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

Author: Grafiati

Published: 5 June 2025

Last updated: 15 July 2025

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1

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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Sathishkumar, D., and C. Karthikeyan. "Adaptive power management strategy-based optimization and estimation of a renewable energy storage system in stand-alone microgrid with machine learning and data monitoring." International Journal of Wavelets, Multiresolution and Information Processing 18, no. 01 (2019): 1941023. http://dx.doi.org/10.1142/s0219691319410236.

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This work is carried out with the optimum design of a stand-alone hybrid energy storage system (HESS) based on solar, wind and super capacitor (SC) with battery storage system which is effectively optimized in the grid power system. The distribution of the power source is mainly considered on the Hybrid renewable energy power sources. This discourse presents an adaptive power optimizing the three-phase inverter and grid-connected hybrid renewable energy resources efficiently. In this analysis, the similar parameters are taken for the compensation such as voltage fluctuation, harmonics and Freq

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Ianculescu, Marilena, Victor-Ștefan Constantin, Andreea-Maria Gușatu, et al. "Enhancing Connected Health Ecosystems Through IoT-Enabled Monitoring Technologies: A Case Study of the Monit4Healthy System." Sensors 25, no. 7 (2025): 2292. https://doi.org/10.3390/s25072292.

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The Monit4Healthy system is an IoT-enabled health monitoring solution designed to address critical challenges in real-time biomedical signal processing, energy efficiency, and data transmission. The system’s modular design merges wireless communication components alongside a number of physiological sensors, including galvanic skin response, electromyography, photoplethysmography, and EKG, to allow for the remote gathering and evaluation of health information. In order to decrease network load and enable the quick identification of abnormalities, edge computing is used for real-time signal filt

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Kavuş Demir, Elif, Cem Haydaroğlu, Heybet Kılıç, Mustafa Çelikpençe, and Muhammet Mustafa Şahin. "IoT-Driven Monitoring and Optimization of Hybrid Energy Storage Systems with Supercapacitors in Distribution Networks." Turkish Journal of Electrical Power and Energy Systems 5, no. 2 (2025): 86–95. https://doi.org/10.5152/tepes.2025.25017.

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Abstract: The prevailing challenges, namely the escalating energy demand and the integration of renewable resources into the grid, have led to a marked increase in the importance of energy storage systems. This study proposes a novel energy storage system that integrates supercapacitors and Lithium Iron Phosphate (LFP) batteries in a hybrid configuration within the electricity distribution grid. The system’s design incorporates supercapacitors, which are distinguished by their rapid charge-discharge capabilities, to address sudden fluctuations in demand, while batteries are utilized to fulfill

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Ruthwik Turlapati, Rashmitha Chepuri, Anirudh Kondury, and K.Narasimha Rao. "IOT BASED WATER QUALITY MONITORING SYSTEM USING SOLAR POWER AND WIFI." international journal of engineering technology and management sciences 9, no. 2 (2025): 801–9. https://doi.org/10.46647/ijetms.2025.v09i02.102.

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This project focuses on the development of an IoT-based water quality monitoring system that utilizes solar power and WIFI communication to transmit real-time data to a cloud server. The system integrates sensors to measure parameters such as pH, turbidity, temperature, electrical conductivity. These sensors are connected to a microcontroller, which processes the data and transmits it via the WIFI network. The solar panel powers the system, ensuring a sustainable and uninterrupted operation, making it suitable for remote locations where conventional power sources are unavailable. Data transmit

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Roy, Sajib, Md Humayun Kabir, Md Salauddin, and Miah A. Halim. "An Electromagnetic Wind Energy Harvester Based on Rotational Magnet Pole-Pairs for Autonomous IoT Applications." Energies 15, no. 15 (2022): 5725. http://dx.doi.org/10.3390/en15155725.

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In this paper, we report a wind energy harvesting system for Internet of Things (IoT)-based environment monitoring (e.g., temperature and humidity, etc.) for potential agricultural applications. A wind-driven electromagnetic energy harvester using rotational magnet pole-pairs (rotor) with a back-iron shield was designed, analyzed, fabricated, and characterized. Our analysis (via finite element method magnetic simulations) shows that a back-iron shield enhances the magnetic flux density on the front side of a rotor where the series connected coils interact and convert the captured mechanical en

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Jagan, G. C., and P. Jesu Jayarin. "A Novel Machine Language-Driven Data Aggregation Approach to Predict Data Redundancy in IoT-Connected Wireless Sensor Networks." Wireless Communications and Mobile Computing 2022 (October 18, 2022): 1–20. http://dx.doi.org/10.1155/2022/7096561.

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Real world data aggregation and delivery in Internet of Things (IoT) technology are essential to predict and retrieve target data in short time so that the end user feels no delay but ensures a high quality of information. In addition to habitat monitoring and disaster management, these networks have a wide range of other uses, including security and military operations. The processing capabilities of sensor nodes are restricted due to the fact that they have a limited battery life and hence a modest size and processing capacity. WSNs are also susceptible to failure as a result of the limited

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Atiq, Haseeb Ullah, Zulfiqar Ahmad, Sardar Khaliq uz Zaman, Muhammad Amir Khan, Asad Ali Shaikh, and Amal Al-Rasheed. "Reliable Resource Allocation and Management for IoT Transportation Using Fog Computing." Electronics 12, no. 6 (2023): 1452. http://dx.doi.org/10.3390/electronics12061452.

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Resource allocation in smart settings, more specifically in Internet of Things (IoT) transportation, is challenging due to the complexity and dynamic nature of fog computing. The demands of users may alter over time, necessitating more trustworthy resource allocation and administration. Effective resource allocation and management systems must be designed to accommodate changing user needs. Fog devices don’t just run fog-specific software. Resource and link failures could be brought on by the absence of centralised administration, device autonomy, and wireless communication in the fog environm

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Akin-Ponnle, Ajibike Eunice, Felisberto Sequeira Pereira, Raquel Castro Madureira, and Nuno Borges Carvalho. "From Macro to Micro: Impact of Smart Turbine Energy Harvesters (STEH), on Environmental Sustainability and Smart City Automation." Sustainability 14, no. 3 (2022): 1887. http://dx.doi.org/10.3390/su14031887.

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In the digital transition era of scaling down from macro through micro turbine; to the setting up of Smart Turbine Energy Harvesters (STEH), this paper presents Project Management (PM) principles applicable and best practices to meet the increasing energy demand of digitised technology. The massive deployment of autonomous devices such as those for Internet of Things (IoT), for the support of smart cities, has necessitated more research about their energy demands. With the use of ‘waterfall’ Project Management Methodology (PMM), turbine grid-connected energy are classified into different categ

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Al-Atawi, Abdullah A., Saleh Alyahyan, Mohammed Naif Alatawi, et al. "Stress Monitoring Using Machine Learning, IoT and Wearable Sensors." Sensors 23, no. 21 (2023): 8875. http://dx.doi.org/10.3390/s23218875.

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The Internet of Things (IoT) has emerged as a fundamental framework for interconnected device communication, representing a relatively new paradigm and the evolution of the Internet into its next phase. Its significance is pronounced in diverse fields, especially healthcare, where it finds applications in scenarios such as medical service tracking. By analyzing patterns in observed parameters, the anticipation of disease types becomes feasible. Stress monitoring with wearable sensors and the Internet of Things (IoT) is a potential application that can enhance wellness and preventative health m

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Muratoglu, Y., and A. Alkaya. "Unscented Kalman Filter based State of Charge Estimation for the Equalization of Lithium-ion Batteries on Electrical Vehicles." Engineering, Technology & Applied Science Research 9, no. 6 (2019): 4876–82. https://doi.org/10.5281/zenodo.3566118.

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Accurate state of charge estimation and robust cell equalization are vital in optimizing the battery management system and improving energy management in electric vehicles. In this paper, the passive balance control based equalization scheme is proposed using a combined dynamic battery model and the unscented Kalman filter based state of charge estimation. The lithium-ion battery is modeled with a 2nd order Thevenin equivalent circuit. The combined dynamic model of the lithium-ion battery, where the model parameters are estimated depending on the state of charge, and the unscented Kalman filte

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Balasekaran, Gomatheeshwari, Selvakumar Jayakumar, and Rocío Pérez de Prado. "An Intelligent Task Scheduling Mechanism for Autonomous Vehicles via Deep Learning." Energies 14, no. 6 (2021): 1788. http://dx.doi.org/10.3390/en14061788.

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With the rapid development of the Internet of Things (IoT) and artificial intelligence, autonomous vehicles have received much attention in recent years. Safe driving is one of the essential concerns of self-driving cars. The main problem in providing better safe driving requires an efficient inference system for real-time task management and autonomous control. Due to limited battery life and computing power, reducing execution time and resource consumption can be a daunting process. This paper addressed these challenges and developed an intelligent task management system for IoT-based autono

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Gimeno-Sales, Francisco José, Salvador Orts-Grau, Alejandro Escribá-Aparisi, et al. "PV Monitoring System for a Water Pumping Scheme with a Lithium-Ion Battery Using Free Open-Source Software and IoT Technologies." Sustainability 12, no. 24 (2020): 10651. http://dx.doi.org/10.3390/su122410651.

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The development of photovoltaic (PV) technology is now a reality. The inclusion of lithium-ion batteries in grid-connected PV systems is growing, and the sharp drop in prices for these batteries will enable their use in applications such as PV water pumping schemes (PVWPS). A technical solution for the monitoring and tracking of PV systems is shown in this work, and a novel quasi-real-time monitoring system for a PVWPS with a Li-ion battery is proposed in which open-source Internet of Things (IoT) tools are used. The purpose of the monitoring system is to provide a useful tool for the operatio

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Duraisamy, Thiruvonasundari, and Kaliyaperumal Deepa. "Evaluation and Comparative Study of Cell Balancing Methods for Lithium-Ion Batteries Used in Electric Vehicles." International Journal of Renewable Energy Development 10, no. 3 (2021): 471–79. http://dx.doi.org/10.14710/ijred.2021.34484.

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Vehicle manufacturers positioned electric vehicles (EVs) and hybrid electric vehicles (HEVs) as reliable, safe and environmental friendly alternative to traditional fuel based vehicles. Charging EVs using renewable energy resources reduce greenhouse emissions. The Lithium-ion (Li-ion) batteries used in EVs are susceptible to failure due to voltage imbalance when connected to form a pack. Hence, it requires a proper balancing system categorised into passive and active systems based on the working principle. It is the prerogative of a battery management system (BMS) designer to choose an appropr

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Duraisamy, Thiruvonasundari, and Kaliyaperumal Deepa. "Evaluation and Comparative Study of Cell Balancing Methods for Lithium-Ion Batteries Used in Electric Vehicles." International Journal of Renewable Energy Development 10, no. 3 (2021): 471–79. http://dx.doi.org/10.14710/ijred.0.34484.

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Vehicle manufacturers positioned electric vehicles (EVs) and hybrid electric vehicles (HEVs) as reliable, safe and environmental friendly alternative to traditional fuel based vehicles. Charging EVs using renewable energy resources reduce greenhouse emissions. The Lithium-ion (Li-ion) batteries used in EVs are susceptible to failure due to voltage imbalance when connected to form a pack. Hence, it requires a proper balancing system categorised into passive and active systems based on the working principle. It is the prerogative of a battery management system (BMS) designer to choose an appropr

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Van Mierlo, Joeri, Maitane Berecibar, Mohamed El Baghdadi, et al. "Beyond the State of the Art of Electric Vehicles: A Fact-Based Paper of the Current and Prospective Electric Vehicle Technologies." World Electric Vehicle Journal 12, no. 1 (2021): 20. http://dx.doi.org/10.3390/wevj12010020.

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Today, there are many recent developments that focus on improving the electric vehicles and their components, particularly regarding advances in batteries, energy management systems, autonomous features and charging infrastructure. This plays an important role in developing next electric vehicle generations, and encourages more efficient and sustainable eco-system. This paper not only provides insights in the latest knowledge and developments of electric vehicles (EVs), but also the new promising and novel EV technologies based on scientific facts and figures—which could be from a technologica

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Taneja, Ashu, Nitin Saluja, Neeti Taneja, et al. "Power Optimization Model for Energy Sustainability in 6G Wireless Networks." Sustainability 14, no. 12 (2022): 7310. http://dx.doi.org/10.3390/su14127310.

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Internet-of-Things (IoT) networks are witnessing a rapid proliferation of connected devices and mobile terminals each day. The wireless information flow between these massive battery-powered devices has a huge energy burden and will lead to an energy crisis in the near future; thus, there is an urgent search for sustainable energy networks. To offer a sustainable energy solution in order to meet the energy demands of these massive IoT networks, this paper presents a dynamic practical model that enables the efficient management of power resources. Two user-scheduling algorithms, namely, minimum

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Rajana, Charandeep Kumar. "Battery Management System Using IoT." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 5155–60. http://dx.doi.org/10.22214/ijraset.2024.61134.

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Abstract: This study presents an Arduino-based system for advising users of nearby EV stations and tracking the status of their automobile batteries. The MQ-2 gas sensor, DHT11 temperature sensor, and DC voltage sensor are the three main sensors that the system interfaces with through the use of an Arduino Uno microcontroller as the central controller. When the battery temperature rises over safe limits, the DHT11 sensor monitors it and sends out alarms. By detecting gases being released into the atmosphere, the MQ-2 gas sensor warns customers of possible battery problems. Through the use of a

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SONAL, ARVIND BARGE, and IMMACULATE MARY GERARDINE. "REVIEW OF LOW POWER TECHNIQUES FOR INTERNET OF THINGS IMPLEMENTATION." Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition) 42, no. 09 (2023): 49–70. https://doi.org/10.5281/zenodo.8348478.

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<strong>Abstract</strong> A low-power system is created with a long battery life in mind. One can carefully use low-power design strategies to reduce power consumption while maintaining correct system operation in order to lengthen battery life. The Internet of Things (IoT) is one such system where a lot of gadgets are often battery-operated and connected to the Internet. Devices connected to the Internet of Things are frequently used to collect data, drive a series of operations, and communicate the data for automation, connectivity, and data analysis. IoT communication and computing in IoT d

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Zhang, Xu, and Xi Zhang. "Battery management system of UAV Based on IOT." Frontiers in Computing and Intelligent Systems 1, no. 2 (2022): 41–43. http://dx.doi.org/10.54097/fcis.v1i2.1703.

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Lithium ion battery is a new type of high-energy battery developed successfully in the 20th century. Because of its high energy, high battery voltage, wide operating temperature range, long storage life and other advantages, it has been widely used in military and civil micro unmanned aerial vehicles. In order to monitor the charge and discharge and flight of UAV in real time, this paper designs a UAV battery management system based on the Internet of things, which transmits the battery data to the Internet of things platform in real time through the wireless transmission module. After testing

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B. Urmila, S. Abdul Razak Miah,. "IoT Based Electric Vehicle Battery Management System for Enhance Battery Life." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 1207–12. http://dx.doi.org/10.52783/tjjpt.v44.i4.1000.

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This abstract describes the concept of an IoT-based electric vehicle battery management system that can enhance the battery life of electric vehicles.By utilizing IoT technologies such as cloud computing, big data analytics, and machine learning algorithms, this system can monitor and analyze data in real-time, including charging patterns, driving habits, and battery performance. This enables the system to optimize the charging and discharging process, which in turn prolongs the battery life. In this project, we propose an Internet of Things (IoT) based BMS for EVs that integrates real-time da

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Karthikeyen, S., C. Kousi Priya, M. Varshini, P. Swathi, and S. Sudharsan. "IoT-Based Wireless Battery Surveillance and Management System." June 2024 6, no. 2 (2024): 117–30. http://dx.doi.org/10.36548/jei.2024.2.004.

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This research offers an Internet-of-Things (IoT) based battery surveillance machine for electric powered motors (EVs). The machine, is built using ESP32 microcontroller and Blynk IoT Cloud, to monitor the battery health in real-time. . The is equipped with sensors, to collects important facts along with voltage and charging styles. In case of faults, alerts are sent for prompt action. The ESP32 wirelessly transmits facts to the Blynk IoT Cloud platform, enabling the system to track and manage. Through a consumer-friendly interface, key parameters are visualized, facilitating proactive battery

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L.R. Lokesh Babu, R., D. Rambabu, A. Rajesh Naidu, R. D. Prasad, and P. Gopi Krishna. "IoT Enabled Solar Power Monitoring System." International Journal of Engineering & Technology 7, no. 3.12 (2018): 526. http://dx.doi.org/10.14419/ijet.v7i3.12.16172.

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This paper proposes a solution and method to monitor the dust accumulated on the solar panels to get the maximum power from for effective utilization. Always the output power of the solar panel depends on the radiation reached to the solar cell. The system also displays the malfunctioned solar panels lists and whether the electrical appliance is working directly on the solar panels or the loads is on the battery. All the panels are connected, and sensors are directly connected to the central controller which monitor the panels and loads. By incorporating the IoT technology the data received fr

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Aydın, Mustafa, and İsmail Gürbüz. "IoT based a low cost battery monitoring system using ESP8266 and Arduino IoT cloud platform." International Journal of Automotive Engineering and Technologies 13, no. 4 (2024): 170–79. https://doi.org/10.18245/ijaet.1553298.

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It is crucial to ensure the longevity of batteries in electric and hybrid vehicles in order to solidify their position in the market. Monitoring the life, capacity, and health of battery pack has become a major concern for users. The proper functioning and long-term durability of electric and hybrid vehicle batteries depend on accurately assessing their properties. In this study, a 6S battery module was created using NCR18650PF 3300mAh 3.7 V Li-ion batteries, which are increasingly used in electric and hybrid systems. Battery voltage, current, and surface temperature data of the battery module

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O’Shaughnessy, Paul. "Good Things In Store For Those Who Connect." New Electronics 57, no. 12 (2024): 22–24. https://doi.org/10.12968/s0047-9624(25)60043-5.

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Dhas, G. Justin Sunil. "EV BMS With Charge Monitor and Fire Protection." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem41962.

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The increasing adoption of electric vehicles (EVs) has highlighted the need for an efficient and intelligent battery management system to ensure safety, longevity, and performance. This project proposes an IoT-based EV Battery Management System (EVBMS) that continuously monitors key battery parameters such as temperature, voltage, and current to prevent potential hazards. The system utilizes sensors to detect anomalies, a CO2-based fire extinguishing mechanism for fire prevention, and a cutoff relay to disconnect the battery in case of critical conditions. Real-time data is transmitted to an I

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Farooq, Omar, Parminder Singh, Mustapha Hedabou, Wadii Boulila, and Bilel Benjdira. "Machine Learning Analytic-Based Two-Staged Data Management Framework for Internet of Things." Sensors 23, no. 5 (2023): 2427. http://dx.doi.org/10.3390/s23052427.

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In applications of the Internet of Things (IoT), where many devices are connected for a specific purpose, data is continuously collected, communicated, processed, and stored between the nodes. However, all connected nodes have strict constraints, such as battery usage, communication throughput, processing power, processing business, and storage limitations. The high number of constraints and nodes makes the standard methods to regulate them useless. Hence, using machine learning approaches to manage them better is attractive. In this study, a new framework for data management of IoT applicatio

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K, Gopala Reddy, Niveditha N S, Chandana M C, Prithvi K R, and Chandana A. "IOT Based Battery Management System for Electric Vehicle." Recent Trends in Electrical Machines and Drives 6, no. 1 (2021): 1. http://dx.doi.org/10.47531/rtemd.6.1.2021.

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Ekuewa, Oluwaseun Isaiah, Basit Bolaji Afolabi, Samson Oluwasina Ajibesin, Oluwaseun Sodiq Atanda, Muideen Ayomipo Oyegoke, and Jamaaldeen Mahamud Olanrewaju. "Development of Internet of Things-Enabled Smart Battery Management System." European Journal of Electrical Engineering and Computer Science 6, no. 6 (2022): 9–15. http://dx.doi.org/10.24018/ejece.2022.6.6.467.

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The Internet of Things has become an evolving area of wireless technologies. Energy storage plays a crucial role in developing, implementing, and deploying the Internet of Things (IoT) to help solve some of the problems facing our daily activities. It is known that in batteries, energy-stored systems are able to get spoiled due to undercharging or over-charging and might profoundly affect the operation of the whole system. Electric and hybrid vehicles need an exact state-of-charge approximation technique to improve battery safety and lifetime and prevent damage. An efficient battery managing s

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Nikunj Jain, Krish Kathuria, Vanshdeep Saini, et al. "A Smart Battery Management System with Charging and Discharging Analysis." International Journal of Scientific Research in Science, Engineering and Technology 12, no. 3 (2025): 795–804. https://doi.org/10.32628/ijsrset2512110.

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The following research introduces a smart battery management system (BMS) which refines lithium-ion batteries in digital devices and grants for instantaneous remote monitoring. The framework utilizes IoT technology and an ESP8266 microprocessor in order to converge crucial battery metrics such as voltage, current, and temperature. A cloud-based analytics platform called ThingSpeak receives these data points, allowing for real-time display, data storage, and user notifications. The proposed smart BMS turns aside overburdening and superheating deter by improving battery performance via anticipat

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Insia, Khaleque, Abir Ahmed, Effat Jahan, et al. "IoT-Based Smart Battery Management and Monitoring System for Electric Vehicles." AIUB Journal of Science and Engineering (AJSE) 22, no. 2 (2023): 181–88. http://dx.doi.org/10.53799/ajse.v22i2.731.

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The growing popularity of electric vehicles on a worldwide scale leads to further research to monitor their performance. The use of Internet of Things (IoT) technology will make it easier to integrate the automated real-time monitoring system with the current electric vehicle technology. The great majority of electric vehicles use rechargeable lithium-ion batteries. Use of lithium-ion batteries creates an overcharging situation in the battery, which significantly decreases battery life. It also increases the possibility of disastrous safety risks due to fire. This paper develops an IoT-based b

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V., Kanakaris, A. Papakostas G., and V. Bandekas D. "Power consumption analysis on an IoT network based on wemos: a case study." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 5 (2019): 2505–11. https://doi.org/10.12928/TELKOMNIKA.v17i5.11317.

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On Internet of Things network (IoT), connections established among every device that connected to the Internet. An IoT uses different communication method instead to that, the Internet uses. Internet of Things (IoT) applications, use a light weight protocol Message Queue Telemetry Transport (MQTT). In this article an Internet of Things (IoT) system is presented, an advanced solution of monitoring the temperature and luminosity at different locations in a data centre of MQTT Server, measuring power consumption in 2 types of time of capturing data (every 0.5 min and every 1 min) making temperatu

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Agneeswaran V., Nawin N. R., Vasantha Kumar S., M. Sangeetha, A. Antony David, A. Karunakaran,. "Smart Energy Management System for Electric Vehicles Using IoT Technology." Proceeding International Conference on Science and Engineering 11, no. 1 (2023): 1854–63. http://dx.doi.org/10.52783/cienceng.v11i1.345.

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As electric vehicles become more popular, it's crucial to monitor the health and performance of their batteries to ensure optimal efficiency and longevity. In this paper, we propose an IoT-based battery monitoring system that leverages wireless communication and cloud computing to collect and analyze battery data in real-time. Our system consists of three main components: battery sensors, a gateway device, and a cloud platform. The battery sensors are placed in each battery cell to measure key parameters such as voltage, current, temperature, and state of charge. These sensors transmit data wi

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B. Ravi, Kumar, Naidu P. Guruvulu, G. Hanumanthu, Sai Pramodh Ch. Rama, T. Jyotsna, and P. Harika. "Passive balancing in battery management system for electrical vehicles." i-manager’s Journal on Electrical Engineering 16, no. 3 (2023): 18. http://dx.doi.org/10.26634/jee.16.3.19437.

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Due to the peak energy and power density, the battery is a leading energy source for electric vehicles. Among various battery chemistries, Li-ion batteries have emerged as serious competitors in the field of electric vehicles. The battery cells are connected in series or parallel to increase voltage and current in a battery pack for electric vehicle applications. The heart of a battery-operated electric vehicle is the battery control system. The series-connected cells in a battery pack must preserve each cell's original potential under ideal charging and discharging conditions. If the potentia

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Nagarajan Krishnamurthy, Et al. "Hydrogen-Powered Tramcar Energy Management System." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 1 (2023): 205–8. http://dx.doi.org/10.17762/ijritcc.v11i1.9808.

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This research focuses on the development of an Energy Management System (EMS) for a hybrid power tramcar. The proposed system integrates various components, including a drawing bus, super capacitor, battery, fuel cell, and controller. The super capacitor is connected to the traction bus through the first two-way DC/DC converters, while the battery is connected through the second two-way DC/DC converters. The fuel cell is connected to the traction bus through a control module, which includes a diode, first unidirectional DC/DC converters, and a switch. The switch and the first unidirectional DC

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Singh, Kamna, Karan Bajaj, Chetan Verma, Mayank Bhardwaj, and Rohan Mathpal. "Traffic Light Controller System for Emergency Vehicles using Internet of Things." International Journal of All Research Education & Scientific Methods 10, no. 04 (2022): 2772–77. http://dx.doi.org/10.56025/ijaresm.2022.10401.

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Now days, with evolving technology, internet grows rapidly. IoT i.e. Internet of things is a technology which connects everything to everything. This paper presents optimistic solutions,that how any object or anything can be connected over the network with IoT technologies and achieves a desired output. This paper introduces a concept that if emergency vehicles like ambulance or fire truck are on the way to their destination then traffic light will be almost negligible for that type of vehicle. We proposed some algorithms which shows that how different sensors connected with physical devices a

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Anil, Kumar Mishra, Pandey Ankita, and Dewangan Tushar. "EcoFuse inverter with battery monitoring system." i-manager’s Journal on Electronics Engineering 15, no. 3 (2025): 20. https://doi.org/10.26634/jele.15.3.21821.

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The EcoFuse Inverter with Battery Charging and Monitoring System is an innovative solution aimed at sustainable energy utilization and efficient power management. This initiative integrates an advanced inverter system with a smart battery charging mechanism and real-time monitoring capabilities. Leveraging the Internet of Things (IoT) technology, the system enables seamless monitoring and display of battery power levels, ensuring optimal energy usage and enhanced user convenience. The IoT framework facilitates remote access, providing users with insights into battery performance and system sta

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Dimitrievski, Ace, Sonja Filiposka, Francisco José Melero, et al. "Rural Healthcare IoT Architecture Based on Low-Energy LoRa." International Journal of Environmental Research and Public Health 18, no. 14 (2021): 7660. http://dx.doi.org/10.3390/ijerph18147660.

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Connected health is expected to introduce an improvement in providing healthcare and doctor-patient communication while at the same time reducing cost. Connected health would introduce an even more significant gap between healthcare quality for urban areas with physical proximity and better communication to providers and the portion of rural areas with numerous connectivity issues. We identify these challenges using user scenarios and propose LoRa based architecture for addressing these challenges. We focus on the energy management of battery-powered, affordable IoT devices for long-term opera

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N., Mayavel* M. Dinesh** E. Gowtham Raj** K. Sameera** &. J. Prakash**. "IOT BASED SOLAR CHARGING STATION FOR E-VEHICLE." International Journal of Scientific Research and Modern Education (IJSRME) 8, no. 1 (2023): 61–65. https://doi.org/10.5281/zenodo.7906795.

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In recent years, the increase in the number of electric vehicles (EVs) has led to the need for more e-vehicle charging stations. In this project, we propose the design and implementation of an e-vehicle charging station with the integration of an Arduino Uno controller, a solar panel, a grid connection, and an Internet of Things (IOT) system for monitoring. The controller manages the charging process by detecting the available power source (solar or grid) and triggering the relay driver to flow the power through the battery storage unit to the EV battery charger. The battery storage unit is al

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Karthick, R., Babu P. Sathish, and M. B. Annadurai. "Electric Vehicles Battery Management Network Using IoT Blockchain." International Journal of Multidisciplinary Research Transactions 5, no. 12 (2024): 13–27. https://doi.org/10.5281/zenodo.10711761.

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Electric Vehicles (EVs) have generated a lot of interest in recent years, due to the advances in battery life and low pollution. Similarly, the expansion of Internet of Things (IoT) allowed more devices to be interconnected. One major problem electric vehicles face today is the limited range of the battery and the limited number of charging or battery swapping stations. A solution is to not only build the necessary infrastructure, but also to be able to correctly estimate the remaining power, using an efficient battery management system (BMS). For some EVs, battery swapping can also be an opti

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Hong, Insung, Sunghoi Park, Beomseok Lee, Jaekeun Lee, Daebeom Jeong, and Sehyun Park. "IoT-Based Smart Garbage System for Efficient Food Waste Management." Scientific World Journal 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/646953.

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Owing to a paradigm shift toward Internet of Things (IoT), researches into IoT services have been conducted in a wide range of fields. As a major application field of IoT, waste management has become one such issue. The absence of efficient waste management has caused serious environmental problems and cost issues. Therefore, in this paper, an IoT-based smart garbage system (SGS) is proposed to reduce the amount of food waste. In an SGS, battery-based smart garbage bins (SGBs) exchange information with each other using wireless mesh networks, and a router and server collect and analyze the inf

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