Other Parts Discussed in Thread: GPCCHEM, GPCRA0, GPCRB, BQ34Z100
Tool/software:
Hello, I have some questions about what a complete optimization looks like for a li-ion battery pack. Right now, our process looks like:
GPCRA0 cycle: https://www.ti.com/lit/ug/sluubc9/sluubc9.pdf?ts=1733931003514&ref_url=https%253A%252F%252Fwww.ti.com%252Ftool%252FGPCRA0
GPCRB cycle: https://www.ti.com/lit/ug/sluubd0/sluubd0.pdf?ts=1721677479408&ref_url=https%253A%252F%252Fwww.google.com%252F
After this, we would generate a "Pre-Golden image" where we program a fresh srec file on the fuel gauge, configure the data flash parameters with pack configuration and information derived from GPCRA0 cycle, program the chemistry found by the GPCRB cycle, Calibrate for voltage & current.
Once the Pre-Golden image is saved as a .srec file, we would enable IT and run a cycle with a 1C charge, wait for OCV measurement, DSG at 1C, wait for OCV measurement, and repeat 3 times. once that is done, we would save this as our totally complete golden image.
All of these steps were taken from an internal document at our company and the author is no longer around. I havent seen all of these steps in the BQ34Z100 datasheet when its talking about running a optimization/learning cycle. Are all of these steps necessary? What is the value that is gained by running the GPCRA0 and GPCRB cycles? Will running a GPCCHEM ID and traditional learning cycle be enough for generating a golden image for a pack?
For context, this is for a 12S lithium-ion battery pack
Thanks