Relevant bibliographies by topics / Embedded battery

Academic literature on the topic 'Embedded battery'

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Published: 14 March 2023

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Journal articles on the topic "Embedded battery"

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Niu, Jianna, George You Zhou, and Tong Wu. "Embedded Battery Energy Storage System for Diesel Engine Test Applications." International Journal of Materials, Mechanics and Manufacturing 3, no. 4 (2015): 294–98. http://dx.doi.org/10.7763/ijmmm.2015.v3.213.

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Kulkarni, V. A., and G. R. Udupi. "Software Power Measurement of ARM Processor Based Embedded System." European Journal of Engineering and Technology Research 1, no. 5 (July 27, 2018): 5–9. http://dx.doi.org/10.24018/ejeng.2016.1.5.184.

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Energy consumption is very crucial for battery powered Embedded Systems. In recent times, embedded system functionalities are increasing by many folds. But the battery technology is not advancing in the same pace. This necessitates the need to reduce energy consumption of battery powered embedded applications. The total energy of a typical embedded system is due to energy of software and hardware components. Once we know the total energy, we can estimate battery life accurately. Conversely, various measures can be taken to increase battery life. This paper presents measurement based approach to find energy cost associated with ARM instructions.
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Rakhmatov, Daler, and Sarma Vrudhula. "Energy management for battery-powered embedded systems." ACM Transactions on Embedded Computing Systems 2, no. 3 (August 2003): 277–324. http://dx.doi.org/10.1145/860176.860179.

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Madsen, Anne K., and Darshika G. Perera. "Composing Optimized Embedded Software Architectures for Physics-Based EKF-MPC Smart Sensor for Li-Ion Battery Cell Management." Sensors 22, no. 17 (August 26, 2022): 6438. http://dx.doi.org/10.3390/s22176438.

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Efficient battery technology is imperative for the adoption of clean energy automotive solutions. In addition, efficient battery technology extends the useful life of the battery as well as provides improved performance to fossil fuel technology. Model predictive control (MPC) is an effective way to operate battery management systems (BMS) at their maximum capability, while maintaining the safety requirements. Using the physics-based model (PBM) of the battery allows the control system to operate on the chemical and physical process of the battery. Since these processes are internal to the battery and are physically unobservable, the extended Kalman filter (EKF) serves as a virtual observer that can monitor the physical and chemical properties that are otherwise unobservable. These three methods (i.e., PBM, EKF, and MPC) together can prolong the useful life of the battery, especially for Li-ion batteries. This capability is not limited to the automotive industry: any real-world smart application can benefit from a portable/mobile efficient BMS, compelling these systems to be executed on resource-constrained embedded devices. Furthermore, the intrinsic adaptive control process of the PBM is uniquely suited for smart systems and smart technology. However, the sheer computational complexity of PBM for MPC and EKF prevents it from being realized on highly constrained embedded devices. In this research work, we introduce a novel, unique, and efficient embedded software architecture for a PB-EKF-MPC smart sensor for BMS, specifically on embedded devices, by addressing the computational complexity of PBM. Our proposed embedded software architecture is created in such a way to be executed on a 32-bit embedded microprocessor running at 100 MHz with a limited memory of 128 KB, and still obtains an average execution time of 4.8 ms.
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Lee, Noah, Chen Hon Nee, Seong Shan Yap, Kwong Keong Tham, Ah Heng You, Seong Ling Yap, and Abdul Kariem Bin Mohd Arof. "Capacity Sizing of Embedded Control Battery–Supercapacitor Hybrid Energy Storage System." Energies 15, no. 10 (May 20, 2022): 3783. http://dx.doi.org/10.3390/en15103783.

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A battery–supercapacitor hybrid energy storage system is investigated as a solution to reduce the high-power delivery stress on the battery. An optimally-sized system can further enhance the storage and cost efficiency. This paper discusses several possible problems in the sizing of a battery–supercapacitor hybrid energy storage system for practical applications. A sizing method that utilises data collected from a fully active embedded control hybrid energy system is proposed. The feasibility of the method is then tested on three load profiles that represent the load demand of inter- and intra-applications with a battery–supercapacitor hybrid energy storage system. The result is compared to a battery-only single energy storage system. The results verified that the number of batteries required in the hybrid energy storage system is reduced by at least 50% compared to the battery-only single energy storage system.
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Yoo, Sunggoo, Chonggi Hong, Kil To Chong, and Namo Seul. "Analysis of Pouch Performance to Ensure Impact Safety of Lithium-Ion Battery." Energies 12, no. 15 (July 25, 2019): 2865. http://dx.doi.org/10.3390/en12152865.

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The use of mobile devices equipped with embedded batteries is increasing. These embedded batteries are generally lithium-ion batteries in the form of a pouch. However, if an impact is applied to the embedded battery, it can potentially lead to fire and explosion. In this study, we analyzed the safety of the battery, depending on the material and shape of the surrounding pouch. Through tensile strength assessment, an elongation measurement experiment, and impact evaluation, the elements that can improve safety were found. The analysis results confirmed that, as the tensile strength and elongation increased, the impact defect rate decreased. Applying these findings to battery manufacturing can help secure impact safety.
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Simatupang, Desmon, Abdulraouf Benshatti, and Sung-Yeul Park. "Battery Internal Temperature Measurement Using LC Resonant Tank for Battery Management Systems." Batteries 9, no. 2 (February 2, 2023): 104. http://dx.doi.org/10.3390/batteries9020104.

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This paper suggests an embedded battery impedance measurement based on an Inductor Capacitor (LC) resonant tank to measure the battery’s internal temperature for battery management systems (BMS). The purpose of the BMS is to provide state-of-charge (SoC) balancing and the preheating mechanism at sub-zero temperatures. Battery Impedance Spectroscopy (BIS) for battery internal temperature measurement is achieved by an LC resonant tank connected to the batteries in parallel to induce created resonant current and voltage into the battery. The peaks of the voltage and current waveforms are measured and recorded. Then, the resistance of the battery can be calculated by comparing the peak voltage and current waveforms. Since the resistance of the battery is affected by the battery’s internal temperature, the internal temperature of the battery can be estimated. The benefit of using the LC tank for the battery’s internal temperature is to reduce data processing since no window and Fast Fourier Transform (FFT) is needed for this method. In addition, the proposed method measures the battery’s internal temperature without any internal or external temperature sensor. Power Simulation (PSIM) simulation software is used in this proposed method. Panasonic batteries 18650 and a dSPACE DS1104 are used for the experiment to verify the proposed method. The proposed method shows that the LC resonant tank can measure three batteries B1, B2, and B3 internal resistance with 17.87%, 18.14%, and 17.73% errors compared to the Frequency Response Analyzer (FRA). In addition, the total time needed for balancing is 400 s, and the total energy consumed by the preheating mechanism is 0.214%/°C to preheat the lithium-ion batteries (LIBs) from −5 °C to 10 °C.
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Assaouy, Mohammed, Ouadoudi Zytoune, and Mohamed Ouadou. "Battery Recovery-Aware Optimization for Embedded System Communications." Wireless Personal Communications 110, no. 4 (October 11, 2019): 1929–46. http://dx.doi.org/10.1007/s11277-019-06820-1.

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Simunic, T., L. Benini, and G. De Micheli. "Energy-efficient design of battery-powered embedded systems." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 9, no. 1 (February 2001): 15–28. http://dx.doi.org/10.1109/92.920814.

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Fedorova, Anna A. "Empirical and physics-based approaches to estimate states of lithium-ion battery." Zhurnal Srednevolzhskogo Matematicheskogo Obshchestva 21, no. 2 (June 30, 2019): 259–68. http://dx.doi.org/10.15507/2079-6900.21.201902.259-268.

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Lithium-ion batteries are integral parts of our life due to the rapid increase of applications which require batteries for their exploitation. Thus, there is a market demand to produce lithium-ion batteries for a huge number of applications from electric vehicles to energy storages. Battery Management System (BMS) is developed to maintain safe battery exploitation conditions. Most BMSs are embedded systems that have physical memory limits. Therefore, battery model should be easy to simulate to be integrated into BMS for states estimation. In the present paper we intend to compare empirical and physics-based approaches to estimate lithium-ion battery states with respect to their possibility of implementation in the embedded system. We will use Kalman filter to estimate battery states by means of the mentioned models.
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Dissertations / Theses on the topic "Embedded battery"

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Meng, Jianwen. "Battery fault diagnosis and energy management for embedded applications." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPAST003.

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Les véhicules électriques (VEs) connaissent un développement en plein essor ces dernières années pour faire face aux problèmes environnementaux et aux dérèglements climatiques. Du point de vue du stockage de l'énergie, c'est essentiellement la technologie des batteries lithium-ion (LIB) qui est la plus utilisée pour d'alimentation des véhicules électriques compte tenu de leur haute densité d'énergie / puissance et de leur longue durée de vie. La fiabilité des LIBs est sans aucun doute d'une importance fondamentale pour le développement des VE. Dans cet objectif, les travaux de thèse s'inscrivent dans le développement des algorithmes dédiés à l'estimations des états de la batterie ainsi qu'au diagnostic de court-circuit naissant. L'estimation des états de la batterie, qui peut également être qualifiée de surveillance de la batterie, est un élément indispensable de la stratégie de gestion de l'énergie d'un véhicule électrique ou hybride. Par ailleurs, le vieillissement prématuré peut être évité grâce à la surveillance des états de batterie telles que l'état de charge (SOC) et l'état de santé (SOH). De plus, étant donné que l'emballement thermique (TR) peut être la conséquence d'un défaut de court-circuit (SC) électrique, de ce fait, une détection efficace de SC naissant de la batterie peut donc donner une alerte protectrice de TR. La principale contribution de cette thèse réside dans les aspects théoriques et méthodologiques dans le domaine de la surveillance de la batterie et du diagnostic SC naissant
In order to cope with environmental problems and climate change, electric vehicles (EVs) gain the ever booming development in recent years. From the point of view of energy storage, because of their high energy / power density and their extended lifespan, it is essentially the lithium-ion battery (LIB) technology which is the most used power unit for EVs. Doubtlessly, the reliability of LIBs is of vital importance for the development of EVs. To this end, this thesis is dedicated to the algorithmic development of battery state and parameter estimation as well as incipient short-circuit diagnosis. The battery state and parameter estimation, which can also be termed as battery monitoring, is a critical part in the so-called health conscious energy management strategy for electric or hybrid electric vehicle. Premature aging can be avoided through the accurate battery state estimation such as state of charge (SOC) and state of health (SOH). Furthermore, as the thermal runaway (TR) can be ultimately attributed to short-circuit (SC) electrical abuse, therefore, effective battery incipient SC detection can give an early warning of TR. The main contribution of this thesis lies in the theoretical and methodological aspects in the domain of battery monitoring and incipient SC diagnosis
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Quraan, Mahran. "Modular multilevel converter with embedded battery cells for traction drives." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6653/.

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This thesis proposes a new modular multilevel converter with embedded cell balancing for battery electric vehicles. In this topology, the battery cells are directly connected to the half-bridge choppers of the sub-modules, allowing the highest flexibility for the discharge and recharge of each individual cell. Tht: traditional battery management system is replaced by the control of the converter, which individually balances all the cells. A new balancing algorithm is presented and discussed in. the thesis, showing that the converter generates symmetric three-phase voltages with low harmonic distortion even for significantly unbalanced cells. The thesis also analyses stationary recharge of the battery cells from both three-phase and single-phase ac sources. The performance of the converter as a traction drive is assessed in terms of torque-speed characteristic and power losses for the full frequency range, including field weakening. A simplified model for estimating conduction and switching losses for the proposed modular multilevel converter is presented and the results for a typical driving cycle are compared with a traditional two-level converter. Simulation and experimental results on a kW-size prototype have confirmed the feasibility of the proposed traction modular converter in terms of effectiveness of the cell balancing control, validity of the proposed loss model, suitability of use for traction and effectiveness of recharging operations.
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Soleiman, Andreas. "Battery-free Visible Light Sensing." Thesis, Uppsala universitet, Avdelningen för datorteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-381370.

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In this thesis, we show that it is possible to design a battery-free light sensing system that can sense and communicate hand gestures while operating fully on harvested power from indoor light. We present two main innovations that push our system to tens of microwatts of power to enable battery-free operation. First, we introduce a novel visible light sensing system that can track variations in light intensity by using a solar cell as a sensor. Solar cells are unlike photodiodes optimized for energy yield in the visible light region and hence do not require any power hungry active components such as an operational amplifier. Furthermore, solar cells can operate under more diverse light conditions as they are not susceptible to saturation under bright light. Second, we devise two ultra-low power communication mechanisms based on radio frequency backscatter to transmit sensor readings at various resolutions without the need of any energy-expensive computational blocks.  We design two battery-free and self-powered hardware prototypes that are based on these two innovations. Our first design utilizes an on-board comparator based circuit to perform a 1-bit digitization of changes in light readings, consuming only sub-microwatt of power for digitization. For our second prototype, we design an analog backscatter mechanism that can map raw sensor readings directly to backscatter transmissions. We demonstrate the feasibility of our designs when sensing significant changes in light intensity caused by shadows from hand gestures, and reconstruct these at a receiving device. Our results demonstrate the ability to sense and communicate various hand gestures at a peak power of 20 microwatts when performing 1-bit digitization, and a mean power of 60 microwatts when performing analog backscatter. Both designs represent orders of magnitude improvement in terms of power consumption over state-of-the-art visible light sensing systems.
Battery-free Visible Light Sensing
MobiCom: G: Battery-free Visible Light Sensing
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Hylamia, Abdullah. "Towards Battery-free Radio Tomographic Imaging : Battery-free Boundary Crossing Detection." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234819.

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Radio tomographic imaging (RTI) is a novel device-free localization technique which utilizes the changes in radio signals caused by obstruction to enable various sensing applications. However, the deployment of these applications is hindered by the energy-expensive radio sensing techniques employed in these systems. In this thesis, we tackle this issue by introducing a novel way to realize a battery-free RTI sensor. We go through the design process and produce and evaluate a working prototype that operates on minuscule amounts of energy. Our design reduces power consumption by orders of magnitude compared to traditional RTI sensors by eliminating the energy-expensive components used in current RTI systems, enabling battery-free operation of RTI sensors. We demonstrate the efficiency and accuracy of our system in a boundary crossing scenario. We Discuss its limitations and tackle some of the security threats correlated with the deployment of such a system.
Radiotomografisk avbildning (RTA) är en ny, anordningsfri lokaliseringstekniksom utnyttjar förändringarna i radiosignaler orsakat av obstruktioner för att möjliggöraolika avkänningsapplikationer. Utvecklingen av dessa applikationer hindrasemellertid av de energiineffektiva radioavkännande tekniker som användsi dessa system. I denna avhandling behandlar vi problemet genom att introduceraen ny metod för att skapa en batterifri RTA-sensor. Vi går igenom konstruktionsprocessenoch producerar och utvärderar en arbetsprototyp som kräver minusklermängder energi. Vår design minskar energiförbrukningen signifikantjämfört med traditionella RTA-sensorer, genom att eliminera de energiineffektivakomponenterna som används i dagens RTA-system, vilket möjliggör batterifridrift av RTA-sensorer. Vi demonstrerar effektiviteten och noggrannheten hos vårtsystem i ett gränsöverskridande scenario. Vi diskuterar begränsningarna och taritu med några av de säkerhetshot som är korrelerade med utplaceringen av ettsådant system.
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Copello, Claudio Gustavo. "Enhancing Data Security and Energy Efficiency on Battery-Free Programmable Platform via Adaptive Scheduling." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/2038.

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Embedded devices constantly face two challenges in data security and energy efficiency. These devices are limited in processing such secure functions, as well as maintaining enough energy for the device to function properly. One example involves the healthcare industry, where some patients may require an Implantable Cardioverter Defibrillator (ICD) in their hearts to measure the heartbeat rate, while powered by a battery. The heartbeat rate is sent wirelessly, and the ICD can receive a jolt of electricity when the heartbeat rate reaches an abnormal value. Transmitting data alone, however, yields potential security risks when sending plain data. Work has shown that an attacker could intercept the heartbeat rate of the ICD, and intentionally send jolts of electricity. Also, replacing the battery on an ICD involves quite a painful process for the patient. A battery-less device that can receive energy wirelessly is much more convenient, but also poses a challenge where power loss may occur under long distances due to a limited supply of energy. In this paper, we design an adaptive light-weight scheduling mechanism that enhances data security, as well as improving energy efficiency on a device with such constraints. We will then prototype this scheduler on a Wireless Identification and Sensing Platform (WISP) device, which includes these constraints. Our results will then demonstrate the capabilities of such adaptive scheduling under various distances.
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Li, Jiayin. "ENERGY-AWARE OPTIMIZATION FOR EMBEDDED SYSTEMS WITH CHIP MULTIPROCESSOR AND PHASE-CHANGE MEMORY." UKnowledge, 2012. http://uknowledge.uky.edu/ece_etds/7.

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Over the last two decades, functions of the embedded systems have evolved from simple real-time control and monitoring to more complicated services. Embedded systems equipped with powerful chips can provide the performance that computationally demanding information processing applications need. However, due to the power issue, the easy way to gain increasing performance by scaling up chip frequencies is no longer feasible. Recently, low-power architecture designs have been the main trend in embedded system designs. In this dissertation, we present our approaches to attack the energy-related issues in embedded system designs, such as thermal issues in the 3D chip multiprocessor (CMP), the endurance issue in the phase-change memory(PCM), the battery issue in the embedded system designs, the impact of inaccurate information in embedded system, and the cloud computing to move the workload to remote cloud computing facilities. We propose a real-time constrained task scheduling method to reduce peak temperature on a 3D CMP, including an online 3D CMP temperature prediction model and a set of algorithm for scheduling tasks to different cores in order to minimize the peak temperature on chip. To address the challenging issues in applying PCM in embedded systems, we propose a PCM main memory optimization mechanism through the utilization of the scratch pad memory (SPM). Furthermore, we propose an MLC/SLC configuration optimization algorithm to enhance the efficiency of the hybrid DRAM + PCM memory. We also propose an energy-aware task scheduling algorithm for parallel computing in mobile systems powered by batteries. When scheduling tasks in embedded systems, we make the scheduling decisions based on information, such as estimated execution time of tasks. Therefore, we design an evaluation method for impacts of inaccurate information on the resource allocation in embedded systems. Finally, in order to move workload from embedded systems to remote cloud computing facility, we present a resource optimization mechanism in heterogeneous federated multi-cloud systems. And we also propose two online dynamic algorithms for resource allocation and task scheduling. We consider the resource contention in the task scheduling.
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Gao, Peng. "Viewer-Aware Intelligent Mobile Video System for Prolonged Battery Life." Thesis, North Dakota State University, 2017. https://hdl.handle.net/10365/31738.

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In the modern society, mobile is gradually going to become all about video streaming. The main reasons of video growth are mobile devices such as smartphones and tablets which enable people to have access to videos they would like to watch at anywhere and anytime. However, due to the large video data size and intensive computation, video processing leads to a huge power consumption. Mobile system designers typically focus on hardware-level power optimization techniques without considering how hardware performance interfaces with viewer experience. In my research, I investigated how viewing context factors affect mobile viewing experience. Furthermore, a viewer-aware intelligent mobile video system was designed to optimize power efficiency automatically in real-time according to the viewing context and maintain the same viewing experience. Our research opened a door for developments of future viewer-aware mobile system design, accelerating low-cost mobile devices with longer battery life.
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Malachowska, Julia, and Miko Nore. "Emulation of Analog Front-End isoSPI communication for Battery Management Systems." Thesis, KTH, Mekatronik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297789.

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This study aims to investigate how an emulator could be developed as a testing tool for Battery Management Systems (BMS) by emulating the Analog Front­end (AFE) circuit communicating with a control unit for monitoring of Lithium­Ion Batteries. All of the research was conducted in the context of the company Northvolt. By analysing data collected through a questionnaire, it was evident that an emulator testing tool could potentially make the BMS development process significantly more efficient. A demonstrator was developed as a part of the study. It fulfilled almost all of the requirements initially stated, but required the control unit to send commands in a fixed sequence, which the current BMS control unit did not. A fixed sequence would however enable the incorporation of the developed emulator, as well as introducing other advantages such as predictability. The study showed that the most important factor to consider for developing an AFE communication emulator for BMS testing was robustness and repeatability of the timings of the communication signals.
Syftet med denna studie var att undersöka hur ett testverktyg baserat på en emulator skulle kunna utvecklas för batteristyrsystem. Studien genomfördes på batteriföretaget Northvolt. Genom att analysera data insamlad via ett frågeformulär framgick det tydligt att ett testverktyg baserat på en emulator hade god potential att göra utvecklingsprocessen av batteristyrsystem mer effektiv. En prototyp utvecklades som en del av studien. Denna uppfyllde nästan alla de initialt uppsatta kraven, men var anpassad för kommunikation i en fix sekvens, till skillnad från det aktuella systemet hos företaget. Via studien fann man att implementationen av en fix kommunikationssekvens skulle medföra önskvärda egenskaper hos systemet såsom förutsägbarhet. Vidare visade studien att den viktigaste faktorn att ta i beaktning för utveckling av en emulator var robusthet och repeterbarhet hos timingen av kommunikationssignalerna. Detta eftersom kommunkationen mellan enheter förlitar sig på korrekt timing av varje skickad bit för korrekt inlästa meddelanden.
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MALACHOWSKA, JULIA, and MIKO NORE. "Emulation of Analog Front-End isoSPI communication for Battery Management Systems." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299264.

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This study aims to investigate how an emulator could be developed as a testing tool for Battery Management Systems (BMS) by emulating the Analog Front-end (AFE) circuitcommunicating with a control unit for monitoring of Lithium-Ion Batteries. All of the research was conducted in the context of the company Northvolt. By analysing data collected through a questionnaire, it was evident that an emulator testing tool could potentially make the BMS development process significantly more efficient. A demonstrator was developed as a part of the study. It fulfilled almost all of the requirements initially stated, but required the control unit to send commands in a fixed sequence, which the current BMS control unit did not. A fixed sequence would however enable the incorporation of the developed emulator, as well as introducing other advantages such as predictability. The study showed that the most important factor to consider for developing an AFE communication emulator for BMS testing was robustness and repeatability of the timings of the communication signals.
Syftet med denna studie var att undersöka hur ett testverktyg baserat på en emulator skulle kunna utvecklas för batteristyrsystem. Studien genomfördes på batteriföretaget Northvolt. Genom att analysera data insamlad via ett frågeformulär framgick det tydligt att ett testverktyg baserat på en emulator hade god potential att göra utvecklingsprocessen av batteristyrsystem mer effektiv. En prototyp utvecklades som en del av studien. Denna uppfyllde nästan alla de initialt uppsatta kraven, men var anpassad för kommunikation i en fix sekvens, till skillnad från det aktuella systemet hos företaget. Via studien fann man att implementationen av en fix kommunikationssekvens skulle medföra önskvärda egenskaper hos systemet såsom förutsägbarhet. Vidare visade studien att den viktigaste faktorn att ta i beaktning för utveckling av en emulator var robusthet och repeterbarhet hos timingen av kommunikationssignalerna. Detta eftersom kommunkationen mellan enheter förlitar sig på korrekt timing av varje skickad bit för korrekt inlästa meddelanden.
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Sarban, Singh Ranjit Singh. "A design scheme of energy management, control, optimisation system for hybrid solar-wind and battery energy storages system." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13788.

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Hybrid renewable energy system was introduced to improve the individual renewable energy power system’s productivity and operation-ability. This circumstance has led towards an extensive technological study and analysis on the hybrid renewable energy system. The extensive technological study is conducted using many different approaches, but in this research the linear programming, artificial intelligence and smart grid approaches are studied. This thesis proposed a complete hardware system development, implementation and construction of real-time DC Hybrid Renewable Energy System for solar-wind-battery energy source integrated with grid network support. The proposed real-time DC HRES hardware system adopts the hybrid renewable energy system concept which is composed of solar photovoltaic, wind energy system, battery energy storage system and grid network support. The real-time DC HRES hardware system research work is divided into three stages. Stage 1 involves modelling and simulation of the proposed system using MATLAB Simulink/Stateflow software. During this stage, system’s methodological design and development is emphasised. The obtained results are considered as fundamental finding to design, develop, integrate, implement and construct the real-time DC HRES hardware system. Stage II is designing and developing the electronic circuits for the real-time DC HRES hardware system using PROTEUS software. Real time simulation is performed on the electronic circuits to study and analyse the circuit’s behaviour. This stage also involves embedded software application development for the microcontroller PIC16F877A. Thus, continuous dynamic decision-making algorithm is developed and incorporated into microcontroller PIC16F877A. Next, electronic circuits and continuous dynamic decision-making algorithm are integrated with the microcontroller PIC16F877A as a real-time DC HRES hardware system to perform real time simulation. The real-time DC HRES hardware system simulation results are studied, analysed and compared with the results obtained in Stage 1. Any indifference between the obtained results in Stage 1 and Stage 2 are analysed and necessary changes are made. Stage 3 involves integrating, implementation and construction of real-time DC HRES. The continuous dynamic decision-making algorithm is also incorporated into the real microcontroller PCI16F877A development board. Real-time DC HRES’s experimental results have successfully demonstrated the system’s ability to perform supervision, coordination, management and control of all the available energy sources with lease dependency on the grid network. The obtained results demonstrated the energy management and optimisation of the available energy sources as primary power source deliver.
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Book chapters on the topic "Embedded battery"

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Gemma, Maria Ausilia, and Donata Nicolosi. "Battery Modelling in Embedded Systems." In Microelectronics and Microsystems, 85–107. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0671-5_5.

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Chang, Wanli, Swaminathan Narayanaswamy, Alma Pröbstl, and Samarjit Chakraborty. "Reliable CPS Design for Unreliable Hardware Platforms." In Dependable Embedded Systems, 545–63. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52017-5_23.

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AbstractToday, many battery-operated cyber-physical systems (CPS) ranging from domestic robots, to drones, and electric vehicles are highly software-intensive. The software in such systems involves multiple feedback control loops that implement different functionality. How these control loops are designed is closely related to both the semiconductor aging of the processors on which the software is run and also the aging of the batteries in these systems. For example, sudden acceleration in an electric vehicle can negatively impact the health of the vehicle’s battery. On the other hand, processors age over time and stress, impacting the execution of control algorithms and thus the control performance. With increasing semiconductor scaling, and our increasing reliance on battery-operated devices, these aging effects are of concern for the lifetime of these devices. Traditionally, the design of the control loops focused only on control-theoretic metrics, related to stability and performance (such as peak overshoot or settling time). In this chapter we show that such controller design techniques that are oblivious of the characteristics of the hardware implementation platform dramatically worsen the battery behaviour and violate the safety requirement with processor aging. However, with proper controller design these effects can be mitigated—thereby improving the lifetime of the devices.
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Lai, Elaine, Andrew Redfern, and Paul Wright. "Vibration Powered Battery-Assisted Passive RFID Tag." In Embedded and Ubiquitous Computing – EUC 2005 Workshops, 1058–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596042_108.

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Li, Maode, Feng Wang, and Duying Wang. "Preheating Simulation of Power Battery." In Proceedings of the International Conference on Human-centric Computing 2011 and Embedded and Multimedia Computing 2011, 617–25. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2105-0_55.

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Buchli, Bernhard, Daniel Aschwanden, and Jan Beutel. "Battery State-of-Charge Approximation for Energy Harvesting Embedded Systems." In Lecture Notes in Computer Science, 179–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36672-7_12.

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Wen, Ye, Rich Wolski, and Chandra Krintz. "Online Prediction of Battery Lifetime for Embedded and Mobile Devices." In Power-Aware Computer Systems, 57–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-28641-7_5.

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Wognsen, Erik Ramsgaard, Boudewijn R. Haverkort, Marijn Jongerden, René Rydhof Hansen, and Kim Guldstrand Larsen. "A Score Function for Optimizing the Cycle-Life of Battery-Powered Embedded Systems." In Lecture Notes in Computer Science, 305–20. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22975-1_20.

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Fornari, Xavier. "Battery Management System: From Safe Architecture Definition to System Simulation with Embedded Software." In Electronic Components and Systems for Automotive Applications, 85–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14156-1_8.

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Turchan, Krzysztof, and Krzysztof Piotrowski. "Low Voltage Warning System for Stand-Alone Metering Station Using AI on the Edge." In Digital Interaction and Machine Intelligence, 107–14. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11432-8_10.

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AbstractArtificial intelligence is used in many different aspects of life these days. It is also increasingly used to create intelligent embedded devices. Their main task is to demonstrate intelligent features using limited hardware resources. This paper introduces the possibility of using AI on the Edge as a system to warn of low voltage on the battery in a stand-alone metering station powered by solar panels. The paper presents theoretical knowledge about artificial intelligence on the Edge, time series and algorithms in time series forecasting. In addition, a practical approach is presented in the Approach section. It also describes the stand-alone measurement station that was used, what type of data was collected and used, and what type of the time series forecasting algorithm was used. The main advantage of the approach is the practical use of Holt’s Linear Trend method in battery voltage forecasting. Work on the project is still in progress therefore the results presented in the paper are generated during simulation.
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Mahalakshmi, M., B. Soundara, and C. D. Hashini. "Experimental and Numerical Investigation of Combined Batter Pile–Raft Foundation Embedded in Sand." In Lecture Notes in Civil Engineering, 357–63. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6346-5_31.

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Conference papers on the topic "Embedded battery"

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Raskovic, Dejan, and David Giessel. "Battery-Aware Embedded GPS Receiver Node." In 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services (MobiQuitous). IEEE, 2007. http://dx.doi.org/10.1109/mobiq.2007.4450986.

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Steinhorst, Sebastian, Martin Lukasiewycz, Swaminathan Narayanaswamy, Matthias Kauer, and Samarjit Chakraborty. "Smart Cells for Embedded Battery Management." In 2014 IEEE International Conference on Cyber-Physical Systems, Networks, and Applications (CPSNA). IEEE, 2014. http://dx.doi.org/10.1109/cpsna.2014.22.

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Wuyts, Roel. "Challenging VMs on battery-powered embedded devices." In the Third Workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1711506.1711511.

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Cheung, Newton, Sri Parameswaran, and Jörg Henkel. "Battery-aware instruction generation for embedded processors." In the 2005 conference. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1120725.1120960.

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Walk, Jasmin, Julian Elsensohn, Moritz Fischer, and Thomas Ussmueller. "Battery-Less ECG Embedded in Smart Textiles." In 2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC). IEEE, 2022. http://dx.doi.org/10.1109/imbioc52515.2022.9790093.

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Panigrahi, Debashis, Carla Chiasserini, Sujit Dey, Ramesh Rao, Anand Raghunathan, and Kanishka Lahiri. "Battery life estimation of mobile embedded systems." In Proceedings of 14th International Conference on VLSI Design. IEEE, 2001. http://dx.doi.org/10.1109/icvd.2001.902640.

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Johnsema, B., and K. Janakiraman. "Reliable SOC estimation for battery powered embedded system." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7034143.

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Ferry, Nicolas, Sylvain Ducloyer, Nathalie Julien, and Dominique Jutel. "Fast electrical battery model builder for embedded systems." In 2011 Faible Tension Faible Consommation (FTFC). IEEE, 2011. http://dx.doi.org/10.1109/ftfc.2011.5948915.

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Zhang, Jiucai, Song Ci, and Xueyi Wang. "Battery energy consumption footprint of embedded multimedia systems." In 2010 International Conference on Green Computing (Green Comp). IEEE, 2010. http://dx.doi.org/10.1109/greencomp.2010.5598264.

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Simunic, Tajana, Luca Benini, and Giovanni De Micheli. "Energy-efficient design of battery-powered embedded systems." In the 1999 international symposium. New York, New York, USA: ACM Press, 1999. http://dx.doi.org/10.1145/313817.313928.

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Reports on the topic "Embedded battery"

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Heeger, Derek, Michael E. Partridge, Von Trullinger, and Daniel Edward Wesolowski. Lithium Battery Health and Capacity Estimation Techniques Using Embedded Electronics. Office of Scientific and Technical Information (OSTI), October 2017. http://dx.doi.org/10.2172/1596204.

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