SDAA074 July   2025 BQ27Z561 , BQ28Z610 , BQ40Z50

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Regular Process
    1. 1.1 Time Needed for Chem ID
    2. 1.2 Time Needed for Golden Learning
    3. 1.3 Time Needed for Low Temperature Test
  5. 2Scenarios for Very Tight Schedule
  6. 3How to Shorten the Time
  7. 4Summary
  8. 5References

3 How to Shorten the Time

This application note provides an implementation which can help to save approximately 1-2 weeks from getting the Chem ID ready to golden MP files ready.

The basic idea is to make use of GPC tools: GPC Golden GG Maker Tool GPCRA0 and Golden GG Maker and Resistance Temperature Compensation Optimizer GPCRB.

GPCRA0 needs three files: config.txt, gg.csv and sysrate_rel_dis_rel.csv. An example of the content in the config.txt file is shown below. All data can be achieved before the Chem ID is released, except the Chem ID.

Note, that the log data (sysrate_rel_dis_rel.csv) can be achieved with the real xPyS pack (x cells in parallel and y cells in serial). The gg file gg.csv can be configured according to the xPyS pack, like Design Capacity.

Table 3-1 The config.txt file for GPCRA
ProcessingType=3 ProcessingType=3 is to tell the server this request is for GPCRA
ChemID=3616 Tell the server which Chem ID is used
NumCellSeries=2 Tell the server the pack configuration. For example, xPyS
ElapsedTimeColumn=0 Tell the server the column number of time in the log file
VoltageColumn=1 Tell the server the column number of voltage in the log file
CurrentColumn=2 Tell the server the column number of current in the log file
TemperatureColumn=3 Tell the server the column number of temperature in the log file

GPCRB needs four files: config.txt, gg.csv, lowtemp.csv and roomtemp.csv. An example of the content in the config.txt file is shown below. All data can be achieved before the Chem ID is released, except the Chem ID.

Note, that the log data (lowtemp.csv and roomtemp.csv) can be achieved with the real xPyS pack (x cells in parallel and y cells in serial). The gg file gg.csv can be configured according to the xPyS pack, like Design Capacity.

Table 3-2 The config.txt file for GPCRB
ProcessingType=4 ProcessingType=4 is to tell the server this request is for GPCRB
ChemID=2632 Tell the server which Chem ID is used
NumCellSeries=1 Tell the server the pack configuration. For example, xPyS
ElapsedTimeColumn=0 Tell the server the column number of time in the log file
VoltageColumn=1 Tell the server the column number of voltage in the log file
CurrentColumn=2 Tell the server the column number of current in the log file
TemperatureColumn=3 Tell the server the column number of temperature in the log file

The log data needs the physical measurement data: time, voltage, current and temperature. The data does not depend on which gauge to use, and also does not depend on if the gauge is well configured (calibration is needed to make sure the measurement accuracy of voltage, current and temperature). Users even can use the test equipment to achieve those data.

Users can start those requested tests for GPCRA0 and GPCRB to get the necessary log data, in parallel with Chem ID characterization. Brief test steps are listed below.

GPCRA0: charge to full, relax for 2 hours, discharge with system-typical high rate until the minimal voltage is hit, as specified by the cell manufacturer, then relax for 5 hours.

GPCRB: charge to full, relax for 2 hours, discharge under test temperature (25°C first, then 0°C or other low temperature of your choice) until the minimal voltage is hit, as specified by the cell manufacturer, then relax for 5 hours.

With those data and gg file ready, once the Chem ID is released, users can run GPCRA0 and GPCRB immediately and get the fine-tuned result within several minutes. Then, users can use those results to generate the golden file and start sample pack manufacturing to support based features test in the end customer side.

Table 3-3 shows that the new method can help customer to save 6 or 11 days.

Table 3-3 Days Needed with New Method VS Traditional Method
New Method (Days) New Method (Days) Traditional Method (Days)
Golden learning 0 1
Room temp accuracy test 0 1
Low temp accuracy test 0 4
Low temp accuracy test if GPCRB is needed 0 5

There can be a very low possibility that even after GPCRB, the low temperature performance is still not good enough. TI recommends to run golden learning, room temperature test, and low temperature test for verification. Go to the local FAE for support if the performance is not good.

Users are expected to bee familiar with GPCRA0 and GPCRB.