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Accurate estimations of battery parameter and state play an important role in promoting the commercialization of electric vehicles. This paper tries to make three contributions to the existing literatures through advanced time scale separation algorithm. (1) A lumped parameter battery model was improved for achieving accurate voltage estimate against different battery aging levels through an electrochemical equation, which has enhanced the relationship of battery voltage to its State-of-Charge (SoC) and capacity. (2) A multi-scale extended Kalman filtering was proposed and employed to execute the online measured data driven-based battery parameter and SoC estimation with dual time scales in regarding that the slow-varying characteristic on battery parameter and fast-varying characteristic on battery SoC, thus the battery parameter was estimated with macro scale and battery SoC was estimated with micro scale. (3) The accurate estimate of battery capacity and SoC were obtained in real-time through a data-driven multi-scale extended Kalman filtering algorithm. Experimental results on various degradation states of lithium-ion polymer battery cells further verified the feasibility of the proposed approach. (C) 2013 Elsevier Ltd. All rights reserved.


Xiong, Rui;  Sun, Fengchun;  Chen, Zheng;  He, Hongwen

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  • Abstract, title and references ● Is the aim clear? Yes ● Is it clear what the study found and how they did it? Yes ● Is the title informative and relevant? Yes ● Are the references: ● Relevant? Yes ● Recent? Yes ● Referenced correctly? Yes ● Are appropriate key studies included? Yes Introduction/ background ● Is it clear what is already known about this topic? Yes ● Is the research question clearly outlined? Yes ● Is the research question justified given what is already known about the topic? Yes Methods ● Is the process of subject selection clear? Yes ● Are the variables defined and measured appropriately? Yes ● Are the study methods valid and reliable? To some Extent ● Is there enough detail in order to replicate the study? Yes Results ● Is the data presented in an appropriate way? Yes ● Tables and figures relevant and clearly presented? Yes ● Appropriate units, rounding, and number of decimals? Yes ● Titles, columns, and rows labelled correctly and clearly? Yes ● Categories grouped appropriately? Yes ● Does the text in the results add to the data or is it repetitive? repetitive ● Are you clear about what is a statistically significant result? Yes ● Are you clear about what is a practically meaningful result? Yes Discussion and Conclusions ● Are the results discussed from multiple angles and placed into context without being over interpreted? Yes ● Do the conclusions answer the aims of the study? To some extent ● Are the conclusions supported by references or results? Yes ● Are the limitations of the study fatal or are they opportunities to inform future research? Needs Future Research.

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