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MAX17050 参数 Datasheet PDF下载

MAX17050图片预览
型号: MAX17050
PDF下载: 下载PDF文件 查看货源
内容描述: ModelGauge立方米电量计 [ModelGauge m3 Fuel Gauge]
分类和应用: 仪表
文件页数/大小: 47 页 / 2597 K
品牌: MAXIM [ MAXIM INTEGRATED PRODUCTS ]
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MAX17047/MAX17050  
ModelGauge m3 Fuel Gauge  
The resulting output from the mixing algorithm does  
not suffer drift from current measurement offset error  
and is more stable than a stand-alone OCV estimation  
algorithm; see Figure 4. Initial accuracy depends on the  
relaxation state of the cell. The highest initial accuracy is  
achieved with a fully relaxed cell.  
OCV Estimation and Coulomb-Count Mixing  
The core of the ModelGauge m3 algorithm is a mixing  
algorithm that combines the OCV state estimation with  
the coulomb counter. After power-on reset of the IC,  
coulomb-count accuracy is unknown. The OCV state  
estimation is weighted heavily compared to the coulomb-  
count output. As the cell progresses through cycles in  
the application, coulomb-counter accuracy improves  
and the mixing algorithm alters the weighting so that  
the coulomb-counter result is dominant. From this point  
forward, the IC switches to servo mixing. Servo mixing  
provides a fixed magnitude continuous error correction to  
the coulomb count, up or down, based on the direction  
of error from the OCV estimation. This allows differences  
between the coulomb count and OCV estimation to be  
corrected quickly. See Figure 3.  
Fuel-Gauge Empty Compensation  
As the temperature and discharge rate of an applica-  
tion changes, the amount of charge available to the  
application also changes. The ModelGauge m3 algo-  
rithm distinguishes between remaining capacity of the  
cell (RemCap  
) and remaining capacity of the appli-  
AV  
MIX  
cation (RemCap ) and reports both results to the user.  
Fuel-Gauge Learning  
The device periodically makes internal adjustments  
to cell characterization and application information to  
remove initial error and maintain accuracy as the cell  
ages. These adjustments always occur as small under-  
corrections to prevent instability of the system and  
prevent any noticeable jumps in the fuel-gauge outputs.  
Learning occurs automatically without any input from the  
host. To maintain learned accuracy through power loss,  
the host must periodically save learned information and  
then restore after power is returned. See the Power-Up  
and Power-On Reset section for details:  
100%  
COULOMB-COUNT INFLUENCE  
SERVO MIXING  
Full Capacity Available to Application (FullCAP).  
This is the total capacity available to the application  
at full. FullCAP is updated near the end of charging  
when termination is detected. See the End-of-Charge  
Detection section.  
OCV  
INFLUENCE  
0%  
0
0.50  
1.00  
1.50  
2.00  
CELL CYCLES  
Figure 3. ModelGauge m3 OCV and Coulomb-Count Mixing  
TYPICAL OCV ESTIMATION  
ERROR AS CELL IS CYCLED  
MAXIMUM COULOMB-COUNTER ERROR  
(SHADED AREA)  
ModelGauge m3  
OCV + COULOMB-COUNT MIXING  
MAXIMUM ERROR RANGE  
TIME  
Figure 4. ModelGauge m3 Algorithm Mixing Conceptual Illustration  
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