Electrical battery modeling for applications in wireless sensor networks and internet of things

Modeling the behavior of the battery is non-trivial. Nevertheless, an accurate battery model is required in the design and testing of systems such wireless sensor network (WSN) and internet of things (IoT). This paper presents the one resistive-capacitance (1RC) battery model with simple parameterization technique for nickel metal hydride (NiMH). This model offers a good trade-off between accuracy and parameterization effort. The model’s parameters are extracted through the pulse measurement technique and implemented in a physical and dynamic simulator. Finally, the performance of the model is validated with the real-life NiMH battery by applying current pulses and real wireless sensor node current profiles. The results of the voltage response obtained from both the model and experiments showed excellent accuracy, with difference of less than 2%.

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MEGAN: Multipurpose Energy-Efficient, Adaptable, and Low-Cost Wireless Sensor Node for the Internet of Things

IEEE Systems Journal ◽

10.1109/jsyst.2019.2920099 ◽

2020 ◽

Vol 14 (1) ◽

pp. 144-151 ◽

Cited By ~ 5

Author(s):

Sudip Misra ◽

Sanku Kumar Roy ◽

Arijit Roy ◽

Mohammad S. Obaidat ◽

Avantika Jha

Keyword(s):

Internet Of Things ◽

Energy Efficient ◽

Sensor Node ◽

Low Cost ◽

Wireless Sensor ◽

The Internet ◽

Wireless Sensor Node ◽

The Internet Of Things

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Internet of Things and Its Relevance

Integration and Implementation of the Internet of Things Through Cloud Computing - Advances in Web Technologies and Engineering ◽

10.4018/978-1-7998-6981-8.ch002 ◽

2021 ◽

pp. 19-36

Author(s):

Kirti Kangra ◽

Jaswinder Singh

Keyword(s):

Internet Of Things ◽

Radio Frequency Identification ◽

Near Field ◽

Real Life ◽

Wireless Sensor ◽

Smart Devices ◽

Exchange Information ◽

Frequency Identification ◽

Cloud Network ◽

The Internet Of Things

The internet of things (IoT) model connects physical devices to the virtual world and enables them to interact. It enables smart devices to communicate with other devices to exchange information. To link a wireless network or cloud network, it takes the help of several technologies such as radio frequency identification (RFID), wireless sensor network (WSN), near field communication (NFC), ZigBee, and others. The IoT requires a standard architecture and protocol stack to establish links between the devices. This chapter provides a brief introduction, pillars, the evolution, architecture, application of IoT, and issues related to IoT implementation in real life.

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Nonlinear Dynamic Traction Battery Modeling

Hybrid Electric Power Train Engineering and Technology ◽

10.4018/978-1-4666-4042-9.ch005 ◽

2013 ◽

pp. 151-193

Keyword(s):

Nonlinear Modeling ◽

Lithium Ion ◽

Experimental Tests ◽

Internal Resistance ◽

State Of Charge ◽

Nickel Metal ◽

Battery Modeling ◽

Nickel Metal Hydride ◽

Driving Cycles ◽

Battery State Of Charge

The role of the battery as the source of power in Hybrid Electric Vehicles (HEVs) is basic and significant. The process of battery adjustment and its management is crucial during the hybrid and electric drive design. The approach to battery modeling based on the linear assumption (as the Thevenin model) and then adopted for the data obtained in experimental tests, is here ignored, because the dynamic nonlinear modeling and simulations are the only tools for the optimal adjustment of the battery’s parameters according to the analyzed vehicle driving cycles. The battery’s capacity, voltage, and mass should be minimized, considering its overload currents. This is the way to obtain the minimal cost of the battery. Chapter 5 presents the method of determining the Electromotive Force (EMF) and the battery internal resistance as time functions, which are depicted as the functions of the State Of Charge (SOC). The model is based on the battery’s discharge and charge characteristics under different constant currents that are tested in a laboratory experiment. The algorithm of battery’s State-Of-Charge (SOC) indication is depicted in detail. The algorithm of battery State-Of-Charge (SOC) “online” indication considering the influence of temperature can be easily used in practice. The Nickel Metal Hydride (NiMH) and Lithium ion (Li-ion) batteries are taken into consideration and thoroughly analyzed. In fact, the method can also be used for different types of contemporary batteries, if the required test data is available.

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Energy management algorithm for solar-powered energy harvesting wireless sensor node for Internet of Things

IET Communications ◽

10.1049/iet-com.2015.0223 ◽

2016 ◽

Vol 10 (12) ◽

pp. 1508-1521 ◽

Cited By ~ 28

Author(s):

Minchul Shin ◽

Inwhee Joe

Keyword(s):

Energy Harvesting ◽

Internet Of Things ◽

Energy Management ◽

Sensor Node ◽

Wireless Sensor ◽

Wireless Sensor Node ◽

Management Algorithm ◽

Solar Powered

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Research on the Construction of Intelligent Fire Protection Virtual Simulation Teaching Platform Based on Internet of Things

International Journal of Information and Education Technology ◽

10.18178/ijiet.2021.11.10.1549 ◽

2021 ◽

Vol 11 (10) ◽

pp. 450-455

Author(s):

Guiling Sun ◽

◽

Sirui Wang ◽

Hai Wang ◽

Yi Gao

Keyword(s):

Internet Of Things ◽

Data Storage ◽

Fire Protection ◽

Real Life ◽

Social Background ◽

Virtual Simulation ◽

The Internet ◽

Wireless Sensor Node ◽

Teaching Platform ◽

The Internet Of Things

Aiming at the teaching challenge of cultivating integrated talents of Internet of things worldwide, and combining with the social background of fire rescue and management problems, We propose a virtual simulation teaching platform for the Internet of Things under the background of intelligent fire protection application. Based on the overall structure of the Internet of Things, different fire scenarios that cannot be simulated in real life are constructed through virtual simulation technology. OMNet++ technology is adopted to carry out virtual deployment of fire nodes for the overall structure of the building, and experiments such as cluster routing simulation, communication transmission simulation and wireless sensor node data acquisition simulation are designed. Meanwhile, a 3D fire data model is established using big data to simulate the best fire extinguishing scheme and the best escape strategy. From aspects of the Internet of Things system design and development, sensor principle and application, Internet of Things communication technology and Internet of Things data storage and application, we have realized the efficiency, innovation and challenge of the Internet of Things teaching.The virtual simulation teaching platform we built has been deployed and put into practical teaching, which has received positive response from students and achieved excellent teaching effect.

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Monitoring Penggunaan Daya listrik Sebagai Implementasi Internet of Things Berbasis Wireless Sensor Network

Majalah Ilmiah Teknologi Elektro ◽

10.24843/mite.2017.v16i03p09 ◽

2017 ◽

Vol 16 (3) ◽

pp. 50

Author(s):

I Gusti Putu Mastawan Eka Putra ◽

Ida Ayu Dwi Giriantari ◽

Lie Jasa

Keyword(s):

Wireless Sensor Network ◽

Internet Of Things ◽

Sensor Network ◽

Sensor Node ◽

Electrical Energy ◽

Sensor Nodes ◽

Wireless Sensor ◽

The Internet ◽

Wireless Sensor Node ◽

Electrical Parameters

One implementation of the Internet of Things (IoT) conducted in this study to realize the system of monitoring and control of electrical energy usage-based Wireless Sensor Network (WSN). This research method is the design of wireless sensor nodes that can measure the electrical parameters of alternating current (AC) as effective voltage, effective current, active power, apparent power, power factor and total electrical energy consumption by using modules ESP8266 as a liaison with a Wi-Fi. Calculation of electrical parameters obtained from ATmega328P microcontroller ADC readings of a step-down transformer that is used as a voltage sensor and sensor SCT013 used as AC current sensors will be transmitted to the server over the network from a Wi-Fi Access Point (AP). ESP8266 modules are programmed using AT-Command proven to reliably measure can transmit data simultaneously with serial data format of the wireless sensor node to a server using TCP / IP protocol. Monitoring power consumption via the internet which are designed in the research, either through the Android application and web browser proven to be reliably able to show some electrical parameters with the same data than the data logger recaps taken from SD-Card installed in the wireless sensor node.

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Microstructural characterization of a cast RENi5-based alloy

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100151714 ◽

1993 ◽

Vol 51 ◽

pp. 1176-1177

Author(s):

G. M. Micha ◽

L. Zhang

Keyword(s):

Electron Microscopy ◽

Rare Earth ◽

Microstructural Characterization ◽

Binary Compound ◽

Nickel Metal ◽

Cast Material ◽

Nickel Metal Hydride ◽

Transmission Electron ◽

Cast Condition

RENi5 (RE: rare earth) based alloys have been extensively evaluated for use as an electrode material for nickel-metal hydride batteries. A variety of alloys have been developed from the prototype intermetallic compound LaNi5. The use of mischmetal as a source of rare earth combined with transition metal and Al substitutions for Ni has caused the evolution of the alloy from a binary compound to one containing eight or more elements. This study evaluated the microstructural features of a complex commercial RENi5 based alloy using scanning and transmission electron microscopy.The alloy was evaluated in the as-cast condition. Its chemistry in at. pct. determined by bulk techniques was 12.1 La, 3.2 Ce, 1.5 Pr, 4.9 Nd, 50.2 Ni, 10.4 Co, 5.3 Mn and 2.0 Al. The as-cast material was of low strength, very brittle and contained a multitude of internal cracks. TEM foils could only be prepared by first embedding pieces of the alloy in epoxy.

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