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可再充电锌空气电池的放电性能和动态行为。

Discharge performance and dynamic behavior of refuellable zinc-air battery.

机构信息

Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand.

Laboratory of Signals and Systems, CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France.

出版信息

Sci Data. 2019 Sep 9;6(1):168. doi: 10.1038/s41597-019-0178-3.

Abstract

Zinc-air batteries (ZABs) are considered a promising energy storage system. A model-based analysis is one of the effective approaches for the study of ZABs. This technique, however, requires reliable discharge data as regards parameter estimation and model validation. This work, therefore, provides the data required for the modeling and simulation of ZABs. Each set of data includes working time, cell voltage, current, capacity, power, energy, and temperature. The data can be divided into three categories: discharge profiles at different constant currents, dynamic behavior at different step changes of discharge current, and dynamic behavior at different random step changes of discharge current. Constant current discharge profile data focus on the evolution of voltage through time. The data of step changes emphasize the dynamic behavior of voltage responding to the change of discharge current. Besides, the data of random step changes are similar to the data of step changes, but the patterns of step changes are random. Such data support the modeling of a zinc-air battery for both theoretical and empirical approaches.

摘要

锌空气电池(ZABs)被认为是一种很有前途的储能系统。基于模型的分析是研究 ZABs 的有效方法之一。然而,这种技术需要可靠的放电数据来进行参数估计和模型验证。因此,这项工作提供了用于 ZABs 建模和模拟所需的数据。每组数据包括工作时间、电池电压、电流、容量、功率、能量和温度。这些数据可以分为三类:不同恒定电流下的放电曲线、不同放电电流阶跃变化下的动态行为以及不同放电电流随机阶跃变化下的动态行为。恒流放电曲线数据侧重于电压随时间的演变。阶跃变化的数据强调了电压对放电电流变化的动态响应行为。此外,随机阶跃变化的数据与阶跃变化的数据相似,但阶跃变化的模式是随机的。这些数据支持了锌空气电池的建模,既可以采用理论方法,也可以采用经验方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bddb/6733928/c6606051557c/41597_2019_178_Fig1_HTML.jpg

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