Other Parts Discussed in Thread: BQ34110, BQ34Z100-G1
Aren't the gauging algorithms based on single cell models?
If so, gauging accuracy would seem best with single cell target batteries.
It would seem that gauging accuracy would be reduced with each cell added in series.
But at least the single cell modelling is accurate when a single cell can be tested.
Even better if multiple single cell tests were used to provide a stochastic cell model.
Has stochastic modeling been considered in gauge development?
I'm curious because I have some expertise with this.
Bottom line is what kind of results can be expected when characterization for ChemID selection and gauge learning is for multiple cells in series?
Each 12V Pack of my target PbA battery is 6 cells sealed so I can't collect data on individual cells.
I'm concerned about this because I understand the precision of the measurements are important for gauging accuracy.
It would seem that characterizing six cells in series as if they were a single cell, significantly obscures the desired single cell behavior even with the best measurement practices.
But perhaps not as badly for PbA chemistry over LiFePO4 for example.
Does the slope of the voltage discharge curve have a bearing on gauging accuracy?
PbA chemistry has a more pronounced slope than say LiFePO4.
If all else is equal in properly applying the gauge to single cells, would the gauging accuracy of the PbA chemistry exceed that of the LiFePO4?