câblage dédiée associée à des stratégies de communication et de contrôle adaptées. L'approche proposée améliore l'adaptabilité, la résilience et les performances du système et permet la reconfiguration de la topologie du paquet pour isoler des cellules défectueuses et, le cas échéant, utiliser des cellules de rechange pour recréer une structure de paquets complète ou équilibrer l'énergie entre les cellules. Le SGB permet ainsi une meilleure tolérance aux pannes de l'ensemble, ainsi que l'augmentation de son endurance démontrant ainsi une performance plus élevée que celle obtenu par des SGB classiques.Afin d'évaluer la validité des travaux proposés, une plate-forme de co-simulation est développée afin de valider expérimentalement la solution proposée. Trois catégories des tests ont été réalisées pour valider la fonction d'équilibrage des cellules, la fonction de tolérance aux pannes, et l'intégration de ces deux fonctions dans un système unique. Les tests ont également été exécutés avec un pack batterie de grande taille afin d'évaluer l'évolutivité de l'approche. Les résultats des simulations montrent que la méthode proposée est opérationnelle et fonctionne comme prévu. Bien que les coûts attendus soient plus élevés que pour les méthodes traditionnelles, l'approche proposée pourrait être utilisée pour des applications spécifiques où une fiabilité et une performance élevées sont nécessaires, comme pour les applications militaires par exemple<br>Progress in energy storage science and technology enables the development of mobile devices, such as smart-phones and electric vehicles (EVs). In these devices, energy is usually stored in electrochemical form, often in lithium-based batteries.Compared to classical lead-acid batteries, lithium batteries have a high-energy density, a low self-discharge rate and are environmental friendly. However, such batteries must be coupled with electronic Battery Management Systems (BMSs), aimed at ensuring the performance and the safety of the battery pack. The performance of the pack may be affected by multiple mechanisms, for example related to aging, faults, or operation conditions. Through appropriate control of the battery pack structure, a BMS is capable of compensating some of these mechanisms. Similarly, a BMS can help prevent fires and other risk hazards by isolating problematic portions of the pack.This thesis is concerned with the development of a novel and smart BMS, taking into account the concerns of users about performance and safety. The proposed BMS is made of distributed decision-making based on a multi-agent system, in which each cell is considered as an agent. A dedicated pack wiring topology is presented, together with the corresponding communication and control strategies. This approach improves the adaptability, resilience and performance of system, and enables the reconfiguration of the pack topology to either isolate cells and use spare cells to recreate a complete pack structure, or balance energy among cells. The BMS thus enables a better fault-tolerant operation of the pack, as well as increasing its endurance through a higher performance, compared to classical BMSs.In order to evaluate the validity of the proposed work, a co-simulation platform is developed to run multiple tests. Three categories of tests are used to validate the cell balancing function, the fault-tolerant control function, and the integration of both balancing and fault-tolerant functions in a single system. Tests are also run on a larger pack to evaluate the scalability of the approach. Simulation results show that the proposed method is operational and performs as expected. Although the expected costs are higher than those of traditional methods, the results of this work could benefit specific applications where high reliability and performance are required, such as military applications for instance
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Svensson, Henrik. "Pre-Study for a Battery Storage for a Kinetic Energy Storage System." Thesis, Uppsala universitet, Elektricitetslära, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-249173.

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This bachelor thesis investigates what kind of battery system that is suitable for an electric driveline equipped with a mechanical fly wheel, focusing on a battery with high specific energy capacity. Basic battery theory such as the principle of an electrochemical cell, limitations and C-rate is explained as well as the different major battery systems that are available. Primary and secondary cells are discussed, including the major secondary chemistries such as lead acid, nickel cadmium (NiCd), nickel metal hydride (NiMH) and lithium ion (Li-ion). The different types of Li-ion chemistries are investigated, explained and compared against each other as well as other battery technologies. The need for more complex protection circuitry for Li-ion batteries is included in the comparison. Request for quotations are made to battery system manufacturers and evaluated. The result of the research is that the Li-ion NMC energy cell is the best alternative, even if the cost per cell is the most expensive compared to other major technologies. Due to the budget, the LiFeMnPO4 chemistry is used in the realisation of the final system, which is scaled down with consideration to the power requirement.
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Annavajjula, Vamsi Krishna. "A FAILURE ACCOMMODATING BATTERY MANAGEMENT SYSTEM WITH INDIVIDUAL CELL EQUALIZERS AND STATE OF CHARGE OBSERVERS." University of Akron / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=akron1190318540.

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McLandrich, Andrew M. "Sensorless Control of a Bidirectional Boost Converter for a Fuel Cell Energy Management System." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/34553.

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Fuel cells have the potential to provide clean power for a variety of uses including stand-alone residential power. But to increase the acceptance of fuel cells for off-grid generation, the cost of the energy management system must be greatly reduced. Of the many ways to accomplish this, this paper looks at reducing cost through topology changes and elimination of current sensors. A dual 2.5kW non-isolated bidirectional boost converter is designed and analyzed. The various bidirectional boost topologies are compared on cost and ability to meet the specifications. A sensorless average current mode is designed, implemented and verified through testing in a low-cost fixed-point DSP. Both boost and buck modes are accurately modeled and voltage and current controllers are designed for good closed-loop response. The accuracy of the sensorless average current measurement is investigated in both modes of operation. A classical dual-loop controller is implemented in boost mode with the sensorless average current and in buck mode, a dual controller operating in either current or voltage mode is implemented. The design is verified through testing in boost and buck mode and it is shown that the results are acceptable.<br>Master of Science
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Kircheva, Nina. "Contribution de l'émission acoustique pour la gestion et la sécurité des batteries Li-ion." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00960011.

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L'objectif de cette thèse est de démontrer que l'Emission Acoustique (AE) est une technique appropriée pour devenir un outil de diagnostic de l'état de charge, de santé et de sécurité pour les batteries lithium-ion. Ces questions sont actuellement des points clés important pour l'amélioration des performances et des durées de vie de la technologie. La structure de ce document est organisée en deux principaux chapitres expérimetaux l'un consacré à deséléments lithium-ion composés de composés d'intercalation et l'autre à desalliages de lithium.Dans le premier cas, les résultats présentés concernent le suivi par AE de la formation de la SEI et de la première intercalation des ions lithium dans la structure du graphite pour des éléments LiFePO4/C. Les événements AE provenant de plusieurs sources ont été identifiés et correspondent à la formation de gaz (bulles) et à des phénomènes de craquelures (ouvertures du bord des plans de graphène quand la SEI est formée et l'écartement quand les stades d'insertion du graphite-lithium sont finis). De plus, une étude par spectroscopie d'impédance a été menée durant un vieillissement calendaire en température sur des éléments formés à différents régimes de courant. Dans le second cas, le mécanisme d'insertion/extraction du lithium dans des éléments LiAl/LiMnO2 a été étudié en associant plusieurs techniques incluant des techniques électrochimiques, AE et post-mortem pour évaluer les mécanismes de dégradation. Lors du cyclage, les événements acoustiques sont plus intenses lors du processus de décharge et ils peuvent être attribués principalement à l'alliage avec la transformation de phase de -LiAl en -LiAl accompagnée d'une expansion volumique importante. L'émission acoustique peut ainsi offrir une nouvelle approche pour gérer le fonctionnement des technologies lithium-ion basées non plus seulement sur des paramètres électrochimiques classiques mais aussi sur des paramètres acoustiques. Des nouveaux d'états de santé et de sécurité peuvent ainsi être envisagés.
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Renaudineau, Hugues. "Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis." Thesis, Université de Lorraine, 2013. http://www.theses.fr/2013LORR0336/document.

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Cette thèse a pour but le développement d'une source photovoltaïque autonome ayant des capacités d'auto-diagnostic. Un structure d'hybridation spécifique est proposée consistant en une hybridation DC de sources photovoltaïques, d'une batterie au lithium et de supercondensateurs. Des modèles dynamiques des convertisseurs boost conventionnels et de leur variante avec isolation galvanique sont proposés. Un observateur d'état est ensuite présenté pour estimer en ligne les différents paramètres représentant les pertes des convertisseurs. On montre qu'il est possible d'utiliser ces paramètres estimés pour la gestion de l'énergie dans le système, avec en particulier l'optimisation du rendement de structures parallèles. L'optimisation des sources photovoltaïques est aussi étudiée avec une attention particulière accordée aux phénomènes d'ombrage partiel et le design d'un algorithme de maximisation de la puissance produite (MPPT) dans le cas d'une architecture distribuée série. De part une architecture de puissance spécifique, on propose aussi une méthode d'estimation de l'état de santé (SOH) de la batterie qui est validée sur des cellules de batterie Li - ion et LiFePO4. On montre que le convertisseur Cuk isolé avec inductances couplées est parfaitement adapté pour faire du diagnostic en ligne sur les batteries par injection de courant. Enfin, un schéma de gestion de l'énergie global est proposé, et on vérifie le bon fonctionnement de l'ensemble de la source hybride proposée<br>This thesis interested on developing a stand-alone photovoltaic system with self-diagnosis possibility. A specific structure has been proposed consisting in a DC hybridization of photovoltaic sources, a Lithium-based battery and supercapacitors. Dynamics models of the boost converter and the current-fed dual-bridge DC-DC converter are proposed and an efficient state observer is proposed to estimate the models equivalent losses' parameters online. It is shown that the estimated parameters can be used in the energy management scheme, with in particular optimisation of the efficiency of paralleled structures. The photovoltaic source optimization is also studied with special attention on shading phenomenon and design of MPPT technique especially on the case of distributed series architecture. Through a specific hybridization structure, State-Of-Health estimation is tested on Li-ion and LiFePO4 batteries. It is shown that the isolated coupled-inductors Cuk converter is very efficient for battery estimation through current injection. Finally, a global energy management scheme is proposed, and the developed stand-alone photovoltaic system is validated to operate as supposed
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Hémery, Charles-Victor. "Etudes des phénomènes thermiques dans les batteries Li-ion." Phd thesis, Université de Grenoble, 2013. http://tel.archives-ouvertes.fr/tel-00968666.

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Les travaux présentés dans cette thèse concernent l'étude thermique des batteries Li-ion en vue d'une application de gestion thermique pour l'automobile. La compréhension des phénomènes thermiques à l'échelle accumulateur est indispensable avant de réaliser une approche de type module ou pack batterie. Ces phénomènes thermiques sont mis en évidence à partir d'une modélisation thermique globale de deux accumulateurs de différentes chimies, en décharge à courant constant. La complexité du caractère résistif de l'accumulateur Li-ion a mené au développement d'un modèle prenant en compte l'interaction entre les phénomènes électrochimiques et thermiques, permettant une approche prédictive de son comportement. Enfin la réalisation de deux boucles expérimentales, de simulation de systèmes de gestion thermique d'un module de batterie, montre les limites d'un refroidissement classique par air à respecter les critères de management thermique. En comparaison, le second système basé sur l'intégration innovante d'un matériau à changement de phase (MCP) se montre performant lors de situations usuelles, de défauts ou encore lors du besoin d'une charge rapide de la batterie.
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Books on the topic "Batteries management system"

1

Plett, Gregory L. Battery management systems: Battery modeling. Artech House, 2015.

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Ashekele, Hina Mu. Business potentials and management systems at AccuPower Pilot Sites: Socio-economic and engineering evaluations of a deep dischargeable battery operation : summary and recommendations of survey reports for the Ministry of Mines and Energy of the Republic of Namibia. Engineering Science & Technology Division, Multidisciplinary Research and Consultancy Centre, UNAM, 2000.

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INCOBAT - Innovative Cost Efficient Management System for Next Generation High Voltage Batteries. River Publishers, 2017.

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Armengaud, Eric, Riccardo Groppo, and Sven Rzepka. Incobat: Innovative Cost Efficient Management System for Next Generation High Voltage Batteries. River Publishers, 2022.

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Armengaud, Eric, Riccardo Groppo, and Sven Rzepka. Incobat: Innovative Cost Efficient Management System for Next Generation High Voltage Batteries. River Publishers, 2022.

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Armengaud, Eric, Riccardo Groppo, and Sven Rzepka. INCOBAT: Innovative Cost Efficient Management System for Next Generation High Voltage Batteries. River Publishers, 2017.

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Armengaud, Eric, Riccardo Groppo, and Sven Rzepka. Incobat: Innovative Cost Efficient Management System for Next Generation High Voltage Batteries. River Publishers, 2022.

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Vītols, Kristaps. Research and Development of Battery Packs and their Balancing Methods for Personal Mobility Vehicles. RTU Press, 2022. http://dx.doi.org/10.7250/9789934227660.

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The Thesis is devoted to research and development of lithium-ion battery packs and their cell balancing methods for personal mobility vehicles. Research literature on commercial electric vehicles and both battery managements systems and battery cell balancing has been analyzed. Multiple batteries and management systems have been developed for an electric kart and a power-assist wheelchair. A novel two-layer balancing system, which combines two different methods, has been developed and experimentally verified.
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Bergveld, Henk Jan, Valer Pop, and Dmitry Danilov. Battery Management Systems. Springer, 2008.

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Advances in Battery Manufacturing, Service, and Management Systems. Wiley-Interscience, 2016.

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Book chapters on the topic "Batteries management system"

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Dorn, Roland, Reiner Schwartz, and Bjoern Steurich. "Battery management system." In Lithium-Ion Batteries: Basics and Applications. Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-53071-9_14.

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Sandrini, Giulia, Daniel Chindamo, Marco Gadola, Andrea Candela, and Paolo Magri. "Primary and Secondary Vehicle Lightweighting Achieved by Acting on the Battery Thermal Management System." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70392-8_44.

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AbstractGlobal warming and air pollution are the main factors influencing international, national, and local strategies for the transition towards clean technologies to reduce polluting and climate-altering emissions. A further reduction of the latter can be achieved, with the same powertrain technology, by reducing vehicle consumption. One technique is to lighten the vehicle. The goal of this feasibility study is to act on the battery thermal management system to achieve vehicle lightweighting. Specifically, a sedan car with active-cooled batteries was considered as a reference case, and primary lightweighting was achieved through the use of passive cooling methods, i.e., air and Phase Change Material (PCM) cooling systems, followed by secondary lightweighting to re-establish the target range of the reference vehicle by downsizing the batteries. The air-cooled system leads to greater lightweighting, but its field of application is limited to vehicles operating in fleets; this obstacle can be overcome by using a PCM.
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Yadav, Shubham, Bhavna Jangid, Chandra Prakash, et al. "Benefits of Decentralized Residential Batteries for System-Level Energy Management." In Battery-Integrated Residential Energy Systems. CRC Press, 2024. http://dx.doi.org/10.1201/9781003441236-9.

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Garbuglia, Federico, Matteo Unterhorst, Luca Buccolini, Simone Orcioni, and Massimo Conti. "Experimental Analysis of Battery Management System Algorithms of Li-ion Batteries." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11973-7_26.

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Neto, João L., Marco Silva, and Paulo G. Pereirinha. "Development of a Battery Management System for Electric Vehicle’s Batteries Reuse." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33979-0_9.

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Armengaud, Eric, Riccardo Groppo, and Sven Rzepka. "INnovative COst efficient management system for next generation high voltage BATteries (INCOBAT)." In INCOBAT. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338529-2.

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Goud, J. Saikrishna, and R. Kalpana. "A Complete Battery Management System of Li-Ion Batteries in Electric Vehicle Applications." In Distributed Energy Systems. CRC Press, 2022. http://dx.doi.org/10.1201/9781003229124-14.

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Zhang, Dongjie, Lin Hu, Qingtao Tian, and Changfu Zou. "A Research of Different Energy Management Strategies of Lithium-ion Battery-Ultracapacitor Hybrid Energy Storage System." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_87.

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AbstractGiven the exacerbating effect of fossil fuel use in conventional vehicles on the greenhouse effect, the imperative development of electric vehicle technology becomes evident. To address the high energy and power density demands of electric vehicles, a lithium-ion battery-ultracapacitor hybrid energy storage system proves effective. This study, utilizing ADVISOR and Matlab/Simulink, employs an electric vehicle prototype for modeling and simulating both logic threshold and fuzzy logic control strategies. It aims to analyze the average output power and state of charge (SOC) of the lithium-ion battery, as well as the SOC of the ultracapacitor, within hybrid energy storage systems governed by these differing strategies. The findings indicate that the fuzzy logic control strategy results in a reduction of 2.73 kW in the average output power of the lithium-ion battery and a 20% increase in the SOC drop rate of the ultracapacitor compared to the logic threshold control strategy. Under the logic threshold control strategy, lithium-ion batteries demonstrate superior output stability, albeit within a broader amplitude range. Conversely, the fuzzy logic control strategy maximizes the utilization of ultracapacitors but leads to frequent fluctuations in the output power of lithium-ion batteries, thereby exhibiting reduced stability. These results underscore the inherent trade-offs between stability and utilization efficiency in hybrid energy storage systems for electric vehicles under different control strategies. The selection of a control strategy should be contingent upon specific performance priorities and objectives within the context of electric vehicle design and operation.
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Ponce-Cueto, Eva, and José A. González-Manteca. "Impact of Emerging Environmental Regulations on the Reverse Logistics System for Portable Batteries in Spain." In Environmental Issues in Supply Chain Management. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-23562-7_9.

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Langheim, Jochen, Soufiane Carcaillet, Philippe Cavro, et al. "SMART-LIC—Smart and Compact Battery Management System Module for Integration into Lithium-Ion Cell for Fully Electric Vehicles." In Electric Vehicle Batteries: Moving from Research towards Innovation. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12706-4_8.

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Conference papers on the topic "Batteries management system"

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Yan, Shuai, Xiaomin Cong, and Linshuang Zhao. "Optimization Design Study of Thermal Management System for Lithiumion Batteries." In 2024 6th International Conference on Electronic Engineering and Informatics (EEI). IEEE, 2024. http://dx.doi.org/10.1109/eei63073.2024.10696393.

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Boudjerda, Tarek, Sofia Lalouni Belaid, and Salah Tamalouzt. "Fuzzy energy management for a standalone Photovoltaic/ batteries/ load System." In 2024 International Conference on Advances in Electrical and Communication Technologies (ICAECOT). IEEE, 2024. https://doi.org/10.1109/icaecot62402.2024.10829211.

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Wang, Hetong, Hongyue Dai, Hui Liao, and Jinwei Huang. "Research and Design of Centralized Management System for Rail Transit Batteries." In 2024 4th International Conference on New Energy and Power Engineering (ICNEPE). IEEE, 2024. https://doi.org/10.1109/icnepe64067.2024.10860589.

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Kordrajabi, Moein, and Alireza Zakariazadeh. "Enhancing Distribution System Resilience: A Comparative Study of Batteries and Hydrogen Energy Storage Systems." In 2024 9th International Conference on Technology and Energy Management (ICTEM). IEEE, 2024. http://dx.doi.org/10.1109/ictem60690.2024.10631910.

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Zhou, Shusen, Yaomin Cai, Ying Xiang, and Qingbo Peng. "Performance Study of the Direct Cooling Thermal Management System for Blade Batteries." In 2024 The 9th International Conference on Power and Renewable Energy (ICPRE). IEEE, 2024. https://doi.org/10.1109/icpre62586.2024.10768292.

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Thombare, Shreyas, and Trupti Dhanadhya. "Intelligent Thermal Management of Electric Vehicle Batteries Using Controlled Liquid Immersion Cooling System." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10985076.

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Xu, Wantong, Yingshun Li, and Bin Yang. "Prediction for Remaining Useful Life of Lithium-ion Batteries Based on NGO-VMD and LSTM." In 2024 Prognostics and System Health Management Conference (PHM). IEEE, 2024. http://dx.doi.org/10.1109/phm61473.2024.00013.

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STREJOIU, Cristian-Valentin, Mohammed Gmal OSMAN, Corel PANAIT, Alexandra Catalina LAZAROIU, and Ofelia SIMA. "STORAGE SYSTEM TOPOLOGIES FOR VARIOUS RENEWABLE ENERGY SOURCES." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s16.08.

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Hybrid electricity storage systems are becoming essential for efficiently managing renewable energy sources and enhancing the stability of power grids. As the adoption of renewables expands, these systems are crucial for balancing supply and demand, mitigating intermittency issues, and ensuring grid reliability. This paper offers an in-depth review of different system configurations used in hybrid storage systems, emphasizing the significance of understanding and optimizing their intricate designs. Recent technological advancements have paved the way for the development of innovative storage system topologies, including redox flow batteries, solid-state lithium-ion batteries, and supercapacitor-based systems. Each of these technologies presents distinct advantages: redox flow batteries are notable for their scalability and extended cycle life, solid-state lithium-ion batteries provide high energy density and enhanced safety, while supercapacitors excel in applications requiring fast charging and discharging. Nonetheless, these innovations also face challenges, such as the high costs and manufacturing complexities of solid-state lithium-ion batteries, as well as the lower energy density characteristic of supercapacitors. Evaluating the advantages and limitations of these advanced topologies is critical for guiding future research and development. The strategic integration of these technologies can result in more resilient, efficient, and cost-effective hybrid storage systems. This evolution is essential for supporting the global shift towards sustainable energy, ensuring that hybrid systems not only meet current demands but also pave the way for future innovations in renewable energy management.
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Krishna, T. Murali, Issam Trrad, Cholleti Harish, et al. "Efficient Energy Management Algorithm for Single Stage SPV Based Water Pumping System Without Batteries." In 2024 International Conference on Sustainable Power & Energy (ICSPE). IEEE, 2024. https://doi.org/10.1109/icspe62629.2024.10924376.

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Siddula, Sundeep, Gundi Ice, Shanigarapu Sanjay, and Thatikonda Jayakrishna. "Advancing Hybrid Electric Vehicles Energy Management System with Integrated Fuel Cells, Batteries and Ultracapacitors." In 2025 International Conference on Next Generation Communication & Information Processing (INCIP). IEEE, 2025. https://doi.org/10.1109/incip64058.2025.11018930.

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Reports on the topic "Batteries management system"

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Yang, Yu, Hen-Geul Yeh, and Cesar Ortiz. Battery Management System Development for Electric Vehicles and Fast Charging Infrastructure Improvement. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2325.

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The electric vehicle (EV) has become increasingly popular due to its being zero-emission. However, a significant challenge faced by EV drivers is the range anxiety associated with battery usage. Addressing this concern, this project develops a more efficient battery management system (BMS) for electric vehicles based on a real-time, state-of-charge (SOC) estimation. The proposed study delivers three modules: (1) a new equivalent circuit model (ECM) for lithium-ion batteries, (2) a new SOC estimator based on the moving horizon method, and (3) an on-board FPGA implementation of the classical Coulomb counting method for SOC estimation. The research team extends the traditional ECM by incorporating more functional features through the least absolute shrinkage and selection operator (LASSO). Then the first-order transfer function model identification and LASSO are iteratively executed to minimize the data fitting error. Given this model, the research team employs the moving horizon estimator (MHE) to determine the SOC by fitting the measured terminal voltage. Subsequently, the research team implements the SOC estimation scheme on an FPGA board. This hardware-in-the-loop simulation is demonstrated in this report step by step. The proposed research has broad societal impacts. It aligns with SB1 objectives in several ways. First, EVs with a more efficient BMS can improve their cruise range, reducing energy consumption and traffic congestion. Second, the resulting BMS can be applied in the solar-power and battery-assisted charging stations to make more reliable infrastructure in an age of sustainable transportation.
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Yang, Yu, Hen-Geul Yeh, and Bryan Aguirre. Fuel Cell System Development for Heavy Duty Vehicles. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2441.

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As California advances its ambitious goals for transportation electrification to combat climate change, hydrogen-powered fuel cells are emerging as a viable solution for overcoming the challenges of heavy-duty vehicles, offering an efficient alternative to lithium-ion batteries because they produce minimal chemical, thermal, and carbon emissions. One type of hydrogen fuel cell technology called proton exchange membrane fuel cells (PEMFCs) has garnered the most attention due to its distinct advantages, including relatively low operating temperatures (60–80 °C) and reliable performance at high current densities. However, despite their promise, PEMFCs face challenges, including in optimizing stack power output and safety concerns. To tackle these issues, accurate modeling and control strategies are essential. This study focuses on using data-driven modeling (specifically using a process known as “closed-loop system identification” under proportional controller and pseudo-random binary sequence excitation methods) to better understand and manage PEMFC systems. Various transfer functions models were analyzed, including first-order, first-order plus time delay, second-order, and second-order plus time delay models. The resulting closed-loop identification approach was applied on the humidifier, cooling, and oxygen supplier subsystems of simulated PEMFC to build their models under controlled operations. The results of this study highlight the potential of closed-loop system identification techniques to improve fuel cell vehicle performance in power supply, water, and heat management, without interrupting PEMFC operations. These findings demonstrate the significance of precise modeling as a cornerstone for advancing PEMFC control strategies and optimizing their application in renewable transportation and a more sustainable future.
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Adams, Sophie, Lisa Diamond, Tara Esterl, et al. Social License to Automate: Emerging Approaches to Demand Side Management. IEA User-Centred Energy Systems Technology Collaboration Programme, 2021. http://dx.doi.org/10.47568/4xr122.

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The Social License to Automate Task has investigated the social dimensions of user engagement with automated technologies in energy systems to understand how end-user trust to automate is built and maintained in different jurisdictions and cultural settings. The rapid uptake of renewable energy systems will require new automated technologies to balance energy supplies. Some developers are looking to locate these in households where energy is being used. This saves moving the energy from centralised generation sites (remote hydro, solar or wind). This report details the findings from a 2 year project with 16 researchers in 6 countries, 26 Case studies spanning electric vehicles, home and precinct batteries, air conditioners and other heat pumps.
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Pasupuleti, Murali Krishna. Smart Nanomaterials and AI-Integrated Grids for Sustainable Renewable Energy. National Education Services, 2025. https://doi.org/10.62311/nesx/rr1025.

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Abstract: The transition to sustainable and intelligent renewable energy systems is being driven by advancements in smart nanomaterials and AI-integrated smart grids. Nanotechnology has enabled the development of high-performance energy materials, such as graphene, perovskites, quantum dots, and MXenes, which enhance the efficiency, durability, and scalability of renewable energy solutions. Simultaneously, AI-driven smart grids leverage machine learning, deep learning, and digital twins to optimize energy distribution, predictive maintenance, and real-time load balancing in renewable energy networks. This research explores the synergistic integration of AI and nanomaterials to develop self-regulating, adaptive, and fault-tolerant energy infrastructures. The study examines AI-powered energy storage, decentralized smart microgrids, quantum AI for grid cybersecurity, and blockchain-integrated energy trading. Furthermore, the report assesses global industry adoption, policy frameworks, and economic growth trends, providing a strategic roadmap for the large-scale implementation of AI-enhanced nanomaterial-based energy systems. Through case studies and real-world applications, this research highlights how AI and nanotechnology will drive the next-generation sustainable energy revolution. Keywords Smart nanomaterials, AI-integrated grids, sustainable renewable energy, graphene-based solar cells, perovskite photovoltaics, quantum dots in energy, MXenes for energy storage, AI-driven energy optimization, machine learning for smart grids, deep learning energy forecasting, predictive maintenance in energy grids, digital twins for grid management, AI-powered decentralized microgrids, blockchain energy trading, hydrogen storage nanomaterials, AI-enhanced lithium-ion batteries, reinforcement learning in energy distribution, AI for demand-side energy management, quantum AI for grid cybersecurity, scalable nanomaterial-based energy solutions, AI-driven self-healing energy materials.
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