Relevant bibliographies by topics / IoT connected Battery Management System

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'IoT connected Battery Management System'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "IoT connected Battery Management System"

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Prassanna, Perumal S., P. K. Harish, Roshan E. M. Niths, and Kumar B. Selva. "Black Box based Battery Management System for E-Vehicle using IoT." International Journal of Multidisciplinary Research Transactions 4, no. 6 (2022): 58–74. https://doi.org/10.5281/zenodo.6632566.

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The battery is a fundamental component of electric vehicles, which represent a step forward towards sustainable mobility. Though the electric vehicles are introduced domestically, majority of the global transportation still depends on the IC engine. The transition from the conventional IC engine to E-vehicle is very minimum. The main cause for this minimum transition is the issues created by the batteries in the E-vehicles.  Recently most of the e-vehicle batteries were experiencing the explosion and general failure issue. The general causes for the explosion and failure of battery is cla
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Manu, D., S. G. Shorabh, O. V. Gnana Swathika, S. Umashankar, and P. Tejaswi. "Design and realization of smart energy management system for Standalone PV system." IOP Conference Series: Earth and Environmental Science 1026, no. 1 (2022): 012027. http://dx.doi.org/10.1088/1755-1315/1026/1/012027.

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Abstract The internet connected world demands a need for integrating the renewable energy sources and loads in the microgrid with an energy management system that is capable of monitoring, controlling and conserving energy and at the same time. This paper proposes the idea of an Internet of things (IoT) based smart Energy Management System (EMS) for a Stand-Alone Photovoltaic (SAPV) System, which acts as a closed system where all the power is generated from solar energy and either stored in batteries or utilized within the system. It has various units namely: Energy generation, Energy manageme
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Besher, Kedir Mamo, Juan Ivan Nieto-Hipolito, Raymundo Buenrostro-Mariscal, and Mohammed Zamshed Ali. "Spectrum Based Power Management for Congested IoT Networks." Sensors 21, no. 8 (2021): 2681. http://dx.doi.org/10.3390/s21082681.

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With constantly increasing demand in connected society Internet of Things (IoT) network is frequently becoming congested. IoT sensor devices lose more power while transmitting data through congested IoT networks. Currently, in most scenarios, the distributed IoT devices in use have no effective spectrum based power management, and have no guarantee of a long term battery life while transmitting data through congested IoT networks. This puts user information at risk, which could lead to loss of important information in communication. In this paper, we studied the extra power consumed due to ret
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Angundjaja, Clint Yoannes, Yu Wang, and Wenying Jiang. "Power Management for Connected EVs Using a Fuzzy Logic Controller and Artificial Neural Network." Applied Sciences 12, no. 1 (2021): 52. http://dx.doi.org/10.3390/app12010052.

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In recent years, the electric vehicles (EVs) power management strategy has been developed in order to reduce battery discharging power and fluctuation when an EV requires high and rapid discharging power due to frequent stop-and-go driving operations. A combination of lithium-ion battery and supercapacitor (SC) as the EV’s energy sources, known as a hybrid energy storage system (HESS), is a promising solution for fast discharging conditions. Effective power management to extensively utilize HESS can be developed if future power demand is accessible. A vehicular network as a typical form of the
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Almomani, Ammar, Ahmad Al-Nawasrah, Waleed Alomoush, Mustafa Al-Abweh, Ayat Alrosan, and Brij B. Gupta. "Information Management and IoT Technology for Safety and Security of Smart Home and Farm Systems." Journal of Global Information Management 29, no. 6 (2021): 1–23. http://dx.doi.org/10.4018/jgim.20211101.oa21.

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Information management collects data from several online systems. They analyze the information. They issue reports about information for supporting decision-making management. Utilizing current modern innovations try to controlling many obstacles such as, high cost, high battery power, and speed system, safety System without building a full system to solve all these problems together, we created a new internet of things ( IoT) system that provides attention to safety, and Security with low cost, low battery power, and high-speed System. As for the information management system. This paper aims
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L., Rimon, Safuan Muhammad Khairul, I. Sulaiman S., and M. Omar A. "System protection for Lithium-ion batteries management system: a review." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 3 (2019): 1184–90. https://doi.org/10.11591/ijeecs.v13.i3.pp1184-1190.

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Robustness of a battery management system (BMS) is a crucial issue especially in critical application such as medical or military. Failure of BMS will lead to more serious safety issues such as overheating, overcharging, over discharging, cell unbalance or even fire and explosion. BMS consists of plenty sensitive electronic components and connected directly to battery cell terminal. Consequently, BMS exposed to high voltage potential across the BMS terminal if a faulty cell occurs in a pack of Li-ion battery. Thus, many protection techniques have been proposed since last three decades to prote
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P.T., Aikhoje and O.W. Ofuzim. "Design and Construction of a Remote Battery Monitoring and Control Device Using the Internet of Things (IoT)." Journal of Energy Technology and Environment 5, no. 1 (2023): 26–39. https://doi.org/10.5281/zenodo.7741111.

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<em>The Internet of Things (IoT) has found numerous applications, one of which is in the realm of smart power monitoring and control systems. This work explores the potential of the IoT in designing and constructing a remote battery monitoring and control device. The purpose of the device is to monitor the state of charge (SOC) of the battery and control its charging process remotely, addressing issues of self-discharging and overcharging of deep circuits. The device is designed using a PIC16F887 microcontroller and an A6 GSM/GPRS module, serving as the IoT platform, providing platform-indepen
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Nagendra, M. Bhaskar Sai. "DESIGN OF IOT BASED TRICYCLE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30753.

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The rapid advancement in Internet of Things (IoT) technology has opened up numerous opportunities for innovation across various industries. In the transportation sector, IoT has the potential to revolutionize conventional vehicles into smart, connected modes of transportation. This project focuses on the design of an IoT-based electric tricycle, aimed at providing a sustainable and efficient mode of personal transportation.The electric tricycle integrates IoT technology to enhance its functionality and user experience. Key features include real-time monitoring of vehicle parameters such as spe
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Meri Kishore, Mr U., K. S. .Karthika, A. S. Fasiha, G. Pravallika, and N. Venkata Kishore. "Solar Powered IOT Solution for Smart Farming and Soil Condition." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43767.

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The integration of solar power and the Internet of Things (IoT) in agriculture has the potential to revolutionize traditional farming practices by improving efficiency, productivity, and sustainability. This paper presents a solar-powered IoT solution for smart farming, with a primary focus on real-time soil condition monitoring. The system consists of solar-powered IoT sensors deployed in agricultural fields to measure critical soil parameters, including moisture levels, temperature, pH, and nutrient content. These sensors are connected via a low-power wireless network to transmit data to a c
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Ponnusamy, Vinoth Kumar, Gunapriya Devarajan, Gomathi Easwaram, Geetha Murugesan, Rathinam Marimuthu Sekar, and R. Delshi Howsalya Devi. "Smart hybrid power management system in electric vehicle for efficient resource utilization with ANN." International Journal of Informatics and Communication Technology (IJ-ICT) 14, no. 2 (2025): 488. https://doi.org/10.11591/ijict.v14i2.pp488-496.

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The novel hybrid power system integrating energy storage, electric vehicle (EV) charging infrastructure and renewable energy sources improve sustainability and resilience. This work proposes a power management system controlled by artificial intelligence for EV charging infrastructure. The battery’s state of charge (SoC) is continuously monitored by artificial neural network (ANN) algorithm improves the health of the battery and efficient operation of the system. The buck boost DC-DC converter performs dynamic switching mechanism, which adjusts to changing solar conditions and energy demands,
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Dissertations / Theses on the topic "IoT connected Battery Management System"

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Tran, Ngoc Tham. "On the development of electrochemical-based lithium-ion battery models for battery management systems." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/131138/1/Ngoc%20Tham_Tran_Thesis.pdf.

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The main objective of the thesis is to construct high-performance, reduced order, electrochemical models incorporating thermal and degradation phenomenon that can be used in advanced battery management systems. These models have been developed to be computationally simple, whilst maintaining their ability to accurately represent the major electrochemical and thermodynamical degradation mechanisms of grid-connected lithium ion batteries. The performance of these models is validated numerically by comparing their output with solutions of a more sophisticated (and computationally expensive) pseud
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Theander, Adrian, and Ali Ara. "Assessment of profitability for implementation of IoT-system connected with BIM." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20764.

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BIM som är en arbetsmetodik möjliggör simuleringar av en byggnads energianvändning medtillämpning av tillhörande program som exempelvis IDA ICE och RIUSKA. Efter att få enuppfattning av byggnadens energianvändning ska det vara möjligt för brukarna att vidtaåtgärder i syfte till att effektivisera byggnadens energianvändning.Energieffektivisering i byggnader kan även genomföras med fenomenet IoT. Detta innebär attbyggnader kan ha ingående sensorer som kan kommunicera med varandra men även enheterutanför. Sensorerna ska kunna leverera betydelsefull information för en byggnad som kan skapaunderlag
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Gomez, Fabrizio. "Optimization of a grid connected residential battery storage system in Sweden : Home Energy Management System Approach." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-36927.

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The market for energy production has experienced relevant changes to reach more sustainable characteristics, during the last two decades. In this context, residential photovoltaic (PV) system has gained popularity as a practical and profitable alternative to complement the electric supply from the grid. In the same line, the seasonal and variable nature of PV supply generates an interest in BESS-battery energy storage systems.The aim with this thesis is to investigate HEMS-home energy management system for a residential electricity production using PV and storage in Sweden. HEMS allows residen
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Raffa, Viviana. "Edge/cloud virtualization techniques and resources allocation algorithms for IoT-based smart energy applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22864/.

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Nowadays, the installation of residential battery energy storage (BES) has increased as a consequence of the decrease in the cost of batteries. The coupling of small-scale energy generation (residential PV) and residential BES promotes the integration of microgrids (MG), i.e., clusters of local energy sources, energy storages, and customers which are represented as a single controllable entity. The operations between multiple grid-connected MGs and the distribution network can be coordinated by controlling the power exchange; however, in order to achieve this level of coordination, a co
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Rajapakse, G. "Control and power management of grid connected vented oscillating water column wave energy converter arrays." Thesis, 2021. https://eprints.utas.edu.au/37931/1/Rajapakse_whole_thesis.pdf.

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Wave energy is a vast, sustainable, and low environmental impact renewable energy source with a high degree of predictability and availability at large scale. Over the last six decades, numerous studies have been conducted, and various technologies have been developed to convert wave energy into electricity. Nevertheless, Wave Energy Conversion (WEC) is still not a widespread technology, compared to other dominant renewable energy technologies such as wind and solar. One of the contributing factors for this is the large and periodic fluctuations present in the extracted power in WEC systems. E
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Book chapters on the topic "IoT connected Battery Management System"

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Zhang, Yuanjian, and Zhuoran Hou. "Battery Management System of Electric Vehicle." In Recent Advancements in Connected Autonomous Vehicle Technologies. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5751-2_2.

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Kumari, Prakirty, and Manikant Paswan. "Thermal Management System of Battery Using Nano-coolant." In Advances in IoT and Security with Computational Intelligence. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5085-0_18.

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Suryawanshi, Anuradha, Ashwin Singh, Nidhi Ochani, Vikrant Verma, and Jaiverdhan. "IoT Enabled Battery Management System (BMS) with Active Balancing." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-3523-5_35.

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Gupta, Karan, and Vilas H. Gaidhane. "Smart IOT-Enabled Battery Management System for Electric Vehicle." In Proceedings of International Conference on Communication and Artificial Intelligence. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6546-9_16.

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Nijhawan, Parag, Manish Kumar Singla, and Souvik Ganguli. "Automatic and Efficient IoT-Based Electric Vehicles and Their Battery Management System." In Electrical and Electronic Devices, Circuits and Materials. CRC Press, 2021. http://dx.doi.org/10.1201/9781003097723-12.

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Bouthiba, Y., B. Meghni, B. Benlahbib, and M. Ouada. "Power Management Strategy of a Hybrid PV-Battery System Connected to the Grid." In Lecture Notes in Networks and Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21216-1_68.

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Ajitha, A., and Sudha Radhika. "IoT-Based System for Residential Peak Load Management and Monitoring of Connected Load." In Advances in Systems, Control and Automations. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8685-9_20.

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Kumari, Nibha, Sourabh Ghosh, Asheesh K. Singh, Navneet K. Singh, and S. N. Singh. "Power Management Strategy for Battery-Supercapacitor-Based HESS in a Residential Grid-Connected PV System." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-7630-0_20.

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Fachri, Ridlho Khoirul, Rashad Abul Khayr, Muhammad Zakiyullah Romdlony, Aam Muharam, and Amin. "State of the Art of Battery Swap Station Management System in Indonesia: An IoT-Based Prototype." In Proceedings of the 4th International Conference on Electronics, Biomedical Engineering, and Health Informatics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1463-6_34.

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Elabbassi, Ismail, Naima Elyanboiy, Mohamed Khala, et al. "Adaptive Neural Fuzzy Inference System (ANFIS) in a Grid Connected-Fuel Cell-Electrolyser-Solar PV-Battery-Super Capacitor Energy Storage System Management." In Artificial Intelligence and Smart Environment. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26254-8_21.

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Conference papers on the topic "IoT connected Battery Management System"

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Suman, Subhash, Manoj Singh Adhikari, and Mohit Payal. "EV Battery Management System using IoT." In 2024 International Conference on Smart Devices (ICSD). IEEE, 2024. http://dx.doi.org/10.1109/icsd60021.2024.10750977.

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Kumar, Sanjiv, Ashutosh Yadav, Yuvraj Singh Yadav, Nandini Tandon, Akash, and Kaushal Mathuria. "IoT Based Battery Management System for Electric Vehicle." In 2024 2nd International Conference on Advancements and Key Challenges in Green Energy and Computing (AKGEC). IEEE, 2024. https://doi.org/10.1109/akgec62572.2024.10868732.

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Jadhav, Sachin P., Aabid C. Mulla, Sachin G. Argade, Swapnil S. Jadhav, Dushyant Patil, and Harshal Dattatray Vaidya. "Development of IOT based Battery Management System for EV." In 2024 International Conference on Intelligent Systems and Advanced Applications (ICISAA). IEEE, 2024. https://doi.org/10.1109/icisaa62385.2024.10829029.

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Jude, P. Sebastian Vindro, Mahalakshmi S, Sowbarniha, and Poojasri S. "IoT based Battery Management System and Colling System for Electric Vehicle." In 2025 7th International Conference on Inventive Material Science and Applications (ICIMA). IEEE, 2025. https://doi.org/10.1109/icima64861.2025.11074102.

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Sharma, Anshu, Rajashree Bhokare, and Rutuja Warbhe. "IoT-Based Enhanced Battery Safety and Management System in EV’s." In 2024 International Conference on Intelligent Systems and Advanced Applications (ICISAA). IEEE, 2024. https://doi.org/10.1109/icisaa62385.2024.10829104.

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Mohandass, M. P., Renald Regan T, Vignesh A, and Sabari V. "Battery Thermal Management System for Electric Vehicle Using LABVIEW." In 2024 International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS). IEEE, 2024. https://doi.org/10.1109/icicnis64247.2024.10823360.

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M., Shamila, Phaneendra Babu Bobba, Namala Eshwar, et al. "IoT-based Battery Health Management System for Electric Vehicles: A Predictive Approach." In 2024 IEEE 4th International Conference on Sustainable Energy and Future Electric Transportation (SEFET). IEEE, 2024. http://dx.doi.org/10.1109/sefet61574.2024.10718077.

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Kandil, Sarah, and Fatemeh Marzbani. "An IoT-Enabled System for Optimizing Battery Utilization in Autonomous Electric Vehicles." In 2024 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD). IEEE, 2024. https://doi.org/10.1109/ictmod63116.2024.10878225.

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Sivaprakasam, P., K. Suresh, S. S. Raju, and S. John Powl. "Advanced IoT-Driven Battery Management System for Electric Vehicles Integrated with Renewable Energy." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780282.

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Bhanja, Souvik, Kajal Sinha, Soham Pati, Arpan Majumder, Arunava Mukhopadhyay, and Arindam Chakraborty. "IoT-Enhanced Battery Management System: Real-Time Monitoring, Predictive Analytics and Safety Optimization." In 2025 8th International Conference on Electronics, Materials Engineering & Nano-Technology (IEMENTech). IEEE, 2025. https://doi.org/10.1109/iementech65115.2025.10959344.

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Reports on the topic "IoT connected Battery Management System"

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Farley, Toni, and Will Northrop. Connected Energy Management System to Enable Battery Electric Last-Mile Delivery Vehicles. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1844322.

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