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BQ40Z80: The customized chemical ID 7778 for BQ40Z80 does not update during the learning test in step 04, and QMAX also does not update the issue

Part Number: BQ40Z80
Other Parts Discussed in Thread: GPCCHEM, BQ28Z610

Tool/software:

Hi TI Technical Team:
I have conducted three projects using the BQ40Z80 electricity meter on my end. The previous two projects used uploading battery cell test data to match the chemical ID, which went very smoothly; The latest project is a new battery cell system, but no suitable chemical ID has been matched;
We applied for a customized chemical ID according to the process, with customized ID 7778; But when we used this ID for learning testing, we found that QAMX did not update after repeated attempts, resulting in abnormal learning testing progress; Then I collected test data using customized chemical ID batteries and matched them with the latest TI chemical ID library. Within 3% of the matched IDs, there was no ID 7778; The other matching ID voltage platforms are 4.4V, which is different from the 4.35V of our battery cell and cannot be used;
We would like to know why the customized ID 7778 did not match the battery cell test data and how we can solve this problem at present; Please provide technical support, thank you0602.GG.gg.csv

Chemistry ID selection tool, rev=2.54		
		
Configuration used in present fit:		
ProcessingType = 2		
NumCellSeries = 1		
ElapsedTimeColumn=2		
VoltageColumn = 1		
CurrentColumn = 0		
TemperatureColumn = 3		
		
Best chemical ID : 7644	Best chemical ID max. deviation, % : 1.01	
		
		
		
Summary of all IDs with max. DOD deviation below 3%		
		
Chem ID	max DOD error, %	Max R deviation, ratio
7644	1.01	1.08
7484	1.17	1.27
7535	1.18	1.23
7293	1.19	0.84
7313	1.22	1.8
7641	1.23	0.58
7629	1.26	2.65
7299	1.29	1.35
7527	1.38	1.07
7612	1.38	1.92
7625	1.43	0.84
7429	1.44	0.74
7506	1.45	2.21
7525	1.47	2.64
7642	1.53	2.43
7640	1.64	1.44
7300	1.65	0.79
7611	1.74	3.46
7504	1.79	0.77
7528	1.92	0.91
7600	2.19	1.95
		
Max. deviations for best ID is within recommended range. Chosen best chemical ID is suitable for programming the gauge.		
		
		
Selection of best generic ID for ROM based devices like bq274xx		
		
		
Device / Family #1		
Generic Chem ID	Device/ Voltage/ Chemistry	max DOD error, %
3142	bq27421-G1D: 4.4V LiCoO2	7.29
354	bq27411-G1C: 4.35V LiCoO2	11.48
128	bq27421-G1A: 4.2V LiCoO2	21.49
312	bq27421-G1B: 4.3V LiCoO2	29.1
Best generic ID 3142		
Warning: Deviation for best generic ID is above recommended level for this device / family. Consider using another device, flash based gauge or RAM programming of custom ID.		
		
		
Device / Family #2		
Generic Chem ID	Device/ Voltage/ Chemistry	max DOD error, %
354	bq27621:  (ALT_CHEM2) 4.35V LiCoO2	11.48
1210	bq27621:  (ALT_CHEM1) 4.3V LiCoO2	12.6
1202	bq27621: (default) 4.2V LiCoO2	17.03
Best generic ID 354		
Warning: Deviation for best generic ID is above recommended level for this device / family. Consider using another device, flash based gauge or RAM programming of custom ID.		
		
		
Device / Family #3		
Generic Chem ID	Device/ Voltage/ Chemistry	max DOD error, %
3142	bq27426: (ALT-CHEM2) 4.4V LiCoO2	7.29
3230	bq27426: (default) 4.35V LiCoO2	10.59
1202	bq27426: (ALT_CHEM1) 4.2V LiCoO2	17.03
Best generic ID 3142		
Warning: Deviation for best generic ID is above recommended level for this device / family. Consider using another device, flash based gauge or RAM programming of custom ID.		
		
		

  • 6076.roomtemp_rel_dis_rel.csvAddendum: 0.1C discharge data of battery cells

  • Hello,

    Can you send me the datasheet for the battery you are using?

    Regards,

    Adrian

  • 6278146-8.2AH roomtemp_rel_dis_rel.csv

    Hello,

    This is the 0.1C discharge data of the battery we are currently using, which has the same chemical composition as the customized chemical ID battery cell but a different capacity;

  • Hello,

    When you say this battery you are using has a different capacity, is this not the same exact cell that was sent into our lab when ChemID 7778 was created. To use 7778, the exact same cell (and same capacity) must be used.

    Regards,

    Adrian

  •  

    Hello,

         the battery is being developed and designed with the same chemical composition sent to your laboratory, but the capacity is different, I want to learn through the cycle to achieve mass production use; This is supported by your algorithmic theory; the first two projects used the GPCCHEM tool to do ID matching Hu, and then learned through Golden Learning;

    so now what is the method to determine the cause of the problem? Help?

  • Hello,

    The most likely cause of the GPCCHEM tool not matching with the ChemID that was created in our lab is due to the accuracy of data collected. Our lab uses very high end equipment that is super accurate with voltage, temperature and current readings. If the battery was characterized in our lab then you should use that ChemID and disregard the GPCCHEM report.

    Regards,

    Adrian

  • Hello;

    The issue now is that when I directly use ID7778 for battery pack learning test, I find that QMAX cannot be, and the Update Status: 04 does not change. Can you provide some guidance on how to collect data for you to help analyze the cause

  • Hello,

    Can you share the gg file from the gauge? Can you also send me a log file from your learning cycle attempt.

    Regards,

    Adrian

  • 5850.GG.gg.csv5850.QGP6278146-240929.log

    Hello,

    The attached log is a log of discharge without updating Qmax (records only the discharge process, see if it is useful for analysis

    We use a design of 6 in series and 0 in parallel, with a configuration in the fuel gauge that reduces it by 8 times so the test design capacity is set to 1000mAH, and the cell capacity is 8200mAH

    ID7778 has the same chemical composition as this cell.

    Thanks for your support

  • Hello,

    Why did you decide to scale down capacity by a factor of 8, does you application also scale current down by a factor of 8?

    The first discharge does not affect Update Status, you will need to charge the battery until valid charge termination to see if update status change to 0x05.

    Regards,

    Adrian

  • 5504-4.4AH 241029C.log5504-4.4AH 241029C.gg.csv

    Hello,

    1. Our battery product requires a 160A current pulse, and based on the chip parameters, it is decided to apply 8-fold reduction, and the application program is also reduced by 8 times;

    2. I understand that according to the Golden Learning process, it cannot be to 0x05 after the effective charging termination, as seen in the log document and gg configuration document.

  • Hello,

    I see, make sure current and capacity are scaled down by that same value of 8.

    Regards,

    Adrian

  • Hello Yes, both capacity and current have been reduced; Could you please confirm the reason why the log data provided above did not change to x05 after the charging was terminated?

  • Hello,

    I can't see the initial discharge from the log file but make sure to discharge all the way down to terminate voltage for your battery. I see the voltage for each cell was around 3.4V which is kind of high.

    Regards,

    Adrian

  • 5504-241115.zip

    Hello, I have re-collected the data following the Golden Learning process:
    1. Discharged the battery to empty without recording logs; voltage was below the configured 19.2V cutoff voltage.
    2. Started recording logs and let it rest for over 5 hours; until [REST = 1.
    3. Enabled the fuel gauge (GAUGE_EN); waited until VOK=0.
    4. Start charging at0.5C, at this point VOK will change from 0 to 1.
    5. Charged to the cutoff current and let it rest for over 2 hours until [REST] = 1; QAX did not update; Update Status = 0x04.
    6. Continued discharging at 0.2C until the voltage reached the cutoff voltage,18.5V.

    Please help analyze and determine the reason for the learning failure. I have used your BQ40Z and BQ28Z610 series products in 10 projects without any issues, and I have even applied for a custom chemistry ID. Thank you

  • Hello,

    I looked at the data and I believe the issue might be that the cells are very imbalanced. At the start of the log file you can see that Cell 4 is at 3333mV while Cell 2 is at 3022mV. You will need to balance the cells to complete the learning cycle successfully.

    Regards,

    Adrian