期刊
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
卷 41, 期 2, 页码 151-181出版社
WILEY
DOI: 10.1002/er.3598
关键词
battery state estimation; state of health; remaining useful life; battery model; embedded application; battery fuel gauge
资金
- Romanian National Authority for Scientific Research and Innovation, CNCS - UEFISCDI [PN-II-RU-TE-2014-4-0731]
Estimating the dynamic status parameters of a battery, such as its state of health (SoH) and remaining useful life (RUL), is still a very difficult and complex task. In this paper we perform a structured review of the most relevant state of the art models, algorithms and commercial devices employed in the estimation of the SoH/RUL battery performance figures, in the context of embedded applications. The models and estimation techniques are thoroughly classified and, for each taxonomy class, a presentation of the working principles is made. A comprehensive set of metrics is then introduced for the evaluation of the SoH/RUL estimation techniques from the perspective of their implementation and operation efficiency in embedded systems. These algorithms are then analyzed and discussed in a comparative manner, with concrete figures and results. The capability and the performance of the different types of off-the-shelf fuel gauges to estimate the battery SoH/RUL parameters are also evaluated in this paper. Copyright (C) 2016 John Wiley & Sons, Ltd.
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