Relevant bibliographies by topics / Battery Computer System

Contents

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

Academic literature on the topic 'Battery Computer System'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Battery Computer System"

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Zeng, Jie, Jia Jia Sun, and Yuan Ma. "The System Architecture Design about Test Platform of Battery Management System." Advanced Materials Research 645 (January 2013): 217–20. http://dx.doi.org/10.4028/www.scientific.net/amr.645.217.

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The battery management technology is one of the key technologies in new energy battery promotion and application, and it is related to the security and life of the battery. For the convenience of a battery management system scale production in the future, a kind of test platform architecture is proposed according to the developed battery management system. The architecture includes a battery management system test platform and the tested battery management system, the battery management system test platform consists of the battery simulation signal source and the man-machine interface of the h
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Yarn, Kao Feng, King Kung Wu, and Wen Bin Lin. "Computer Graphic Control on the Battery Monitoring System." Advanced Materials Research 219-220 (March 2011): 832–35. http://dx.doi.org/10.4028/www.scientific.net/amr.219-220.832.

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In this study, the MITSUBISHI PLC (FX2n-32MR) is used to achieve the lead-acid battery monitoring system. The battery is by way of rater and FX-2AD used in charging state. The analog and digital data are transmitted to PLC to get the real-time monitoring and control. During charging, time and voltage keep constant to reach charging optimization condition. In addition, AD590 is used as reference measurement and battery protection in temperature control.
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Huang, Chao. "FPGA-Based Battery Management System." Applied Mechanics and Materials 543-547 (March 2014): 792–95. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.792.

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This article introduces a battery management system of portable receiver or equipment based on a FPGA chip for control. This design can control the charge-discharge process and obtain the battery information through a SoPC, which can transfer the information to the upper computer for displaying and managing through the interface between the local and the network, or warn and deal with the abnormal condition according to the information. This design can be widely used in portable embedded system or digital system for power supply.
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Bae, Jin-Yong. "Over-Temperature-Protection Circuit for LED-Battery Power-Conversion System Using Metal-Insulator-Transition Sensor." Energies 13, no. 14 (2020): 3593. http://dx.doi.org/10.3390/en13143593.

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Extracting renewable energy from solar and wind energy systems, fuel cells, and tidal power plants requires DC distribution and energy storage devices. In particular, a metal-insulator-transition (MIT) sensor can be applied to the over-temperature-protection (OTP) circuit, to stop the LED-battery power-conversion system when over-temperature occurs. Recently, there have been instances of battery systems catching fire because of poor battery design, over-charging, over-voltage, cell balancing failure, and an inadequate battery management system circuit. For continuous stabilization using an LED
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Wu, Lai Jie, Liang Huang, Bin Ma, and Xue Bing Li. "A Formation System of Large-Capacity Power Li-Ion Battery." Applied Mechanics and Materials 446-447 (November 2013): 796–801. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.796.

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This paper designed a large-capacity Li-ion battery formation system, and illustrated its composition and working principle. The formation system uses a programmable voltage-limiting and constant-current control circuit with voltage-limiting protection function to prevent Li-ion battery over-charge and over-discharge. The system consists of a upper computer (server) and a number of lower computers (formation units) linked with 485 bus. The server can monitor formation process and record formation data in real-time. By testing, the system has good characteristics, such as large charge and disch
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Cai, Yong, Ji Wei Deng, and Tai Hong Wang. "Design of Multi-Channel Lithium-Ion Battery Test System." Advanced Materials Research 694-697 (May 2013): 1358–62. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.1358.

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At present, the Lithium-ion battery are the most used batteries in a large number of applications because of its high performances. It is important for Lithium-ion battery to make objective and accurate judgment to its performances before the practical application. A multi-channel high precision Lithium-ion battery test system, which could realize complex measure control, was designed in this paper. The system consists of upper computer (PC) and lower computer (control circuit unit). The communication between upper computer and lower computer is through RS-485 bus. The control circuit unit, wh
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Ding, Dian Kuan, and Yi Wan. "Design of the Monitoring and Matching System of the Visualization Battery Unit Based on PC Machine." Applied Mechanics and Materials 63-64 (June 2011): 373–76. http://dx.doi.org/10.4028/www.scientific.net/amm.63-64.373.

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By analyzing the application of the battery, the battery voltage monitoring system, lower computer and host computer communication system, and host computer visualization VB6.0 monitoring with battery group platform are designed based on multi-channel multi-MCU and the PC-based interactive respectively. In addition, the corresponding softwares are designed to achieve optimization of static and dynamic parameters matching. Practice has proved that the design has a fairly value for further perfecting the optimization of the battery matching.
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Wan, Yi Peng, and Wei Yao. "Development of Battery Test System for Electric Vehicle." Applied Mechanics and Materials 333-335 (July 2013): 1699–703. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1699.

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In order to satisfy the test demand of Electric Vehicle batteries, after the analysis of the existing battery test systems, aiming at the problems of them, an EV battery test platform with high degree of simulation is designed, based on the upper and lower computer structure. The PC software is compiled, which could control the battery to discharge with constant current or constant power, or to simulate the real road status, by the communication with the lower computer through CAN bus and 485 bus. The corresponding control method to realize the discharging test with constant current is designe
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Luo, Yong Gang. "The Intelligent Monitor System for Battery." Applied Mechanics and Materials 130-134 (October 2011): 3522–25. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.3522.

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The system is a new on-line monitor system. Which is consisted of a master station , which is a computer with intelligent CAN-bus interface unit, and a slave station, which is a monitor module for battery parameter measure. The paper introduced the hardware at first, which composed of the CPU circuit, the canbus interface, and then, focus on the software design , including the automatic monitoring of CAN bus transmission,the A/D sampling.
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Lee, Jeong, Jun-Mo Kim, Junsin Yi, and Chung-Yuen Won. "Battery Management System Algorithm for Energy Storage Systems Considering Battery Efficiency." Electronics 10, no. 15 (2021): 1859. http://dx.doi.org/10.3390/electronics10151859.

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Aging increases the internal resistance of a battery and reduces its capacity; therefore, energy storage systems (ESSs) require a battery management system (BMS) algorithm that can manage the state of the battery. This paper proposes a battery efficiency calculation formula to manage the battery state. The proposed battery efficiency calculation formula uses the charging time, charging current, and battery capacity. An algorithm that can accurately determine the battery state is proposed by applying the proposed state of charge (SoC) and state of health (SoH) calculations. To reduce the initia
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Dissertations / Theses on the topic "Battery Computer System"

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Schultz, Aaron M. "Digital control of contactless battery charging system." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/37031.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.<br>Includes bibliographical references (leaves 230-234).<br>by Aaron M. Schultz.<br>Ph.D.
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Yurkovich, Benjamin J. "Electrothermal Battery Pack Modeling and Simulation." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281632214.

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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 is
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Mihailovic, Nemanja. "A Cost Benefit Analysis of Using a Battery Energy Storage System (BESS) Represented by a Unit Commitment Model." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7548.

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This thesis aims to provide a general overview of a cost and benefit analysis of incorporating a battery energy storage system within unit commitment model. The deregulation of the electricity market in the U.S. has only been around for the last two decades. With renewable energy and energy storage systems becoming less expensive, a decentralized market scheme is becoming more popular and plausible. The scope of this work is to provide a fundamental understanding of unit commitment and a cost analysis of applying a battery energy storage system to an already established power system. A battery
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Yarlagadda, Sriram. "A Battery Management System Using an Active Charge Equalization Yechnique Based on DC-DC Converter Topology." University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1306852610.

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Shah, Syed Fawad Ali. "Intelligent Algorithms for a Hybrid FuelCell/Photovoltaic Standalone System : Simulation Of Hybrid FuelCell/Photovoltaic Standalone System." Thesis, Högskolan Dalarna, Datateknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-10046.

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The Intelligent Algorithm is designed for theusing a Battery source. The main function is to automate the Hybrid System through anintelligent Algorithm so that it takes the decision according to the environmental conditionsfor utilizing the Photovoltaic/Solar Energy and in the absence of this, Fuel Cell energy isused. To enhance the performance of the Fuel Cell and Photovoltaic Cell we used batterybank which acts like a buffer and supply the current continuous to the load. To develop the main System whlogic based controller was used. Fuzzy Logic based controller used to develop this system,bec
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Ferreira, Paulo. "Emprego e implementação do Sistema Automático de Comando e Controlo no grupo de Artilharia de Campanha da Brigada de Intervenção." Master's thesis, Academia Militar. Direção de Ensino, 2008. http://hdl.handle.net/10400.26/7325.

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O Sistema Automático de Comando e Controlo visa auxiliar o Comandante na aplicação e integração de todo o Apoio de Fogos no Campo de Batalha, através do emprego de quatro subsistemas: o Advanced Field Artillery Tactical Data System, o Battery Computer System, o Forward Observer System e o Gun Display Unit – Replacement. Estes quatro subsistemas equipam os vários elementos e órgãos de planeamento, coordenação e execução do Apoio de Fogos. Para a execução deste trabalho foi proposto determinar, relativamente ao Grupo de Artilharia de Campanha da Brigada de Intervenção, a
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Jacoby, Grant A. "Battery-based intrusion detection /." This resource online, 2005. http://scholar.lib.vt.edu/theses/available/etd-04212005-120840.

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Geerdts, Philip Clifford. "Computer simulation of stand-alone photovoltaic systems with battery storage." Master's thesis, University of Cape Town, 1991. http://hdl.handle.net/11427/22177.

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Bibliography: pages 58-59.<br>This report describes a computer program which has been developed to simulate accurately the performance of stand alone photovoltaic systems with battery storage on an hourly basis for one simulated year. The program incorporates models of the POA irradiance, the photovoltaic cell · temperature and the battery temperature to simulate the environmental conditions of the system. These require hourly weather data as input. Typical meteorological years, which constitute a suitable form of input weather data, have been generated for those weather stations in Southern A
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Nash, Daniel Charles. "An Intrusion Detection System for Battery Exhaustion Attacks on Mobile Computers." Thesis, Virginia Tech, 2005. http://hdl.handle.net/10919/33221.

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<p> Mobile personal computing devices continue to proliferate and individualsâ reliance on them for day-to-day needs necessitate that these platforms be secure. Mobile computers are subject to a unique form of denial of service attack known as a battery exhaustion attack, in which an attacker attempts to rapidly drain the battery of the device. Battery exhaustion attacks greatly reduce the utility of the mobile devices by decreasing battery life. If steps are not taken to thwart these attacks, they have the potential to become as widespread as the attacks that are currently mounted against d
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Books on the topic "Battery Computer System"

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S, Kruijt Wanda, and Notten P. H. L, eds. Battery management systems: Design by modelling. Kluwer Academic, 2002.

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Gibson, Elton Ray Jr. An underwater seawater battery monitor and telementry recording system. 1986.

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United States. Dept. of the Army, ed. Operation of Battery Computer System (BCS) AN/GYK-29 with SINCGARS ground radio sets. Headquarters, Dept. of the Army, 1994.

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Bergveld, Henk Jan, Paul P. L. Regtien, Valer Pop, Dmitry Danilov, and Peter H. L. Notten. Battery Management Systems: Accurate State-of-Charge Indication for Battery-Powered Applications. Springer, 2010.

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Battery Management Systems Design By Modelling. Kluwer Academic Publishers, 2010.

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Book chapters on the topic "Battery Computer System"

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Bouček, Zdeněk, Petr Neduchal, and Miroslav Flídr. "DronePort: Smart Drone Battery Management System." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87725-5_2.

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Shi, Yanpeng, and Guoxin Wu. "A New Practical Electric Vehicle Battery Management System." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-18129-0_106.

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Cheng, Yu-Shan, Jing-Hsiau Chen, Yi-Feng Luo, Chun-Wei Ko, and Yi-Hua Liu. "Design of a Smart Battery System for Laptop Computer." In Intelligent Technologies and Engineering Systems. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-6747-2_64.

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Jia, JiLin. "Design and Research of Battery Charged Intelligent System." In Advances in Computer Science, Intelligent System and Environment. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23777-5_2.

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Ma, Haiping, Pengcheng You, Kailong Liu, Zhile Yang, and Minrui Fei. "Optimal Battery Charging Strategy Based on Complex System Optimization." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6364-0_37.

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Zhang, Changnian, Fang Yang, and Jian Wang. "10 Series Battery Protection System Design Based on S-8261." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21411-0_47.

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Zhang, Lixia, Qingbo Kang, and Changchun Liang. "Study on Computer Output Characteristic of CSI Based on Battery Material." In Advances in Computer Science, Intelligent System and Environment. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23753-9_34.

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Deng, Jing, Kang Li, David Laverty, Weihua Deng, and Yusheng Xue. "Li-Ion Battery Management System for Electric Vehicles - A Practical Guide." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45286-8_4.

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Dongol, Deepranjan, Thomas Feldmann, Michael Schmidt, and Elmar Bollin. "A MPC Based Peak Shaving Application for a Household with Photovoltaic Battery System." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26633-2_3.

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Mad Zain, Mohd Nurhadi, Norzanah Rosmin, Nor Khairunnisa Sidek, Aede Hatib Musta’amal@Jamal, Maherah Hussin, and Dalila Mat Said. "Maximum Power Point Tracking (MPPT) Battery Charger for a Small Wind Power System." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6502-6_4.

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Conference papers on the topic "Battery Computer System"

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Li Siguang and Zhang Chengning. "Study on Battery Management System and Lithium-ion Battery." In 2009 International Conference on Computer and Automation Engineering. ICCAE 2009. IEEE, 2009. http://dx.doi.org/10.1109/iccae.2009.11.

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Hommalai, Chanikarn, and Surin Khomfoi. "Battery monitoring system by detecting dead battery cells." In 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2015. http://dx.doi.org/10.1109/ecticon.2015.7206976.

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Yang, Chao Hua, Hsiang Sheng Lo, and Hsiang Pin Chui. "Switching-Mode Battery Test System." In 2014 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2014. http://dx.doi.org/10.1109/is3c.2014.164.

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Artakusuma, Dwi Dharma, Hadha Afrisal, Adha Imam Cahyadi, and Oyas Wahyunggoro. "Battery management system via bus network for multi battery electric vehicle." In 2014 International Conference on Electrical Engineering and Computer Science (ICEECS). IEEE, 2014. http://dx.doi.org/10.1109/iceecs.2014.7045241.

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Prompinit, Krisada, and Surin Khomfoi. "Battery Management System for Microgrid Applications." In 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2018. http://dx.doi.org/10.1109/ecticon.2018.8619879.

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Eren, S., J. Y. Hui, D. To, and D. Yazdani. "A High Performance Wind-Electric Battery Charging System." In 2006 Canadian Conference on Electrical and Computer Engineering. IEEE, 2006. http://dx.doi.org/10.1109/ccece.2006.277806.

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Elkerdany, Mohamed Sameh, Ibrahim Mohamed Safwat, Ahmed Medhat Mohamed Yossef, and Mohamed M. Elkhatib. "Hybrid Fuel Cell/Battery Intelligent Energy Management system for UAV." In 2020 16th International Computer Engineering Conference (ICENCO). IEEE, 2020. http://dx.doi.org/10.1109/icenco49778.2020.9357393.

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Hassan, Ahmed Gaber, Haitham Hassan, Mahmoud Abu Zeid, and Moataz Soliman. "Maximum power battery charging from PV system microcontroller based." In 2012 22nd International Conference on Computer Theory and Applications (ICCTA). IEEE, 2012. http://dx.doi.org/10.1109/iccta.2012.6523555.

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Brar, Amar, Robert Sanborn, Amr Radwan, and Xichen Jiang. "A Mobile Photovoltaic-Battery System for Off-Grid Applications." In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). IEEE, 2020. http://dx.doi.org/10.1109/icecce49384.2020.9179339.

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Mendis, Nishad, Kashem M. Muttaqi, Saad Sayeef, and Sarath Perera. "Operation of a wind-diesel-battery based hybrid Remote Area Power Supply system." In Computer Engineering (ICECE). IEEE, 2010. http://dx.doi.org/10.1109/icelce.2010.5700696.

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