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Thus, the accurate estimation of the SoC of the cells in a battery pack is one of the key factors for using them effectively.
This leads to an accurate, robust online SOC estimation for individual cells of a battery pack.
The information potentially available for test-battery selection through the use of this pattern-recognition technique is considerably greater than the qualitative results obtained from individual short-term tests.
The results suggest that battery impedance may provide a useful diagnostic for sealed lead acid batteries if simple calibration experiments are performed on cells of the type to be monitored.
The results show that the optimized test sequence improves the high dynamic battery cell model significantly.
This generic method was validated on three different cells and could be easily extended to any type of battery.
Based on parameters specified by the user, the tester can be configured to test individual cells with different capacities and even small battery packs.
The battery cell HIL testing provided valuable data and critical guidance to evaluate the accuracy of the developed battery algorithms, to accelerate battery algorithm future development and improvement, and to reduce hybrid/electric vehicle system development time and costs.
The proposed method utilizes the direct voltage measurements from the battery cells, and does not require any additional hardware or effort in modeling during fault detection.
Different battery cells exhibit substantial variability due to manufacturing tolerances, which should be assessed and managed carefully.
Journal ArticleDOI
Phillip E. Pascoe, Adnan H Anbuky 
01 Dec 2003-Measurement
This allows the identification of the parameters that are to be acquired and controlled and hence provides the specification for the battery test system.
A wide variety of electrical battery experiments can be done without waiting next to the test system with the proposed software and database.
Proceedings ArticleDOI
Bhanu Sood, Michael Osterman, Michael Pecht 
14 Nov 2013
54 Citations
The cell being monitored can be representative of other cells that are part of a battery pack consisting of multiple cells connected in series, parallel, or a combination.
The verification results show that the proposed method can achieve accurate fault diagnosis for potential battery cell failure and precise locating of thermal runaway cells.
The design closely mimics that of standard battery testing cells and therefore allows to obtain Raman spectra under representative electrochemical conditions.
There is also a good linear regression of the two inflection point location interval versus battery module capacity within 2% error bounds, suggesting that the DVA method inferred from battery cells can be directly applied to battery modules.

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