کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1284722 973084 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Composite electrodes of disordered carbon and graphite for improved battery state estimation with minimal performance penalty
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
پیش نمایش صفحه اول مقاله
Composite electrodes of disordered carbon and graphite for improved battery state estimation with minimal performance penalty
چکیده انگلیسی

Voltage based state of charge (SOC) estimation is challenging for lithium ion batteries that exhibit little open circuit voltage (OCV) change over a large SOC range. We demonstrate that by using a composite negative electrode composed of disordered carbon and graphite, we were able to introduce additional features to the OCV–SOC relationship that facilitate voltage-based SOC estimation. In contrast to graphite, the potential of disordered carbon is sensitive to the state of charge; this behavior, when manifested in a lithium ion battery, gives rise to additional beneficial features of the cell OCV–SOC relationship in terms of state estimation. We have demonstrated the effectiveness of the approach by comparing model simulations and corresponding experimental data of a cell composed of LiFePO4 positives and graphite + disordered carbon composite negative electrodes. Last, we find that although the graphite material has a higher coulombic capacity, very little (dynamic) performance loss is manifest with the mixed graphite + disordered carbon composite is employed.


► We have constructed and analyzed a Graphite (SG)/disorder carbon (MCMB) composite electrode.
► The composite electrode has been shown to exhibit good rate capability and cycling stability.
► The sloping voltage towards the end of discharge improves enhances voltage-based SOC estimation.
► We show a straightforward application of OCV relations to formulate the composite equilibrium potential.
► Demonstrated that composite electrode provides an early warning and facilitates voltage-based SOC estimation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Power Sources - Volume 196, Issue 22, 15 November 2011, Pages 9648–9653
نویسندگان
, , , ,