Study on business continuity capability by cooperative operation of photovotaic and battery energy storage system
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In this study, as a new index of facilities, business continuity capability on occasion of an energetically isolated operation, was defined and evaluated for the facility with a rich amount of resources such as private generators, a battery energy storage system and a PV generation system. A methodology was proposed to evaluate a duration during which the facility is self- sustaining regarding energy use. An effect of reducing the capacity of PV or battery was also examined.Keywords:
Battery capacity
Battery storage
Estimating the battery capacity is an efficient way to monitor battery usage in real time. The data-driven capacity estimation methods proposed in the current literature usually require all the voltage, temperature, current data, etc. during the battery operation. However, obtaining such a large amount of data is unrealistic in practical application scenarios. Therefore, in this paper, a convolutional neural network is proposed, which needs only part of the voltage data during the battery discharge process, to estimate the battery capacity. Our model is tested on the Li(NiMnCo)O 2 / carbon battery, and experimental results show that the proposed convolutional neural network model can accurately estimate the battery capacity with limited voltage data.
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In this study, a test device is developed to measure the capacities and performances of high capacity battery banks and to detect broken cells. Through this test device, the instant capacity of the battery banks is measured. Based on the data obtained, both quantitative information about the health of the battery bank is provided and it is determined whether the battery bank will meet the need according to its intended use. In addition, battery banks can be divided into small groups and their measurements can be made so that broken cells can be detected.
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The characterization of a battery to estimate its capacity is a crucial step in open-circuit voltage modelling. The battery capacity estimation is essential to determine diagnostic details on the battery and in determining several other battery parameters. Past research has shown that a normalized open-circuit voltage characterization independent of temperature is also dependent on accurate capacity estimation. In most works, the normalized OCV characterization approaches were done at C/30 rates where the entire data collection took approximately 60 hours. The undesirably long data collection process motivated the need to determine the expected accuracy at lower C-rates in realistic conditions. However, little attention was paid in the literature to investigate capacity estimation error at various C-rates. Thus, in this paper, the battery capacity estimation is repeated at seven C-rates: C/2, C/4, C/8, C/16, C/32, C/64 and C/128, to compare their accuracy using data collected from a laboratory-based battery cycler. It was found that with a lower current rate, a maximum of 0.3 Ah error is observed in the charge capacity. An error of 0.16 Ah was observed for the discharge capacity at the lowest C-rate of C/2 A.
Open-circuit voltage
Battery capacity
Characterization
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In order to improve the estimation accuracy of the range of the electric vehicle (EV), it is necessary to grasp the remaining capacity of the driving battery. It is, however, impossible to measure remaining battery capacity directly. In this paper, we propose a remaining capacity estimation method of the EV driving battery. First, we built the battery model based on an equivalent circuit. Afterwards, we discharged the battery to estimate the parameters of the battery model. Then, we conducted a running test using the EV in order to measure electric power during driving. Finally, we confirmed the validity of the estimation method by estimating the remaining battery capacity utilizing the measurement results and the battery model.
Battery capacity
Electric-vehicle battery
Driving range
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Some of the easiest ways of making battery life longer in portable personal computer (PC) are realizing low power consumption and high capacity battery. Though it is necessary to adopt various techniques for realizing such conditions, it is incomplete to fully satisfy the user requirements for a portable PC, because high capacity battery tends to increase its weight. Therefore, we have to apply some techniques for decreasing weight, including casework. This paper describes various techniques not only to realize low power consumption and high capacity battery, but also to achieve light weight.
Battery capacity
Consumption
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Battery capacity
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Great effort is being made to pack more energy into a battery. Long run-time and small size are the virtues sought for today's portable devices. But without a system to continuously weed out batteries beyond recovery, the benefit of expensive, ultrahigh capacity batteries is defeated. This paper examines battery fleet maintenance and methods to prolong battery life. The choice of battery analyser is discussed.
Battery capacity
Analyser
Battery pack
Service life
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It is very important to prevent the ships from global environmental pollution and to reduce emissions of greenhouse gases. So it is considered very useful with the object of the prevention of environmental pollution to use hybrid ships which operate by batteries in case of it is near from human habitation and they operate on port district is easy to give off an exhaust is produced by the incomplete combustion by the start and stop of the engine. Therefore, in this report, we consider to navigate by all the batteries when it comes into and leaves a port, and it calculates necessary battery capacity, size and charging time, as an example, it cover the several ships navigates in Tokyo Bay, and we discuss about navigation methods to take on batteries of large capacity. It values at number of a container in the way of the batteries put in a familiar container for the ships as for battery size. This shows between superimposed capacity of the cargos etc and battery size, and it complies battery capacity which mounted, and this report discusses battery about the charge methods and the battery charge time. And it shows practical navigation methods as hybrid ship.
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Battery-related problems in mobile devices have been extensively investigated in both industry and literature. In particular, battery aging is a critical issue, since battery lifetime decreases as usage time increases. Battery aging primarily causes inconvenience to users by necessitating frequent recharging, and also affects the accuracy of power estimations for mobile devices. Evaluating battery aging and its effects has rarely been addressed in prior works. In this paper, we propose an online scheme to quantify the battery aging of mobile devices. Specifically, we estimate the degree of battery aging as a ratio metric based on patterns of charging time. For example, an estimate of 50% indicates that the battery capacity is only half of full capacity, meaning that the battery usage time is only approximately half that of the new battery's. Our scheme works autonomously on mobile devices and does not require any external equipment. The extensive experiments demonstrated that the proposed scheme quantifies battery aging accurately.
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In recent years, mobile devices and high-hearth because of the multi-functional, battery usage is increasing. But compared to the required computing power increases the battery's energy capacity of the research is going slowly. In this paper we use the battery discharge characteristics, can be used in battery research and to increase the effective capacity, wireless transmission of power from the system just by turning off the technology to extend battery life is explained. Experimental transmission of images through the standard battery drain intervals according to measuring battery life, and applications used in these experiments and heuristic to optimize battery run time was achieved.
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