Tool/software:
Hello,
Background:
We are validating the FCC values and Qmax values predicted by FuelgaugeIC after self-learning (passedcharge>Qmax*37%) for batteries with different aging levels.
We do this by finding aging batteries with a gradient of 10%, starting self-learning from SOH=90%, and after successful learning, re-generating the 90%_Fs file based on the registers (subclassID 0x52, 0x59, 0x69, 0x6D) that changed during the learning process.
Perform self-learning again using a cell with SOH=80% and generate the 80%_Fs file. Execute in sequence.
Issue:
Generated 76%_Fs file, inserted the battery with SOH=70% and discharged more than Qmax*38%, but Qmax is not updated.
Please help to confirm the reason?
Attached is the 76%_Fs file and test log.
背景:
我们在验证不同老化程度的电池,经过自学习(passedcharge>Qmax*37%)后,FuelgaugeIC预测的FCC值和Qmax值。
我们的做法是:寻找梯度为10%的老化电池,从SOH=90%开始自学习,学习成功后,根据学习过程中变化的寄存器(subclassID 0x52、0x59、0x69、0x6D),重新生成90%_Fs文件。
再使用SOH=80%的电池进行自学习,生成80%_Fs文件。依次执行。
问题:
生成了76%_Fs文件,插入SOH=70%的电池,放电量超过了Qmax*38%,但Qmax没有更新。请帮忙确认原因?
附件是76%_Fs文件和测试日志。